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Sample records for allelic discrimination method

  1. A novel measurement of allele discrimination for assessment of allele-specific silencing by RNA interference.

    PubMed

    Takahashi, Masaki; Hohjoh, Hirohiko

    2014-11-01

    Allele-specific silencing by RNA interference (ASP-RNAi) is an atypical RNAi that is capable of discriminating target alleles from non-target alleles, and may be therapeutically useful for specific inhibition of disease-causing alleles without affecting their corresponding normal alleles. However, it is difficult to design and select small interfering RNA (siRNAs) that confer ASP-RNAi. A major problem is that there are few appropriate measures in determining optimal allele-specific siRNAs. Here we show two novel formulas for calculating a new measure of allele-discrimination, named "ASP-score". The formulas and ASP-score allow for an unbiased determination of optimal siRNAs, and may contribute to characterizing such allele-specific siRNAs.

  2. Development of TaqMan allelic discrimination based genotyping of large DNA deletions.

    PubMed

    Fedick, Anastasia; Su, Jing; Treff, Nathan R

    2012-03-01

    The high prevalence of genetic diseases resulting from gross deletions has highlighted a need for a quick, simple, and reliable method of genotyping these mutations. Here, we developed a novel strategy for applying TaqMan allelic discrimination to accurately genotype 3 different large deletions in a high-throughput manner. Allelic discrimination has previously been used to genotype frame shift and point mutations, and small insertions or deletions six base pairs in length, but not large deletions. The assays designed here recognize a 2502 base pair deletion in the Nebulin (NEB) gene that results in Nemaline Myopathy, a 308,769 base pair deletion in the Gap Junction Protein, beta 6 (GJB6) gene that causes Hearing Loss, and a 6433 base pair deletion in the Mucolipin 1 (MCOLN1) gene responsible for causing Mucolipidosis IV Disease. This methodology may also be successfully applied to high throughput genotyping of other large deletions. PMID:22281206

  3. HLA alleles may serve as a tool to discriminate atypical type 2 diabetic patients

    PubMed Central

    Fernández, Mariana; Fabregat, Matías; Javiel, Gerardo; Mimbacas, Adriana

    2014-01-01

    AIM: To investigate whether the presence of human leukocyte antigen (HLA) marker could add new information to discriminated atypical diabetic type 2 patients. METHODS: We analyzed 199 patients initially diagnosed as type 2 diabetes who are treated in special care diabetes clinics (3rd level). This population was classified in “atypical” (sample A) and “classic” (sample B) according to HLA typing. We consider “classic patient” when has absence of type 1 diabetes associated HLA alleles and no difficulties in their diagnosis and treatments. By the other hand, we considered “atypical patient” when show type 1 diabetes associated HLA alleles and difficulties in their diagnosis and treatments. The standard protocol Asociacion Latinoamericana de Diabetes 2006 was used for patients follow up. To analyze differences between both populations in paraclinical parameters we used unpaired t tests and contingence tables. Bivariate and multivariate analyses were carried out using the SPSS software program. In all studies we assume differences statistically significant, with a P-value < 0.05 corrected and 95%CI. RESULTS: The typing HLA in the “atypical” populations show that 92.47% patients presented at list one type 1 diabetes associated HLA alleles (DQB1*0201-0302 and DR 3-4) and 7.53% had two of its. The results showed for categorical variables (family history, presence or absence of hypertension and/or dyslipidemia, reason for initial consultation) the only difference found was at dyslipidemia (OR = 0.45, 0.243 < OD < 0.822 (P < 0.001). In relation to continuous variables we found significant differences between atypical vs classic only in cholesterol (5.07 ± 1.1 vs 5.56 ± 1.5, P < 0.05), high density lipoproteins (1.23 ± 0.3 vs 1.33 ± 0.3, P < 0.05) and low density lipoproteins (2.86 ± 0.9 vs 3.38 ± 1.7, P < 0.01). None of the variables had discriminating power when logistic regression was done. CONCLUSION: We propose an algorithm including HLA

  4. Discrimination of HLA null and low expression alleles by cytokine-induced secretion of recombinant soluble HLA.

    PubMed

    Hinrichs, Jan; Figueiredo, Constança; Hirv, Kaimo; Mytilineos, Joannis; Blasczyk, Rainer; Horn, Peter A; Eiz-Vesper, Britta

    2009-04-01

    . Additionally, this discrimination between cytokine inducible and non-inducible defect alleles may be important in allotransplant settings in which a cytokine storm usually occurs following pre-transplant myeloablative conditioning or post-transplant immunosuppressive therapy.

  5. Method for discriminative particle selection

    DOEpatents

    Post, Richard F.

    1992-01-01

    The invention is a method and means for separating ions or providing an ion beam. The invention generates ions of the isotopes to be separated, and then provides a traveling electric potential hill created by a sequential series of quasi static electric potential hills. By regulating the velocity and potential amplitude of the traveling electric potential hill ionized isotopes are selectively positively or negatively accelerated. Since the ionized isotopes have differing final velocities, the isotopes may be collected separately or used to produce an ion beam of a selected isotope.

  6. Non-Equilibrium Allele Frequency Spectra Via Spectral Methods

    PubMed Central

    Hey, Jody; Chen, Kevin

    2011-01-01

    A major challenge in the analysis of population genomics data consists of isolating signatures of natural selection from background noise caused by random drift and gene flow. Analyses of massive amounts of data from many related populations require high-performance algorithms to determine the likelihood of different demographic scenarios that could have shaped the observed neutral single nucleotide polymorphism (SNP) allele frequency spectrum. In many areas of applied mathematics, Fourier Transforms and Spectral Methods are firmly established tools to analyze spectra of signals and model their dynamics as solutions of certain Partial Differential Equations (PDEs). When spectral methods are applicable, they have excellent error properties and are the fastest possible in high dimension; see [15]. In this paper we present an explicit numerical solution, using spectral methods, to the forward Kolmogorov equations for a Wright-Fisher process with migration of K populations, influx of mutations, and multiple population splitting events. PMID:21376069

  7. Short PNA molecular beacons for real-time PCR allelic discrimination of single nucleotide polymorphisms.

    PubMed

    Petersen, Kenneth; Vogel, Ulla; Rockenbauer, Eszter; Nielsen, Kirsten Vang; Kølvraa, Steen; Bolund, Lars; Nexø, Bjørn

    2004-04-01

    The typing of a single nucleotide polymorphism with DNA probes is sometimes problematic because of the limited discriminating power of long DNA probes. As an alternative to existing assays, we have developed a real-time PCR assay for the genotyping of single nucleotide polymorphisms using short peptide nucleic acid (PNA) molecular beacons. A single nucleotide polymorphism in exon 6 of the XPD gene was chosen as the model system. The genotyping experiments were performed in the ABI 7700 using beacons labeled with either fluorescein or JOE, and in the Lightcycler using a fluorescein labeled beacon. QSY-7 was used as the quencher in all the beacons. The result of the genotyping was the same on both instruments and was in agreement with a previously performed RFLP genotyping of 79 samples. The length of PNA molecular beacons is significantly shorter than that of TaqMan or Lightcycler probes, making probe design and genotype discrimination easier.

  8. Discriminant forest classification method and system

    DOEpatents

    Chen, Barry Y.; Hanley, William G.; Lemmond, Tracy D.; Hiller, Lawrence J.; Knapp, David A.; Mugge, Marshall J.

    2012-11-06

    A hybrid machine learning methodology and system for classification that combines classical random forest (RF) methodology with discriminant analysis (DA) techniques to provide enhanced classification capability. A DA technique which uses feature measurements of an object to predict its class membership, such as linear discriminant analysis (LDA) or Andersen-Bahadur linear discriminant technique (AB), is used to split the data at each node in each of its classification trees to train and grow the trees and the forest. When training is finished, a set of n DA-based decision trees of a discriminant forest is produced for use in predicting the classification of new samples of unknown class.

  9. An allele-specific PCR system for rapid detection and discrimination of the CYP2C19∗4A, ∗4B, and ∗17 alleles: implications for clopidogrel response testing.

    PubMed

    Scott, Stuart A; Tan, Qian; Baber, Usman; Yang, Yao; Martis, Suparna; Bander, Jeffrey; Kornreich, Ruth; Hulot, Jean-Sébastien; Desnick, Robert J

    2013-11-01

    CYP2C19 is involved in the metabolism of clinically relevant drugs, including the antiplatelet prodrug clopidogrel, which has prompted interest in clinical CYP2C19 genotyping. The CYP2C19∗4B allele is defined by both gain-of-function [c.-806C>T (∗17)] and loss-of-function [c.1A>G (∗4)] variants on the same haplotype; however, current genotyping and sequencing assays are unable to determine the phase of these variants. Thus, the aim of this study was to develop an assay that could rapidly detect and discriminate the related ∗4A, ∗4B, and ∗17 alleles. An allele-specific PCR assay, composed of four unique primer mixes that specifically interrogate the defining ∗17 and ∗4 variants, was developed by using samples (n = 20) with known genotypes, including the ∗4A, ∗4B, and/or ∗17 alleles. The assay was validated by testing 135 blinded samples, and the results were correlated with CYP2C19 genotyping and allele-specific cloning/sequencing. Importantly, among the six ∗4 carriers in the validation cohort, after allele-specific PCR testing both samples with a ∗1/∗4 genotype were reclassified to ∗1/∗4A, all three samples with a ∗4/∗17 genotype were reclassified to ∗1/∗4B, and a sample with a ∗4/∗17/∗17 genotype was reclassified to ∗4B/∗17. In conclusion, this rapid and robust allele-specific PCR assay can refine CYP2C19 genotyping and metabolizer phenotype classification by determining the phase of the defining ∗17 and ∗4 variants, which may have utility when testing CYP2C19 for clopidogrel response.

  10. Reliability assessment of null allele detection: inconsistencies between and within different methods.

    PubMed

    Dąbrowski, M J; Pilot, M; Kruczyk, M; Żmihorski, M; Umer, H M; Gliwicz, J

    2014-03-01

    Microsatellite loci are widely used in population genetic studies, but the presence of null alleles may lead to biased results. Here, we assessed five methods that indirectly detect null alleles and found large inconsistencies among them. Our analysis was based on 20 microsatellite loci genotyped in a natural population of Microtus oeconomus sampled during 8 years, together with 1200 simulated populations without null alleles, but experiencing bottlenecks of varying duration and intensity, and 120 simulated populations with known null alleles. In the natural population, 29% of positive results were consistent between the methods in pairwise comparisons, and in the simulated data set, this proportion was 14%. The positive results were also inconsistent between different years in the natural population. In the null-allele-free simulated data set, the number of false positives increased with increased bottleneck intensity and duration. We also found a low concordance in null allele detection between the original simulated populations and their 20% random subsets. In the populations simulated to include null alleles, between 22% and 42% of true null alleles remained undetected, which highlighted that detection errors are not restricted to false positives. None of the evaluated methods clearly outperformed the others when both false-positive and false-negative rates were considered. Accepting only the positive results consistent between at least two methods should considerably reduce the false-positive rate, but this approach may increase the false-negative rate. Our study demonstrates the need for novel null allele detection methods that could be reliably applied to natural populations.

  11. 'True' null allele detection in microsatellite loci: a comparison of methods, assessment of difficulties and survey of possible improvements.

    PubMed

    Dąbrowski, M J; Bornelöv, S; Kruczyk, M; Baltzer, N; Komorowski, J

    2015-05-01

    Null alleles are alleles that for various reasons fail to amplify in a PCR assay. The presence of null alleles in microsatellite data is known to bias the genetic parameter estimates. Thus, efficient detection of null alleles is crucial, but the methods available for indirect null allele detection return inconsistent results. Here, our aim was to compare different methods for null allele detection, to explain their respective performance and to provide improvements. We applied several approaches to identify the 'true' null alleles based on the predictions made by five different methods, used either individually or in combination. First, we introduced simulated 'true' null alleles into 240 population data sets and applied the methods to measure their success in detecting the simulated null alleles. The single best-performing method was ML-NullFreq_frequency. Furthermore, we applied different noise reduction approaches to improve the results. For instance, by combining the results of several methods, we obtained more reliable results than using a single one. Rule-based classification was applied to identify population properties linked to the false discovery rate. Rules obtained from the classifier described which population genetic estimates and loci characteristics were linked to the success of each method. We have shown that by simulating 'true' null alleles into a population data set, we may define a null allele frequency threshold, related to a desired true or false discovery rate. Moreover, using such simulated data sets, the expected null allele homozygote frequency may be estimated independently of the equilibrium state of the population.

  12. ACNE: a summarization method to estimate allele-specific copy numbers for Affymetrix SNP arrays

    PubMed Central

    Ortiz-Estevez, Maria; Bengtsson, Henrik; Rubio, Angel

    2010-01-01

    Motivation: Current algorithms for estimating DNA copy numbers (CNs) borrow concepts from gene expression analysis methods. However, single nucleotide polymorphism (SNP) arrays have special characteristics that, if taken into account, can improve the overall performance. For example, cross hybridization between alleles occurs in SNP probe pairs. In addition, most of the current CN methods are focused on total CNs, while it has been shown that allele-specific CNs are of paramount importance for some studies. Therefore, we have developed a summarization method that estimates high-quality allele-specific CNs. Results: The proposed method estimates the allele-specific DNA CNs for all Affymetrix SNP arrays dealing directly with the cross hybridization between probes within SNP probesets. This algorithm outperforms (or at least it performs as well as) other state-of-the-art algorithms for computing DNA CNs. It better discerns an aberration from a normal state and it also gives more precise allele-specific CNs. Availability: The method is available in the open-source R package ACNE, which also includes an add on to the aroma.affymetrix framework (http://www.aroma-project.org/). Contact: arubio@ceit.es Supplementaruy information: Supplementary data are available at Bioinformatics online. PMID:20529889

  13. Linear allele-specific long-range amplification: a novel method of long-range molecular haplotyping.

    PubMed

    Wu, Wei-Ming; Tsai, Hsiang-Ju; Pang, Jong-Hwei S; Wang, Tzu-Hao; Wang, Hsin-Shih; Hong, Hong-Shang; Lee, Yun-Shien

    2005-10-01

    Haplotypes have been repeatedly shown to be more powerful than collections of single-locus markers in gene-mapping studies. Various haplotyping methods including statistical estimation are employed but molecular haplotyping, the acquisition of information directly on physical DNA sequences, has been in demand for its accuracy and independence from family pedigrees. We investigated the allelic specificity of long-range PCR, which was successful for long-range haplotyping in recent reports, and found problems of initial mispriming and crossover amplification significantly confounded its application. Based on these observations, we designed a novel method based on linear amplification of a hemizygous DNA segment with a single phosphorothioate-modified oligonucleotide. Our results revealed, with a single nucleotide polymorphism as the discriminative marker, downstream haplotypes of 14-15 kb DNA segment could be confidently scored. With two rounds of the method and five single nucleotide polymorphisms, molecular haplotypes of 29.3 kb spanning the HCR and CDSN genes, two genes associated with the susceptibility of psoriasis, of 11 members, belonging to a CEPH family, were revealed. Clear Mendelian segregation of 35 highly heterozygous SNPs confirmed the accuracy of the method. Problems of low specificity associated with long-range PCR were not observed. The simplicity, along with long-sequence accessibility and feasibility of a single nucleotide difference as the discriminative marker indicated our method holds promise for future gene-mapping studies.

  14. Score-moment combined linear discrimination analysis (SMC-LDA) as an improved discrimination method.

    PubMed

    Han, Jintae; Chung, Hoeil; Han, Sung-Hwan; Yoon, Moon-Young

    2007-01-01

    A new discrimination method called the score-moment combined linear discrimination analysis (SMC-LDA) has been developed and its performance has been evaluated using three practical spectroscopic datasets. The key concept of SMC-LDA was to use not only the score from principal component analysis (PCA), but also the moment of the spectrum, as inputs for LDA to improve discrimination. Along with conventional score, moment is used in spectroscopic fields as an effective alternative for spectral feature representation. Three different approaches were considered. Initially, the score generated from PCA was projected onto a two-dimensional feature space by maximizing Fisher's criterion function (conventional PCA-LDA). Next, the same procedure was performed using only moment. Finally, both score and moment were utilized simultaneously for LDA. To evaluate discrimination performances, three different spectroscopic datasets were employed: (1) infrared (IR) spectra of normal and malignant stomach tissue, (2) near-infrared (NIR) spectra of diesel and light gas oil (LGO) and (3) Raman spectra of Chinese and Korean ginseng. For each case, the best discrimination results were achieved when both score and moment were used for LDA (SMC-LDA). Since the spectral representation character of moment was different from that of score, inclusion of both score and moment for LDA provided more diversified and descriptive information.

  15. A Polytomous Extension of the Generalized Distance Discriminating Method

    ERIC Educational Resources Information Center

    Sun, Jianan; Xin, Tao; Zhang, Shumei; de la Torre, Jimmy

    2013-01-01

    This article proposes a generalized distance discriminating method for test with polytomous response (GDD-P). The new method is the polytomous extension of an item response theory (IRT)-based cognitive diagnostic method, which can identify examinees' ideal response patterns (IRPs) based on a generalized distance index. The similarities…

  16. A method for estimating the intensity of overdominant selection from the distribution of allele frequencies.

    PubMed Central

    Slatkin, M; Muirhead, C A

    2000-01-01

    A method is proposed for estimating the intensity of overdominant selection scaled by the effective population size, S = 2Ns, from allele frequencies. The method is based on the assumption that, with strong overdominant selection, allele frequencies are nearly at their deterministic equilibrium values and that, to a first approximation, deviations depend only on S. Simulations verify that reasonably accurate estimates of S can be obtained for realistic sample sizes. The method is applied to data from several loci in the major histocompatibility complex (Mhc) in numerous human populations. For alleles distinguished by both serological typing and the sequence of the peptide-binding region, our estimates of S are comparable to those obtained by analysis of DNA sequences in showing that selection is strongest on HLA-B and weaker on HLA-A, HLA-DRB1, and HLA-DQA1. The intensity of selection on HLA-B varied considerably among populations. Two populations, Native American and Inuit, showed an excess rather than a deficiency in homozygosity. Comparable estimates of S were obtained for alleles at Mhc class II loci distinguished by serological reactions (serotyping) and by differences in the amino acid sequences of the peptide-binding region (molecular typing). A comparison of two types of data for DQA1 and DRB1 showed that serotyping led to generally lower estimates of S. PMID:11102400

  17. Graphical methods for the sensitivity analysis in discriminant analysis

    DOE PAGES

    Kim, Youngil; Anderson-Cook, Christine M.; Dae-Heung, Jang

    2015-09-30

    Similar to regression, many measures to detect influential data points in discriminant analysis have been developed. Many follow similar principles as the diagnostic measures used in linear regression in the context of discriminant analysis. Here we focus on the impact on the predicted classification posterior probability when a data point is omitted. The new method is intuitive and easily interpretative compared to existing methods. We also propose a graphical display to show the individual movement of the posterior probability of other data points when a specific data point is omitted. This enables the summaries to capture the overall pattern ofmore » the change.« less

  18. Graphical methods for the sensitivity analysis in discriminant analysis

    SciTech Connect

    Kim, Youngil; Anderson-Cook, Christine M.; Dae-Heung, Jang

    2015-09-30

    Similar to regression, many measures to detect influential data points in discriminant analysis have been developed. Many follow similar principles as the diagnostic measures used in linear regression in the context of discriminant analysis. Here we focus on the impact on the predicted classification posterior probability when a data point is omitted. The new method is intuitive and easily interpretative compared to existing methods. We also propose a graphical display to show the individual movement of the posterior probability of other data points when a specific data point is omitted. This enables the summaries to capture the overall pattern of the change.

  19. Conditionals by inversion provide a universal method for the generation of conditional alleles

    PubMed Central

    Economides, Aris N.; Frendewey, David; Yang, Peter; Dominguez, Melissa G.; Dore, Anthony T.; Lobov, Ivan B.; Persaud, Trikaldarshi; Rojas, Jose; McClain, Joyce; Lengyel, Peter; Droguett, Gustavo; Chernomorsky, Rostislav; Stevens, Sean; Auerbach, Wojtek; DeChiara, Thomas M.; Pouyemirou, William; Cruz, Joseph M.; Feeley, Kieran; Mellis, Ian A.; Yasenchack, Jason; Hatsell, Sarah J.; Xie, LiQin; Latres, Esther; Huang, Lily; Zhang, Yuhong; Pefanis, Evangelos; Skokos, Dimitris; Deckelbaum, Ron A.; Croll, Susan D.; Davis, Samuel; Valenzuela, David M.; Gale, Nicholas W.; Murphy, Andrew J.; Yancopoulos, George D.

    2013-01-01

    Conditional mutagenesis is becoming a method of choice for studying gene function, but constructing conditional alleles is often laborious, limited by target gene structure, and at times, prone to incomplete conditional ablation. To address these issues, we developed a technology termed conditionals by inversion (COIN). Before activation, COINs contain an inverted module (COIN module) that lies inertly within the antisense strand of a resident gene. When inverted into the sense strand by a site-specific recombinase, the COIN module causes termination of the target gene’s transcription and simultaneously provides a reporter for tracking this event. COIN modules can be inserted into natural introns (intronic COINs) or directly into coding exons as part of an artificial intron (exonic COINs), greatly simplifying allele design and increasing flexibility over previous conditional KO approaches. Detailed analysis of over 20 COIN alleles establishes the reliability of the method and its broad applicability to any gene, regardless of exon–intron structure. Our extensive testing provides rules that help ensure success of this approach and also explains why other currently available conditional approaches often fail to function optimally. Finally, the ability to split exons using the COIN’s artificial intron opens up engineering modalities for the generation of multifunctional alleles. PMID:23918385

  20. Quaternion-Based Discriminant Analysis Method for Color Face Recognition

    PubMed Central

    Xu, Yong

    2012-01-01

    Pattern recognition techniques have been used to automatically recognize the objects, personal identities, predict the function of protein, the category of the cancer, identify lesion, perform product inspection, and so on. In this paper we propose a novel quaternion-based discriminant method. This method represents and classifies color images in a simple and mathematically tractable way. The proposed method is suitable for a large variety of real-world applications such as color face recognition and classification of the ground target shown in multispectrum remote images. This method first uses the quaternion number to denote the pixel in the color image and exploits a quaternion vector to represent the color image. This method then uses the linear discriminant analysis algorithm to transform the quaternion vector into a lower-dimensional quaternion vector and classifies it in this space. The experimental results show that the proposed method can obtain a very high accuracy for color face recognition. PMID:22937054

  1. Quaternion-based discriminant analysis method for color face recognition.

    PubMed

    Xu, Yong

    2012-01-01

    Pattern recognition techniques have been used to automatically recognize the objects, personal identities, predict the function of protein, the category of the cancer, identify lesion, perform product inspection, and so on. In this paper we propose a novel quaternion-based discriminant method. This method represents and classifies color images in a simple and mathematically tractable way. The proposed method is suitable for a large variety of real-world applications such as color face recognition and classification of the ground target shown in multispectrum remote images. This method first uses the quaternion number to denote the pixel in the color image and exploits a quaternion vector to represent the color image. This method then uses the linear discriminant analysis algorithm to transform the quaternion vector into a lower-dimensional quaternion vector and classifies it in this space. The experimental results show that the proposed method can obtain a very high accuracy for color face recognition. PMID:22937054

  2. Discrimination of inflammatory bowel disease using Raman spectroscopy and linear discriminant analysis methods

    NASA Astrophysics Data System (ADS)

    Ding, Hao; Cao, Ming; DuPont, Andrew W.; Scott, Larry D.; Guha, Sushovan; Singhal, Shashideep; Younes, Mamoun; Pence, Isaac; Herline, Alan; Schwartz, David; Xu, Hua; Mahadevan-Jansen, Anita; Bi, Xiaohong

    2016-03-01

    Inflammatory bowel disease (IBD) is an idiopathic disease that is typically characterized by chronic inflammation of the gastrointestinal tract. Recently much effort has been devoted to the development of novel diagnostic tools that can assist physicians for fast, accurate, and automated diagnosis of the disease. Previous research based on Raman spectroscopy has shown promising results in differentiating IBD patients from normal screening cases. In the current study, we examined IBD patients in vivo through a colonoscope-coupled Raman system. Optical diagnosis for IBD discrimination was conducted based on full-range spectra using multivariate statistical methods. Further, we incorporated several feature selection methods in machine learning into the classification model. The diagnostic performance for disease differentiation was significantly improved after feature selection. Our results showed that improved IBD diagnosis can be achieved using Raman spectroscopy in combination with multivariate analysis and feature selection.

  3. Absolute quantification of the alleles in somatic point mutations by bioluminometric methods based on competitive polymerase chain reaction in the presence of a locked nucleic acid blocker or an allele-specific primer.

    PubMed

    Iliadi, Alexandra; Petropoulou, Margarita; Ioannou, Penelope C; Christopoulos, Theodore K; Anagnostopoulos, Nikolaos I; Kanavakis, Emmanuel; Traeger-Synodinos, Jan

    2011-09-01

    In somatic (acquired) point mutations, the challenge is to quantify minute amounts of the mutant allele in the presence of a large excess of the normal allele that differs only in a single base pair. We report two bioluminometric methods that enable absolute quantification of the alleles. The first method exploits the ability of a locked nucleic acid (LNA) oligonucleotide to bind to and inhibit effectively the polymerase chain reaction (PCR) amplification of the normal allele while the amplification of the mutant allele remains unaffected. The second method employs allele-specific PCR primers, thereby allowing the amplification of the corresponding allele only. DNA internal standards (competitors) are added to the PCR mixture to compensate for any sample-to-sample variation in the amplification efficiency. The amplification products from the two alleles and the internal standards are quantified by a microtiter well-based bioluminometric hybridization assay using the photoprotein aequorin as a reporter. The methods allow absolute quantification of less than 300 copies of the mutant allele even in samples containing less than 1% of the mutant allele.

  4. Construction of mutant alleles in Saccharomyces cerevisiae without cloning: overview and the delitto perfetto method.

    PubMed

    Moqtaderi, Zarmik; Geisberg, Joseph V

    2013-01-01

    Traditionally, methods for introducing specific new mutations at target loci in the yeast genome have involved the preparation of disruption or gene-replacement cassettes via multiple cloning steps. Sequences used for targeting these cassettes or integrating vectors are typically several hundred base pairs long. A variety of newer methods rely on the design of custom PCR oligonucleotides containing shorter sequence tails (∼50 nt) for targeting the locus of interest. These techniques obviate the need for cloning steps and allow construction of mutagenesis cassettes by PCR amplification. Such cassettes may be used for gene deletion, epitope tagging, or site-specific mutagenesis. The strategies differ in several ways, most notably with respect to whether they allow reuse of the selection marker and whether extra sequences are left behind near the target locus. This unit presents a summary of methods for targeted mutagenesis of Saccharomyces cerevisiae loci without cloning, including PCR-based allele replacement, delitto perfetto, and MIRAGE. Next, a protocol is provided for the delitto perfetto PCR- and oligonucleotide-based mutagenesis method, which offers particular advantages for generating several different mutant alleles of the same gene. PMID:24510296

  5. Somatic Mutation Allelic Ratio Test Using ddPCR (SMART-ddPCR): An Accurate Method for Assessment of Preferential Allelic Imbalance in Tumor DNA

    PubMed Central

    de Smith, Adam J.; Walsh, Kyle M.; Hansen, Helen M.; Endicott, Alyson A.; Wiencke, John K.; Metayer, Catherine; Wiemels, Joseph L.

    2015-01-01

    The extent to which heritable genetic variants can affect tumor development has yet to be fully elucidated. Tumor selection of single nucleotide polymorphism (SNP) risk alleles, a phenomenon called preferential allelic imbalance (PAI), has been demonstrated in some cancer types. We developed a novel application of digital PCR termed Somatic Mutation Allelic Ratio Test using Droplet Digital PCR (SMART-ddPCR) for accurate assessment of tumor PAI, and have applied this method to test the hypothesis that heritable SNPs associated with childhood acute lymphoblastic leukemia (ALL) may demonstrate tumor PAI. These SNPs are located at CDKN2A (rs3731217) and IKZF1 (rs4132601), genes frequently lost in ALL, and at CEBPE (rs2239633), ARID5B (rs7089424), PIP4K2A (rs10764338), and GATA3 (rs3824662), genes located on chromosomes gained in high-hyperdiploid ALL. We established thresholds of AI using constitutional DNA from SNP heterozygotes, and subsequently measured allelic copy number in tumor DNA from 19–142 heterozygote samples per SNP locus. We did not find significant tumor PAI at these loci, though CDKN2A and IKZF1 SNPs showed a trend towards preferential selection of the risk allele (p = 0.17 and p = 0.23, respectively). Using a genomic copy number control ddPCR assay, we investigated somatic copy number alterations (SCNA) underlying AI at CDKN2A and IKZF1, revealing a complex range of alterations including homozygous and hemizygous deletions and copy-neutral loss of heterozygosity, with varying degrees of clonality. Copy number estimates from ddPCR showed high agreement with those from multiplex ligation-dependent probe amplification (MLPA) assays. We demonstrate that SMART-ddPCR is a highly accurate method for investigation of tumor PAI and for assessment of the somatic alterations underlying AI. Furthermore, analysis of publicly available data from The Cancer Genome Atlas identified 16 recurrent SCNA loci that contain heritable cancer risk SNPs associated with a

  6. Analysis of bla(SHV) codon 238 and 240 allele mixtures using Sybr green high-resolution melting analysis.

    PubMed

    Andersson, Patiyan; Harris, Tegan; Tong, Steven Y C; Giffard, Philip M

    2009-06-01

    Klebsiella pneumoniae isolates frequently contain complex mixtures of bla(SHV) alleles. A high-resolution melting-based method for interrogating the extended-spectrum activity conferring codon 238 and 240 polymorphisms was developed. This detects minority extended-spectrum beta-lactamase-encoding alleles, allows estimation of allele ratios, and discriminates between single and double mutants.

  7. Discriminative power of Campylobacter phenotypic and genotypic typing methods.

    PubMed

    Duarte, Alexandra; Seliwiorstow, Tomasz; Miller, William G; De Zutter, Lieven; Uyttendaele, Mieke; Dierick, Katelijne; Botteldoorn, Nadine

    2016-06-01

    The aim of this study was to compare different typing methods, individually and combined, for use in the monitoring of Campylobacter in food. Campylobacter jejuni (n=94) and Campylobacter coli (n=52) isolated from different broiler meat carcasses were characterized using multilocus sequence typing (MLST), flagellin gene A restriction fragment length polymorphism typing (flaA-RFLP), antimicrobial resistance profiling (AMRp), the presence/absence of 5 putative virulence genes; and, exclusively for C. jejuni, the determination of lipooligosaccharide (LOS) class. Discriminatory power was calculated by the Simpson's index of diversity (SID) and the congruence was measured by the adjusted Rand index and adjusted Wallace coefficient. MLST was individually the most discriminative typing method for both C. jejuni (SID=0.981) and C. coli (SID=0.957). The most discriminative combination with a SID of 0.992 for both C. jejuni and C. coli was obtained by combining MLST with flaA-RFLP. The combination of MLST with flaA-RFLP is an easy and feasible typing method for short-term monitoring of Campylobacter in broiler meat carcass. PMID:26996762

  8. Spatial discrimination and visual discrimination: two methods evaluating learning and memory in juvenile Göttingen minipigs.

    PubMed

    Haagensen, Annika M J; Grand, Nanna; Klastrup, Signe; Skytte, Christina; Sørensen, Dorte B

    2013-06-01

    Two methods investigating learning and memory in juvenile Göttingen minipigs were evaluated for potential use in preclinical toxicity testing. Twelve minipigs were tested using a spatial hole-board discrimination test including a learning phase and two memory phases. Five minipigs were tested in a visual discrimination test. The juvenile minipigs were able to learn the spatial hole-board discrimination test and showed improved working and reference memory during the learning phase. Performance in the memory phases was affected by the retention intervals, but the minipigs were able to remember the concept of the test in both memory phases. Working memory and reference memory were significantly improved in the last trials of the memory phases. In the visual discrimination test, the minipigs learned to discriminate between the three figures presented to them within 9-14 sessions. For the memory test, all minipigs performed 9/12 correct choices or better. Juvenile Göttingen minipigs are able to learn to perform in a spatial hole-board discrimination test as well as in a visual discrimination test, showing an increase in performance over time. Both tests have considerable scope to assess learning and memory of pigs, and we seem to have succeeded in establishing two test systems suitable for performing preclinical toxicity testing in juvenile minipigs.

  9. The free energy method and the Wright-Fisher model with 2 alleles.

    PubMed

    Tran, Tat Dat; Hofrichter, Julian; Jost, Jürgen

    2015-12-01

    We systematically investigate the Wright-Fisher model of population genetics with the free energy functional formalism of statistical mechanics and in the light of recent mathematical work on the connection between Fokker-Planck equations and free energy functionals. In statistical physics, entropy increases, or equivalently, free energy decreases, and the asymptotic state is given by a Gibbs-type distribution. This also works for the Wright-Fisher model when rewritten in divergence to identify the correct free energy functional. We not only recover the known results about the stationary distribution, that is, the asymptotic equilibrium state of the model, in the presence of positive mutation rates and possibly also selection, but can also provide detailed formulae for the rate of convergence towards that stationary distribution. In the present paper, the method is illustrated for the simplest case only, that of two alleles.

  10. A robust statistical method to detect null alleles in microsatellite and SNP datasets in both panmictic and inbred populations.

    PubMed

    Girard, Philippe

    2011-01-01

    Null alleles are common technical artifacts in genetic-based analysis. Powerful methods enabling their detection in either panmictic or inbred populations have been proposed. However, none of these methods appears unbiased in both types of mating systems, necessitating a priori knowledge of the inbreeding level of the population under study. To counter this problem, I propose to use the software FDist2 to detect the atypical fixation indices that characterize markers with null alleles. The rational behind this approach and the parameter settings are explained. The power of the method for various sample sizes, degrees of inbreeding and null allele frequencies is evaluated using simulated microsatellite and SNP datasets and then compared to two other null allele detection methods. The results clearly show the robustness of the method proposed here as well as its greater accuracy in both panmictic and inbred populations for both types of marker. By allowing a proper detection of null alleles for a wide range of mating systems and markers, this new method is particularly appealing for numerous genetic studies using co-dominant loci. PMID:21381434

  11. Deleterious alleles in the human genome are on average younger than neutral alleles of the same frequency.

    PubMed

    Kiezun, Adam; Pulit, Sara L; Francioli, Laurent C; van Dijk, Freerk; Swertz, Morris; Boomsma, Dorret I; van Duijn, Cornelia M; Slagboom, P Eline; van Ommen, G J B; Wijmenga, Cisca; de Bakker, Paul I W; Sunyaev, Shamil R

    2013-01-01

    Large-scale population sequencing studies provide a complete picture of human genetic variation within the studied populations. A key challenge is to identify, among the myriad alleles, those variants that have an effect on molecular function, phenotypes, and reproductive fitness. Most non-neutral variation consists of deleterious alleles segregating at low population frequency due to incessant mutation. To date, studies characterizing selection against deleterious alleles have been based on allele frequency (testing for a relative excess of rare alleles) or ratio of polymorphism to divergence (testing for a relative increase in the number of polymorphic alleles). Here, starting from Maruyama's theoretical prediction (Maruyama T (1974), Am J Hum Genet USA 6:669-673) that a (slightly) deleterious allele is, on average, younger than a neutral allele segregating at the same frequency, we devised an approach to characterize selection based on allelic age. Unlike existing methods, it compares sets of neutral and deleterious sequence variants at the same allele frequency. When applied to human sequence data from the Genome of the Netherlands Project, our approach distinguishes low-frequency coding non-synonymous variants from synonymous and non-coding variants at the same allele frequency and discriminates between sets of variants independently predicted to be benign or damaging for protein structure and function. The results confirm the abundance of slightly deleterious coding variation in humans.

  12. Method and apparatus for sub-hysteresis discrimination

    SciTech Connect

    De Geronimo, Gianluigi

    2015-12-29

    Embodiments of comparator circuits are disclosed. A comparator circuit may include a differential input circuit, an output circuit, a positive feedback circuit operably coupled between the differential input circuit and the output circuit, and a hysteresis control circuit operably coupled with the positive feedback circuit. The hysteresis control circuit includes a switching device and a transistor. The comparator circuit provides sub-hysteresis discrimination and high speed discrimination.

  13. Closing the gap: discrimination of the expression profile of HLA questionable alleles by a cytokine-induced secretion approach using HLA-A*32:11Q.

    PubMed

    Föll, D; Hinrichs, J; Tischer, S; Battermann, A; Schambach, A; Figueiredo, C; Immenschuh, S; Blasczyk, R; Eiz-Vesper, B

    2012-05-01

    Matching of human leukocyte antigen (HLA) alleles between donors and recipients plays a major role in hematopoietic stem cell transplantation (HSCT). Null or questionably expressed HLA allelic variants are a major issue in HLA matching, because the aberrant expression of such alleles can have a major impact on the outcome of HSCT and/or its complications such as graft-versus-host disease. The goal of this study was to investigate the potential of a recently developed cytokine-induced secretion assay to differentiate the expression levels of HLA-A*32:11Q (questionable) into a null (N) or low (L) expression variant. An amino acid mutation at position 164 of HLA-A*32:11Q disrupts the disulfide bridge in the α2 domain. HLA-A*32:11Q is not detectable by standard microlymphocytotoxicity assay. To this end, we cloned soluble HLA-A*32:11Q and a reference allele (HLA-A*32:01) into expression vectors and transfected/transduced HEK293 and K562 cells. Allele-expressing K562 cells were simultaneously transfected/transduced with a β2-microglobulin (B2M)-encoding vector to ensure the intact HLA structure with B2M. After treatment with proinflammatory cytokines, secreted soluble HLA molecules were determined by enzyme-linked immunosorbent assay in the supernatant and intracellular accumulation of the recombinant proteins by flow cytometry. HLA-A*32:11Q was nearly undetectable in untreated transfectants. Cytokine treatment increased the secretion of HLA-A*32:11Q to detectable levels and resulted in intracellular accumulation of the allele. There was no difference in mRNA transcription between the A*32 alleles. On the basis of these results, we recommend reclassification of HLA-A*32:11Q as a low expression (L) variant.

  14. Methods for the scientific study of discrimination and health: an ecosocial approach.

    PubMed

    Krieger, Nancy

    2012-05-01

    The scientific study of how discrimination harms health requires theoretically grounded methods. At issue is how discrimination, as one form of societal injustice, becomes embodied inequality and is manifested as health inequities. As clarified by ecosocial theory, methods must address the lived realities of discrimination as an exploitative and oppressive societal phenomenon operating at multiple levels and involving myriad pathways across both the life course and historical generations. An integrated embodied research approach hence must consider (1) the structural level-past and present de jure and de facto discrimination; (2) the individual level-issues of domains, nativity, and use of both explicit and implicit discrimination measures; and (3) how current research methods likely underestimate the impact of racism on health.

  15. Automated fine structure image analysis method for discrimination of diabetic retinopathy stage using conjunctival microvasculature images

    PubMed Central

    Khansari, Maziyar M; O’Neill, William; Penn, Richard; Chau, Felix; Blair, Norman P; Shahidi, Mahnaz

    2016-01-01

    The conjunctiva is a densely vascularized mucus membrane covering the sclera of the eye with a unique advantage of accessibility for direct visualization and non-invasive imaging. The purpose of this study is to apply an automated quantitative method for discrimination of different stages of diabetic retinopathy (DR) using conjunctival microvasculature images. Fine structural analysis of conjunctival microvasculature images was performed by ordinary least square regression and Fisher linear discriminant analysis. Conjunctival images between groups of non-diabetic and diabetic subjects at different stages of DR were discriminated. The automated method’s discriminate rates were higher than those determined by human observers. The method allowed sensitive and rapid discrimination by assessment of conjunctival microvasculature images and can be potentially useful for DR screening and monitoring. PMID:27446692

  16. Embodying inequality: a review of concepts, measures, and methods for studying health consequences of discrimination.

    PubMed

    Krieger, N

    1999-01-01

    Investigating effects of discrimination upon health requires clear concepts, methods, and measures. At issue are both economic consequences of discrimination and accumulated insults arising from everyday and at times violent experiences of being treated as a second-class citizen, at each and every economic level. Guidelines for epidemiologic investigations and other public health research on ways people embody racism, sexism, and other forms of social inequality, however, are not well defined, as research in this area is in its infancy. Employing an ecosocial framework, this article accordingly reviews definitions and patterns of discrimination within the United States; evaluates analytic strategies and instruments researchers have developed to study health effects of different kinds of discrimination; and delineates diverse pathways by which discrimination can harm health, both outright and by distorting production of epidemiologic knowledge about determinants of population health. Three methods of studying health consequences of discrimination are examined (indirect; direct, at the individual level, in relation to personal experiences of discrimination; at the population level, such as via segregation), and recommendations are provided for developing research instruments to measure acute and cumulative exposure to different aspects of discrimination.

  17. Allele capture by selection for flanking markers: A new method for analyzing multigenic traits

    SciTech Connect

    Harrison, D.E.; Roderick, T.H.; Paigen, K.

    1995-12-31

    in complex living organisms like mammals, most important processes are controlled by sets of interacting genes organized in biological pathways. A vital area of research during the coming decades will be to identify the genes that regulate such pathways and to analyze their functions. We here outline a new procedure to accomplish this: allele capture using flanking markers. Here illustrated for mice, it should be useful for all organisms in which adequate numbers of marker genes are available. This procedure combines mankind`s oldest and best proven logical technique, selective breeding, with the modern technologies of molecular markers, linkage analyses and computer programs. 7 refs.

  18. [Cross-correlation as a method for discriminating impulses on multineuronal recordings].

    PubMed

    Bogdanov, A V; Galashina, A G

    1989-01-01

    Impulses series, singled out from multineuronal activity by means of amplitude discriminator, were analyzed by creating crosscorrelation histograms. The authors consider that in studying of net brain activity with crosscorrelation method of analysis "window" discrimination of impulses series in multineuronal record is a quite correct method and may be used along with discrimination of spikes by form. It is shown that the size of the "window", used for singling out of separate impulses series, is not a determining parameter in search of temporal dependence in the activity of the investigated cells, as final discrimination of the impulses of dependently acting neuronal pairs occurs at the level of the crosscorrelation method itself. The step of the analysis under the use of crosscorrelation method is of decisive significance for revealing of direct interconnections between neurones in the cases when these connections are masked on histograms with wide peaks reflecting the influences of common sources, on the recorded cells.

  19. Molecular requirements for MHC class II alpha-chain engagement and allelic discrimination by the bacterial superantigen streptococcal pyrogenic exotoxin C.

    PubMed

    Kasper, Katherine J; Xi, Wang; Rahman, A K M Nur-Ur; Nooh, Mohammed M; Kotb, Malak; Sundberg, Eric J; Madrenas, Joaquín; McCormick, John K

    2008-09-01

    Superantigens (SAgs) are microbial toxins that bind to both TCR beta-chain variable domains (Vbetas) and MHC class II molecules, resulting in the activation of T cells in a Vbeta-specific manner. It is now well established that different isoforms of MHC II molecules can play a significant role in the immune response to bacterial SAgs. In this work, using directed mutational studies in conjunction with functional analyses, we provide a complete functional map of the low-affinity MHC II alpha-chain binding interface of the SAg streptococcal pyrogenic exotoxin C (SpeC) and identify a functional epitope in the beta-barrel domain that is required for the activation of T cells. Using cell lines that exclusively express individual MHC II isoforms, our studies provide a molecular basis for the selectivity of SpeC-MHC II recognition, and provide one mechanism by how SAgs are capable of distinguishing between different MHC II alleles.

  20. Use of molecular beacons and multi-allelic real-time PCR for detection of and discrimination between virulent Bacillus anthracis and other Bacillus isolates.

    PubMed

    Hadjinicolaou, Andreas V; Demetriou, Victoria L; Hezka, Johana; Beyer, Wolfgang; Hadfield, Ted L; Kostrikis, Leondios G

    2009-07-01

    The awareness of the threat of Bacillus anthracis, the causative agent of the disease anthrax, as a biowarfare and bioterrorism weapon has revived the development of new technologies for rapid and accurate detection of virulent isolates in environmental and clinical samples. Here we explore the utility of molecular beacon real-time PCR technology for detection of virulent Bacillus anthracis strains. Molecular beacons are nucleic acid probes with high specificity, that act as switches by emitting fluorescence when bound to their nucleotide sequence targets by means of altering their conformation. In this study, five molecular beacons targeting Bacillus anthracis capA, capB, capC, lef, and pag alleles were designed and used in five uniplex assays. Another molecular beacon targeting the Bacillus group chromosomal 16s rRNA allele was designed for use in a duplex assay with an internal PCR amplification control. The molecular beacons were used in a real-time PCR assay for the detection of and differentiation between virulent B. anthracis and other members of the B. cereus group at the molecular level. Various B. anthracis samples as well as other bacterial and human samples were used to demonstrate the sensitivity and specificity of this assay. Use of the molecular beacon real-time PCR technology should accelerate current efforts to swiftly detect B. anthracis strains and its virulence plasmids in clinical and environmental samples and may extend to the development of additional molecular beacon-based assays for the identification of other pathogenic agents or the identification of B. anthracis directly from clinical samples. PMID:19379778

  1. Use of molecular beacons and multi-allelic real-time PCR for detection of and discrimination between virulent Bacillus anthracis and other Bacillus isolates.

    PubMed

    Hadjinicolaou, Andreas V; Demetriou, Victoria L; Hezka, Johana; Beyer, Wolfgang; Hadfield, Ted L; Kostrikis, Leondios G

    2009-07-01

    The awareness of the threat of Bacillus anthracis, the causative agent of the disease anthrax, as a biowarfare and bioterrorism weapon has revived the development of new technologies for rapid and accurate detection of virulent isolates in environmental and clinical samples. Here we explore the utility of molecular beacon real-time PCR technology for detection of virulent Bacillus anthracis strains. Molecular beacons are nucleic acid probes with high specificity, that act as switches by emitting fluorescence when bound to their nucleotide sequence targets by means of altering their conformation. In this study, five molecular beacons targeting Bacillus anthracis capA, capB, capC, lef, and pag alleles were designed and used in five uniplex assays. Another molecular beacon targeting the Bacillus group chromosomal 16s rRNA allele was designed for use in a duplex assay with an internal PCR amplification control. The molecular beacons were used in a real-time PCR assay for the detection of and differentiation between virulent B. anthracis and other members of the B. cereus group at the molecular level. Various B. anthracis samples as well as other bacterial and human samples were used to demonstrate the sensitivity and specificity of this assay. Use of the molecular beacon real-time PCR technology should accelerate current efforts to swiftly detect B. anthracis strains and its virulence plasmids in clinical and environmental samples and may extend to the development of additional molecular beacon-based assays for the identification of other pathogenic agents or the identification of B. anthracis directly from clinical samples.

  2. Analytical Methods for Discriminating Stardust in Aerogel Capture Media

    SciTech Connect

    Brennan, S; Ishii, H A; Bradley, J P; Luening, K; Ignatyev, K; Pianetta, P

    2007-09-04

    Comet 81P/Wild 2's serendipitous orbit change to the inner solar system in 1974 offered researchers a rare opportunity to sample cometary material from the Kuiper belt, a repository of material left over from solar system formation {approx}4.6 Gyr ago. NASA's Stardust mission intercepted the comet in January 2004 and returned with material collected from its tail in January 2006. The cometary material, consisting of particles ranging from 10 microns down to <2 nm, was collected in aerogel, a very low density ({approx}3 mg/cm cm3) silica foam, to minimize the effects of deceleration from 6.1 km/s. The entire deceleration track is extracted from the aerogel block as a pyramidal shape known as a keystone which can be mapped using x-ray fluorescence prior to extraction of terminal or intermediate particles for other analyses. One goal of the track mapping is to determine the bulk composition of the cometary material returned. Unfortunately, although the aerogel is predominantly SiO{sub 2}, there are sufficient quantities of trace elements similar to those expected in the cometary material to require sophisticated discrimination techniques in order to decide whether a fluorescence map pixel contains only aerogel or both aerogel and cometary material. We have developed a dual threshold analysis approach for better distinguishing cometary material from aerogel contaminants and have applied it to five Stardust impact tracks and terminal particles. Here, we present aspects of the dual threshold approach and demonstrate its impact on track composition for one track.

  3. Comparison of discriminant analysis methods: Application to occupational exposure to particulate matter

    NASA Astrophysics Data System (ADS)

    Ramos, M. Rosário; Carolino, E.; Viegas, Carla; Viegas, Sandra

    2016-06-01

    Health effects associated with occupational exposure to particulate matter have been studied by several authors. In this study were selected six industries of five different areas: Cork company 1, Cork company 2, poultry, slaughterhouse for cattle, riding arena and production of animal feed. The measurements tool was a portable device for direct reading. This tool provides information on the particle number concentration for six different diameters, namely 0.3 µm, 0.5 µm, 1 µm, 2.5 µm, 5 µm and 10 µm. The focus on these features is because they might be more closely related with adverse health effects. The aim is to identify the particles that better discriminate the industries, with the ultimate goal of classifying industries regarding potential negative effects on workers' health. Several methods of discriminant analysis were applied to data of occupational exposure to particulate matter and compared with respect to classification accuracy. The selected methods were linear discriminant analyses (LDA); linear quadratic discriminant analysis (QDA), robust linear discriminant analysis with selected estimators (MLE (Maximum Likelihood Estimators), MVE (Minimum Volume Elipsoid), "t", MCD (Minimum Covariance Determinant), MCD-A, MCD-B), multinomial logistic regression and artificial neural networks (ANN). The predictive accuracy of the methods was accessed through a simulation study. ANN yielded the highest rate of classification accuracy in the data set under study. Results indicate that the particle number concentration of diameter size 0.5 µm is the parameter that better discriminates industries.

  4. Mathematical method for optimal digitization and discrimination of scintillation detectors' pulses

    NASA Astrophysics Data System (ADS)

    Saleh, H. I.

    2015-12-01

    The crystal identification and particle identification require applying pulse shape discrimination (PSD) methods to differentiate between two or more types of scintillation pulses according to their decay times. The sampling rate and the number of used samples of scintillation pulses significantly affect the performance and the complexity of the PSD. Despite their importance, there is no method in the literature, to the best of our knowledge, regarding how to optimally select these parameters. This paper introduces a mathematical analysis of the frequency spectra to determine the most discriminated frequency band of any two different pulse-types. The proposed analysis showed that the most discriminated frequency band depends on the two decay times of the pulse-types. Based on this analysis, a digitization criterion is proposed to determine the optimum sampling rate, number of used samples and the cutoff frequency of the anti-aliasing filter. Furthermore, determining the most discriminated frequency band reduces the number of needed frequency components and provides the highest discrimination performance with the lowest number of required computations. The proposed digitization criterion is applied on two pulse-types with different decay times (20 ns and 40 ns) and shows that the most discriminated frequency is 8 MHz . It also recommends using 32 MHz sampling rate, 8 samples and an anti-aliasing filter with 10 MHz cutoff frequency for these two pulse-types.

  5. Mathematical Formulation of Multivariate Euclidean Models for Discrimination Methods.

    ERIC Educational Resources Information Center

    Mullen, Kenneth; Ennis, Daniel M.

    1987-01-01

    Multivariate models for the triangular and duo-trio methods are described, and theoretical methods are compared to a Monte Carlo simulation. Implications are discussed for a new theory of multidimensional scaling which challenges the traditional assumption that proximity measures and perceptual distances are monotonically related. (Author/GDC)

  6. Discriminative power of Campylobacter phenotypic and genotypic typing methods.

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The aim of this study was to compare typing methods, individually and combined, to use in the routine surveillance of Campylobacter in broiler carcasses. C. jejuni (n=94) and C. coli (n=52) isolated from different broiler carcasses were characterized using different typing methods: multilocus sequen...

  7. Target discrimination method for passive bistatic radar using narrowband and low-frequency illuminator

    NASA Astrophysics Data System (ADS)

    Lin, Caiyong; Wang, Dinghe; Tian, Ruiqi; Bao, Qinglong; Chen, Zengping

    2015-01-01

    As most illuminators of opportunity are relatively narrowband and of low-frequency, passive bistatic radar (PBR) is so weak in target discrimination that it can hardly distinguish adjacent aircraft or ships. To solve this problem, we propose a matched filter-based method. This method uses the bistatic range of the target to construct the corresponding filter groups and then produces a two-dimensional image by correlating the echo signals. We finally convert the target discrimination problem to distinguish the peaks in the image. The proposed method overcomes the target discrimination problem for PBR using the narrowband and low-frequency illuminator. Simulation results indicate the effectiveness and validity of the proposed method in distinguishing adjacent targets.

  8. Discrimination of Rice with Different Pretreatment Methods by Using a Voltammetric Electronic Tongue

    PubMed Central

    Wang, Li; Niu, Qunfeng; Hui, Yanbo; Jin, Huali

    2015-01-01

    In this study, an application of a voltammetric electronic tongue for discrimination and prediction of different varieties of rice was investigated. Different pretreatment methods were selected, which were subsequently used for the discrimination of different varieties of rice and prediction of unknown rice samples. To this aim, a voltammetric array of sensors based on metallic electrodes was used as the sensing part. The different samples were analyzed by cyclic voltammetry with two sample-pretreatment methods. Discriminant Factorial Analysis was used to visualize the different categories of rice samples; however, radial basis function (RBF) artificial neural network with leave-one-out cross-validation method was employed for prediction modeling. The collected signal data were first compressed employing fast Fourier transform (FFT) and then significant features were extracted from the voltammetric signals. The experimental results indicated that the sample solutions obtained by the non-crushed pretreatment method could efficiently meet the effect of discrimination and recognition. The satisfactory prediction results of voltammetric electronic tongue based on RBF artificial neural network were obtained with less than five-fold dilution of the sample solution. The main objective of this study was to develop primary research on the application of an electronic tongue system for the discrimination and prediction of solid foods and provide an objective assessment tool for the food industry. PMID:26205274

  9. Discrimination of Rice with Different Pretreatment Methods by Using a Voltammetric Electronic Tongue.

    PubMed

    Wang, Li; Niu, Qunfeng; Hui, Yanbo; Jin, Huali

    2015-07-22

    In this study, an application of a voltammetric electronic tongue for discrimination and prediction of different varieties of rice was investigated. Different pretreatment methods were selected, which were subsequently used for the discrimination of different varieties of rice and prediction of unknown rice samples. To this aim, a voltammetric array of sensors based on metallic electrodes was used as the sensing part. The different samples were analyzed by cyclic voltammetry with two sample-pretreatment methods. Discriminant Factorial Analysis was used to visualize the different categories of rice samples; however, radial basis function (RBF) artificial neural network with leave-one-out cross-validation method was employed for prediction modeling. The collected signal data were first compressed employing fast Fourier transform (FFT) and then significant features were extracted from the voltammetric signals. The experimental results indicated that the sample solutions obtained by the non-crushed pretreatment method could efficiently meet the effect of discrimination and recognition. The satisfactory prediction results of voltammetric electronic tongue based on RBF artificial neural network were obtained with less than five-fold dilution of the sample solution. The main objective of this study was to develop primary research on the application of an electronic tongue system for the discrimination and prediction of solid foods and provide an objective assessment tool for the food industry.

  10. Identification of discriminant proteins through antibody profiling, methods and apparatus for identifying an individual

    DOEpatents

    Thompson, Vicki S; Lacey, Jeffrey A; Gentillon, Cynthia A; Apel, William A

    2015-03-03

    A method for determining a plurality of proteins for discriminating and positively identifying an individual based from a biological sample. The method may include profiling a biological sample from a plurality of individuals against a protein array including a plurality of proteins. The protein array may include proteins attached to a support in a preselected pattern such that locations of the proteins are known. The biological sample may be contacted with the protein array such that a portion of antibodies in the biological sample reacts with and binds to the proteins forming immune complexes. A statistical analysis method, such as discriminant analysis, may be performed to determine discriminating proteins for distinguishing individuals. Proteins of interest may be used to form a protein array. Such a protein array may be used, for example, to compare a forensic sample from an unknown source with a sample from a known source.

  11. Identification of discriminant proteins through antibody profiling, methods and apparatus for identifying an individual

    DOEpatents

    Apel, William A.; Thompson, Vicki S; Lacey, Jeffrey A.; Gentillon, Cynthia A.

    2016-08-09

    A method for determining a plurality of proteins for discriminating and positively identifying an individual based from a biological sample. The method may include profiling a biological sample from a plurality of individuals against a protein array including a plurality of proteins. The protein array may include proteins attached to a support in a preselected pattern such that locations of the proteins are known. The biological sample may be contacted with the protein array such that a portion of antibodies in the biological sample reacts with and binds to the proteins forming immune complexes. A statistical analysis method, such as discriminant analysis, may be performed to determine discriminating proteins for distinguishing individuals. Proteins of interest may be used to form a protein array. Such a protein array may be used, for example, to compare a forensic sample from an unknown source with a sample from a known source.

  12. MSE/SSE discrimination methods of the PC-HPGe detector

    NASA Astrophysics Data System (ADS)

    Lu, Zi-Feng; Li, Yu-Lan; Li, Jin; Yue, Qian; Li, Yuan-Jing

    2012-09-01

    Having advantages of low capacitance and low energy threshold, the PC-HPGe (Point-Contact High Purity Germanium) detector has found its application in the direct detection of WIMP(Weak Interaction Massive Particle) in CDEX (China Darkmatter Experiment). The MSE (Multi-Site Event) and SSE(Single-Site Event) discrimination methods of the PC-HPGe detector are introduced in this article, including their physical basis, the electronics system and the algorithms to implement them. Behaviors of the PC-HPGe detector are studied intensively through this research and finally the experimental results of the LE discrimination method are presented.

  13. The allele-specific probe and primer amplification assay, a new real-time PCR method for fine quantification of single-nucleotide polymorphisms in pooled DNA.

    PubMed

    Billard, A; Laval, V; Fillinger, S; Leroux, P; Lachaise, H; Beffa, R; Debieu, D

    2012-02-01

    The evolution of fungicide resistance within populations of plant pathogens must be monitored to develop management strategies. Such monitoring often is based on microbiological tests, such as microtiter plate assays. Molecular monitoring methods can be considered if the mutations responsible for resistance have been identified. Allele-specific real-time PCR approaches, such as amplification refractory mutation system (ARMS) PCR and mismatch amplification mutation assay (MAMA) PCR, are, despite their moderate efficacy, among the most precise methods for refining SNP quantification. We describe here a new real-time PCR method, the allele-specific probe and primer amplification assay (ASPPAA PCR). This method makes use of mixtures of allele-specific minor groove binder (MGB) TaqMan probes and allele-specific primers for the fine quantification of SNPs from a pool of DNA extracted from a mixture of conidia. It was developed for a single-nucleotide polymorphism (SNP) that is responsible for resistance to the sterol biosynthesis inhibitor fungicide fenhexamid, resulting in the replacement of the phenylalanine residue (encoded by the TTC codon) in position 412 of the enzymatic target (3-ketoreductase) by a serine (TCC), valine (GTC), or isoleucine (ATC) residue. The levels of nonspecific amplification with the ASPPAA PCR were reduced at least four times below the level of currently available allele-specific real-time PCR approaches due to strong allele specificity in amplification cycles, including two allele selectors. This new method can be used to quantify a complex quadriallelic SNP in a DNA pool with a false discovery rate of less than 1%.

  14. A new method for fingerprinting sediments source contributions using distances from discriminant function analysis

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Mixing models have been used to predict sediment source contributions. The inherent problem of the mixing models limited the number of sediment sources. The objective of this study is to develop and evaluate a new method using Discriminant Function Analysis (DFA) to fingerprint sediment source contr...

  15. Machine vision methods for use in grain variety discrimination and quality analysis

    NASA Astrophysics Data System (ADS)

    Winter, Philip W.; Sokhansanj, Shahab; Wood, Hugh C.

    1996-12-01

    Decreasing cost of computer technology has made it feasible to incorporate machine vision technology into the agriculture industry. The biggest attraction to using a machine vision system is the computer's ability to be completely consistent and objective. One use is in the variety discrimination and quality inspection of grains. Algorithms have been developed using Fourier descriptors and neural networks for use in variety discrimination of barley seeds. RGB and morphology features have been used in the quality analysis of lentils, and probability distribution functions and L,a,b color values for borage dockage testing. These methods have been shown to be very accurate and have a high potential for agriculture. This paper presents the techniques used and results obtained from projects including: a lentil quality discriminator, a barley variety classifier, a borage dockage tester, a popcorn quality analyzer, and a pistachio nut grading system.

  16. Allele-specific enzymatic amplification of. beta. -globin genomic DNA for diagnosis of sickle cell anemia

    SciTech Connect

    Wu, D.Y.; Ugozzoli, L.; Pal, B.K.; Wallace, B. )

    1989-04-01

    A rapid nonradioactive approach to the diagnosis of sickle cell anemia is described based on an allele-specific polymerase chain reaction (ASPCR). This method allows direct detection of the normal or the sickle cell {beta}-globin allele in genomic DNA without additional steps of probe hybridization, ligation, or restriction enzyme cleavage. Two allele-specific oligonucleotide primers, one specific for the sickle cell allele and one specific for the normal allele, together with another primer complementary to both alleles were used in the polymerase chain reaction with genomic DNA templates. The allele-specific primers differed from each other in their terminal 3{prime} nucleotide. Under the proper annealing temperature and polymerase chain reaction conditions, these primers only directed amplification on their complementary allele. In a single blind study of DNA samples from 12 individuals, this method correctly and unambiguously allowed for the determination of the genotypes with no false negatives or positives. If ASPCR is able to discriminate all allelic variation (both transition and transversion mutations), this method has the potential to be a powerful approach for genetic disease diagnosis, carrier screening, HLA typing, human gene mapping, forensics, and paternity testing.

  17. GBStools: A Statistical Method for Estimating Allelic Dropout in Reduced Representation Sequencing Data

    PubMed Central

    Cooke, Thomas F.; Yee, Muh-Ching; Muzzio, Marina; Sockell, Alexandra; Bell, Ryan; Cornejo, Omar E.; Kelley, Joanna L.; Bailliet, Graciela; Bravi, Claudio M.; Bustamante, Carlos D.; Kenny, Eimear E.

    2016-01-01

    Reduced representation sequencing methods such as genotyping-by-sequencing (GBS) enable low-cost measurement of genetic variation without the need for a reference genome assembly. These methods are widely used in genetic mapping and population genetics studies, especially with non-model organisms. Variant calling error rates, however, are higher in GBS than in standard sequencing, in particular due to restriction site polymorphisms, and few computational tools exist that specifically model and correct these errors. We developed a statistical method to remove errors caused by restriction site polymorphisms, implemented in the software package GBStools. We evaluated it in several simulated data sets, varying in number of samples, mean coverage and population mutation rate, and in two empirical human data sets (N = 8 and N = 63 samples). In our simulations, GBStools improved genotype accuracy more than commonly used filters such as Hardy-Weinberg equilibrium p-values. GBStools is most effective at removing genotype errors in data sets over 100 samples when coverage is 40X or higher, and the improvement is most pronounced in species with high genomic diversity. We also demonstrate the utility of GBS and GBStools for human population genetic inference in Argentine populations and reveal widely varying individual ancestry proportions and an excess of singletons, consistent with recent population growth. PMID:26828719

  18. GBStools: A Statistical Method for Estimating Allelic Dropout in Reduced Representation Sequencing Data.

    PubMed

    Cooke, Thomas F; Yee, Muh-Ching; Muzzio, Marina; Sockell, Alexandra; Bell, Ryan; Cornejo, Omar E; Kelley, Joanna L; Bailliet, Graciela; Bravi, Claudio M; Bustamante, Carlos D; Kenny, Eimear E

    2016-02-01

    Reduced representation sequencing methods such as genotyping-by-sequencing (GBS) enable low-cost measurement of genetic variation without the need for a reference genome assembly. These methods are widely used in genetic mapping and population genetics studies, especially with non-model organisms. Variant calling error rates, however, are higher in GBS than in standard sequencing, in particular due to restriction site polymorphisms, and few computational tools exist that specifically model and correct these errors. We developed a statistical method to remove errors caused by restriction site polymorphisms, implemented in the software package GBStools. We evaluated it in several simulated data sets, varying in number of samples, mean coverage and population mutation rate, and in two empirical human data sets (N = 8 and N = 63 samples). In our simulations, GBStools improved genotype accuracy more than commonly used filters such as Hardy-Weinberg equilibrium p-values. GBStools is most effective at removing genotype errors in data sets over 100 samples when coverage is 40X or higher, and the improvement is most pronounced in species with high genomic diversity. We also demonstrate the utility of GBS and GBStools for human population genetic inference in Argentine populations and reveal widely varying individual ancestry proportions and an excess of singletons, consistent with recent population growth. PMID:26828719

  19. A new method for studying population genetics of cyst nematodes based on Pool-Seq and genomewide allele frequency analysis.

    PubMed

    Mimee, Benjamin; Duceppe, Marc-Olivier; Véronneau, Pierre-Yves; Lafond-Lapalme, Joël; Jean, Martine; Belzile, François; Bélair, Guy

    2015-11-01

    Cyst nematodes are important agricultural pests responsible for billions of dollars of losses each year. Plant resistance is the most effective management tool, but it requires a close monitoring of population genetics. Current technologies for pathotyping and genotyping cyst nematodes are time-consuming, expensive and imprecise. In this study, we capitalized on the reproduction mode of cyst nematodes to develop a simple population genetic analysis pipeline based on genotyping-by-sequencing and Pool-Seq. This method yielded thousands of SNPs and allowed us to study the relationships between populations of different origins or pathotypes. Validation of the method on well-characterized populations also demonstrated that it was a powerful and accurate tool for population genetics. The genomewide allele frequencies of 23 populations of golden nematode, from nine countries and representing the five known pathotypes, were compared. A clear separation of the pathotypes and fine genetic relationships between and among global populations were obtained using this method. In addition to being powerful, this tool has proven to be very time- and cost-efficient and could be applied to other cyst nematode species.

  20. SNP-Based Quantification of Allele-Specific DNA Methylation Patterns by Pyrosequencing®.

    PubMed

    Busato, Florence; Tost, Jörg

    2015-01-01

    The analysis of allele-specific DNA methylation patterns has recently attracted much interest as loci of allele-specific DNA methylation overlap with known risk loci for complex diseases and the analysis might contribute to the fine-mapping and interpretation of non-coding genetic variants associated with complex diseases and improve the understanding between genotype and phenotype. In the presented protocol, we present a method for the analysis of DNA methylation patterns on both alleles separately using heterozygous Single Nucleotide Polymorphisms (SNPs) as anchor for allele-specific PCR amplification followed by analysis of the allele-specific DNA methylation patterns by Pyrosequencing(®). Pyrosequencing is an easy-to-handle, quantitative real-time sequencing method that is frequently used for genotyping as well as for the analysis of DNA methylation patterns. The protocol consists of three major steps: (1) identification of individuals heterozygous for a SNP in a region of interest using Pyrosequencing; (2) analysis of the DNA methylation patterns surrounding the SNP on bisulfite-treated DNA to identify regions of potential allele-specific DNA methylation; and (3) the analysis of the DNA methylation patterns associated with each of the two alleles, which are individually amplified using allele-specific PCR. The enrichment of the targeted allele is re-enforced by modification of the allele-specific primers at the allele-discriminating base with Locked Nucleic Acids (LNA). For the proof-of-principle of the developed approach, we provide assay details for three imprinted genes (IGF2, IGF2R, and PEG3) within this chapter. The mean of the DNA methylation patterns derived from the individual alleles corresponds well to the overall DNA methylation patterns and the developed approach proved more reliable compared to other protocols for allele-specific DNA methylation analysis.

  1. A Method Of Evaluating A Subsurface Region Using Gather Sensitive Data Discrimination

    DOEpatents

    Lazaratos, Spyridon K.

    2000-01-11

    A method of evaluating a subsurface region by separating/enhancing a certain type of seismic event data of interest from an overall set of seismic event data which includes other, different types of seismic event data is disclosed herein. In accordance with one feature, a particular type of gather is generated from the seismic event data such that the gather includes at least a portion of the data which is of interest and at least a portion of the other data. A series of data discrimination lines are incorporated into the gather at positions and directions which are established in the gather in a predetermined way. Using the data discrimination lines, the data of interest which is present in the gather is separated/enhanced with respect to the other data within the gather. The separated data may be used for example in producing a map of the particular subterranean region. In accordance with another feature, the gather is selected such that the incorporated discrimination lines approach a near parallel relationship with one another. Thereby, the data is transformed in a way which causes the discrimination lines to be parallel with one another, resulting in reduced frequency distortion accompanied by improved accuracy in the separation/enhancement of data. In accordance with still another feature, the disclosed data separation/enhancement method is compatible with an iterative approach.

  2. [Near infrared spectroscopy analysis method of maize hybrid seed purity discrimination].

    PubMed

    Huang, Hua-Jun; Yan, Yan-Lu; Shen, Bing-Hui; Liu, Zhe; Gu, Jian-Cheng; Li, Shao-Ming; Zhu, De-Hai; Zhang, Xiao-Dong; Ma, Qin; Li, Lin; An, Dong

    2014-05-01

    Near infrared spectroscopy analysis method of discrimination of maize hybrid seed purity was studied with the sample of Nong Hua 101 (NH101) from different origins and years. Spectral acquisition time lasted for 10 months. Using Fourier transform (FT) near infrared spectroscopy instruments, including 23 days in different seasons (divided into five time periods), a total of 920 near infrared diffuse reflectance spectra of single corn grain of those samples were collected. Moving window average, first derivative and vector normalization were used to pretreat all original spectra, principal component analysis (PCA) and linear discriminant analysis (LDA) were applied to reduce data dimensionality, and the discrimination model was established based on biomimetic pattern recognition (BPR) method. Spectral distortion was calibrated by spectra pretreatment, which makes characteristics spatial distribution range of sample spectra set contract. The relative distance between hybrid and female parent increased by nearly 70-fold, and the discrimination model achieved the identification of hybrid and female parent seeds. Through the choice of representative samples, the model's response capacity to the changes in spectral acquisition time, place and environment, etc. was improved. Besides, the model's response capacity to the changes in time and site of seed production was also improved, and the robustness of the model was enhanced. The average correct acceptance rate (CAR) of the test set reached more than 95% while the average correct rejection rate (CRR) of the test set also reached 85%. PMID:25095417

  3. Simultaneous Velocity Discrimination Method of Two-Phase Flows Using Time Resolved Stereo PIV and PTV

    NASA Astrophysics Data System (ADS)

    Vanderwerker, P. B.; Chen, Y.; Torregrosa, M. M.; Diez, F. J.; Photos, S.; Troolin, D.

    2007-03-01

    Multiphase jets laden with particles appear in many engineering and environmental processes. Typical examples are sprays containing liquid fuel drops in combustion processes, air jets laden with coal particles in a power plant, and the dispersion of harmful substances like soot and pollutants from steady exhaust flows, among others. Studies of particle-laden turbulent flows suggest that particle distribution is not uniform but preferential. In order to understand the mechanism of particle dispersion, time resolved simultaneous 3D velocity measurements of the disperse phase and of the fluid flow were made. Two-phase discrimination algorithms were developed based upon the filtering methodology proposed by Khalitov & Longmire (2002), allowing for complete separation of the two-phases in stereo PIV images. The different filtering methods studied include separation of the two-phases using: (1) particle size discrimination, (2) particle intensity discrimination, (3) particle size and intensity discrimination, and (4) fluorescent particles for one of the two-phases. This methodology also enables time-resolved instantaneous 3D velocity fields using PTV and PIV on the disperse phase and fluid flow phase respectively. These allow visualization of 3D turbulent coherent structure evolution in the fluid as well as the evolution of the dispersed phase.

  4. A new method for discriminating the Moon interference based on CES software

    NASA Astrophysics Data System (ADS)

    Tu, Zhijun; Mei, Zhiwu; Yuan, Jun; Deng, Loulou

    2013-10-01

    When the moon and the sun light enter into the field of view of the conical scanning earth sensor (CES), the real attitude of the spacecraft will be affected because of wrong CES measurements. To solve this problem, a new method based on the CES software can discriminate the interference effect. A series of ground are designed to verify this method effectiveness, and results indicate that this method can not only give a indication of the moon, but also can eliminate effect of the moon and the sun light on the CES's measurements. Finally, the on-orbit flight data is presented to confirm this method validity.

  5. Geophysical technique for mineral exploration and discrimination based on electromagnetic methods and associated systems

    DOEpatents

    Zhdanov; Michael S.

    2008-01-29

    Mineral exploration needs a reliable method to distinguish between uneconomic mineral deposits and economic mineralization. A method and system includes a geophysical technique for subsurface material characterization, mineral exploration and mineral discrimination. The technique introduced in this invention detects induced polarization effects in electromagnetic data and uses remote geophysical observations to determine the parameters of an effective conductivity relaxation model using a composite analytical multi-phase model of the rock formations. The conductivity relaxation model and analytical model can be used to determine parameters related by analytical expressions to the physical characteristics of the microstructure of the rocks and minerals. These parameters are ultimately used for the discrimination of different components in underground formations, and in this way provide an ability to distinguish between uneconomic mineral deposits and zones of economic mineralization using geophysical remote sensing technology.

  6. UV-vis absorption spectroscopy and multivariate analysis as a method to discriminate tequila

    NASA Astrophysics Data System (ADS)

    Barbosa-García, O.; Ramos-Ortíz, G.; Maldonado, J. L.; Pichardo-Molina, J. L.; Meneses-Nava, M. A.; Landgrave, J. E. A.; Cervantes-Martínez, J.

    2007-01-01

    Based on the UV-vis absorption spectra of commercially bottled tequilas, and with the aid of multivariate analysis, it is proved that different brands of white tequila can be identified from such spectra, and that 100% agave and mixed tequilas can be discriminated as well. Our study was done with 60 tequilas, 58 of them purchased at liquor stores in various Mexican cities, and two directly acquired from a distillery. All the tequilas were of the "white" type, that is, no aged spirits were considered. For the purposes of discrimination and quality control of tequilas, the spectroscopic method that we present here offers an attractive alternative to the traditional methods, like gas chromatography, which is expensive and time-consuming.

  7. Early discriminant method of infected kernel based on the erosion effects of laser ultrasonics

    NASA Astrophysics Data System (ADS)

    Fan, Chao

    2015-07-01

    To discriminate the infected kernel of the wheat as early as possible, a new kind of detection method of hidden insects, especially in their egg and larvae stage, was put forward based on the erosion effect of the laser ultrasonic in this paper. The surface of the grain is exposured by the pulsed laser, the energy of which is absorbed and the ultrasonic is excited, and the infected kernel can be recognized by appropriate signal analyzing. Firstly, the detection principle was given based on the classical wave equation and the platform was established. Then, the detected ultrasonic signal was processed both in the time domain and the frequency domain by using FFT and DCT , and six significant features were selected as the characteristic parameters of the signal by the method of stepwise discriminant analysis. Finally, a BP neural network was designed by using these six parameters as the input to classify the infected kernels from the normal ones. Numerous experiments were performed by using twenty wheat varieties, the results shown that the the infected kernels can be recognized effectively, and the false negative error and the false positive error was 12% and 9% respectively, the discriminant method of the infected kernels based on the erosion effect of laser ultrasonics is feasible.

  8. Method for the discrimination of superficial and deep absorption variations by time domain fNIRS.

    PubMed

    Zucchelli, Lucia; Contini, Davide; Re, Rebecca; Torricelli, Alessandro; Spinelli, Lorenzo

    2013-01-01

    A method for the discrimination of superficial and deep absorption variations by time domain functional near infrared spectroscopy is presented. The method exploits the estimate of the photon time-dependent pathlength in different domains of the sampled medium and makes use of an approach based on time-gating of the photon distribution of time-of-flights. Validation of the method is performed in the two-layer geometry to focus on muscle and head applications. Numerical simulations varied the thickness of the upper layer, the interfiber distance, the shape of the instrument response function and the photon counts. Preliminary results from in vivo data are also shown.

  9. Method for the discrimination of superficial and deep absorption variations by time domain fNIRS

    PubMed Central

    Zucchelli, Lucia; Contini, Davide; Re, Rebecca; Torricelli, Alessandro; Spinelli, Lorenzo

    2013-01-01

    A method for the discrimination of superficial and deep absorption variations by time domain functional near infrared spectroscopy is presented. The method exploits the estimate of the photon time-dependent pathlength in different domains of the sampled medium and makes use of an approach based on time-gating of the photon distribution of time-of-flights. Validation of the method is performed in the two-layer geometry to focus on muscle and head applications. Numerical simulations varied the thickness of the upper layer, the interfiber distance, the shape of the instrument response function and the photon counts. Preliminary results from in vivo data are also shown. PMID:24409389

  10. Robust and discriminating method for face recognition based on correlation technique and independent component analysis model.

    PubMed

    Alfalou, A; Brosseau, C

    2011-03-01

    We demonstrate a novel technique for face recognition. Our approach relies on the performances of a strongly discriminating optical correlation method along with the robustness of the independent component analysis (ICA) model. Simulations were performed to illustrate how this algorithm can identify a face with images from the Pointing Head Pose Image Database. While maintaining algorithmic simplicity, this approach based on ICA representation significantly increases the true recognition rate compared to that obtained using our previously developed all-numerical ICA identity recognition method and another method based on optical correlation and a standard composite filter. PMID:21368935

  11. An Inexpensive and Automated Method for Presenting Olfactory or Tactile Stimuli to Rats in a Two-Choice Discrimination Task

    ERIC Educational Resources Information Center

    Iversen, Iver H.

    2008-01-01

    An inexpensive and automated method for presentation of olfactory or tactile stimuli in a two-choice task for rats was implemented with the use of a computer-controlled bidirectional motor. The motor rotated a disk that presented two stimuli of different texture for tactile discrimination, or different odor for olfactory discrimination. Because…

  12. A convenient method for discriminating between natural and depleted uranium by gamma-ray spectrometry.

    PubMed

    Shoji, M; Hamajima, Y; Takatsuka, K; Honoki, H; Nakajima, T; Kondo, T; Nakanishi, T

    2001-08-01

    A convenient method for discriminating between natural and depleted uranium reagent was developed by measuring and analyzing the gamma-ray spectra of some reagents with no standard source. The counting rates (R) of photoelectric peaks of gamma-rays from nuclides with the same radioactivity divided by their emission probability (B) are expressed as a function of gamma-ray energy. The radioactivities of 234Th and 234mPa and 21.72 times that of 235U are equal to the radioactivity of 235U in natural uranium. Therefore, the plot of 21.72-fold R/B for 235U should be on a curve fitted to the points for 234Th and 234mPa in natural uranium. Depleted uranium with a 235U isotopic composition of less than 0.68% could be discriminated from natural uranium in the case of a reagent containing 4.0 g of uranium.

  13. A convenient method for discriminating between natural and depleted uranium by gamma-ray spectrometry.

    PubMed

    Shoji, M; Hamajima, Y; Takatsuka, K; Honoki, H; Nakajima, T; Kondo, T; Nakanishi, T

    2001-08-01

    A convenient method for discriminating between natural and depleted uranium reagent was developed by measuring and analyzing the gamma-ray spectra of some reagents with no standard source. The counting rates (R) of photoelectric peaks of gamma-rays from nuclides with the same radioactivity divided by their emission probability (B) are expressed as a function of gamma-ray energy. The radioactivities of 234Th and 234mPa and 21.72 times that of 235U are equal to the radioactivity of 235U in natural uranium. Therefore, the plot of 21.72-fold R/B for 235U should be on a curve fitted to the points for 234Th and 234mPa in natural uranium. Depleted uranium with a 235U isotopic composition of less than 0.68% could be discriminated from natural uranium in the case of a reagent containing 4.0 g of uranium. PMID:11393763

  14. Development of a Melting Curve-Based Allele-Specific PCR of Apolipoprotein E (APOE) Genotyping Method for Genomic DNA, Guthrie Blood Spot, and Whole Blood.

    PubMed

    Chen, Chia-Hsiang

    2016-01-01

    Genetic polymorphisms of apolipoprotein E (APOE) are associated with various health conditions and diseases, such as Alzheimer's disease, cardiovascular diseases, type 2 diabetes, etc. Hence, genotyping of APOE has broad applications in biomedical research and clinical settings, particularly in the era of precision medicine. The study aimed to develop a convenient and accurate method with flexible throughput to genotype the APOE polymorphisms. A melting curve-based allele-specific PCR method was developed to genotype two single nucleotide polymorphisms (SNPs) of APOE, i.e. rs429358 at codon 112 and rs7412 at codon 158. These two SNPs determine the genotype of APOE2, E3, and E4. PCR-based Sanger sequencing was used as the reference method for APOE genotyping. A 100% concordance rate was obtained in 300 subjects between the melting curve-based allele-specific PCR method and the Sanger sequencing method. This method was applied to a genetic association analysis of APOE and schizophrenia consisting of 711 patients with schizophrenia and 665 control subjects from Taiwan. However, no significant differences in the allele and genotype frequencies were detected between these two groups. Further experiments showed that DNA dissolved from blood collected on Guthrie filter paper and total blood cell lysate without DNA extraction can be used in the melting curve-based allele-specific PCR method. Thus, we suggest that this is a fast, accurate and robust APOE genotyping method with a flexible throughput and suitable for DNA template from different preparations. This convenient method shall meet the different needs of various research and clinical laboratories. PMID:27078154

  15. A rapid and enhanced DNA detection method for crop cultivar discrimination.

    PubMed

    Monden, Yuki; Takasaki, Kazuto; Futo, Satoshi; Niwa, Kousuke; Kawase, Mitsuo; Akitake, Hiroto; Tahara, Makoto

    2014-09-20

    In many crops species, the development of a rapid and precise cultivar discrimination system has been required for plant breeding and patent protection of plant cultivars and agricultural products. Here, we successfully evaluated strawberry cultivars via a novel method, namely, the single tag hybridization (STH) chromatographic printed array strip (PAS) using the PCR products of eight genomic regions. In a previous study, we showed that genotyping of eight genomic regions derived from FaRE1 retrotransposon insertion site enabled to discriminate 32 strawberry cultivars precisely, however, this method required agarose/acrylamide gel electrophoresis, thus has the difficulty for practical application. In contrast, novel DNA detection method in this study has some great advantages over standard DNA detection methods, including agarose/acrylamide gel electrophoresis, because it produces signals for DNA detection with dramatically higher sensitivity in a shorter time without any preparation or staining of a gel. Moreover, this method enables the visualization of multiplex signals simultaneously in a single reaction using several independent amplification products. We expect that this novel method will become a rapid and convenient cultivar screening assay for practical purposes, and will be widely applied to various situations, including laboratory research, and on-site inspection of plant cultivars and agricultural products. PMID:24954682

  16. Effectiveness of dereverberation, feature transformation, discriminative training methods, and system combination approach for various reverberant environments

    NASA Astrophysics Data System (ADS)

    Tachioka, Yuuki; Narita, Tomohiro; Watanabe, Shinji

    2015-12-01

    The recently released REverberant Voice Enhancement and Recognition Benchmark (REVERB) challenge includes a reverberant automatic speech recognition (ASR) task. This paper describes our proposed system based on multi-channel speech enhancement preprocessing and state-of-the-art ASR techniques. For preprocessing, we propose a single-channel dereverberation method with reverberation time estimation, which is combined with multichannel beamforming that enhances direct sound compared with the reflected sound. In addition, this paper also focuses on state-of-the-art ASR techniques such as discriminative training of acoustic models including the Gaussian mixture model, subspace Gaussian mixture model, and deep neural networks, as well as various feature transformation techniques. Although, for the REVERB challenge, it is necessary to handle various acoustic environments, a single ASR system tends to be overly tuned for a specific environment, which degrades the performance in the mismatch environments. To overcome this mismatch problem with a single ASR system, we use a system combination approach using multiple ASR systems with different features and different model types because a combination of various systems that have different error patterns is beneficial. In particular, we use our discriminative training technique for system combination that achieves better generalization by making systems complementary with the modified discriminative criteria. Experiments show the effectiveness of these approaches, reaching 6.76 and 18.60 % word error rates on the REVERB simulated and real test sets. These are 68.8 and 61.5 % relative improvements over the baseline.

  17. CalMaTe: a method and software to improve allele-specific copy number of SNP arrays for downstream segmentation

    PubMed Central

    Ortiz-Estevez, Maria; Aramburu, Ander; Bengtsson, Henrik; Neuvial, Pierre; Rubio, Angel

    2012-01-01

    Summary: CalMaTe calibrates preprocessed allele-specific copy number estimates (ASCNs) from DNA microarrays by controlling for single-nucleotide polymorphism-specific allelic crosstalk. The resulting ASCNs are on average more accurate, which increases the power of segmentation methods for detecting changes between copy number states in tumor studies including copy neutral loss of heterozygosity. CalMaTe applies to any ASCNs regardless of preprocessing method and microarray technology, e.g. Affymetrix and Illumina. Availability: The method is available on CRAN (http://cran.r-project.org/) in the open-source R package calmate, which also includes an add-on to the Aroma Project framework (http://www.aroma-project.org/). Contact: arubio@ceit.es Supplementary information: Supplementary data are available at Bioinformatics online. PMID:22576175

  18. A robust nonlinear tissue-component discrimination method for computational pathology.

    PubMed

    Sarnecki, Jacob S; Burns, Kathleen H; Wood, Laura D; Waters, Kevin M; Hruban, Ralph H; Wirtz, Denis; Wu, Pei-Hsun

    2016-04-01

    Advances in digital pathology, specifically imaging instrumentation and data management, have allowed for the development of computational pathology tools with the potential for better, faster, and cheaper diagnosis, prognosis, and prediction of disease. Images of tissue sections frequently vary in color appearance across research laboratories and medical facilities because of differences in tissue fixation, staining protocols, and imaging instrumentation, leading to difficulty in the development of robust computational tools. To address this challenge, we propose a novel nonlinear tissue-component discrimination (NLTD) method to register automatically the color space of histopathology images and visualize individual tissue components, independent of color differences between images. Our results show that the NLTD method could effectively discriminate different tissue components from different types of tissues prepared at different institutions. Further, we demonstrate that NLTD can improve the accuracy of nuclear detection and segmentation algorithms, compared with using conventional color deconvolution methods, and can quantitatively analyze immunohistochemistry images. Together, the NLTD method is objective, robust, and effective, and can be easily implemented in the emerging field of computational pathology.

  19. Evaluation of hierarchical agglomerative cluster analysis methods for discrimination of primary biological aerosol

    NASA Astrophysics Data System (ADS)

    Crawford, I.; Ruske, S.; Topping, D. O.; Gallagher, M. W.

    2015-11-01

    In this paper we present improved methods for discriminating and quantifying primary biological aerosol particles (PBAPs) by applying hierarchical agglomerative cluster analysis to multi-parameter ultraviolet-light-induced fluorescence (UV-LIF) spectrometer data. The methods employed in this study can be applied to data sets in excess of 1 × 106 points on a desktop computer, allowing for each fluorescent particle in a data set to be explicitly clustered. This reduces the potential for misattribution found in subsampling and comparative attribution methods used in previous approaches, improving our capacity to discriminate and quantify PBAP meta-classes. We evaluate the performance of several hierarchical agglomerative cluster analysis linkages and data normalisation methods using laboratory samples of known particle types and an ambient data set. Fluorescent and non-fluorescent polystyrene latex spheres were sampled with a Wideband Integrated Bioaerosol Spectrometer (WIBS-4) where the optical size, asymmetry factor and fluorescent measurements were used as inputs to the analysis package. It was found that the Ward linkage with z-score or range normalisation performed best, correctly attributing 98 and 98.1 % of the data points respectively. The best-performing methods were applied to the BEACHON-RoMBAS (Bio-hydro-atmosphere interactions of Energy, Aerosols, Carbon, H2O, Organics and Nitrogen-Rocky Mountain Biogenic Aerosol Study) ambient data set, where it was found that the z-score and range normalisation methods yield similar results, with each method producing clusters representative of fungal spores and bacterial aerosol, consistent with previous results. The z-score result was compared to clusters generated with previous approaches (WIBS AnalysiS Program, WASP) where we observe that the subsampling and comparative attribution method employed by WASP results in the overestimation of the fungal spore concentration by a factor of 1.5 and the underestimation of

  20. Evaluation of hierarchical agglomerative cluster analysis methods for discrimination of primary biological aerosol

    NASA Astrophysics Data System (ADS)

    Crawford, I.; Ruske, S.; Topping, D. O.; Gallagher, M. W.

    2015-07-01

    In this paper we present improved methods for discriminating and quantifying Primary Biological Aerosol Particles (PBAP) by applying hierarchical agglomerative cluster analysis to multi-parameter ultra violet-light induced fluorescence (UV-LIF) spectrometer data. The methods employed in this study can be applied to data sets in excess of 1×106 points on a desktop computer, allowing for each fluorescent particle in a dataset to be explicitly clustered. This reduces the potential for misattribution found in subsampling and comparative attribution methods used in previous approaches, improving our capacity to discriminate and quantify PBAP meta-classes. We evaluate the performance of several hierarchical agglomerative cluster analysis linkages and data normalisation methods using laboratory samples of known particle types and an ambient dataset. Fluorescent and non-fluorescent polystyrene latex spheres were sampled with a Wideband Integrated Bioaerosol Spectrometer (WIBS-4) where the optical size, asymmetry factor and fluorescent measurements were used as inputs to the analysis package. It was found that the Ward linkage with z-score or range normalisation performed best, correctly attributing 98 and 98.1 % of the data points respectively. The best performing methods were applied to the BEACHON-RoMBAS ambient dataset where it was found that the z-score and range normalisation methods yield similar results with each method producing clusters representative of fungal spores and bacterial aerosol, consistent with previous results. The z-score result was compared to clusters generated with previous approaches (WIBS AnalysiS Program, WASP) where we observe that the subsampling and comparative attribution method employed by WASP results in the overestimation of the fungal spore concentration by a factor of 1.5 and the underestimation of bacterial aerosol concentration by a factor of 5. We suggest that this likely due to errors arising from misatrribution due to poor

  1. Discrimination of organic solid materials by LIBS using methods of correlation and normalized coordinates.

    PubMed

    Lasheras, R J; Bello-Gálvez, C; Rodríguez-Celis, E M; Anzano, J

    2011-08-30

    The methods of linear and rank correlation and normalized coordinates (MNC) have been applied to the identification of organic solid materials with a very similar chemical composition by laser-induced breakdown spectroscopy (LIBS). The present study evaluated these three statistical methods using an Echelle spectrometer coupled with an intensified charge-coupled device (ICCD). Moreover, three instrumental parameters (laser pulse energy, delay time and integration time) were evaluated in terms of their influence on the signal-to-noise ratio of carbon and hydrogen emission lines. The probability of a right identification can be estimated by means the described methods in this paper. Methods of correlation provide better identification and discrimination than normalized coordinates at a 95% confidence level.

  2. Protocol: a simple gel-free method for SNP genotyping using allele-specific primers in rice and other plant species

    PubMed Central

    2010-01-01

    Background Genotype analysis using multiple single nucleotide polymorphisms (SNPs) is a useful but labor-intensive or high-cost procedure in plant research. Here we describe an alternative genotyping method that is suited to multi-sample or multi-locus SNP genotyping and does not require electrophoresis or specialized equipment. Results We have developed a simple method for multi-sample or multi-locus SNP genotyping using allele-specific primers (ASP). More specifically, we (1) improved the design of allele-specific primers, (2) established a method to detect PCR products optically without electrophoresis, and (3) standardized PCR conditions for parallel genomic assay using various allele-specific primers. As an illustration of multi-sample SNP genotyping using ASP, we mapped the locus for lodging resistance in a typhoon (lrt5). Additionally, we successfully tested multi-locus ASP-PCR analysis using 96 SNPs located throughout the genomes of rice (Oryza sativa) cultivars 'Koshihikari' and 'Kasalath', and demonstrated its applicability to other diverse cultivars/subspecies, including wild rice (O. rufipogon). Conclusion Our ASP methodology allows characterization of SNPs genotypes without electrophoresis, expensive probes or specialized equipment, and is highly versatile due to the flexibility in the design of primers. The method could be established easily in any molecular biology laboratory, and is applicable to diverse organisms. PMID:20409329

  3. Multiplex PCR method to discriminate Artemisia iwayomogi from other Artemisia plants.

    PubMed

    Doh, Eui Jeong; Oh, Seung-Eun

    2012-01-01

    Some plants in the genus Artemisia have been used for medicinal purposes. Among them, Artemisia iwayomogi, commonly referred to as "Haninjin," is one of the major medicinal materials used in traditional Korean medicine. By contrast, Artemisia capillaris and both Artemisia argyi and Artemisia princeps, referred to as "Injinho" and "Aeyup," respectively, are used to treat diseases different from those for which "Haninjin" is prescribed. Therefore, the development of a reliable method to differentiate each Artemisia herb is necessary. We found that a random amplified polymorphic DNA (RAPD) method can be used to efficiently discriminate a few Artemisia plants from one another. To improve the reliability of RAPD amplification, we designed primer sets based on the nucleotide sequences of RAPD products to amplify a sequence-characterized amplified region (SCAR) marker of A. iwayomogi. In addition, we designed two other primer sets to amplify SCAR markers of "Aeyup" (A. argyi and A. princeps) along with "Injinho" (A. capillaris) and Artemisia japonica, which are also traded in Korean herbal markets. Using these three primer sets, we developed a multiplex PCR method concurrently not only to discriminate A. iwayomogi from other Artemisia plants, but also to identify Artemisia plants using a single PCR process.

  4. Color model and method for video fire flame and smoke detection using Fisher linear discriminant

    NASA Astrophysics Data System (ADS)

    Wei, Yuan; Jie, Li; Jun, Fang; Yongming, Zhang

    2013-02-01

    Video fire detection is playing an increasingly important role in our life. But recent research is often based on a traditional RGB color model used to analyze the flame, which may be not the optimal color space for fire recognition. It is worse when we research smoke simply using gray images instead of color ones. We clarify the importance of color information for fire detection. We present a fire discriminant color (FDC) model for flame or smoke recognition based on color images. The FDC models aim to unify fire color image representation and fire recognition task into one framework. With the definition of between-class scatter matrices and within-class scatter matrices of Fisher linear discriminant, the proposed models seek to obtain one color-space-transform matrix and a discriminate projection basis vector by maximizing the ratio of these two scatter matrices. First, an iterative basic algorithm is designed to get one-component color space transformed from RGB. Then, a general algorithm is extended to generate three-component color space for further improvement. Moreover, we propose a method for video fire detection based on the models using the kNN classifier. To evaluate the recognition performance, we create a database including flame, smoke, and nonfire images for training and testing. The test experiments show that the proposed model achieves a flame verification rate receiver operating characteristic (ROC I) of 97.5% at a false alarm rate (FAR) of 1.06% and a smoke verification rate (ROC II) of 91.5% at a FAR of 1.2%, and lots of fire video experiments demonstrate that our method reaches a high accuracy for fire recognition.

  5. Isolation of S-locus F-box alleles in Prunus avium and their application in a novel method to determine self-incompatibility genotype.

    PubMed

    Vaughan, S P; Russell, K; Sargent, D J; Tobutt, K R

    2006-03-01

    This study characterises a series of 12 S-locus haplotype-specific F-box protein genes (SFB) in cherry (Prunus avium) that are likely candidates for the pollen component of gametophytic self-incompatibility in this species. Primers were designed to amplify 12 SFB alleles,including the introns present in the 50 untranslated region;sequences representing the S-alleles S1, S2, S3, S4, S40, S5,S6, S7, S10, S12, S13 and S16 were cloned and characterized. [The nucleotide sequences reported in this paper have been submitted to the EMBL/GenBank database under the following accession numbers: PaSFB1(AY805048), PaSFB2 (AY805049), PaSFB3 (AY805057),PaSFB4 (AY649872), PaSFB40 (AY649873), PaSFB5(AY805050), PaSFB6 (AY805051), PaSFB7 (AY805052),PaSFB10 (AY805053), PaSFB12 (AY805054), PaSFB13(AY805055), PaSFB16 (AY805056).] Though the coding regions of six of these alleles have been reported previously,the intron sequence has previously been reported only for S6. Analysis of the introns revealed sequence and length polymorphisms. A novel, PCR-based method to genotype cultivars and wild accessions was developed which combines fluorescently labelled primers amplifying the intron of SFB with similar primers for the first intron of S-RNase alleles. Intron length polymorphisms were then ascertained using a semi-automated sequencer. The convenience and reliability of this method for the determination of the self-incompatibility (SI) genotype was demonstrated both in sweet cherry cultivars representing alleles S1 to S16 and in individuals from a wild population encompassing S-alleles S17 to S22. This method will greatly expedite SI characterisation in sweet cherry and also facilitate large-scale studies of self-incompatibility in wild cherry and other Prunus populations.

  6. From genes to phenotypes - evaluation of two methods for the SNP analysis in archaeological remains: pyrosequencing and competitive allele specific PCR (KASPar).

    PubMed

    Pruvost, Melanie; Reissmann, Monika; Benecke, Norbert; Ludwig, Arne

    2012-01-20

    The amplification length of the DNA fragments is one major limitation of most paleogenetic analyses. Routinely, only fragments below 200 bp can be amplified, significantly reducing the content of genetic information. Although overlapping PCR strategies and next generation sequencing techniques have strongly improved data mining recently, these methods are still expensive and time consuming. In contrast, SNP analyses are easy to handle, fast and cheap. In this study, we compare two methods of SNP detection as to efficiency, cost and reliability for their use in ancient DNA applications: pyrosequencing and competitive allele specific PCR (KASPar). Our sample set consisted of 16 horse bones from two Scythian graves (600-800 BC). In conclusion, both approaches produced reliable results for most allelic patterns. But an indel of 11 bp (ASIP) could not be detected in the KASPar approach and produced problems in the pyrosequencing method (70% success rate). In such cases, we recommend checking allelic distribution using a gel approach or capillary sequencing. Overall, in comparison with the traditional mode of ancient DNA investigations (PCR, cloning, capillary sequencing), both approaches are superior for SNP analyses especially of large sample sets.

  7. a Multiscale, Lacunarity and Neural Network Method for γ/h Discrimination in Extensive Air Showers

    NASA Astrophysics Data System (ADS)

    Pagliaro, A.; D'Anna, F.; D'Alí Staiti, G.

    2012-12-01

    This paper presents a new method for the identification of extensive air showers initiated by different primaries. The method uses the multiscale concept and is based on the analysis of multifractal behaviour and lacunarity of secondary particle distributions together with a properly designed and trained artificial neural network. The separation technique is particularly suited for being applied when the topology of the particle distribution in the shower front is as largely detailed as possible. In the present work the method is discussed and applied in the experimental framework of ARGO-YBJ, to obtain hadron to gamma primary separation. We show that the presented approach gives very good results, leading, in the 1 - 10 Tev energy range, to a clear improvement of the discrimination power with respect to the existing figures for extended shower detectors.

  8. Colony morphotype on Sabouraud-triphenyltetrazolium agar: a simple and inexpensive method for Candida subspecies discrimination.

    PubMed Central

    Quindós, G; Fernández-Rodríguez, M; Burgos, A; Tellaetxe, M; Cisterna, R; Pontón, J

    1992-01-01

    A new method of Candida subspecies discrimination on Sabouraud-triphenyltetrazolium agar is reported. Five hundred sixty-two strains of Candida and Torulopsis glabrata, previously identified by conventional mycological methods, were studied. Each strain received a three-letter code and a number based on its colonial morphology. Sixteen morphotypes were found for Candida albicans, 6 were found for Candida parapsilosis, 4 were found for both Candida guilliermondii and Candida krusei, and 12 were found for Candida tropicalis. None of the 56 T. glabrata strains studied grew on this agar. A reproducibility of 95% was found for C. albicans. The simplicity and low cost could make this method useful for typing Candida spp. Images PMID:1400981

  9. Discrimination Skills Predict Effective Preference Assessment Methods for Adults with Developmental Disabilities.

    PubMed

    Lee, May S H; Nguyen, Duong; Yu, C T; Thorsteinsson, Jennifer R; Martin, Toby L; Martin, Garry L

    2008-09-01

    We examined the relationship between three discrimination skills (visual, visual matching-to-sample, and auditory-visual) and four stimulus modalities (object, picture, spoken, and video) in assessing preferences of leisure activities for 7 adults with developmental disabilities. Three discrimination skills were measured using the Assessment of Basic Learning Abilities Test. Three participants mastered a visual discrimination task, but not visual matching-to-sample and auditory-visual discriminations; two participants mastered visual and visual matching-to-sample discriminations, but not auditory-visual discrimination, and two participants showed all three discriminations. The most and least preferred activities, identified through paired-stimulus preference assessment using objects, were presented to each participant in each of the four modalities using a reversal design. The results showed that (1) participants with visual discrimination alone showed a preference for their preferred activities in the object modality only; (2) those with visual and visual matching-to-sample discriminations, but not auditory-visual discrimination, showed a preference for their preferred activities in the object but not in the spoken modality, and mixed results in the pictorial and video modalities; and (3) those with all three discriminations showed a preference for their preferred activities in all four modalities. These results provide partial replications of previous findings on the relationship between discriminations and object, pictorial, and spoken modalities, and extend previous research to include video stimuli. PMID:23536743

  10. New Geophysical Technique for Mineral Exploration and Mineral Discrimination Based on Electromagnetic Methods

    SciTech Connect

    Michael S. Zhdanov

    2005-03-09

    The research during the first year of the project was focused on developing the foundations of a new geophysical technique for mineral exploration and mineral discrimination, based on electromagnetic (EM) methods. The proposed new technique is based on examining the spectral induced polarization effects in electromagnetic data using modern distributed acquisition systems and advanced methods of 3-D inversion. The analysis of IP phenomena is usually based on models with frequency dependent complex conductivity distribution. One of the most popular is the Cole-Cole relaxation model. In this progress report we have constructed and analyzed a different physical and mathematical model of the IP effect based on the effective-medium theory. We have developed a rigorous mathematical model of multi-phase conductive media, which can provide a quantitative tool for evaluation of the type of mineralization, using the conductivity relaxation model parameters. The parameters of the new conductivity relaxation model can be used for discrimination of the different types of rock formations, which is an important goal in mineral exploration. The solution of this problem requires development of an effective numerical method for EM forward modeling in 3-D inhomogeneous media. During the first year of the project we have developed a prototype 3-D IP modeling algorithm using the integral equation (IP) method. Our IE forward modeling code INTEM3DIP is based on the contraction IE method, which improves the convergence rate of the iterative solvers. This code can handle various types of sources and receivers to compute the effect of a complex resistivity model. We have tested the working version of the INTEM3DIP code for computer simulation of the IP data for several models including a southwest US porphyry model and a Kambalda-style nickel sulfide deposit. The numerical modeling study clearly demonstrates how the various complex resistivity models manifest differently in the observed EM

  11. Joints and their relations as critical features in action discrimination: evidence from a classification image method.

    PubMed

    van Boxtel, Jeroen J A; Lu, Hongjing

    2015-01-20

    Classifying an action as a runner or a walker is a seemingly effortless process. However, it is difficult to determine which features are used with hypothesis-driven research, because biological motion stimuli generally consist of about a dozen joints, yielding an enormous number of potential relationships among them. Here, we develop a hypothesis-free approach based on a classification image method, using experimental data from relatively few trials (∼1,000 trials per subject). Employing ambiguous actions morphed between a walker and a runner, we identified three types of features that play important roles in discriminating bipedal locomotion presented in a side view: (a) critical joint feature, supported by the finding that the similarity of the movements of feet and wrists to prototypical movements of these joints were most reliably used across all participants; (b) structural features, indicated by contributions from almost all other joints, potentially through a form-based analysis; and (c) relational features, revealed by statistical correlations between joint contributions, specifically relations between the two feet, and relations between the wrists/elbow and the hips. When the actions were inverted, only critical joint features remained to significantly influence discrimination responses. When actions were presented with continuous depth rotation, critical joint features and relational features associated strongly with responses. Using a double-pass paradigm, we estimated that the internal noise is about twice as large as the external noise, consistent with previous findings. Overall, our novel design revealed a rich set of critical features that are used in action discrimination. The visual system flexibly selects a subset of features depending on viewing conditions.

  12. Disagreement in genotyping results of drug resistance alleles of the Plasmodium falciparum dihydrofolate reductase (Pfdhfr) gene by allele-specific PCR (ASPCR) assays and Sanger sequencing.

    PubMed

    Sharma, Divya; Lather, Manila; Dykes, Cherry L; Dang, Amita S; Adak, Tridibes; Singh, Om P

    2016-01-01

    The rapid spread of antimalarial drug resistance in Plasmodium falciparum over the past few decades has necessitated intensive monitoring of such resistance for an effective malaria control strategy. P. falciparum dihydropteroate synthase (Pfdhps) and P. falciparum dihydrofolate reductase (Pfdhfr) genes act as molecular markers for resistance against the antimalarial drugs sulphadoxine and pyrimethamine, respectively. Resistance to pyrimethamine which is used as a partner drug in artemisinin combination therapy (ACT) is associated with several mutations in the Pfdhfr gene, namely A16V, N51I, C59R, S108N/T and I164L. Therefore, routine monitoring of Pfdhfr-drug-resistant alleles in a population may help in effective drug resistance management. Allele-specific PCR (ASPCR) is one of the commonly used methods for molecular genotyping of these alleles. In this study, we genotyped 55 samples of P. falciparum for allele discrimination at four codons of Pfdhfr (N51, C59, S108 and I164) by ASPCR using published methods and by Sanger's DNA sequencing method. We found that the ASPCR identified a significantly higher number of mutant alleles as compared to the DNA sequencing method. Such discrepancies arise due to the non-specificity of some of the allele-specific primer sets and due to the lack of sensitivity of Sanger's DNA sequencing method to detect minor alleles present in multiple clone infections. This study reveals the need of a highly specific and sensitive method for genotyping and detecting minor drug-resistant alleles present in multiple clonal infections.

  13. Disagreement in genotyping results of drug resistance alleles of the Plasmodium falciparum dihydrofolate reductase (Pfdhfr) gene by allele-specific PCR (ASPCR) assays and Sanger sequencing.

    PubMed

    Sharma, Divya; Lather, Manila; Dykes, Cherry L; Dang, Amita S; Adak, Tridibes; Singh, Om P

    2016-01-01

    The rapid spread of antimalarial drug resistance in Plasmodium falciparum over the past few decades has necessitated intensive monitoring of such resistance for an effective malaria control strategy. P. falciparum dihydropteroate synthase (Pfdhps) and P. falciparum dihydrofolate reductase (Pfdhfr) genes act as molecular markers for resistance against the antimalarial drugs sulphadoxine and pyrimethamine, respectively. Resistance to pyrimethamine which is used as a partner drug in artemisinin combination therapy (ACT) is associated with several mutations in the Pfdhfr gene, namely A16V, N51I, C59R, S108N/T and I164L. Therefore, routine monitoring of Pfdhfr-drug-resistant alleles in a population may help in effective drug resistance management. Allele-specific PCR (ASPCR) is one of the commonly used methods for molecular genotyping of these alleles. In this study, we genotyped 55 samples of P. falciparum for allele discrimination at four codons of Pfdhfr (N51, C59, S108 and I164) by ASPCR using published methods and by Sanger's DNA sequencing method. We found that the ASPCR identified a significantly higher number of mutant alleles as compared to the DNA sequencing method. Such discrepancies arise due to the non-specificity of some of the allele-specific primer sets and due to the lack of sensitivity of Sanger's DNA sequencing method to detect minor alleles present in multiple clone infections. This study reveals the need of a highly specific and sensitive method for genotyping and detecting minor drug-resistant alleles present in multiple clonal infections. PMID:26407876

  14. Independent components analysis to increase efficiency of discriminant analysis methods (FDA and LDA): Application to NMR fingerprinting of wine.

    PubMed

    Monakhova, Yulia B; Godelmann, Rolf; Kuballa, Thomas; Mushtakova, Svetlana P; Rutledge, Douglas N

    2015-08-15

    Discriminant analysis (DA) methods, such as linear discriminant analysis (LDA) or factorial discriminant analysis (FDA), are well-known chemometric approaches for solving classification problems in chemistry. In most applications, principle components analysis (PCA) is used as the first step to generate orthogonal eigenvectors and the corresponding sample scores are utilized to generate discriminant features for the discrimination. Independent components analysis (ICA) based on the minimization of mutual information can be used as an alternative to PCA as a preprocessing tool for LDA and FDA classification. To illustrate the performance of this ICA/DA methodology, four representative nuclear magnetic resonance (NMR) data sets of wine samples were used. The classification was performed regarding grape variety, year of vintage and geographical origin. The average increase for ICA/DA in comparison with PCA/DA in the percentage of correct classification varied between 6±1% and 8±2%. The maximum increase in classification efficiency of 11±2% was observed for discrimination of the year of vintage (ICA/FDA) and geographical origin (ICA/LDA). The procedure to determine the number of extracted features (PCs, ICs) for the optimum DA models was discussed. The use of independent components (ICs) instead of principle components (PCs) resulted in improved classification performance of DA methods. The ICA/LDA method is preferable to ICA/FDA for recognition tasks based on NMR spectroscopic measurements.

  15. Competitive allele-specific TaqMan PCR (Cast-PCR) is a sensitive, specific and fast method for BRAF V600 mutation detection in Melanoma patients.

    PubMed

    Barbano, Raffaela; Pasculli, Barbara; Coco, Michelina; Fontana, Andrea; Copetti, Massimiliano; Rendina, Michelina; Valori, Vanna Maria; Graziano, Paolo; Maiello, Evaristo; Fazio, Vito Michele; Parrella, Paola

    2015-12-22

    BRAF codon 600 mutation testing of melanoma patients is mandatory for the choice of the most appropriate therapy in the clinical setting. Competitive allele specific TaqMan PCR (Cast-PCR) technology allows not only the selective amplification of minor alleles, but it also blocks the amplification of non-mutant allele. We genotyped codon 600 of the BRAF gene in 54 patients' samples by Cast-PCR and bidirectional direct sequence analysis. All the mutations detected by sequencing were also identified by Cast-PCR. In addition, Cast-PCR assay detected four samples carrying mutations and was able to clearly identify two mutations of uncertain interpretation by Sanger sequencing. The limit of detection of Cast-PCR was evaluated by constructing dilution curves of BRAF(V600E) and BRAF(V600K) mutated clinical samples mixed with a not-mutated specimens. Both mutations could be detected until a 1:100 mutated/not mutated ratio. Cloning and sequencing of the clones was used to confirm mutations on representative discrepant cases. Cast PCR performances were not affected by intratumour heterogeneity, and less affected by melanin content. Our results indicate that Cast-PCR is a reliable diagnostic tool for the identification of melanoma patients as eligible to be treated with TKIs and might be implemented in the clinical setting as elective screening method.

  16. A simple and rapid method for HLA-DQA1 genotyping by digestion of PCR-amplified DNA with allele specific restriction endonucleases.

    PubMed

    Maeda, M; Murayama, N; Ishii, H; Uryu, N; Ota, M; Tsuji, K; Inoko, H

    1989-11-01

    The second exon of the HLA-DQA1 genes was selectively amplified from genomic DNAs of 72 HLA-homozygous B cell lines by the polymerase chain reaction (PCR). Amplified DNAs were digested with HaeIII, Ddel, ScrFI, FokI and RsaI, which recognize allelic sequence variations in the polymorphic segments of the DQA1 second exon, and then subjected to electrophoresis in polyacrylamide gels. Eight different polymorphic patterns of restriction fragments were obtained, and seven were identical to patterns predicted from the known DNA sequences, correlating with each HLA-DQw type defined by serological typing. The remaining one pattern cannot be explained from the sequence data, suggesting the presence of a novel DQA1 allele at the nucleotide level. This PCR-RFLP method provides a simple and rapid technique for accurate definition of the HLA-DQ types at the nucleotide level, eliminating the need for radioisotope as well as allele specific oligonucleotide probes and can be extended and applied to HLA-DR, -Dw DP typing. PMID:2576477

  17. Competitive allele-specific TaqMan PCR (Cast-PCR) is a sensitive, specific and fast method for BRAF V600 mutation detection in Melanoma patients

    PubMed Central

    Barbano, Raffaela; Pasculli, Barbara; Coco, Michelina; Fontana, Andrea; Copetti, Massimiliano; Rendina, Michelina; Valori, Vanna Maria; Graziano, Paolo; Maiello, Evaristo; Fazio, Vito Michele; Parrella, Paola

    2015-01-01

    BRAF codon 600 mutation testing of melanoma patients is mandatory for the choice of the most appropriate therapy in the clinical setting. Competitive allele specific TaqMan PCR (Cast-PCR) technology allows not only the selective amplification of minor alleles, but it also blocks the amplification of non-mutant allele. We genotyped codon 600 of the BRAF gene in 54 patients’ samples by Cast-PCR and bidirectional direct sequence analysis. All the mutations detected by sequencing were also identified by Cast-PCR. In addition, Cast-PCR assay detected four samples carrying mutations and was able to clearly identify two mutations of uncertain interpretation by Sanger sequencing. The limit of detection of Cast-PCR was evaluated by constructing dilution curves of BRAFV600E and BRAFV600K mutated clinical samples mixed with a not-mutated specimens. Both mutations could be detected until a 1:100 mutated/not mutated ratio. Cloning and sequencing of the clones was used to confirm mutations on representative discrepant cases. Cast PCR performances were not affected by intratumour heterogeneity, and less affected by melanin content. Our results indicate that Cast-PCR is a reliable diagnostic tool for the identification of melanoma patients as eligible to be treated with TKIs and might be implemented in the clinical setting as elective screening method. PMID:26690267

  18. Improving Cognitive Diagnostic Computerized Adaptive Testing by Balancing Attribute Coverage: The Modified Maximum Global Discrimination Index Method

    ERIC Educational Resources Information Center

    Cheng, Ying

    2010-01-01

    This article proposes a new item selection method, namely, the modified maximum global discrimination index (MMGDI) method, for cognitive diagnostic computerized adaptive testing (CD-CAT). The new method captures two aspects of the appeal of an item: (a) the amount of contribution it can make toward adequate coverage of every attribute and (b) the…

  19. The Neutron-Gamma Pulse Shape Discrimination Method for Neutron Flux Detection in the ITER

    NASA Astrophysics Data System (ADS)

    Xu, Xiufeng; Li, Shiping; Cao, Hongrui; Yuan, Guoliang; Yang, Qingwei; Yin, Zejie

    2013-05-01

    The neutron flux monitor (NFM), as a significant diagnostic system in the International Thermonuclear Experimental Reactor (ITER), will play an important role in the readings of a series of key parameters in the fusion reaction process. As the core of the main electronic system of the NFM, the neutron-gamma pulse shape discrimination (n-γ PSD) can distinguish the neutron pulse from the gamma pulse and other disturbing pulses according to the thresholds of the rising time and the amplitude pre-installed on the board, the double timing point CFD method is used to get the rising time of the pulse. The n-γ PSD can provide an accurate neutron count.

  20. Online Variety Discrimination of Rice Seeds Using Multispectral Imaging and Chemometric Methods

    NASA Astrophysics Data System (ADS)

    Liu, W.; Liu, Ch.; Ma, F.; Lu, X.; Yang, J.; Zheng, L.

    2016-01-01

    Variety identification plays an important role in ensuring the quality and quantity of yield in rice production. The feasibility of a rapid and nondestructive determination of varieties of rice seeds was examined by using a multispectral imaging system combined with chemometric data analysis. Methods of the partial least squares discriminant analysis (PLSDA), principal component analysis-back propagation neural network (PCA-BPNN), and least squares-support vector machines (LS-SVM) were applied to classify varieties of rice seeds. The results demonstrate that clear differences among varieties of rice seeds could be easily visualized using the multispectral imaging technique and an excellent classification could be achieved combining data of the spectral and morphological features. The classification accuracy was up to 94% in a validation set with the LS-SVM model, which was better than the PLSDA (62%) and PCA-BPNN (84%) models.

  1. A new two-alternative forced choice method for the unbiased characterization of perceptual bias and discriminability.

    PubMed

    Jogan, Matjaž; Stocker, Alan A

    2014-03-13

    Perception is often biased by secondary stimulus attributes (e.g., stimulus noise, attention, or spatial context). A correct quantitative characterization of perceptual bias is essential for testing hypotheses about the underlying perceptual mechanisms and computations. We demonstrate that the standard two-alternative forced choice (2AFC) method can lead to incorrect estimates of perceptual bias. We present a new 2AFC method that solves this problem by asking subjects to judge the relative perceptual distances between the test and each of two reference stimuli. Naïve subjects can easily perform this task. We successfully validated the new method with a visual motion-discrimination experiment. We demonstrate that the method permits an efficient and accurate characterization of perceptual bias and simultaneously provides measures of discriminability for both the reference and test stimulus, all from a single stimulus condition. This makes it an attractive choice for the characterization of perceptual bias and discriminability in a wide variety of psychophysical experiments.

  2. Assessment of strawberry aroma through SPME/GC and ANN methods. Classification and discrimination of varieties.

    PubMed

    Urruty, Louise; Giraudel, Jean-Luc; Lek, Sovan; Roudeillac, Philippe; Montury, Michel

    2002-05-22

    To provide an efficient and running analytical tool to strawberry plant breeders who have to characterize and compare the aromatic properties of new cultivars to those already known, a HS-SPME/GC-MS analysis method has been coupled with a statistical treatment method issued from the current development of artificial neuron networks (ANN), and more specifically, the unsupervised learning systems called Kohonen self-organizing maps (SOMs). So, 70 strawberry samples harvested at CIREF from 17 known varieties have been extracted by using a DVB/Carboxen/PDMS SPME fiber according to the headspace procedure, and then chromatographed. A panel of 23 characteristic aromatic constituents has been selected according to published results relative to strawberry aroma. The complex resulting matrix, collecting the relative abundance of the 23 selected constituents for each sample, has been input into the SOM software adapted and optimized from the Kohonen approach described by one of the authors. After a period of training, the self-organized system affords a map of virtual strawberries to which real samples are compared and plotted in the best matching unit (BMU) of the map. The efficiency for discriminating the real samples according to their variety is dependent on the number of units selected to define the map. In this case, a 24-unit map allowed the complete discrimination of the 17 selected varieties. Moreover, to test the validity of this approach, two additional samples were blind-analyzed and the results were computed according to the same procedure. At the end of this treatment, both samples were plotted into the same unit as those of the same variety used for training the map.

  3. Monitoring of facial stress during space flight: Optical computer recognition combining discriminative and generative methods

    NASA Astrophysics Data System (ADS)

    Dinges, David F.; Venkataraman, Sundara; McGlinchey, Eleanor L.; Metaxas, Dimitris N.

    2007-02-01

    Astronauts are required to perform mission-critical tasks at a high level of functional capability throughout spaceflight. Stressors can compromise their ability to do so, making early objective detection of neurobehavioral problems in spaceflight a priority. Computer optical approaches offer a completely unobtrusive way to detect distress during critical operations in space flight. A methodology was developed and a study completed to determine whether optical computer recognition algorithms could be used to discriminate facial expressions during stress induced by performance demands. Stress recognition from a facial image sequence is a subject that has not received much attention although it is an important problem for many applications beyond space flight (security, human-computer interaction, etc.). This paper proposes a comprehensive method to detect stress from facial image sequences by using a model-based tracker. The image sequences were captured as subjects underwent a battery of psychological tests under high- and low-stress conditions. A cue integration-based tracking system accurately captured the rigid and non-rigid parameters of different parts of the face (eyebrows, lips). The labeled sequences were used to train the recognition system, which consisted of generative (hidden Markov model) and discriminative (support vector machine) parts that yield results superior to using either approach individually. The current optical algorithm methods performed at a 68% accuracy rate in an experimental study of 60 healthy adults undergoing periods of high-stress versus low-stress performance demands. Accuracy and practical feasibility of the technique is being improved further with automatic multi-resolution selection for the discretization of the mask, and automated face detection and mask initialization algorithms.

  4. New Geophysical Technique for Mineral Exploration and Mineral Discrimination Based on Electromagnetic Methods

    SciTech Connect

    Michael S. Zhdanov

    2009-03-09

    The research during the first two years of the project was focused on developing the foundations of a new geophysical technique for mineral exploration and mineral discrimination, based on electromagnetic (EM) methods. The developed new technique is based on examining the spectral induced polarization effects in electromagnetic data using effective-medium theory and advanced methods of 3-D modeling and inversion. The analysis of IP phenomena is usually based on models with frequency dependent complex conductivity distribution. In this project, we have developed a rigorous physical/mathematical model of heterogeneous conductive media based on the effective-medium approach. The new generalized effective-medium theory of IP effect (GEMTIP) provides a unified mathematical method to study heterogeneity, multi-phase structure, and polarizability of rocks. The geoelectrical parameters of a new composite conductivity model are determined by the intrinsic petrophysical and geometrical characteristics of composite media: mineralization and/or fluid content of rocks, matrix composition, porosity, anisotropy, and polarizability of formations. The new GEMTIP model of multi-phase conductive media provides a quantitative tool for evaluation of the type of mineralization, and the volume content of different minerals using electromagnetic data. We have developed a 3-D EM-IP modeling algorithm using the integral equation (IE) method. Our IE forward modeling software is based on the contraction IE method, which improves the convergence rate of the iterative solvers. This code can handle various types of sources and receivers to compute the effect of a complex resistivity model. We have demonstrated that the generalized effective-medium theory of induced polarization (GEMTIP) in combination with the IE forward modeling method can be used for rock-scale forward modeling from grain-scale parameters. The numerical modeling study clearly demonstrates how the various complex resistivity

  5. Discrimination Skills Predict Effective Preference Assessment Methods for Adults with Developmental Disabilities

    ERIC Educational Resources Information Center

    Lee, May S. H.; Nguyen, Duong; Yu, C. T.; Thorsteinsson, Jennifer R.; Martin, Toby L.; Martin, Garry L.

    2008-01-01

    We examined the relationship between three discrimination skills (visual, visual matching-to-sample, and auditory-visual) and four stimulus modalities (object, picture, spoken, and video) in assessing preferences of leisure activities for 7 adults with developmental disabilities. Three discrimination skills were measured using the Assessment of…

  6. Using a Euclid distance discriminant method to find protein coding genes in the yeast genome.

    PubMed

    Zhang, Chun-Ting; Wang, Ju; Zhang, Ren

    2002-02-01

    The Euclid distance discriminant method is used to find protein coding genes in the yeast genome, based on the single nucleotide frequencies at three codon positions in the ORFs. The method is extremely simple and may be extended to find genes in prokaryotic genomes or eukaryotic genomes with less introns. Six-fold cross-validation tests have demonstrated that the accuracy of the algorithm is better than 93%. Based on this, it is found that the total number of protein coding genes in the yeast genome is less than or equal to 5579 only, about 3.8-7.0% less than 5800-6000, which is currently widely accepted. The base compositions at three codon positions are analyzed in details using a graphic method. The result shows that the preference codons adopted by yeast genes are of the RGW type, where R, G and W indicate the bases of purine, non-G and A/T, whereas the 'codons' in the intergenic sequences are of the form NNN, where N denotes any base. This fact constitutes the basis of the algorithm to distinguish between coding and non-coding ORFs in the yeast genome. The names of putative non-coding ORFs are listed here in detail.

  7. A method for discriminating systemic and cortical hemodynamic changes by time domain fNIRS

    NASA Astrophysics Data System (ADS)

    Zucchelli, Lucia; Spinelli, Lorenzo; Contini, Davide; Re, Rebecca; Torricelli, Alessandro

    2013-06-01

    Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical technique able to measure hemodynamic response in the brain cortex. Among the different approaches the fNIRS can be based on, the time resolved one allows a straightforward relationship between the photon detection time and its path within the medium, improving the discrimination of the information content relative to the different layers the tissues are composed of. Thus absorption and scattering properties of the probed tissue can be estimated, and from them the oxy- and deoxy-hemoglobin concentration. However, an open issue in the optical imaging studies is still the accuracy in separating the superficial hemodynamic changes from those happening in deeper regions of the head and more likely involving the cerebral cortex. In fact a crucial point is the precise estimate of the time dependent pathlength spent by photons within the perturbed medium. A novel method for the calculus of the absorption properties in time domain fNIRS, based on a refined computation of photon pathlength in multilayered media, is proposed. The method takes into account the non-ideality of the measurement system (its instrument response function) and the heterogeneous structure of the head. The better accuracy in computing the optical pathlength can improve the NIRS data analysis, especially for the deeper layer. Simulations and preliminary analysis on in vivo data have been performed to validate the method and are here presented.

  8. Discrimination of coherent features in turbulent boundary layers by the entropy method

    NASA Technical Reports Server (NTRS)

    Corke, T. C.; Guezennec, Y. G.

    1984-01-01

    Entropy in information theory is defined as the expected or mean value of the measure of the amount of self-information contained in the ith point of a distribution series x sub i, based on its probability of occurrence p(x sub i). If p(x sub i) is the probability of the ith state of the system in probability space, then the entropy, E(X) = - sigma p(x sub i) logp (x sub i), is a measure of the disorder in the system. Based on this concept, a method was devised which sought to minimize the entropy in a time series in order to construct the signature of the most coherent motions. The constrained minimization was performed using a Lagrange multiplier approach which resulted in the solution of a simultaneous set of non-linear coupled equations to obtain the coherent time series. The application of the method to space-time data taken by a rake of sensors in the near-wall region of a turbulent boundary layer was presented. The results yielded coherent velocity motions made up of locally decelerated or accelerated fluid having a streamwise scale of approximately 100 nu/u(tau), which is in qualitative agreement with the results from other less objective discrimination methods.

  9. A discriminant function model as an alternative method to spirometry for COPD screening in primary care settings in China

    PubMed Central

    Cui, Jiangyu; Zhou, Yumin; Tian, Jia; Wang, Xinwang; Zheng, Jingping; Zhong, Nanshan

    2012-01-01

    Objective COPD is often underdiagnosed in a primary care setting where the spirometry is unavailable. This study was aimed to develop a simple, economical and applicable model for COPD screening in those settings. Methods First we established a discriminant function model based on Bayes’ Rule by stepwise discriminant analysis, using the data from 243 COPD patients and 112 non-COPD subjects from our COPD survey in urban and rural communities and local primary care settings in Guangdong Province, China. We then used this model to discriminate COPD in additional 150 subjects (50 non-COPD and 100 COPD ones) who had been recruited by the same methods as used to have established the model. All participants completed pre- and post-bronchodilator spirometry and questionnaires. COPD was diagnosed according to the Global Initiative for Chronic Obstructive Lung Disease criteria. The sensitivity and specificity of the discriminant function model was assessed. Results The established discriminant function model included nine variables: age, gender, smoking index, body mass index, occupational exposure, living environment, wheezing, cough and dyspnoea. The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, accuracy and error rate of the function model to discriminate COPD were 89.00%, 82.00%, 4.94, 0.13, 86.66% and 13.34%, respectively. The accuracy and Kappa value of the function model to predict COPD stages were 70% and 0.61 (95% CI, 0.50 to 0.71). Conclusions This discriminant function model may be used for COPD screening in primary care settings in China as an alternative option instead of spirometry. PMID:23205284

  10. A novel one cycle allele specific primer extension--molecular beacon displacement method for DNA point mutation detection with improved specificity.

    PubMed

    Li, Xiaomin; Huang, Yong; Guan, Yuan; Zhao, Meiping; Li, Yuanzong

    2007-02-12

    We report here a new method for the real-time detection of DNA point mutations with molecular beacon as the fluorescence tracer and 3' (exo-) Bst DNA polymerase large fragment as the polymerase. The method is based on the mechanism of allele specific primer extension-strand displacement (ASPE-SD). To improve the specificity of the method only one cycle of the allele specific polymerase chain reaction (PCR) was used that could largely eliminate the non-specific reactions between the primers and template of the "wrong" genotype. At first, the primer and molecular beacon both hybridize to the DNA template, and the molecular beacon emits intensive fluorescence. The role of 3' exonuclease excision of Bst DNA polymerase large fragment is utilized for primer extension. When 3'-termini matches its corresponding template, the primer would efficiently extend and replace the molecular beacon that would simultaneously return to its closed form leading to the quenching of the fluorescence. However, when 3'-termini of the primer mismatches its corresponding template primer extension and molecular beacon displacement would not happen and fluorescence of the hybridized molecular beacon holds the line without fluorescence quenching. This approach was fully demonstrated in synthetic template systems and applied to detect point mutation at codon 259, a possible point mutation site in exon 7 of p53 gene, obtained from human genomic DNA samples with unambiguous differentiation power.

  11. Haptic exploratory behavior during object discrimination: a novel automatic annotation method.

    PubMed

    Jansen, Sander E M; Bergmann Tiest, Wouter M; Kappers, Astrid M L

    2015-01-01

    In order to acquire information concerning the geometry and material of handheld objects, people tend to execute stereotypical hand movement patterns called haptic Exploratory Procedures (EPs). Manual annotation of haptic exploration trials with these EPs is a laborious task that is affected by subjectivity, attentional lapses, and viewing angle limitations. In this paper we propose an automatic EP annotation method based on position and orientation data from motion tracking sensors placed on both hands and inside a stimulus. A set of kinematic variables is computed from these data and compared to sets of predefined criteria for each of four EPs. Whenever all criteria for a specific EP are met, it is assumed that that particular hand movement pattern was performed. This method is applied to data from an experiment where blindfolded participants haptically discriminated between objects differing in hardness, roughness, volume, and weight. In order to validate the method, its output is compared to manual annotation based on video recordings of the same trials. Although mean pairwise agreement is less between human-automatic pairs than between human-human pairs (55.7% vs 74.5%), the proposed method performs much better than random annotation (2.4%). Furthermore, each EP is linked to a specific object property for which it is optimal (e.g., Lateral Motion for roughness). We found that the percentage of trials where the expected EP was found does not differ between manual and automatic annotation. For now, this method cannot yet completely replace a manual annotation procedure. However, it could be used as a starting point that can be supplemented by manual annotation.

  12. Passive fetal heart rate monitoring apparatus and method with enhanced fetal heart beat discrimination

    NASA Technical Reports Server (NTRS)

    Zahorian, Stephen A. (Inventor); Livingston, David L. (Inventor); Pretlow, III, Robert A. (Inventor)

    1996-01-01

    An apparatus for acquiring signals emitted by a fetus, identifying fetal heart beats and determining a fetal heart rate. Multiple sensor signals are outputted by a passive fetal heart rate monitoring sensor. Multiple parallel nonlinear filters filter these multiple sensor signals to identify fetal heart beats in the signal data. A processor determines a fetal heart rate based on these identified fetal heart beats. The processor includes the use of a figure of merit weighting of heart rate estimates based on the identified heart beats from each filter for each signal. The fetal heart rate thus determined is outputted to a display, storage, or communications channel. A method for enhanced fetal heart beat discrimination includes acquiring signals from a fetus, identifying fetal heart beats from the signals by multiple parallel nonlinear filtering, and determining a fetal heart rate based on the identified fetal heart beats. A figure of merit operation in this method provides for weighting a plurality of fetal heart rate estimates based on the identified fetal heart beats and selecting the highest ranking fetal heart rate estimate.

  13. Reduction of truncation artifacts in CT images via a discriminative dictionary representation method

    NASA Astrophysics Data System (ADS)

    Chen, Yang; Li, Ke; Li, Yinsheng; Hsieh, Jiang; Chen, Guang-Hong

    2016-04-01

    When the scan field of view (SFOV) of a CT system is not large enough to enclose the entire cross-section of a patient, or the patient needs to be intentionally positioned partially outside the SFOV for certain clinical CT scans, truncation artifacts are often observed in the reconstructed CT images. Conventional wisdom to reduce truncation artifacts is to complete the truncated projection data via data extrapolation with different a priori assumptions. This paper presents a novel truncation artifact reduction method that directly works in the CT image domain. Specifically, a discriminative dictionary that includes a sub-dictionary of truncation artifacts and a sub-dictionary of non-artifact image information was used to separate a truncation artifact-contaminated image into two sub-images, one with reduced truncation artifacts, and the other one containing only the truncation artifacts. Both experimental phantom and retrospective human subject studies have been performed to characterize the performance of the proposed truncation artifact reduction method.

  14. Photoacoustic discrimination of vascular and pigmented lesions using classical and Bayesian methods

    NASA Astrophysics Data System (ADS)

    Swearingen, Jennifer A.; Holan, Scott H.; Feldman, Mary M.; Viator, John A.

    2010-01-01

    Discrimination of pigmented and vascular lesions in skin can be difficult due to factors such as size, subungual location, and the nature of lesions containing both melanin and vascularity. Misdiagnosis may lead to precancerous or cancerous lesions not receiving proper medical care. To aid in the rapid and accurate diagnosis of such pathologies, we develop a photoacoustic system to determine the nature of skin lesions in vivo. By irradiating skin with two laser wavelengths, 422 and 530 nm, we induce photoacoustic responses, and the relative response at these two wavelengths indicates whether the lesion is pigmented or vascular. This response is due to the distinct absorption spectrum of melanin and hemoglobin. In particular, pigmented lesions have ratios of photoacoustic amplitudes of approximately 1.4 to 1 at the two wavelengths, while vascular lesions have ratios of about 4.0 to 1. Furthermore, we consider two statistical methods for conducting classification of lesions: standard multivariate analysis classification techniques and a Bayesian-model-based approach. We study 15 human subjects with eight vascular and seven pigmented lesions. Using the classical method, we achieve a perfect classification rate, while the Bayesian approach has an error rate of 20%.

  15. A review of simultaneous visual discrimination as a method of training octopuses.

    PubMed

    Boal, J G

    1996-05-01

    I have presented a review and critique of the procedures employed in simultaneous discrimination training experiments using octopuses as subjects. Procedural variables were analyzed statistically for their influence on experimental outcome. The variables most significantly associated with successful discriminations included use of a specific start location for subjects, shock as negative reinforcement, fewer trials per session, more sessions per day, and discriminations based on stimulus brightness. No experiment controlled all potential sources of inadvertent cues, and subjects' performances appeared to be sensitive to exact procedural details. The most common practice diminishing evidence for learning involved reward that coincided with the subject's pre-existing preferences. I found no evidence that sub-optimal experimental designs biased experimental outcomes in any significant and systematic way. Although there is sufficient reason for rejecting results of published simultaneous discrimination training experiments, careful conclusive experiments remain to be performed.

  16. The convergent and discriminant validity of burnout measures in sport: a multi-trait/multi-method analysis.

    PubMed

    Cresswell, Scott L; Eklund, Robert C

    2006-02-01

    Athlete burnout research has been hampered by the lack of an adequate measurement tool. The Athlete Burnout Questionnaire (ABQ) and the Maslach Burnout Inventory General Survey (MBI-GS) are two recently developed self-report instruments designed to assess burnout. The convergent and discriminant validity of the ABQ and MBI-GS were assessed through multi-trait/multi-method analysis with a sporting population. Overall, the ABQ and the MBI-GS displayed acceptable convergent validity with matching subscales highly correlated, and satisfactory internal discriminant validity with lower correlations between non-matching subscales. Both scales also indicated an adequate discrimination between the concepts of burnout and depression. These findings add support to previous findings in non-sporting populations that depression and burnout are separate constructs. Based on the psychometric results, construct validity analysis and practical considerations, the results support the use of the ABQ to assess athlete burnout.

  17. [Outlier sample discriminating methods for building calibration model in melons quality detecting using NIR spectra].

    PubMed

    Tian, Hai-Qing; Wang, Chun-Guang; Zhang, Hai-Jun; Yu, Zhi-Hong; Li, Jian-Kang

    2012-11-01

    Outlier samples strongly influence the precision of the calibration model in soluble solids content measurement of melons using NIR Spectra. According to the possible sources of outlier samples, three methods (predicted concentration residual test; Chauvenet test; leverage and studentized residual test) were used to discriminate these outliers respectively. Nine suspicious outliers were detected from calibration set which including 85 fruit samples. Considering the 9 suspicious outlier samples maybe contain some no-outlier samples, they were reclaimed to the model one by one to see whether they influence the model and prediction precision or not. In this way, 5 samples which were helpful to the model joined in calibration set again, and a new model was developed with the correlation coefficient (r) 0. 889 and root mean square errors for calibration (RMSEC) 0.6010 Brix. For 35 unknown samples, the root mean square errors prediction (RMSEP) was 0.854 degrees Brix. The performance of this model was more better than that developed with non outlier was eliminated from calibration set (r = 0.797, RMSEC= 0.849 degrees Brix, RMSEP = 1.19 degrees Brix), and more representative and stable with all 9 samples were eliminated from calibration set (r = 0.892, RMSEC = 0.605 degrees Brix, RMSEP = 0.862 degrees).

  18. Rapid PCR-RFLP method for discrimination of imported and domestic mackerel.

    PubMed

    Aranishi, Futoshi

    2005-01-01

    With the ever-decreasing domestic fishery catch of Japanese mackerel Scomber japonicus, alternative Atlantic mackerel Scomber scombrus has been increasingly imported and currently accounts for approximately 34% of mackerel consumption in Japan. As there is no morphologic difference between the species after removal of their skin, not only fresh and frozen fillets but also processed seafood of S. scombrus are frequently marketed with mislabeling as S. japonicus. In this study, a rapid and reliable polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis was developed to discriminate imported mackerel S. scombrus and domestic mackerel S. japonicus. PCR amplification for the nuclear 5S ribosomal DNA nontranscribed spacer was performed using Scomber-specific primers. Direct digestions of the PCR products using either PvuII or HaeIII restriction enzymes generated species-specific profiles, indicating that both enzymes enable the accurate identification of S. scombrus and S. japonicus. This robust and reproducible method can serve as molecular-based routine food inspection program to enforce labeling regulations.

  19. Decision criteria in dual discrimination tasks estimated using external-noise methods.

    PubMed

    Zak, Ido; Katkov, Mikhail; Gorea, Andrei; Sagi, Dov

    2012-07-01

    According to classical signal detection theory (SDT), in simple detection or discrimination tasks, observers use a decision parameter based on their noisy internal response to set a boundary between "yes" and "no" responses. Experimental paradigms where performance is limited by internal noise cannot be used to provide an unambiguous measure of the decision criterion and its variability. Here, unidimensional external noise is used to estimate a criterion and its variability in stimulus space. Within this paradigm, the criterion is defined as the stimulus value separating the two response alternatives. This paradigm allows the assessment of interactions between criteria assigned to different targets in dual tasks. Previous studies suggested that observers' criteria interacted or even collapsed to one (hence, nonoptimal) criterion. An alternative interpretation of those results is that observers equated their false alarm (FA) rates. The external-noise method enables the confrontation of the two hypotheses. It is shown that the variability of observers' criterion in stimulus space is about 1.6 times their measured sensory threshold, suggesting that the presence of external noise increases decision uncertainty. Observers' stimulus criterion settings are close to SDT predictions in single tasks, but not in dual tasks where the two criteria tend to "attract" each other. Observers maintain distinct FA rates even when SDT predicts equal rates. Observers trained in psychophysics or provided with basic notions of SDT exemplified with the present experimental design manage to better separate their criteria in some conditions. PMID:22351481

  20. Non-parametric bootstrapping method for measuring the temporal discrimination threshold for movement disorders

    NASA Astrophysics Data System (ADS)

    Butler, John S.; Molloy, Anna; Williams, Laura; Kimmich, Okka; Quinlivan, Brendan; O'Riordan, Sean; Hutchinson, Michael; Reilly, Richard B.

    2015-08-01

    Objective. Recent studies have proposed that the temporal discrimination threshold (TDT), the shortest detectable time period between two stimuli, is a possible endophenotype for adult onset idiopathic isolated focal dystonia (AOIFD). Patients with AOIFD, the third most common movement disorder, and their first-degree relatives have been shown to have abnormal visual and tactile TDTs. For this reason it is important to fully characterize each participant’s data. To date the TDT has only been reported as a single value. Approach. Here, we fit individual participant data with a cumulative Gaussian to extract the mean and standard deviation of the distribution. The mean represents the point of subjective equality (PSE), the inter-stimulus interval at which participants are equally likely to respond that two stimuli are one stimulus (synchronous) or two different stimuli (asynchronous). The standard deviation represents the just noticeable difference (JND) which is how sensitive participants are to changes in temporal asynchrony around the PSE. We extended this method by submitting the data to a non-parametric bootstrapped analysis to get 95% confidence intervals on individual participant data. Main results. Both the JND and PSE correlate with the TDT value but are independent of each other. Hence this suggests that they represent different facets of the TDT. Furthermore, we divided groups by age and compared the TDT, PSE, and JND values. The analysis revealed a statistical difference for the PSE which was only trending for the TDT. Significance. The analysis method will enable deeper analysis of the TDT to leverage subtle differences within and between control and patient groups, not apparent in the standard TDT measure.

  1. THE BOLOCAM GALACTIC PLANE SURVEY. VIII. A MID-INFRARED KINEMATIC DISTANCE DISCRIMINATION METHOD

    SciTech Connect

    Ellsworth-Bowers, Timothy P.; Glenn, Jason; Battersby, Cara; Ginsburg, Adam; Bally, John; Rosolowsky, Erik; Mairs, Steven; Evans, Neal J. II; Shirley, Yancy L.

    2013-06-10

    We present a new distance estimation method for dust-continuum-identified molecular cloud clumps. Recent (sub-)millimeter Galactic plane surveys have cataloged tens of thousands of these objects, plausible precursors to stellar clusters, but detailed study of their physical properties requires robust distance determinations. We derive Bayesian distance probability density functions (DPDFs) for 770 objects from the Bolocam Galactic Plane Survey in the Galactic longitude range 7. Degree-Sign 5 {<=} l {<=} 65 Degree-Sign . The DPDF formalism is based on kinematic distances, and uses any number of external data sets to place prior distance probabilities to resolve the kinematic distance ambiguity (KDA) for objects in the inner Galaxy. We present here priors related to the mid-infrared absorption of dust in dense molecular regions and the distribution of molecular gas in the Galactic disk. By assuming a numerical model of Galactic mid-infrared emission and simple radiative transfer, we match the morphology of (sub-)millimeter thermal dust emission with mid-infrared absorption to compute a prior DPDF for distance discrimination. Selecting objects first from (sub-)millimeter source catalogs avoids a bias towards the darkest infrared dark clouds (IRDCs) and extends the range of heliocentric distance probed by mid-infrared extinction and includes lower-contrast sources. We derive well-constrained KDA resolutions for 618 molecular cloud clumps, with approximately 15% placed at or beyond the tangent distance. Objects with mid-infrared contrast sufficient to be cataloged as IRDCs are generally placed at the near kinematic distance. Distance comparisons with Galactic Ring Survey KDA resolutions yield a 92% agreement. A face-on view of the Milky Way using resolved distances reveals sections of the Sagittarius and Scutum-Centaurus Arms. This KDA-resolution method for large catalogs of sources through the combination of (sub-)millimeter and mid-infrared observations of molecular

  2. Discrimination of Maize Haploid Seeds from Hybrid Seeds Using Vis Spectroscopy and Support Vector Machine Method.

    PubMed

    Liu, Jin; Guo, Ting-ting; Li, Hao-chuan; Jia, Shi-qiang; Yan, Yan-lu; An, Dong; Zhang, Yao; Chen, Shao-jiang

    2015-11-01

    Doubled haploid (DH) lines are routinely applied in the hybrid maize breeding programs of many institutes and companies for their advantages of complete homozygosity and short breeding cycle length. A key issue in this approach is an efficient screening system to identify haploid kernels from the hybrid kernels crossed with the inducer. At present, haploid kernel selection is carried out manually using the"red-crown" kernel trait (the haploid kernel has a non-pigmented embryo and pigmented endosperm) controlled by the R1-nj gene. Manual selection is time-consuming and unreliable. Furthermore, the color of the kernel embryo is concealed by the pericarp. Here, we establish a novel approach for identifying maize haploid kernels based on visible (Vis) spectroscopy and support vector machine (SVM) pattern recognition technology. The diffuse transmittance spectra of individual kernels (141 haploid kernels and 141 hybrid kernels from 9 genotypes) were collected using a portable UV-Vis spectrometer and integrating sphere. The raw spectral data were preprocessed using smoothing and vector normalization methods. The desired feature wavelengths were selected based on the results of the Kolmogorov-Smirnov test. The wavelengths with p values above 0. 05 were eliminated because the distributions of absorbance data in these wavelengths show no significant difference between haploid and hybrid kernels. Principal component analysis was then performed to reduce the number of variables. The SVM model was evaluated by 9-fold cross-validation. In each round, samples of one genotype were used as the testing set, while those of other genotypes were used as the training set. The mean rate of correct discrimination was 92.06%. This result demonstrates the feasibility of using Vis spectroscopy to identify haploid maize kernels. The method would help develop a rapid and accurate automated screening-system for haploid kernels. PMID:26978947

  3. The Bolocam Galactic Plane Survey. VIII. A Mid-infrared Kinematic Distance Discrimination Method

    NASA Astrophysics Data System (ADS)

    Ellsworth-Bowers, Timothy P.; Glenn, Jason; Rosolowsky, Erik; Mairs, Steven; Evans, Neal J., II; Battersby, Cara; Ginsburg, Adam; Shirley, Yancy L.; Bally, John

    2013-06-01

    We present a new distance estimation method for dust-continuum-identified molecular cloud clumps. Recent (sub-)millimeter Galactic plane surveys have cataloged tens of thousands of these objects, plausible precursors to stellar clusters, but detailed study of their physical properties requires robust distance determinations. We derive Bayesian distance probability density functions (DPDFs) for 770 objects from the Bolocam Galactic Plane Survey in the Galactic longitude range 7.°5 <= l <= 65°. The DPDF formalism is based on kinematic distances, and uses any number of external data sets to place prior distance probabilities to resolve the kinematic distance ambiguity (KDA) for objects in the inner Galaxy. We present here priors related to the mid-infrared absorption of dust in dense molecular regions and the distribution of molecular gas in the Galactic disk. By assuming a numerical model of Galactic mid-infrared emission and simple radiative transfer, we match the morphology of (sub-)millimeter thermal dust emission with mid-infrared absorption to compute a prior DPDF for distance discrimination. Selecting objects first from (sub-)millimeter source catalogs avoids a bias towards the darkest infrared dark clouds (IRDCs) and extends the range of heliocentric distance probed by mid-infrared extinction and includes lower-contrast sources. We derive well-constrained KDA resolutions for 618 molecular cloud clumps, with approximately 15% placed at or beyond the tangent distance. Objects with mid-infrared contrast sufficient to be cataloged as IRDCs are generally placed at the near kinematic distance. Distance comparisons with Galactic Ring Survey KDA resolutions yield a 92% agreement. A face-on view of the Milky Way using resolved distances reveals sections of the Sagittarius and Scutum-Centaurus Arms. This KDA-resolution method for large catalogs of sources through the combination of (sub-)millimeter and mid-infrared observations of molecular cloud clumps is generally

  4. Two dimensional template matching method for buried object discrimination in GPR data

    NASA Astrophysics Data System (ADS)

    Sezgin, Mehmet

    2009-05-01

    In this study discrimination of two different metallic object classes were studied, utilizing Ground Penetrating Radar (GPR). Feature sets of both classes have almost the same information for both Metal Detector (MD) and GPR data. There were no evident features those are easily discriminate classes. Background removal has been applied to original B-Scan data and then a normalization process was performed. Image thresholding was applied to segment B-Scan GPR images. So, main hyperbolic shape of buried object reflection was extracted and then a morphological process was performed optionally. Templates of each class representatives have been obtained and they were searched whether they match with true class or not. Two data sets were examined experimentally. Actually they were obtained in different time and burial for the same objects. Considerably high discrimination performance was obtained which was not possible by using individual Metal Detector data.

  5. An evaluation of Fourier transforms infrared spectroscopy method for the classification and discrimination of bovine, porcine and fish gelatins.

    PubMed

    Cebi, Nur; Durak, M Zeki; Toker, Omer Said; Sagdic, Osman; Arici, Muhammet

    2016-01-01

    The objective of this research was to develop a rapid spectroscopic technique as an alternative method for the differentiation and authentication of gelatin sources in food products by using attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectra combined with chemometrics. Clear discrimination and classification of all the studied gelatin sources (bovine, porcine, and fish) were achieved by hierarchical cluster and principle component analysis (PCA). Amide-I (1700-1600 cm(-1)) and Amide-II (1565-1520 cm(-1)) spectral bands were used in a chemometric method. Moreover, ATR-FTIR spectral data successfully discriminated pure bovine gelatin from mixture of bovine and porcine gelatins, which is very important for the food industry. The method that we adopted could be beneficial for rapid, simple and economic determination of both gelatin presence and its origin from food products such as yogurt, ice cream, milk dessert or other gelatin containing products such as pharmaceuticals and cosmetics.

  6. Least squares parameter estimation methods for material decomposition with energy discriminating detectors

    SciTech Connect

    Le, Huy Q.; Molloi, Sabee

    2011-01-15

    Purpose: Energy resolving detectors provide more than one spectral measurement in one image acquisition. The purpose of this study is to investigate, with simulation, the ability to decompose four materials using energy discriminating detectors and least squares minimization techniques. Methods: Three least squares parameter estimation decomposition techniques were investigated for four-material breast imaging tasks in the image domain. The first technique treats the voxel as if it consisted of fractions of all the materials. The second method assumes that a voxel primarily contains one material and divides the decomposition process into segmentation and quantification tasks. The third is similar to the second method but a calibration was used. The simulated computed tomography (CT) system consisted of an 80 kVp spectrum and a CdZnTe (CZT) detector that could resolve the x-ray spectrum into five energy bins. A postmortem breast specimen was imaged with flat panel CT to provide a model for the digital phantoms. Hydroxyapatite (HA) (50, 150, 250, 350, 450, and 550 mg/ml) and iodine (4, 12, 20, 28, 36, and 44 mg/ml) contrast elements were embedded into the glandular region of the phantoms. Calibration phantoms consisted of a 30/70 glandular-to-adipose tissue ratio with embedded HA (100, 200, 300, 400, and 500 mg/ml) and iodine (5, 15, 25, 35, and 45 mg/ml). The x-ray transport process was simulated where the Beer-Lambert law, Poisson process, and CZT absorption efficiency were applied. Qualitative and quantitative evaluations of the decomposition techniques were performed and compared. The effect of breast size was also investigated. Results: The first technique decomposed iodine adequately but failed for other materials. The second method separated the materials but was unable to quantify the materials. With the addition of a calibration, the third technique provided good separation and quantification of hydroxyapatite, iodine, glandular, and adipose tissues

  7. Real-time electro-diffusion method to discriminate carbon nanomaterials.

    PubMed

    Bhattacharyya, Tamoghna; Chatterjee, Arumoy; Chatterjee, Budhaditya; Raja, Sufi O; Dasgupta, Anjan Kr

    2015-12-01

    We report both the experimental and theoretical insights of differential electro-diffusion behavior of carbon nanomaterials (e.g. single wall, multiwall carbon nanotubes, and graphene). We thus discriminate one from the other in a soft gel system. The differential mobility of such material depends on their intrinsic properties, both extend and rate of migration bearing the discriminatory signature. The mobility analysis is made by a real time monitoring of the respective bands. PMID:26395102

  8. Development of a digital method for neutron/gamma-ray discrimination based on matched filtering

    NASA Astrophysics Data System (ADS)

    Korolczuk, S.; Linczuk, M.; Romaniuk, R.; Zychor, I.

    2016-09-01

    Neutron/gamma-ray discrimination is crucial for measurements with detectors sensitive to both neutron and gamma-ray radiation. Different techniques to discriminate between neutrons and gamma-rays based on pulse shape analysis are widely used in many applications, e.g., homeland security, radiation dosimetry, environmental monitoring, fusion experiments, nuclear spectroscopy. A common requirement is to improve a radiation detection level with a high detection reliability. Modern electronic components, such as high speed analog to digital converters and powerful programmable digital circuits for signal processing, allow us to develop a fully digital measurement system. With this solution it is possible to optimize digital signal processing algorithms without changing any electronic components in an acquisition signal path. We report on results obtained with a digital acquisition system DNG@NCBJ designed at the National Centre for Nuclear Research. A 2'' × 2'' EJ309 liquid scintillator was used to register mixed neutron and gamma-ray radiation from PuBe sources. A dedicated algorithm for pulse shape discrimination, based on real-time filtering, was developed and implemented in hardware.

  9. Method for discriminating synchronous multiple lung cancers of the same histological type

    PubMed Central

    Zhou, Xudong; Tian, Long; Fan, Jun; Lai, Yutian; Li, Shuangjiang; Che, Guowei; Huang, Jian

    2016-01-01

    Abstract With the development of imaging technology, an increasing number of synchronous multiple lung cancers (SMLCs) have been diagnosed in recent years. Patients with >1 tumor are diagnosed with either synchronous multiple primary lung cancers (SMPLCs) or other primary tumors and metastases. Clinical guidelines, histological characteristics, and molecular diagnostics have been used to discriminate SMPLCs from other multiple lung cancers. However, there is still ambiguity in the diagnosis of SMPLCs of the same histological type. We enrolled 24 patients with the same histological type of SMLCs and assessed their status using established clinical guidelines, comprehensive histological subtyping, and molecular analysis. The sum value of the differential microRNA (miRNA) expression profiles (ΔΔCt) with matched tumors was evaluated to discriminate SMPLCs of the same histological type from metastases. Twelve patients with lymph node metastases were included for comparison, and the sum value of the ΔΔCt of 5 miRNAs between primary tumors and lymph node metastases was <9. Patients definitively diagnosed with SMPLCs by integrated analysis were also classified as SMPLCs by miRNA analysis; 6 patients showed conflicting diagnoses by integrated and miRNA analysis and 14 were given the same classification. Analysis of miRNA expression profiles is considered to be a useful tool for discriminating SMPLCs from intrapulmonary metastases. PMID:27495091

  10. Development of a Novel Allele-Specific PCR Method for Rapid Assessment of Nervous Necrosis Virus Genotypes.

    PubMed

    Toubanaki, Dimitra K; Margaroni, Maritsa; Karagouni, Evdokia

    2015-11-01

    Viral nervous necrosis infections are causing severe problems on aquaculture industry due to ecological and economic impacts. Their causal agent is nervous necrosis virus or nodavirus, which has been classified into four genotypes. Different genotypes correlate with differences in viral pathogenicity. Therefore, rational development of effective vaccines and diagnostic reagents requires analysis of the genetic variation. The development and validation of a polymerase chain reaction amplification (PCR)-based methodology for nodavirus genotype assessment in a simple and robust format is described. Degenerate external primers and two genotype-specific internal primers were utilized for simultaneous amplification of nodavirus products in a single PCR. A first set of cycles produced a long PCR product, defined by the outer primers, and the internal primers amplified short DNA fragments specific for each genotype in lower annealing temperature. Detection was based on the size of the short products. Nodavirus infected and healthy samples were analyzed and none of the non-infected samples showed any bands, while all infected samples were positive. The proposed method can be performed within 4 h and consumes standard PCR and electrophoresis reagents, with costs lower than 2€ per sample. Tetra-primer PCR is a suitable alternative for virus sequencing in medium scale research laboratories and farming facilities. PMID:26210900

  11. Development of a Novel Allele-Specific PCR Method for Rapid Assessment of Nervous Necrosis Virus Genotypes.

    PubMed

    Toubanaki, Dimitra K; Margaroni, Maritsa; Karagouni, Evdokia

    2015-11-01

    Viral nervous necrosis infections are causing severe problems on aquaculture industry due to ecological and economic impacts. Their causal agent is nervous necrosis virus or nodavirus, which has been classified into four genotypes. Different genotypes correlate with differences in viral pathogenicity. Therefore, rational development of effective vaccines and diagnostic reagents requires analysis of the genetic variation. The development and validation of a polymerase chain reaction amplification (PCR)-based methodology for nodavirus genotype assessment in a simple and robust format is described. Degenerate external primers and two genotype-specific internal primers were utilized for simultaneous amplification of nodavirus products in a single PCR. A first set of cycles produced a long PCR product, defined by the outer primers, and the internal primers amplified short DNA fragments specific for each genotype in lower annealing temperature. Detection was based on the size of the short products. Nodavirus infected and healthy samples were analyzed and none of the non-infected samples showed any bands, while all infected samples were positive. The proposed method can be performed within 4 h and consumes standard PCR and electrophoresis reagents, with costs lower than 2€ per sample. Tetra-primer PCR is a suitable alternative for virus sequencing in medium scale research laboratories and farming facilities.

  12. [Study on identification of cistanche hebra and its adulterants by PCR amplification of specific alleles based on ITS sequences].

    PubMed

    Li, Zhen-Hua; Long, Ping; Zou, De-Zhi; Li, Yue; Cui, Zhan-Hu; Li, Min-Hui

    2014-10-01

    To explore the new method of discriminating Cistanche deserticola, Cynomorium songaricum and Orobanche pycnostachya by using PCR amplification of specific alleles. 30 samples of the different C. deserticola, 21 samples of C. songaricum and O. pycnostachya were collected. The total DNA of the samples were extracted, the ITS sequences from C. deserticola, C. songaricum and O. pycnostachya were amplified by PCR and sequenced unidirectionally. These sequences were aligned by using ClustulW. Specific primer was designed according to the ITS sequences of specific alleles, and PCR reaction system was optimized. Additionally, compare with the identification of specific PCR method and DNA sequence analysis method. The result showed that the 331 bp identification band for C. deserticola and the adulterants not amplified bands by a single PCR reaction, which showed good identification ability to the three species. PCR amplification of specific alleles can be used to identify C. deserticola, C. songaricum and O. pycnostachya successfully.

  13. Stable isotope analysis of plant-derived nitrate - novel method for discrimination between organically and conventionally grown vegetables.

    PubMed

    Mihailova, A; Pedentchouk, N; Kelly, S D

    2014-07-01

    The lack of reliable markers for the discrimination between organic and conventional products makes the organic food market susceptible to attempted fraud. Robust analytical methodologies for organic food authentication are urgently needed. In this study a new approach, compound-specific nitrogen and oxygen isotope analysis of plant-derived nitrate, has been applied alongside bulk nitrogen isotope analysis for discrimination between organically and conventionally greenhouse-grown lettuce and retail potatoes and tomatoes. The method revealed significant differences between conventional and organic fertilisation. An intra-plant isotopic variation as well as significant impact of the fertiliser application rate on the nitrogen and oxygen isotope values of plant-derived nitrate has been observed. Nitrogen and oxygen isotope analysis of nitrate has a potential for differentiation between organic and conventional crops. Further analysis is needed to improve our understanding of the scope of application and robustness of this compound-specific approach. PMID:24518338

  14. Stable isotope analysis of plant-derived nitrate - novel method for discrimination between organically and conventionally grown vegetables.

    PubMed

    Mihailova, A; Pedentchouk, N; Kelly, S D

    2014-07-01

    The lack of reliable markers for the discrimination between organic and conventional products makes the organic food market susceptible to attempted fraud. Robust analytical methodologies for organic food authentication are urgently needed. In this study a new approach, compound-specific nitrogen and oxygen isotope analysis of plant-derived nitrate, has been applied alongside bulk nitrogen isotope analysis for discrimination between organically and conventionally greenhouse-grown lettuce and retail potatoes and tomatoes. The method revealed significant differences between conventional and organic fertilisation. An intra-plant isotopic variation as well as significant impact of the fertiliser application rate on the nitrogen and oxygen isotope values of plant-derived nitrate has been observed. Nitrogen and oxygen isotope analysis of nitrate has a potential for differentiation between organic and conventional crops. Further analysis is needed to improve our understanding of the scope of application and robustness of this compound-specific approach.

  15. Novel method based on chromogenic media for discrimination and selective enumeration of lactic acid bacteria in fermented milk products.

    PubMed

    Galat, Anna; Dufresne, Jérôme; Combrisson, Jérôme; Thépaut, Jérôme; Boumghar-Bourtchai, Leyla; Boyer, Mickaël; Fourmestraux, Candice

    2016-05-01

    Microbial analyses of fermented milk products require selective methods to discriminate between close species simultaneously present in high amounts. A culture-based method combining novel chromogenic agar media and appropriate incubation conditions was developed to enumerate lactic acid bacteria (LAB) strains in fermented milk. M1 agar, containing two chromogenic substrates, allowed selective enumeration of Lactobacillus rhamnosus, two strains of Lactobacillus paracasei subsp. paracasei and Streptococcus salivarius subsp. thermophilus based on differential β-galactosidase and β-glucosidase activities. Depending on the presence of some or all of the above strains, M1 agar was supplemented with L-rhamnose or vancomycin and incubations were carried out at 37 °C or 44 °C to increase selectivity. A second agar medium, M2, containing one chromogenic substrates was used to selectively enumerate β-galactosidase producing Lactobacillus delbrueckii subsp. bulgaricus at 47 °C. By contrast with the usual culture media, the chromogenic method allowed unambiguous enumeration of each species, including discrimination between the two L. paracasei, up to 10(9) CFU/g of fermented milk. In addition, the relevance of the method was approved by enumerating reference ATCC strains in pure cultures and fermented milk product. The method could also be used for enumerations on non-Danone commercial fermented milk products containing strains different from those used in this study, showing versatility of the method. To our knowledge, this is the first description of a chromogenic culture method applied to selective enumeration of LAB.

  16. Novel method based on chromogenic media for discrimination and selective enumeration of lactic acid bacteria in fermented milk products.

    PubMed

    Galat, Anna; Dufresne, Jérôme; Combrisson, Jérôme; Thépaut, Jérôme; Boumghar-Bourtchai, Leyla; Boyer, Mickaël; Fourmestraux, Candice

    2016-05-01

    Microbial analyses of fermented milk products require selective methods to discriminate between close species simultaneously present in high amounts. A culture-based method combining novel chromogenic agar media and appropriate incubation conditions was developed to enumerate lactic acid bacteria (LAB) strains in fermented milk. M1 agar, containing two chromogenic substrates, allowed selective enumeration of Lactobacillus rhamnosus, two strains of Lactobacillus paracasei subsp. paracasei and Streptococcus salivarius subsp. thermophilus based on differential β-galactosidase and β-glucosidase activities. Depending on the presence of some or all of the above strains, M1 agar was supplemented with L-rhamnose or vancomycin and incubations were carried out at 37 °C or 44 °C to increase selectivity. A second agar medium, M2, containing one chromogenic substrates was used to selectively enumerate β-galactosidase producing Lactobacillus delbrueckii subsp. bulgaricus at 47 °C. By contrast with the usual culture media, the chromogenic method allowed unambiguous enumeration of each species, including discrimination between the two L. paracasei, up to 10(9) CFU/g of fermented milk. In addition, the relevance of the method was approved by enumerating reference ATCC strains in pure cultures and fermented milk product. The method could also be used for enumerations on non-Danone commercial fermented milk products containing strains different from those used in this study, showing versatility of the method. To our knowledge, this is the first description of a chromogenic culture method applied to selective enumeration of LAB. PMID:26742619

  17. Assessment of SNaPshot and single step RT-qPCR methods for discriminating Potato virus Y (PVY) subgroups.

    PubMed

    Rupar, Matevž; Kogovšek, Polona; Pompe-Novak, Maruša; Gutiérrez-Aguirre, Ion; Delaunay, Agnes; Jacquot, Emmanuel; Ravnikar, Maja

    2013-04-01

    Potato virus Y (PVY) is the most important virus infecting potato (Solanum tuberosum), causing potato tuber necrotic ringspot disease (PTNRD), with a great impact on seed potato production. Numerous PVY strain groups with different pathogenicity and economical impact are distributed worldwide. Tools for accurate and reliable detection and discrimination of PVY strain groups are therefore essential for successful disease management. Two state of the art characterization tools based on detecting molecular markers - RT-qPCR (Kogovsek et al., 2008) and SNaPshot (Rolland et al., 2008) - were assessed for their ability to assign PVY accurately to the correct group. The results were validated by bioassay, ELISA and in silico sequence analysis. The spectrum of PVY strain groups distinguished by SNaPshot is broader than that by RT-qPCR. However, the latter was more reliable in discriminating the PVY(NTN) group members, known for their ability to induce PTNRD on selected potato cultivars. The difference in discrimination precision was due to different molecular markers being targeted by RT-qPCR and SNaPshot. Both tools use genotypic markers for detecting PVY(NTN) strain groups. Future development, however, should be focused on identifying the genomic determinants of the tuber necrosis property. Until then, the RT-qPCR and SNaPshot methods remain the most powerful diagnostic tools for detecting the PVY subgroup isolates found in Europe. PMID:23396125

  18. The Burden of JAK2V617F Mutated Allele in Turkish Patients With Myeloproliferative Neoplasms

    PubMed Central

    Yonal-Hindilerden, Ipek; Daglar-Aday, Aynur; Akadam-Teker, Basak; Yilmaz, Ceylan; Nalcaci, Meliha; Yavuz, Akif Selim; Sargin, Deniz

    2015-01-01

    Background Studies regarding the impact of JAK2V617F allele burden on phenotypic properties and clinical course in Philadelphia-negative myeloproliferative neoplasms (Ph-negative MPNs) have reported variable results. We aimed to analyze the association of mutated JAK2V617F allele burden with laboratory characteristics and clinical phenotype in Turkish patients (107 essential thrombocythemia (ET) and 77 primary myelofibrosis (PMF)). Methods Peripheral blood samples of 184 patients with Ph-negative MPNs were analyzed for JAK2V617F allele status and burden. JAK2 MutaScreen assay (Ipsogen, Luminy Biotech, Marseille, France) was used to detect the JAK2V617F status and quantitative JAK2V617F allele burdens in genomic DNA using TaqMan allelic discrimination. Results Frequency of JAK2V617F-positive patients with high mutation load (allele burden > 50%) was higher in PMF compared to ET (23.4% and 4.7%, respectively; P = 0.001). We found significant association between ET patients with high JAK2V617F allele burden and lower hemoglobin (Hgb) and hematocrit (Hct), higher LDH levels and more prevalent massive splenomegaly (P = 0.001, P = 0.001, P = 0.012 and P = 0.015, respectively). ET patients with high mutation load displayed higher prevalence of bleeding compared to low mutation load and wild-type mutational status (P = 0.003). Rate of DVT was significantly higher in ET patients with mutant allele burden in upper half compared to lower half and wild-type (P = 0.029). We observed significant association between PMF patients with high JAK2V617F allele burden and higher Hgb, Hct levels and leukocyte counts (P = 0.003, P = 0.021 and P = 0.001, respectively). Conclusions Our study demonstrated JAK2V617F allele burden correlates with clinical features in ET and PMF. We conclude quantification of JAK2V617F mutation contributes to the workup of Ph-negative MPNs. PMID:25584101

  19. High Resolution Melting Analysis Targeting hsp70 as a Fast and Efficient Method for the Discrimination of Leishmania Species

    PubMed Central

    Zampieri, Ricardo Andrade; Laranjeira-Silva, Maria Fernanda; Muxel, Sandra Marcia; Stocco de Lima, Ana Carolina; Shaw, Jeffrey Jon; Floeter-Winter, Lucile Maria

    2016-01-01

    Background Protozoan parasites of the genus Leishmania cause a large spectrum of clinical manifestations known as Leishmaniases. These diseases are increasingly important public health problems in many countries both within and outside endemic regions. Thus, an accurate differential diagnosis is extremely relevant for understanding epidemiological profiles and for the administration of the best therapeutic protocol. Methods/Principal Findings Exploring the High Resolution Melting (HRM) dissociation profiles of two amplicons using real time polymerase chain reaction (real-time PCR) targeting heat-shock protein 70 coding gene (hsp70) revealed differences that allowed the discrimination of genomic DNA samples of eight Leishmania species found in the Americas, including Leishmania (Leishmania) infantum chagasi, L. (L.) amazonensis, L. (L.) mexicana, L. (Viannia) lainsoni, L. (V.) braziliensis, L. (V.) guyanensis, L. (V.) naiffi and L. (V.) shawi, and three species found in Eurasia and Africa, including L. (L.) tropica, L. (L.) donovani and L. (L.) major. In addition, we tested DNA samples obtained from standard promastigote culture, naturally infected phlebotomines, experimentally infected mice and clinical human samples to validate the proposed protocol. Conclusions/Significance HRM analysis of hsp70 amplicons is a fast and robust strategy that allowed for the detection and discrimination of all Leishmania species responsible for the Leishmaniases in Brazil and Eurasia/Africa with high sensitivity and accuracy. This method could detect less than one parasite per reaction, even in the presence of host DNA. PMID:26928050

  20. Development of a simple-material discrimination method with three plastic scintillator strips for visualizing nuclear reactors

    NASA Astrophysics Data System (ADS)

    Takamatsu, k.; Tanaka, h.; Shoji, d.

    2012-04-01

    The Fukushima Daiichi nuclear disaster is a series of equipment failures and nuclear meltdowns, following the T¯o hoku earthquake and tsunami on 11 March 2011. We present a new method for visualizing nuclear reactors. Muon radiography based on the multiple Coulomb scattering of cosmic-ray muons has been performed. In this work, we discuss experimental results obtained with a cost-effective simple detection system assembled with three plastic scintillator strips. Actually, we counted the number of muons that were not largely deflected by restricting the zenith angle in one direction to 0.8o. The system could discriminate Fe, Pb and C. Materials lighter than Pb can be also discriminated with this system. This method only resolves the average material distribution along the muon path. Therefore the user must make assumptions or interpretations about the structure, or must use more than one detector to resolve the three dimensional material distribution. By applying this method to time-dependent muon radiography, we can detect changes with time, rendering the method suitable for real-time monitoring applications, possibly providing useful information about the reaction process in a nuclear reactor such as burnup of fuels. In nuclear power technology, burnup (also known as fuel utilization) is a measure of how much energy is extracted from a primary nuclear fuel source. Monitoring the burnup of fuels as a nondestructive inspection technique can contribute to safer operation. In nuclear reactor, the total mass is conserved so that the system cannot be monitored by conventional muon radiography. A plastic scintillator is relatively small and easy to setup compared to a gas or layered scintillation system. Thus, we think this simple radiographic method has the potential to visualize a core directly in cases of normal operations or meltdown accidents. Finally, we considered only three materials as a first step in this work. Further research is required to improve the

  1. Detection of Fusarium oxysporum f. sp. vasinfectum race 3 by single-base extension method and allele-specific polymerase chain reaction

    Technology Transfer Automated Retrieval System (TEKTRAN)

    We developed allele specific (AS) SNP primers for rapid detection of Fusarium oxysporum f.sp vasinfectum (FOV) race 3. FOV_BT_SNP_R3 and FOV_BT_AS_R3 primers were designed based on single nucleotide polymorphisms of partial sequence alignment of the ß-tubulin (BT) gene from several FOV races. These ...

  2. Reliability and Discriminative Ability of a New Method for Soccer Kicking Evaluation.

    PubMed

    Radman, Ivan; Wessner, Barbara; Bachl, Norbert; Ruzic, Lana; Hackl, Markus; Baca, Arnold; Markovic, Goran

    2016-01-01

    The study aimed to evaluate the test-retest reliability of a newly developed 356 Soccer Shooting Test (356-SST), and the discriminative ability of this test with respect to the soccer players' proficiency level and leg dominance. Sixty-six male soccer players, divided into three groups based on their proficiency level (amateur, n = 24; novice semi-professional, n = 18; and experienced semi-professional players, n = 24), performed 10 kicks following a two-step run up. Forty-eight of them repeated the test on a separate day. The following shooting variables were derived: ball velocity (BV; measured via radar gun), shooting accuracy (SA; average distance from the ball-entry point to the goal centre), and shooting quality (SQ; shooting accuracy divided by the time elapsed from hitting the ball to the point of entry). No systematic bias was evident in the selected shooting variables (SA: 1.98±0.65 vs. 2.00±0.63 m; BV: 24.6±2.3 vs. 24.5±1.9 m s-1; SQ: 2.92±1.0 vs. 2.93±1.0 m s-1; all p>0.05). The intra-class correlation coefficients were high (ICC = 0.70-0.88), and the coefficients of variation were low (CV = 5.3-5.4%). Finally, all three 356-SST variables identify, with adequate sensitivity, differences in soccer shooting ability with respect to the players' proficiency and leg dominance. The results suggest that the 356-SST is a reliable and sensitive test of specific shooting ability in men's soccer. Future studies should test the validity of these findings in a fatigued state, as well as in other populations.

  3. Reliability and Discriminative Ability of a New Method for Soccer Kicking Evaluation

    PubMed Central

    Radman, Ivan; Wessner, Barbara; Bachl, Norbert; Ruzic, Lana; Hackl, Markus; Baca, Arnold; Markovic, Goran

    2016-01-01

    The study aimed to evaluate the test–retest reliability of a newly developed 356 Soccer Shooting Test (356-SST), and the discriminative ability of this test with respect to the soccer players' proficiency level and leg dominance. Sixty-six male soccer players, divided into three groups based on their proficiency level (amateur, n = 24; novice semi-professional, n = 18; and experienced semi-professional players, n = 24), performed 10 kicks following a two-step run up. Forty-eight of them repeated the test on a separate day. The following shooting variables were derived: ball velocity (BV; measured via radar gun), shooting accuracy (SA; average distance from the ball-entry point to the goal centre), and shooting quality (SQ; shooting accuracy divided by the time elapsed from hitting the ball to the point of entry). No systematic bias was evident in the selected shooting variables (SA: 1.98±0.65 vs. 2.00±0.63 m; BV: 24.6±2.3 vs. 24.5±1.9 m s-1; SQ: 2.92±1.0 vs. 2.93±1.0 m s-1; all p>0.05). The intra-class correlation coefficients were high (ICC = 0.70–0.88), and the coefficients of variation were low (CV = 5.3–5.4%). Finally, all three 356-SST variables identify, with adequate sensitivity, differences in soccer shooting ability with respect to the players' proficiency and leg dominance. The results suggest that the 356-SST is a reliable and sensitive test of specific shooting ability in men’s soccer. Future studies should test the validity of these findings in a fatigued state, as well as in other populations. PMID:26812247

  4. Reliability and Discriminative Ability of a New Method for Soccer Kicking Evaluation.

    PubMed

    Radman, Ivan; Wessner, Barbara; Bachl, Norbert; Ruzic, Lana; Hackl, Markus; Baca, Arnold; Markovic, Goran

    2016-01-01

    The study aimed to evaluate the test-retest reliability of a newly developed 356 Soccer Shooting Test (356-SST), and the discriminative ability of this test with respect to the soccer players' proficiency level and leg dominance. Sixty-six male soccer players, divided into three groups based on their proficiency level (amateur, n = 24; novice semi-professional, n = 18; and experienced semi-professional players, n = 24), performed 10 kicks following a two-step run up. Forty-eight of them repeated the test on a separate day. The following shooting variables were derived: ball velocity (BV; measured via radar gun), shooting accuracy (SA; average distance from the ball-entry point to the goal centre), and shooting quality (SQ; shooting accuracy divided by the time elapsed from hitting the ball to the point of entry). No systematic bias was evident in the selected shooting variables (SA: 1.98±0.65 vs. 2.00±0.63 m; BV: 24.6±2.3 vs. 24.5±1.9 m s-1; SQ: 2.92±1.0 vs. 2.93±1.0 m s-1; all p>0.05). The intra-class correlation coefficients were high (ICC = 0.70-0.88), and the coefficients of variation were low (CV = 5.3-5.4%). Finally, all three 356-SST variables identify, with adequate sensitivity, differences in soccer shooting ability with respect to the players' proficiency and leg dominance. The results suggest that the 356-SST is a reliable and sensitive test of specific shooting ability in men's soccer. Future studies should test the validity of these findings in a fatigued state, as well as in other populations. PMID:26812247

  5. Fluorescence techniques as suitable methods to discriminate wheat genotypes under drought and high-temperature conditions

    NASA Astrophysics Data System (ADS)

    Balota, Maria; Sowinska, Malgorzata; Buschmann, Claus; Lichtenthaler, Hartmut K.; Heisel, Francine; Babani, Fardbardha

    1999-05-01

    The chlorophyll fluorescence parameters Fv/Fo and Fd/Fs (equals Rfd690), related to the quantum conversion capacity at dark-adapted and light-adapted state of the photosynthetic apparatus respectively, have been evaluated as possible indicators of drought and heat tolerance in winter wheat. The measurements were carried out on primary leaves of 8-day old seedlings. Rfd values decreased in 8 days by 20% (p less than or equal to 0.01) only under severe water limitation and for the drought susceptible genotype. The photosynthetic apparatus was more sensitive to high temperature with both ratios, Fv/Fo and Rfd690, showing mean decrease (p less than or equal to 0.001) of 27% and 43%, respectively, in 5 days at 35 degrees Celsius. The susceptible cultivars decreased of up to 42% and 65% and the drought and heat tolerant genotypes only 7% and 12% for Fv/Fo and Rfd690, respectively. The Fv/Fo ratio correlated well (p less than or equal to 0.05 and p less than or equal to 0.01) with seedling responses to oxidative and osmotic stresses. The Rfd690-values correlated better with all physiological parameters considered and with the deviations from linear regression of drought susceptibility index DSI (r equals -0.84, p less than or equal to 0.01) on yield potential showing the highest potential to predict drought and heat tolerance. In addition the blue, green, red and far-red fluorescence have been determined using a laser-induced-fluorescence imaging system in entire seedlings of wheat and triticale grown under optimal laboratory conditions. The ratios F690/F740 and F440/F520 correlated well (p less than or equal to 0.05) with the total chlorophyll content (detected by the SPAD-chlorophyll-meter) and the specific leaf dry weight (SLDW) showing the potential of the both fluorescence ratios to discriminate genetic differences between cultivars for these leaf structural sources of water use efficiency (WUE) improvement.

  6. The Pabst's method: an effective and low-budget tool for the forensic comparison of opaque thermoplastics--part 1: Additional discrimination of black electrical tapes.

    PubMed

    Henning, Siegfried; Schönberger, Torsten; Simmross, Ulrich

    2013-12-10

    For many years now, Pabst's micro-press has been used in German forensic science laboratories as a valuable addition to methods of comparative analysis of plastic trace evidence. However, it is as yet hardly known in laboratories outside of Germany. The principal reproducibility is demonstrated by a homogeneity check of a raw backing material of defined origin. The illustrated results of a proficiency test emphasise the applicability of the Pabst method for forensic comparisons. The discrimination power of the Pabst method was tested by taking 90 black PVC-backings provided by the FBI Laboratory, i.e. those that could not be discriminated by standard methods. In this way further discriminations could be achieved. In the following, the Pabst method is therefore introduced as a straightforward, inexpensive and useful tool.

  7. Discrimination Between Clouds and Snow in Landsat 8 Imagery: an Assessment of Current Methods and a New Approach

    NASA Astrophysics Data System (ADS)

    Stillinger, T.; Dozier, J.; Phares, N.; Rittger, K.

    2015-12-01

    Discrimination between snow and clouds poses a serious but tractable challenge to the consistent delivery of high-quality information on mountain snow from remote sensing. Clouds obstruct the surface from the sensor's view, and the similar optical properties of clouds and snow make accurate discrimination difficult. We assess the performance of the current Landsat 8 operational snow and cloud mask products (LDCM CCA and CFmask), along with a new method, using over one million manually identified snow and clouds pixels in Landsat 8 scenes. The new method uses physically based scattering models to generate spectra in each Landsat 8 band, at that scene's solar illumination, for snow and cloud particle sizes that cover the plausible range for each. The modeled spectra are compared to pixels' spectra via several independent ways to identify snow and clouds. The results are synthesized to create a final snow/cloud mask, and the method can be applied to any multispectral imager with bands covering the visible, near-infrared, and shortwave-infrared regions. Each algorithm we tested misidentifies snow and clouds in both directions to varying degrees. We assess performance with measures of Precision, Recall, and the F statistic, which are based on counts of true and false positives and negatives. Tests for significance in differences between spectra in the measured and modeled values among incorrectly identified pixels help ascertain reasons for misidentification. A cloud mask specifically designed to separate snow from clouds is a valuable tool for those interested in remotely sensing snow cover. Given freely available remote sensing datasets and computational tools to feasibly process entire mission histories for an area of interest, enabling researchers to reliably identify and separate snow and clouds increases the usability of the data for hydrological and climatological studies.

  8. Artifactual responses of mesophyll conductance to CO2 and irradiance estimated with the variable J and online isotope discrimination methods

    SciTech Connect

    Gu, Lianhong; Sun, Ying

    2013-01-01

    Studies with the variable J method have reported that mesophyll conductance (gm) rapidly decreases with increasing intercellular CO2 partial pressures (Ci) or decreasing irradiance. Similar responses have been suggested with the online isotope discrimination method, although with less consistency. Here we show that even when the true gm is constant, the variable J method can produce an artifactual dependence of gm on Ci or irradiance similar to those reported in previous studies for any of the following factors: day respiration and chloroplastic CO2 photocompensation point are estimated with Laisk method; Ci or electron transport rate is positively biased; net photosynthetic rate is negatively biased; insufficient NADPH is assumed while insufficient ATP limits RuBP regeneration. The isotopic method produces similar artifacts if fractionation of carboxylation or Ci are positively biased or 13 negatively biased. A nonzero chloroplastic resistance to CO2 movement results in a qualitatively different dependence of gm on Ci or irradiance and this dependence is only sensitive at low Ci. We thus cannot rule out the possibility that previously reported dependence of gm on Ci or irradiance is a methodological artifact. Recommendations are made to take advantage of sensitivities of the variable J and isotopic methods for estimating gm.

  9. Allele-specific H3K79 Di- versus trimethylation distinguishes opposite parental alleles at imprinted regions.

    PubMed

    Singh, Purnima; Han, Li; Rivas, Guillermo E; Lee, Dong-Hoon; Nicholson, Thomas B; Larson, Garrett P; Chen, Taiping; Szabó, Piroska E

    2010-06-01

    Imprinted gene expression corresponds to parental allele-specific DNA CpG methylation and chromatin composition. Histone tail covalent modifications have been extensively studied, but it is not known whether modifications in the histone globular domains can also discriminate between the parental alleles. Using multiplex chromatin immunoprecipitation-single nucleotide primer extension (ChIP-SNuPE) assays, we measured the allele-specific enrichment of H3K79 methylation and H4K91 acetylation along the H19/Igf2 imprinted domain. Whereas H3K79me1, H3K79me2, and H4K91ac displayed a paternal-specific enrichment at the paternally expressed Igf2 locus, H3K79me3 was paternally biased at the maternally expressed H19 locus, including the paternally methylated imprinting control region (ICR). We found that these allele-specific differences depended on CTCF binding in the maternal ICR allele. We analyzed an additional 11 differentially methylated regions (DMRs) and found that, in general, H3K79me3 was associated with the CpG-methylated alleles, whereas H3K79me1, H3K79me2, and H4K91ac enrichment was specific to the unmethylated alleles. Our data suggest that allele-specific differences in the globular histone domains may constitute a layer of the "histone code" at imprinted genes.

  10. Determination and discrimination of biodiesel fuels by gas chromatographic and chemometric methods

    NASA Astrophysics Data System (ADS)

    Milina, R.; Mustafa, Z.; Bojilov, D.; Dagnon, S.; Moskovkina, M.

    2016-03-01

    Pattern recognition method (PRM) was applied to gas chromatographic (GC) data for a fatty acid methyl esters (FAME) composition of commercial and laboratory synthesized biodiesel fuels from vegetable oils including sunflower, rapeseed, corn and palm oils. Two GC quantitative methods to calculate individual fames were compared: Area % and internal standard. The both methods were applied for analysis of two certified reference materials. The statistical processing of the obtained results demonstrates the accuracy and precision of the two methods and allows them to be compared. For further chemometric investigations of biodiesel fuels by their FAME-profiles any of those methods can be used. PRM results of FAME profiles of samples from different vegetable oils show a successful recognition of biodiesels according to the feedstock. The information obtained can be used for selection of feedstock to produce biodiesels with certain properties, for assessing their interchangeability, for fuel spillage and remedial actions in the environment.

  11. Simple discrimination method between False Acoustic Emission and Acoustic Emission revealed by piezoelectric sensors, in Gran Sasso mountain measurements (L)

    NASA Astrophysics Data System (ADS)

    Diodati, Paolo; Piazza, Stefano

    2004-07-01

    Recently it was shown, studying data acquired with in-situ measurements on the Gran Sasso mountain (Italy), for about ten years, by means of a high sensitivity transducer coupled to the free-end section of a stainless steel rod fixed by cement in a rock-drill hole 10 m high, about 2500 m above sea level, that Acoustic Emission (AE) can be affected by more than 90% False Acoustic Emission (FAE) of an electromagnetic origin. A very simple method to solve the problem of the discrimination between AE events due to elastic waves, from FAE signals, due to electromagnetic noise, both coming from the same ``reception-point,'' is presented. The reliability of the obtained separation is confirmed also by the reported amplitude and time distribution of AE events, typical of fracture dynamics and those of FAE events, similar to those of noise.

  12. Discriminative Common Spatial Pattern Sub-bands Weighting Based on Distinction Sensitive Learning Vector Quantization Method in Motor Imagery Based Brain-computer Interface

    PubMed Central

    Jamaloo, Fatemeh; Mikaeili, Mohammad

    2015-01-01

    Common spatial pattern (CSP) is a method commonly used to enhance the effects of event-related desynchronization and event-related synchronization present in multichannel electroencephalogram-based brain-computer interface (BCI) systems. In the present study, a novel CSP sub-band feature selection has been proposed based on the discriminative information of the features. Besides, a distinction sensitive learning vector quantization based weighting of the selected features has been considered. Finally, after the classification of the weighted features using a support vector machine classifier, the performance of the suggested method has been compared with the existing methods based on frequency band selection, on the same BCI competitions datasets. The results show that the proposed method yields superior results on “ay” subject dataset compared against existing approaches such as sub-band CSP, filter bank CSP (FBCSP), discriminative FBCSP, and sliding window discriminative CSP. PMID:26284171

  13. VHICA, a New Method to Discriminate between Vertical and Horizontal Transposon Transfer: Application to the Mariner Family within Drosophila

    PubMed Central

    Wallau, Gabriel Luz; Capy, Pierre; Loreto, Elgion; Le Rouzic, Arnaud; Hua-Van, Aurélie

    2016-01-01

    Transposable elements (TEs) are genomic repeated sequences that display complex evolutionary patterns. They are usually inherited vertically, but can occasionally be transmitted between sexually independent species, through so-called horizontal transposon transfers (HTTs). Recurrent HTTs are supposed to be essential in life cycle of TEs, which are otherwise destined for eventual decay. HTTs also impact the host genome evolution. However, the extent of HTTs in eukaryotes is largely unknown, due to the lack of efficient, statistically supported methods that can be applied to multiple species sequence data sets. Here, we developed a new automated method available as a R package “vhica” that discriminates whether a given TE family was vertically or horizontally transferred, and potentially infers donor and receptor species. The method is well suited for TE sequences extracted from complete genomes, and applicable to multiple TEs and species at the same time. We first validated our method using Drosophila TE families with well-known evolutionary histories, displaying both HTTs and vertical transmission. We then tested 26 different lineages of mariner elements recently characterized in 20 Drosophila genomes, and found HTTs in 24 of them. Furthermore, several independent HTT events could often be detected within the same mariner lineage. The VHICA (Vertical and Horizontal Inheritance Consistence Analysis) method thus appears as a valuable tool to analyze the evolutionary history of TEs across a large range of species. PMID:26685176

  14. Application of attribute weighting method based on clustering centers to discrimination of linearly non-separable medical datasets.

    PubMed

    Polat, Kemal

    2012-08-01

    In this paper, attribute weighting method based on the cluster centers with aim of increasing the discrimination between classes has been proposed and applied to nonlinear separable datasets including two medical datasets (mammographic mass dataset and bupa liver disorders dataset) and 2-D spiral dataset. The goals of this method are to gather the data points near to cluster center all together to transform from nonlinear separable datasets to linear separable dataset. As clustering algorithm, k-means clustering, fuzzy c-means clustering, and subtractive clustering have been used. The proposed attribute weighting methods are k-means clustering based attribute weighting (KMCBAW), fuzzy c-means clustering based attribute weighting (FCMCBAW), and subtractive clustering based attribute weighting (SCBAW) and used prior to classifier algorithms including C4.5 decision tree and adaptive neuro-fuzzy inference system (ANFIS). To evaluate the proposed method, the recall, precision value, true negative rate (TNR), G-mean1, G-mean2, f-measure, and classification accuracy have been used. The results have shown that the best attribute weighting method was the subtractive clustering based attribute weighting with respect to classification performance in the classification of three used datasets. PMID:21611787

  15. Hansa: an automated method for discriminating disease and neutral human nsSNPs.

    PubMed

    Acharya, Vishal; Nagarajaram, Hampapathalu A

    2012-02-01

    Variations are mostly due to nonsynonymous single nucleotide polymorphisms (nsSNPs), some of which are associated with certain diseases. Phenotypic effects of a large number of nsSNPs have not been characterized. Although several methods have been developed to predict the effects of nsSNPs as "disease" or "neutral," there is still a need for development of methods with improved prediction accuracies. We, therefore, developed a support vector machine (SVM) based method named Hansa which uses a novel set of discriminatory features to classify nsSNPs into disease (pathogenic) and benign (neutral) types. Validation studies on a benchmark dataset and further on an independent dataset of well-characterized known disease and neutral mutations show that Hansa outperforms the other known methods. For example, fivefold cross-validation studies using the benchmark HumVar dataset reveal that at the false positive rate (FPR) of 20% Hansa yields a true positive rate (TPR) of 82% that is about 10% higher than the best-known method. Hansa is available in the form of a web server at http://hansa.cdfd.org.in:8080.

  16. Hybrid random walk-linear discriminant analysis method for unwrapping quantitative phase microscopy images of biological samples

    PubMed Central

    Kim, Diane N. H.; Teitell, Michael A.; Reed, Jason; Zangle, Thomas A.

    2015-01-01

    Abstract. Standard algorithms for phase unwrapping often fail for interferometric quantitative phase imaging (QPI) of biological samples due to the variable morphology of these samples and the requirement to image at low light intensities to avoid phototoxicity. We describe a new algorithm combining random walk-based image segmentation with linear discriminant analysis (LDA)-based feature detection, using assumptions about the morphology of biological samples to account for phase ambiguities when standard methods have failed. We present three versions of our method: first, a method for LDA image segmentation based on a manually compiled training dataset; second, a method using a random walker (RW) algorithm informed by the assumed properties of a biological phase image; and third, an algorithm which combines LDA-based edge detection with an efficient RW algorithm. We show that the combination of LDA plus the RW algorithm gives the best overall performance with little speed penalty compared to LDA alone, and that this algorithm can be further optimized using a genetic algorithm to yield superior performance for phase unwrapping of QPI data from biological samples. PMID:26305212

  17. Automated Test Case Generator for Phishing Prevention Using Generative Grammars and Discriminative Methods

    ERIC Educational Resources Information Center

    Palka, Sean

    2015-01-01

    This research details a methodology designed for creating content in support of various phishing prevention tasks including live exercises and detection algorithm research. Our system uses probabilistic context-free grammars (PCFG) and variable interpolation as part of a multi-pass method to create diverse and consistent phishing email content on…

  18. Evans Blue as a Simple Method to Discriminate Mosquitoes’ Feeding Choice on Small Laboratory Animals

    PubMed Central

    Maciel, Ceres; Fujita, André; Gueroni, Daniele I.; Ramos, Anderson D.; Capurro, Margareth L.; Sá-Nunes, Anderson

    2014-01-01

    Background Temperature, humidity, vision, and particularly odor, are external cues that play essential roles to mosquito blood feeding and oviposition. Entomological and behavioral studies employ well-established methods to evaluate mosquito attraction or repellency and to identify the source of the blood meal. Despite the efficacy of such methods, the costs involved in the production or acquisition of all parts, components and the chemical reagents involved are unaffordable for most researchers from poor countries. Thus, a simple and relatively low-cost method capable of evaluating mosquito preferences and the blood volume ingested is desirable. Principal Findings By using Evans blue (EB) vital dye and few standard laboratory supplies, we developed and validated a system capable of evaluating mosquito’s choice between two different host sources of blood. EB-injected and PBS-injected mice submitted to a number of situations were placed side by side on the top of a rounded recipient covered with tulle fabric and containing Aedes aegypti mosquitoes. Homogenates from engorged mosquitoes clearly revealed the blood source (EB- or PBS-injected host), either visually or spectrometrically. This method was able to estimate the number of engorded mosquitoes, the volume of blood ingested, the efficacy of a commercial repellent and the attractant effects of black color and human sweat. Significance Despite the obvious limitations due to its simplicity and to the dependence of a live source of blood, the present method can be used to assess a number of host variables (diet, aging, immunity, etc) and optimized for several aspects of mosquito blood feeding and vector-host interactions. Thus, it is proposed as an alternative to field studies, and it could be used for initial screenings of chemical compound candidates for repellents or attractants, since it replicates natural conditions of exposure to mosquitoes in a laboratory environment. PMID:25333369

  19. An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques

    PubMed Central

    Sui, Jing; Adali, Tülay; Pearlson, Godfrey D.; Calhoun, Vince D.

    2013-01-01

    Extraction of relevant features from multitask functional MRI (fMRI) data in order to identify potential biomarkers for disease, is an attractive goal. In this paper, we introduce a novel feature-based framework, which is sensitive and accurate in detecting group differences (e.g. controls vs. patients) by proposing three key ideas. First, we integrate two goal-directed techniques: coefficient-constrained independent component analysis (CC-ICA) and principal component analysis with reference (PCA-R), both of which improve sensitivity to group differences. Secondly, an automated artifact-removal method is developed for selecting components of interest derived from CC-ICA, with an average accuracy of 91%. Finally, we propose a strategy for optimal feature/component selection, aiming to identify optimal group-discriminative brain networks as well as the tasks within which these circuits are engaged. The group-discriminating performance is evaluated on 15 fMRI feature combinations (5 single features and 10 joint features) collected from 28 healthy control subjects and 25 schizophrenia patients. Results show that a feature from a sensorimotor task and a joint feature from a Sternberg working memory (probe) task and an auditory oddball (target) task are the top two feature combinations distinguishing groups. We identified three optimal features that best separate patients from controls, including brain networks consisting of temporal lobe, default mode and occipital lobe circuits, which when grouped together provide improved capability in classifying group membership. The proposed framework provides a general approach for selecting optimal brain networks which may serve as potential biomarkers of several brain diseases and thus has wide applicability in the neuroimaging research community. PMID:19457398

  20. Fast discrimination of danshen from different geographical areas by NIR spectroscopy and advanced cluster analysis method

    NASA Astrophysics Data System (ADS)

    Li, Ning; Wang, Yan; Xu, Kexin

    2006-09-01

    Near infrared (NIR) diffuse reflection spectroscopy has been an effective way to perform quantitative analysis without the requirement of sample pretreatnient. In this paper, NIR Fourier transform infrared (FTIR) spectroscopy has been introduced to probe spectral features of traditional Chinese medicine Danshen. Infrared fingerprint spectra of Danshen can be established. Influence of differentiation of spectrum is also discussed. After pretreatment and derivation on the spectral data, methods of principal analysis (PCA), soft independent modeling of class analogy (SIMCA) and Artificial Neural Network (ANN) are combined to sort the geographical origins of 53 samples by local modeling. The result show that, as a basis of the other two methods, PCA is a more efficient one for identifying the geographical origins of Danshen. Combining SIMCA with PCA, an effective model is built to analyze the data after normalization and differentiation, the correct identification rate reaches above 90%. Then 36 samples are chosen as training set while other 17 samples being verifying set. Using ANN-based Back Propagation method, after proper training of BP network, the origins of Danshen are completely classified. Therefore, combined with advanced mathematical analysis, NIR diffuse spectroscopy can be a novel and rapid way to accurately evaluate the origin of Chinese medicine, and also to accelerate the modernization process of Chinese drugs.

  1. Numerical Methods in Electromagnetics: Evanescent Nanometry for DNA Sequencing, and EM Induction for UXO Detection and Discrimination

    NASA Astrophysics Data System (ADS)

    Bijamov, Alex

    The main goals of this work are to extend forward and apply inverse EM numerical methods to enhance the fundamental understanding of ultra-wideband frequency range EM fields in complex geometries. The particular emphases are made on medical device development for whole human genome sequencing using force spectroscopy; and underwater target detection, and live sites UXO discrimination. Force spectroscopy is a powerful technique used to manipulate single biomolecules and study their interactions. In these experiments one end of a macromolecule is immobilized on a substrate, while its free end is attached to an externally-manipulated microscopic bead. Crucial to the application of force spectroscopy to DNA sequencing is the ability to apply pulling forces reaching hundreds of pico-Newtons and image molecular extensions with sub-nanometer resolution. To achieve both goals the behavior of EM fields in the vicinity of the beads and the associated far fields need to be investigated using numerical simulations. In recent years our group has developed a numerical technique---the Method of Auxiliary Sources---which was modified here for these problems. In this work the physics of bead scattering and fluorescent responses is studied for a variety of bead and substrate compositions and geometries, including layered structures, to understand their potential in increasing imaging sensitivity. This thesis also studies the inversion problems related to the underwater UXO detection and live-site UXO discrimination. Rigorous analysis of underlying physics of low-frequency EM field scattering from conducting objects in underwater environments is performed. The effects of seawater surface roughness on transmitted EM signals and the associated noise levels are analyzed. A new, magnetic field-based geolocation system is studied numerically for GPS-denied underwater environments. Finally, the performances of statistical and machine learning methods are analyzed for automatic

  2. Improved neutron-gamma discrimination for a 6Li-glass neutron detector using digital signal analysis methods

    DOE PAGES

    Wang, Cai -Lin; Riedel, Richard A.

    2016-01-14

    A 6Li-glass scintillator (GS20) based neutron Anger camera was developed for time-of-flight single-crystal diffraction instruments at SNS. Traditional pulse-height analysis (PHA) for neutron-gamma discrimination (NGD) resulted in the neutron-gamma efficiency ratio (defined as NGD ratio) on the order of 104. The NGD ratios of Anger cameras need to be improved for broader applications including neutron reflectometers. For this purpose, five digital signal analysis methods of individual waveforms from PMTs were proposed using: i). pulse-amplitude histogram; ii). power spectrum analysis combined with the maximum pulse amplitude; iii). two event parameters (a1, b0) obtained from Wiener filter; iv). an effective amplitude (m)more » obtained from an adaptive least-mean-square (LMS) filter; and v). a cross-correlation (CC) coefficient between an individual waveform and a reference. The NGD ratios can be 1-102 times those from traditional PHA method. A brighter scintillator GS2 has better NGD ratio than GS20, but lower neutron detection efficiency. The ultimate NGD ratio is related to the ambient, high-energy background events. Moreover, our results indicate the NGD capability of neutron Anger cameras can be improved using digital signal analysis methods and brighter neutron scintillators.« less

  3. Improved neutron-gamma discrimination for a (6)Li-glass neutron detector using digital signal analysis methods.

    PubMed

    Wang, C L; Riedel, R A

    2016-01-01

    A (6)Li-glass scintillator (GS20) based neutron Anger camera was developed for time-of-flight single-crystal diffraction instruments at Spallation Neutron Source. Traditional Pulse-Height Analysis (PHA) for Neutron-Gamma Discrimination (NGD) resulted in the neutron-gamma efficiency ratio (defined as NGD ratio) on the order of 10(4). The NGD ratios of Anger cameras need to be improved for broader applications including neutron reflectometers. For this purpose, six digital signal analysis methods of individual waveforms acquired from photomultiplier tubes were proposed using (i) charge integration, (ii) pulse-amplitude histograms, (iii) power spectrum analysis combined with the maximum pulse-amplitude, (iv) two event parameters (a1, b0) obtained from a Wiener filter, (v) an effective amplitude (m) obtained from an adaptive least-mean-square filter, and (vi) a cross-correlation coefficient between individual and reference waveforms. The NGD ratios are about 70 times those from the traditional PHA method. Our results indicate the NGD capabilities of neutron Anger cameras based on GS20 scintillators can be significantly improved with digital signal analysis methods. PMID:26827314

  4. Improved neutron-gamma discrimination for a 6Li-glass neutron detector using digital signal analysis methods

    NASA Astrophysics Data System (ADS)

    Wang, C. L.; Riedel, R. A.

    2016-01-01

    A 6Li-glass scintillator (GS20) based neutron Anger camera was developed for time-of-flight single-crystal diffraction instruments at Spallation Neutron Source. Traditional Pulse-Height Analysis (PHA) for Neutron-Gamma Discrimination (NGD) resulted in the neutron-gamma efficiency ratio (defined as NGD ratio) on the order of 104. The NGD ratios of Anger cameras need to be improved for broader applications including neutron reflectometers. For this purpose, six digital signal analysis methods of individual waveforms acquired from photomultiplier tubes were proposed using (i) charge integration, (ii) pulse-amplitude histograms, (iii) power spectrum analysis combined with the maximum pulse-amplitude, (iv) two event parameters (a1, b0) obtained from a Wiener filter, (v) an effective amplitude (m) obtained from an adaptive least-mean-square filter, and (vi) a cross-correlation coefficient between individual and reference waveforms. The NGD ratios are about 70 times those from the traditional PHA method. Our results indicate the NGD capabilities of neutron Anger cameras based on GS20 scintillators can be significantly improved with digital signal analysis methods.

  5. Quadratic negative evidence discrimination

    SciTech Connect

    Anderson, D.N.; Redgate, T.; Anderson, K.K.; Rohay, A.C.; Ryan, F.M.

    1997-05-01

    This paper develops regional discrimination methods which use information inherent in phase magnitudes that are unmeasurable due to small amplitudes and/or high noise levels. The methods are enhancements to teleseismic techniques proposed by, and are extended to regional discrimination. Events observed at teleseismic distances are effectively identified with the M{sub s} vs m{sub b} discriminant because relative to the pressure wave energy (m{sub b}) of an event, an earthquake generates more shear wave energy (M{sub s}) than does an explosion. For some teleseismic events, the M{sub s} magnitude is difficult to measure and is known only to be below a threshold . With M{sub s} unmeasurable, the M{sub s} vs m{sub b} discriminant cannot be formed. However, if the M{sub s} is sufficiently small relative to a measured m{sub b}, then the event is still likely to be an explosion. The methods presented in this report are developed for a single seismic station, and make use of empirical evidence in the regional L{sub g} vs p{sub g} discriminant. The L{sub g} vs p{sub g} discriminant is analogous to the teleseismic M{sub s} vs m{sub b} discriminant.

  6. Quantitative and discriminative analysis of nucleic acid samples using luminometric nonspecific nanoparticle methods

    NASA Astrophysics Data System (ADS)

    Pihlasalo, S.; Mariani, L.; Härmä, H.

    2016-03-01

    Homogeneous simple assays utilizing luminescence quenching and time-resolved luminescence resonance energy transfer (TR-LRET) were developed for the quantification of nucleic acids without sequence information. Nucleic acids prevent the adsorption of a protein to europium nanoparticles which is detected as a luminescence quenching of europium nanoparticles with a soluble quencher or as a decrease of TR-LRET from europium nanoparticles to the acceptor dye. Contrary to the existing methods based on fluorescent dye binding to nucleic acids, equal sensitivities for both single- (ssDNA) and double-stranded DNA (dsDNA) were measured and a detection limit of 60 pg was calculated for the quenching assay. The average coefficient of variation was 5% for the quenching assay and 8% for the TR-LRET assay. The TR-LRET assay was also combined with a nucleic acid dye selective to dsDNA in a single tube assay to measure the total concentration of DNA and the ratio of ssDNA and dsDNA in the mixture. To our knowledge, such a multiplexed assay is not accomplished with commercially available assays.Homogeneous simple assays utilizing luminescence quenching and time-resolved luminescence resonance energy transfer (TR-LRET) were developed for the quantification of nucleic acids without sequence information. Nucleic acids prevent the adsorption of a protein to europium nanoparticles which is detected as a luminescence quenching of europium nanoparticles with a soluble quencher or as a decrease of TR-LRET from europium nanoparticles to the acceptor dye. Contrary to the existing methods based on fluorescent dye binding to nucleic acids, equal sensitivities for both single- (ssDNA) and double-stranded DNA (dsDNA) were measured and a detection limit of 60 pg was calculated for the quenching assay. The average coefficient of variation was 5% for the quenching assay and 8% for the TR-LRET assay. The TR-LRET assay was also combined with a nucleic acid dye selective to dsDNA in a single tube

  7. TRMM Microwave Radiometer Rain Rate Estimation Method with Convective and Stratiform Discrimination

    NASA Technical Reports Server (NTRS)

    Prabhakara, Cuddapah; Iacovazzi, R.; Weinman, J. A.; Dalu, G.; Einaudi, Franco (Technical Monitor)

    2000-01-01

    Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) radiometer brightness temperature data in the 85 GHz channel (T85) reveal distinct local minima (T85min) in a regional map containing a Mesoscale Convective System (MCS). A map of surface rain rate for that region, deduced from simultaneous measurements made by the Precipitation Radar (PR) on board the TRMM satellite, reveals that these T85min, produced by scattering, correspond to local PR rain maxima. Utilizing the PR rain rate map as a guide, we have developed a TMI algorithm to retrieve convective and stratiform rain. In this algorithm, two parameters are used to classify three kinds of thunderstorms (Cbs) based on the T85 data: a) the magnitude of scattering depression deduced from local T85mi, and b) the mean horizontal gradient of T85 around such minima. Initially, the algorithm is optimized or tuned utilizing the PR and TMI data of a few MCS events. The areal distribution of light (1-10 mm/hr), moderate (10-20 mm/hr), and intense (greater than or equal to 20 mm/hr) rain rates are retrieved on the average with an accuracy of about 15%. Taking advantage of this ability of our retrieval method, one could derive the latent heat input into the atmosphere over the 760 km wide swath of the TMI radiometer in the tropics.

  8. A Non-Destructive Distinctive Method for Discrimination of Automobile Lubricant Variety by Visible and Short-Wave Infrared Spectroscopy

    PubMed Central

    Jiang, Lulu; Liu, Fei; He, Yong

    2012-01-01

    A novel method which is a combination of wavelet packet transform (WPT), uninformative variable elimination by partial least squares (UVE-PLS) and simulated annealing (SA) to extract best variance information among different varieties of lubricants is presented. A total of 180 samples (60 for each variety) were characterized on the basis of visible and short-wave infrared spectroscopy (VIS-SWNIR), and 90 samples (30 for each variety) were randomly selected for the calibration set, whereas, the remaining 90 samples (30 for each variety) were used for the validation set. The spectral data was split into different frequency bands by WPT, and different frequency bands were obtained. SA was employed to look for the best variance band (BVB) among different varieties of lubricants. In order to improve prediction precision further, BVB was processed by UVE-PLS and the optimal cutoff threshold of UVE was found by SA. Finally, five variables were mined, and were set as inputs for a least square-support vector machine (LS-SVM) to build the recognition model. An optimal model with a correlation coefficient (R) of 0.9850 and root mean square error of prediction (RMSEP) of 0.0827 was obtained. The overall results indicated that the method of combining WPT, UVE-PLS and SA was a powerful way to select diagnostic information for discrimination among different varieties of lubricating oil, furthermore, a more parsimonious and efficient LS-SVM model could be obtained. PMID:22737021

  9. A comparison of methods for in situ discrimination of imaged phase boundaries using electrical capacitance tomography

    NASA Astrophysics Data System (ADS)

    Clark, P. J.; Tsoligkas, A. N.; Simmons, M. J. H.; Robbins, P. T.; Stitt, E. H.

    2016-02-01

    The detection of hard boundaries using tomographic techniques is challenging due to the measurement resolution inherent in the hardware and smoothing effects created during image reconstruction. This paper is concerned with the development of data processing approaches which enable the use of electrical capacitance tomography (ECT) in real-time applications to visualise interfaces in liquid/liquid and solid/liquid systems based upon phase permittivity differences in media with a high di-electric continuum. The methodologies developed were applied to a series of phantoms to investigate their validity as a tool for imaging phase boundaries in two and three phase systems. In an ECT based tomogram, the interface between phases is exhibited as a transition region; by applying a threshold technique based upon known areas of each respective phase within the system, the transient region can be resolved into a sharp interface. The image error of a tomogram, defined as the deviation of all pixels from their theoretical value, has been calculated using a pixel-by-pixel approach; however this requires exact a priori knowledge and is unsuitable for in-line application; the areal method used in this paper requires global phase distribution information thereby allowing for real-time application. A range of threshold values were applied to tomograms of phantoms of varying geometry and the corresponding image error for each threshold value calculated using both the areal and pixel-by-pixel approaches given above. The threshold value yielding lowest image error from this range is further used in the binary images giving improved tomograms with approximately 40% increase in image accuracy when compared with a default threshold value. Close to the sensor wall, the image becomes distorted due to reconstruction errors arising from decreased density in the electrical field lines, resulting in a circular phantom appearing elongated by approximately 10% when positioned near the wall.

  10. A TRMM Microwave Radiometer Rain Rate Estimation Method with Convective and Stratiform Discrimination

    NASA Technical Reports Server (NTRS)

    Prabhakara, C.; Iacovazzi, R., Jr.; Weinman, J. A.; Dalu, G.

    1999-01-01

    cases is on the average about 15 %. Taking advantage of this ability of our retrieval method, one could derive the latent heat input into the atmosphere over the 760 km wide swath of the TMI radiometer in the tropics.

  11. Studies of neutron-γ pulse shape discrimination in EJ-309 liquid scintillator using charge integration method

    NASA Astrophysics Data System (ADS)

    Pawełczak, I. A.; Ouedraogo, S. A.; Glenn, A. M.; Wurtz, R. E.; Nakae, L. F.

    2013-05-01

    Pulse shape discrimination capability based on the charge integration has been investigated for liquid scintillator EJ-309. The effectiveness of neutron-γ discrimination in 4-in. diameter and 3-in. thick EJ-309 cells coupled with 3-in. photomultiplier tubes has been carefully studied in the laboratory environment and compared to the commonly used EJ-301 liquid scintillator formulation. Influences of distortions in pulse shape caused by 13.7-m long cables necessary for some remote operations have been examined. The parameter space for an effective neutron-γ discrimination for these assays, such as position and width of a gate used for integration of the delayed light, has been explored.

  12. Allelic loss in colorectal carcinoma

    SciTech Connect

    Kern, S.E.; Fearon, E.R.; Tersmette, K.W.F.; Enterline, J.P.; Vogelstein, B.; Hamilton, S.R. ); Leppert, M.; Nakamura, Yusuke; White, R. )

    1989-06-02

    Clinical and pathological associations with molecular genetic alterations were studied in colorectal carcinomas from 83 patients. Fractional allelic loss, a measure of allelic deletions throughout the genome, and allelic deletions of specific chromosomal arms (the short arm of 17 and long arm of 18) each provided independent prognostic information by multivariate analysis when considered individually with Dukes' classification. Distant metastasis was significantly associated with high fractional allelic loss and with deletions of 17p and 18q. Mutations of ras proto-oncogenes and deletions of 5q had no prognostic importance. Statistically significant associations were also found between allelic losses and a family history of cancer, left-sided tumor location, and absence of extracellular tumor mucin. Allelic deletion analysis thus identified subsets of colorectal carcinoma with increased predilection for distant metastasis and cancer-related death. Further studies may define a subset of genetic alterations that can be used clinically to help assess prognosis.

  13. Genetic Discrimination

    MedlinePlus

    ... Medicine Working Group New Horizons and Research Patient Management Policy and Ethics Issues Quick Links for Patient Care ... genetic discrimination. April 25, 2007, Statement of Administration Policy, Office of Management and Budget Official Statement from the Office of ...

  14. Three allele combinations associated with Multiple Sclerosis

    PubMed Central

    Favorova, Olga O; Favorov, Alexander V; Boiko, Alexey N; Andreewski, Timofey V; Sudomoina, Marina A; Alekseenkov, Alexey D; Kulakova, Olga G; Gusev, Eugenyi I; Parmigiani, Giovanni; Ochs, Michael F

    2006-01-01

    Background Multiple sclerosis (MS) is an immune-mediated disease of polygenic etiology. Dissection of its genetic background is a complex problem, because of the combinatorial possibilities of gene-gene interactions. As genotyping methods improve throughput, approaches that can explore multigene interactions appropriately should lead to improved understanding of MS. Methods 286 unrelated patients with definite MS and 362 unrelated healthy controls of Russian descent were genotyped at polymorphic loci (including SNPs, repeat polymorphisms, and an insertion/deletion) of the DRB1, TNF, LT, TGFβ1, CCR5 and CTLA4 genes and TNFa and TNFb microsatellites. Each allele carriership in patients and controls was compared by Fisher's exact test, and disease-associated combinations of alleles in the data set were sought using a Bayesian Markov chain Monte Carlo-based method recently developed by our group. Results We identified two previously unknown MS-associated tri-allelic combinations: -509TGFβ1*C, DRB1*18(3), CTLA4*G and -238TNF*B1,-308TNF*A2, CTLA4*G, which perfectly separate MS cases from controls, at least in the present sample. The previously described DRB1*15(2) allele, the microsatellite TNFa9 allele and the biallelic combination CCR5Δ32, DRB1*04 were also reidentified as MS-associated. Conclusion These results represent an independent validation of MS association with DRB1*15(2) and TNFa9 in Russians and are the first to find the interplay of three loci in conferring susceptibility to MS. They demonstrate the efficacy of our approach for the identification of complex-disease-associated combinations of alleles. PMID:16872485

  15. Fuzzy Discrimination Analysis Method for Earthquake Energy K-Class Estimation with respect to Local Magnitude Scale

    NASA Astrophysics Data System (ADS)

    Mumladze, T.; Gachechiladze, J.

    2014-12-01

    The purpose of the present study is to establish relation between earthquake energy K-class (the relative energy characteristic) defined as logarithm of seismic waves energy E in joules obtained from analog stations data and local (Richter) magnitude ML obtained from digital seismograms. As for these data contain uncertainties the effective tools of fuzzy discrimination analysis are suggested for subjective estimates. Application of fuzzy analysis methods is an innovative approach to solving a complicated problem of constracting a uniform energy scale through the whole earthquake catalogue, also it avoids many of the data collection problems associated with probabilistic approaches; and it can handle incomplete information, partial inconsistency and fuzzy descriptions of data in a natural way. Another important task is to obtain frequency-magnitude relation based on K parameter, calculation of the Gutenberg-Richter parameters (a, b) and examining seismic activity in Georgia. Earthquake data files are using for periods: from 1985 to 1990 and from 2004 to 2009 for area j=410 - 430.5, l=410 - 470.

  16. A novel and rapid diagnostic method for discriminating between feces of sika deer and Japanese serow by loop-mediated isothermal amplification.

    PubMed

    Aikawa, T; Horino, S; Ichihara, Y

    2015-08-01

    Severe damages to natural vegetation, agriculture, and forestry caused by overpopulation of sika deer (Cervus nippon) have markedly increased in Japan in recent years. To devise a population management plan of sika deer, information on the distribution and population size of the animal in each region is indispensable. An easy and effective method to obtain this information is to count the fecal pellets in the field. However, the habitat of sika deer in Japan overlaps that of Japanese serow (Capricornis crispus). Additionally, it is difficult to discriminate between the feces of both animals. Here, we present a rapid and precise diagnostic method for discriminating between the feces of sika deer and Japanese serow using loop-mediated isothermal amplification (LAMP) targeting cytochrome b gene in the mitochondrial DNA. Our results showed that the LAMP can discriminate between the feces of sika deer and Japanese serow, and the method is simpler and more sensitive than the conventional molecular diagnostic method. Since LAMP method does not require special skills for molecular biology techniques, even the field researchers who have never done a molecular experiment can easily carry out the protocol. In addition, the entire protocol, from DNA extraction from fecal pellet to identification of species, takes only about 75 min and does not require expensive equipment. Hence, this diagnostic method is simple, fast, and accessible to anyone. As such, the method can be a useful tool to estimate distribution and population size of sika deer.

  17. A novel and rapid diagnostic method for discriminating between feces of sika deer and Japanese serow by loop-mediated isothermal amplification.

    PubMed

    Aikawa, T; Horino, S; Ichihara, Y

    2015-08-01

    Severe damages to natural vegetation, agriculture, and forestry caused by overpopulation of sika deer (Cervus nippon) have markedly increased in Japan in recent years. To devise a population management plan of sika deer, information on the distribution and population size of the animal in each region is indispensable. An easy and effective method to obtain this information is to count the fecal pellets in the field. However, the habitat of sika deer in Japan overlaps that of Japanese serow (Capricornis crispus). Additionally, it is difficult to discriminate between the feces of both animals. Here, we present a rapid and precise diagnostic method for discriminating between the feces of sika deer and Japanese serow using loop-mediated isothermal amplification (LAMP) targeting cytochrome b gene in the mitochondrial DNA. Our results showed that the LAMP can discriminate between the feces of sika deer and Japanese serow, and the method is simpler and more sensitive than the conventional molecular diagnostic method. Since LAMP method does not require special skills for molecular biology techniques, even the field researchers who have never done a molecular experiment can easily carry out the protocol. In addition, the entire protocol, from DNA extraction from fecal pellet to identification of species, takes only about 75 min and does not require expensive equipment. Hence, this diagnostic method is simple, fast, and accessible to anyone. As such, the method can be a useful tool to estimate distribution and population size of sika deer. PMID:26084704

  18. Physical profiling and IR spectroscopy: simple and effective methods to discriminate between genuine and counterfeit samples of Viagra® and Cialis®.

    PubMed

    Custers, Deborah; Vandemoortele, Suzanne; Bothy, Jean-Luc; De Beer, Jacques O; Courselle, Patricia; Apers, Sandra; Deconinck, Eric

    2016-01-01

    Counterfeit medicines are a global threat to public health. High amounts enter the European market, enforcing the need for simple techniques to help customs detect these pharmaceuticals. This study focused on physical profiling and IR spectroscopy to obtain a prime discrimination between genuine and illegal Viagra® and Cialis® medicines. Five post-tableting characteristics were explored: colour, mass, long length, short length, and thickness. Hypothesis testing showed that most illegal samples (between 60 and 100%) significantly differ from the genuine medicines, in particular for mass and long length. Classification and Regression Trees (CART) analysis resulted in a good discrimination between genuine and illegal medicines (98.93% correct classification rate for Viagra®, 99.42% for Cialis®). Moreover, CART confirmed the observation that mass and long length are the key physical characteristics which determine the observed discrimination. IR analysis was performed on tablets without blister and on tablets in intact blister. These data were analyzed using Soft Independent Modelling of Class Analogy (SIMCA) and Partial Least Squares - Discriminant Analysis (PLS-DA). Supervised techniques needed to be applied since Principal Component Analysis (PCA) was not able to generate the desired discrimination. Our study shows that a perfect discrimination between genuine and illegal medicines can be made by both SIMCA and PLS-DA without removing the tablets from the blister. This approach has the advantage of keeping the blister intact. Our study demonstrates that these user friendly techniques are reliable methods to aid customs to obtain a prime distinction between genuine and illegal samples on the spot. Copyright © 2015 John Wiley & Sons, Ltd. PMID:26033891

  19. Determination of DQB1 alleles using PCR amplification and allele-specific primers.

    PubMed

    Lepage, V; Ivanova, R; Loste, M N; Mallet, C; Douay, C; Naoumova, E; Charron, D

    1995-10-01

    Molecular genotyping of HLA class II genes is commonly carried out using polymerase chain reaction (PCR) in combination with sequence-specific oligotyping (PCR-SSO) or a combination of the PCR and restriction fragment length polymorphism methods (PCR-RFLP). However, the identification of the DQB1 type by PCR-SSO and PCR-RFLP is very time-consuming which is disadvantageous for the typing of cadaveric organ donors. We have developed a DQB1 typing method using PCR in combination with allele-specific amplification (PCR-ASA), which allows the identification of the 17 most frequent alleles in one step using seven amplification mixtures. PCR allele-specific amplification HLA-DQB1 typing is easy to perform, and the results are easy to interpret in routine clinical practice. The PCR-ASA method is therefore better suited to DQB1 typing for organ transplantation than other methods.

  20. A Novel Method for the Discrimination of Semen Arecae and Its Processed Products by Using Computer Vision, Electronic Nose, and Electronic Tongue

    PubMed Central

    Xu, Min; Yang, Shi-Long; Peng, Wei; Liu, Yu-Jie; Xie, Da-Shuai; Li, Xin-Yi; Wu, Chun-Jie

    2015-01-01

    Areca nut, commonly known locally as Semen Arecae (SA) in China, has been used as an important Chinese herbal medicine for thousands of years. The raw SA (RAW) is commonly processed by stir-baking to yellow (SBY), stir-baking to dark brown (SBD), and stir-baking to carbon dark (SBC) for different clinical uses. In our present investigation, intelligent sensory technologies consisting of computer vision (CV), electronic nose (E-nose), and electronic tongue (E-tongue) were employed in order to develop a novel and accurate method for discrimination of SA and its processed products. Firstly, the color parameters and electronic sensory responses of E-nose and E-tongue of the samples were determined, respectively. Then, indicative components including 5-hydroxymethyl furfural (5-HMF) and arecoline (ARE) were determined by HPLC. Finally, principal component analysis (PCA) and discriminant factor analysis (DFA) were performed. The results demonstrated that these three instruments can effectively discriminate SA and its processed products. 5-HMF and ARE can reflect the stir-baking degree of SA. Interestingly, the two components showed close correlations to the color parameters and sensory responses of E-nose and E-tongue. In conclusion, this novel method based on CV, E-nose, and E-tongue can be successfully used to discriminate SA and its processed products. PMID:26366185

  1. Molecular strain typing of Brucella abortus isolates from Italy by two VNTR allele sizing technologies.

    PubMed

    De Santis, Riccardo; Ancora, Massimo; De Massis, Fabrizio; Ciammaruconi, Andrea; Zilli, Katiuscia; Di Giannatale, Elisabetta; Pittiglio, Valentina; Fillo, Silvia; Lista, Florigio

    2013-10-01

    Brucellosis, one of the most important re-emerging zoonoses in many countries, is caused by bacteria belonging to the genus Brucella. Furthermore these bacteria represent potential biological warfare agents and the identification of species and biovars of field strains may be crucial for tracing back source of infection, allowing to discriminate naturally occurring outbreaks instead of bioterrorist events. In the last years, multiple-locus variable-number tandem repeat analysis (MLVA) has been proposed as complement of the classical biotyping methods and it has been applied for genotyping large collections of Brucella spp. At present, the MLVA band profiles may be resolved by automated or manual procedures. The Lab on a chip technology represents a valid alternative to standard genotyping techniques (as agarose gel electrophoresis) and it has been previously used for Brucella genotyping. Recently, a new high-throughput genotyping analysis system based on capillary gel electrophoresis, the QIAxcel, has been described. The aim of the study was to evaluate the ability of two DNA sizing equipments, the QIAxcel System and the Lab chip GX, to correctly call alleles at the sixteen loci including one frequently used MLVA assay for Brucella genotyping. The results confirmed that these technologies represent a meaningful advancement in high-throughput Brucella genotyping. Considering the accuracy required to confidently resolve loci discrimination, QIAxcel shows a better ability to measure VNTR allele sizes compared to LabChip GX.

  2. Tectonic discrimination diagrams revisited

    NASA Astrophysics Data System (ADS)

    Vermeesch, Pieter

    2006-06-01

    The decision boundaries of most tectonic discrimination diagrams are drawn by eye. Discriminant analysis is a statistically more rigorous way to determine the tectonic affinity of oceanic basalts based on their bulk-rock chemistry. This method was applied to a database of 756 oceanic basalts of known tectonic affinity (ocean island, mid-ocean ridge, or island arc). For each of these training data, up to 45 major, minor, and trace elements were measured. Discriminant analysis assumes multivariate normality. If the same covariance structure is shared by all the classes (i.e., tectonic affinities), the decision boundaries are linear, hence the term linear discriminant analysis (LDA). In contrast with this, quadratic discriminant analysis (QDA) allows the classes to have different covariance structures. To solve the statistical problems associated with the constant-sum constraint of geochemical data, the training data must be transformed to log-ratio space before performing a discriminant analysis. The results can be mapped back to the compositional data space using the inverse log-ratio transformation. An exhaustive exploration of 14,190 possible ternary discrimination diagrams yields the Ti-Si-Sr system as the best linear discrimination diagram and the Na-Nb-Sr system as the best quadratic discrimination diagram. The best linear and quadratic discrimination diagrams using only immobile elements are Ti-V-Sc and Ti-V-Sm, respectively. As little as 5% of the training data are misclassified by these discrimination diagrams. Testing them on a second database of 182 samples that were not part of the training data yields a more reliable estimate of future performance. Although QDA misclassifies fewer training data than LDA, the opposite is generally true for the test data. Therefore LDA is a cruder but more robust classifier than QDA. Another advantage of LDA is that it provides a powerful way to reduce the dimensionality of the multivariate geochemical data in a similar

  3. Heuristics to Facilitate Understanding of Discriminant Analysis.

    ERIC Educational Resources Information Center

    Van Epps, Pamela D.

    This paper discusses the principles underlying discriminant analysis and constructs a simulated data set to illustrate its methods. Discriminant analysis is a multivariate technique for identifying the best combination of variables to maximally discriminate between groups. Discriminant functions are established on existing groups and used to…

  4. A PCR-based assay for discriminating Cervus and Rangifer (Cervidae) antlers with mitochondrial DNA polymorphisms.

    PubMed

    Kim, Young Hwa; Kim, Eung Soo; Ko, Byong Seob; Oh, Seung-Eun; Ryuk, Jin-Ah; Chae, Seong Wook; Lee, Hye Won; Choi, Go Ya; Seo, Doo Won; Lee, Mi Young

    2012-07-01

    This study describes a method for discriminating Rangifer antlers from true Cervus antlers using agarose gel electrophoresis, capillary electrophoresis, quantitative real-time PCR, and allelic discrimination. Specific primers labeled with fluorescent tags were designed to amplify fragments from the mitochondrial D-loop genes for various Cervus subspecies and Rangifer tarandus differentially. A 466-bp fragment that was observed for both Cervus and Rangifer antlers served as a positive control, while a 270-bp fragment was specifically amplified only from Rangifer antlers. Allelic discrimination was used to differentiate between Cervus and Rangifer antlers, based on the amplification of specific alleles for both types of antlers. These PCR-based assays can be used for forensic and quantitative analyses of Cervus and Rangifer antlers in a single step, without having to obtain any sequence information. In addition, multiple PCR-based assays are more accurate and reproducible than a single assay for species-specific analysis and are especially useful in this study for the identification of original Cervus deer products from fraudulent Rangifer antlers.

  5. Characteristic Fingerprint Based on Low Polar Constituents for Discrimination of Wolfiporia extensa according to Geographical Origin Using UV Spectroscopy and Chemometrics Methods

    PubMed Central

    Li, Yan; Zhao, Yanli; Li, Zhimin; Li, Tao

    2014-01-01

    The fungus species Wolfiporia extensa has a long history of medicinal usage and has also been commercially used to formulate nutraceuticals and functional foods in certain Asian countries. In the present study, a practical and promising method has been developed to discriminate the dried sclerotium of W. extensa collected from different geographical sites based on UV spectroscopy together with chemometrics methods. Characteristic fingerprint of low polar constituents of sample extracts that originated from chloroform has been obtained in the interval 250–400 nm. Chemometric pattern recognition methods such as partial least squares discriminant analysis (PLS-DA) and hierarchical cluster analysis (HCA) were applied to enhance the authenticity of discrimination of the specimens. The results showed that W. extensa samples were well classified according to their geographical origins. The proposed method can fully utilize diversified fingerprint characteristics of sclerotium of W. extensa and requires low-cost equipment and short-time analysis in comparison with other techniques. Meanwhile, this simple and efficient method may serve as a basis for the authentication of other medicinal fungi. PMID:25544933

  6. Allele-Specific PCR Method Based on pncA and oxyR Sequences for Distinguishing Mycobacterium bovis from Mycobacterium tuberculosis: Intraspecific M. bovis pncA Sequence Polymorphism

    PubMed Central

    de los Monteros, Luz Elena Espinosa; Galán, Juan Carlos; Gutiérrez, Montserrat; Samper, Sofía; García Marín, Juan F.; Martín, Carlos; Domínguez, Lucas; de Rafael, Luis; Baquero, Fernando; Gómez-Mampaso, Enrique; Blázquez, Jesús

    1998-01-01

    An allele-specific amplification method based on two genetic polymorphisms to differentiate Mycobacterium tuberculosis from Mycobacterium bovis was tested. Based on the differences found at position 169 in the pncA genes from M. tuberculosis and M. bovis, a PCR system which was able to differentiate most of the 237 M. tuberculosis complex isolates tested in one of the two species was developed. All 121 M. tuberculosis strains showed the expected base (cytosine) at position 169. Most of the M. bovis isolates had a guanine at the cited position. Nevertheless, 18 of the 116 M. bovis isolates, all of them goat isolates, showed the pncA polymorphism specific to M. tuberculosis. These results suggest that goat M. bovis may be the nicotinamidase-missing link at the origin of the M. tuberculosis species. Based on the polymorphism found at position 285 in the oxyR gene, the same system was used to differentiate M. tuberculosis from M. bovis. In this case, DNAs from all 121 M. tuberculosis isolates had the expected base (guanine) at this position. In addition, all 116 M. bovis isolates, including those from goats, showed the identical polymorphism (adenine). The oxyR allele-specific amplification method can differentiate M. bovis from M. tuberculosis, is rapid (results can be obtained in less than 3 h), and is easy to perform. PMID:9431955

  7. Identification of Variables Associated with Group Separation in Descriptive Discriminant Analysis: Comparison of Methods for Interpreting Structure Coefficients

    ERIC Educational Resources Information Center

    Finch, Holmes

    2010-01-01

    Discriminant Analysis (DA) is a tool commonly used for differentiating among 2 or more groups based on 2 or more predictor variables. DA works by finding 1 or more linear combinations of the predictors that yield maximal difference among the groups. One common goal of researchers using DA is to characterize the nature of group difference by…

  8. Ideal Point Discriminant Analysis.

    ERIC Educational Resources Information Center

    Takane, Yoshio; And Others

    1987-01-01

    A new method of multiple discriminant analysis allows a mixture of continuous and discrete predictors. It handles conditional, joint, or separate sampling. Subjects and criterion groups are represented as points in a multidimensional Euclidean space. Advantages of the method, deriving from Akaike Information Criterion model evaluation, are…

  9. Applying the logic of genetic interaction to discover small molecules that functionally interact with human disease alleles

    PubMed Central

    Brettman, Ari D.; Tan, Pauline H.; Tran, Khoa; Shaw, Stanley Y.

    2015-01-01

    Summary Despite rapid advances in the genetics of complex human diseases, understanding the significance of human disease alleles remains a critical roadblock to clinical translation. Here, we present a chemical biology approach that uses perturbation with small molecules of known mechanism to reveal mechanistic and therapeutic consequences of human disease alleles. To maximize human applicability, we perform chemical screening on multiple cell lines isolated from individual patients, allowing the effects of disease alleles to be studied in their native genetic context. Chemical screen analysis combines the logic of traditional genetic interaction screens with analytic methods from high-dimensionality gene expression analyses. We rank compounds according to their ability to discriminate between cell lines that are mutant vs. wild-type at a disease gene (i.e., the compounds induce phenotypes that differ the most across the two classes). A technique called Compound Set Enrichment Analysis (CSEA), modeled after a widely used method to identify pathways from gene expression data, identifies sets of functionally or structurally related compounds that are statistically enriched among the most discriminating compounds. This chemical:genetic interaction approach was applied to patient-derived cells in a monogenic form of diabetes and identified several classes of compounds (including FDA-approved drugs) that show functional interactions with the causative disease gene, and also modulate insulin secretion, a critical disease phenotype. In summary, perturbation of patient-derived cells with small molecules of known mechanism, together with compound-set based pathway analysis, can identify small molecules and pathways that functionally interact with disease alleles, and that can modulate disease networks for therapeutic effect. PMID:25618333

  10. Accelerated test methods for life prediction of hermetic motor insulation systems exposed to alternative refrigerant/lubricant mixtures. Phase 3: Reproducibility and discrimination testing. Final report

    SciTech Connect

    Ellis, P.F. II; Ferguson, A.F.; Fuentes, K.T.

    1996-05-06

    In 1992, the Air-Conditioning and Refrigeration Technology Institute, Inc. (ARTI) contracted Radian Corporation to ascertain whether an improved accelerated test method or procedure could be developed that would allow prediction of the life of motor insulation materials used in hermetic motors for air-conditioning and refrigeration equipment operated with alternative refrigerant/lubricant mixtures. This report presents the results of phase three concerning the reproducibility and discrimination testing.

  11. Allelic association between marker loci.

    PubMed

    Lonjou, C; Collins, A; Morton, N E

    1999-02-16

    Allelic association has proven useful to refine the location of major genes prior to positional cloning, but it is of uncertain value for genome scans in complex inheritance. We have extended kinship theory to give information content for linkage and allelic association. Application to pairs of closely linked markers as a surrogate for marker x oligogene pairs indicates that association is largely determined by regional founders, with little effect of subsequent demography. Sub-Saharan Africa has the least allelic association, consistent with settlement of other regions by small numbers of founders. Recent speculation about substantial advantages of isolates over large populations, of constant size over expansion, and of F1 hybrids over incrosses is not supported by theory or data. On the contrary, fewer affected cases, less opportunity for replication, and more stochastic variation tend to make isolates less informative for allelic association, as they are for linkage.

  12. What Is a Recessive Allele?

    ERIC Educational Resources Information Center

    American Biology Teacher, 1991

    1991-01-01

    Presents four misconceptions students have concerning the concepts of recessive and dominant alleles. Discusses the spectrum of dominant-recessive relationships, different levels of analysis between phenotype and genotype, possible causes of dominance, and an example involving wrinkled peas. (MDH)

  13. Discriminating between different streamflow regimes by using the Fisher-Shannon method: An application to the Colombia rivers

    NASA Astrophysics Data System (ADS)

    Pierini, Jorge O.; Restrepo, Juan C.; Lovallo, Michele; Telesca, Luciano

    2014-12-01

    The Fisher-Shannon (FS) information plane, defined by the Fisher information measure (FIM) and the Shannon entropy power (N X ), was robustly used to investigate the complex dynamics of eight monthly streamflow time series in Colombia. In the FS plane the streamflow series seem to aggregate into two different clusters corresponding to two different climatological regimes in Colombia. Our findings suggest the use of the statistical quantity defined by the FS information plane as a tool to discriminate among different hydrological regimes.

  14. Discriminating Between Different Streamflow Regimes by Using the Fisher-Shannon Method: An Application to the Colombia Rivers

    NASA Astrophysics Data System (ADS)

    Pierini, Jorge O.; Restrepo, Juan C.; Lovallo, Michele; Telesca, Luciano

    2015-04-01

    The Fisher-Shannon (FS) information plane, defined by the Fisher information measure (FIM) and the Shannon entropy power (NX), was robustly used to investigate the complex dynamics of eight monthly streamflow time series in Colombia. In the FS plane the streamflow series seem to aggregate into two different clusters corresponding to two different climatological regimes in Colombia. Our findings suggest the use of the statistical quantity defined by the FS information plane as a tool to discriminate among different hydrological regimes.

  15. Modification of an HLA-B PCR-SSOP typing system leading to improved allele determination.

    PubMed

    Middleton, D; Williams, F; Cullen, C; Mallon, E

    1995-04-01

    Modifications have been introduced to a previously reported HLA-B PCR-SSOP typing system. This has enabled further definition of alleles, determination of the probe pattern of some alleles not previously examined and identification of patterns of possible new alleles. However there are still some alleles that cannot be differentiated and there are several alleles which when present as a homozygote have the same pattern as in combination with another allele. When the method was applied to the typing of 66 consecutive cadaveric donors there were three donors whose type differed from the serological type.

  16. Comparison of the Microsatellite and Single Nucleotide Polymorphism Methods for Discriminating among Hanwoo (Korean Native Cattle), Imported, and Crossbred Beef in Korea

    PubMed Central

    Heo, Eun-Jeong; Seo, Kun-Ho; Chon, Jung-Whan; Kim, Young-Jo; Park, Hyun-Jung

    2014-01-01

    The identity of 45 Hanwo and 47 imported beef (non-Hanwoo) samples from USA and Australia were verified using the microsatellite (MS) marker and single nucleotide polymorphism (SNP) methods. Samples were collected from 19 supermarkets located in the city of Seoul and Gyeonggi province, South Korea, from 2009 to 2011. As a result, we obtained a 100% concordance rate between the MS and SNP methods for identifying Hanwoo and non-Hanwoo beef. The MS method presented a 95% higher individual discriminating value for Hanwoo (97.8%) than for non-Hanwoo (61.7%) beef. For further comparison of the MS and SNP methods, blood samples were collected and tested from 54 Hanwoo × Holstein crossbred cattle (first, second, and third generations). By using the SNP and MS methods, we correctly identified all of the first-generation crossbred cattle as non-Hanwoo; in addition, among the second and third generation crossbreds, the ratio identified as Hanwoo was 20% and 10%, respectively. The MS method used in our study provides more information, but requires sophisticated techniques during each experimental process. By contrast, the SNP method is simple and has a lower error rate. Our results suggest that the MS and SNP methods are useful for discriminating Hanwoo from non-Hanwoo breeds. PMID:26761672

  17. CYP2D6: novel genomic structures and alleles

    PubMed Central

    Kramer, Whitney E.; Walker, Denise L.; O’Kane, Dennis J.; Mrazek, David A.; Fisher, Pamela K.; Dukek, Brian A.; Bruflat, Jamie K.; Black, John L.

    2010-01-01

    Objective CYP2D6 is a polymorphic gene. It has been observed to be deleted, to be duplicated and to undergo recombination events involving the CYP2D7 pseudogene and surrounding sequences. The objective of this study was to discover the genomic structure of CYP2D6 recombinants that interfere with clinical genotyping platforms that are available today. Methods Clinical samples containing rare homozygous CYP2D6 alleles, ambiguous readouts, and those with duplication signals and two different alleles were analyzed by long-range PCR amplification of individual genes, PCR fragment analysis, allele-specific primer extension assay, and DNA sequencing to characterize alleles and genomic structure. Results Novel alleles, genomic structures, and the DNA sequence of these structures are described. Interestingly, in 49 of 50 DNA samples that had CYP2D6 gene duplications or multiplications where two alleles were detected, the chromosome containing the duplication or multiplication had identical tandem alleles. Conclusion Several new CYP2D6 alleles and genomic structures are described which will be useful for CYP2D6 genotyping. The findings suggest that the recombination events responsible for CYP2D6 duplications and multiplications are because of mechanisms other than interchromosomal crossover during meiosis. PMID:19741566

  18. Method for manufacturing solid-state thermal neutron detectors with simultaneous high thermal neutron detection efficiency (>50%) and neutron to gamma discrimination (>1.0E4)

    SciTech Connect

    Nikolic, Rebecca J.; Conway, Adam M.; Heineck, Daniel; Voss, Lars F.; Wang, Tzu Fang; Shao, Qinghui

    2013-10-15

    Methods for manufacturing solid-state thermal neutron detectors with simultaneous high thermal neutron detection efficiency (>50%) and neutron to gamma discrimination (>10.sup.4) are provided. A structure is provided that includes a p+ region on a first side of an intrinsic region and an n+ region on a second side of the intrinsic region. The thickness of the intrinsic region is minimized to achieve a desired gamma discrimination factor of at least 1.0E+04. Material is removed from one of the p+ region or the n+ region and into the intrinsic layer to produce pillars with open space between each pillar. The open space is filed with a neutron sensitive material. An electrode is placed in contact with the pillars and another electrode is placed in contact with the side that is opposite of the intrinsic layer with respect to the first electrode.

  19. Assignment of SNP allelic configuration in polyploids using competitive allele-specific PCR: application to citrus triploid progeny

    PubMed Central

    Cuenca, José; Aleza, Pablo; Navarro, Luis; Ollitrault, Patrick

    2013-01-01

    Background Polyploidy is a major component of eukaryote evolution. Estimation of allele copy numbers for molecular markers has long been considered a challenge for polyploid species, while this process is essential for most genetic research. With the increasing availability and whole-genome coverage of single nucleotide polymorphism (SNP) markers, it is essential to implement a versatile SNP genotyping method to assign allelic configuration efficiently in polyploids. Scope This work evaluates the usefulness of the KASPar method, based on competitive allele-specific PCR, for the assignment of SNP allelic configuration. Citrus was chosen as a model because of its economic importance, the ongoing worldwide polyploidy manipulation projects for cultivar and rootstock breeding, and the increasing availability of SNP markers. Conclusions Fifteen SNP markers were successfully designed that produced clear allele signals that were in agreement with previous genotyping results at the diploid level. The analysis of DNA mixes between two haploid lines (Clementine and pummelo) at 13 different ratios revealed a very high correlation (average = 0·9796; s.d. = 0·0094) between the allele ratio and two parameters [θ angle = tan−1 (y/x) and y′ = y/(x + y)] derived from the two normalized allele signals (x and y) provided by KASPar. Separated cluster analysis and analysis of variance (ANOVA) from mixed DNA simulating triploid and tetraploid hybrids provided 99·71 % correct allelic configuration. Moreover, triploid populations arising from 2n gametes and interploid crosses were easily genotyped and provided useful genetic information. This work demonstrates that the KASPar SNP genotyping technique is an efficient way to assign heterozygous allelic configurations within polyploid populations. This method is accurate, simple and cost-effective. Moreover, it may be useful for quantitative studies, such as relative allele-specific expression analysis and bulk segregant analysis

  20. Delimiting Allelic Imbalance of TYMS by Allele-Specific Analysis

    PubMed Central

    Balboa-Beltrán, Emilia; Cruz, Raquel; Carracedo, Angel; Barros, Francisco

    2015-01-01

    Abstract Allelic imbalance of thymidylate synthase (TYMS) is attributed to polymorphisms in the 5′- and 3′-untranslated region (UTR). These polymorphisms have been related to the risk of suffering different cancers, for example leukemia, breast or gastric cancer, and response to different drugs, among which are methotrexate glutamates, stavudine, and specifically 5-fluorouracil (5-FU), as TYMS is its direct target. A vast literature has been published in relation to 5-FU, even suggesting the sole use of these polymorphisms to effectively manage 5-FU dosage. Estimates of the extent to which these polymorphisms influence in TYMS expression have in the past been based on functional analysis by luciferase assays and quantification of TYMS mRNA, but both these studies, as the association studies with cancer risk or with toxicity or response to 5-FU, are very contradictory. Regarding functional assays, the artificial genetic environment created in luciferase assay and the problems derived from quantitative polymerase chain reactions (qPCRs), for example the use of a reference gene, may have distorted the results. To avoid these sources of interference, we have analyzed the allelic imbalance of TYMS by allelic-specific analysis in peripheral blood mononuclear cells (PBMCs) from patients. Allelic imbalance in PBMCs, taken from 40 patients with suspected myeloproliferative haematological diseases, was determined by fluorescent fragment analysis (for the 3′-UTR polymorphism), Sanger sequencing and allelic-specific qPCR in multiplex (for the 5′-UTR polymorphisms). For neither the 3′- nor the 5′-UTR polymorphisms did the observed allelic imbalance exceed 1.5 fold. None of the TYMS polymorphisms is statistically associated with allelic imbalance. The results acquired allow us to deny the previously established assertion of an influence of 2 to 4 fold of the rs45445694 and rs2853542 polymorphisms in the expression of TYMS and narrow its allelic imbalance to 1.5 fold

  1. Airborne particulate discriminator

    DOEpatents

    Creek, Kathryn Louise; Castro, Alonso; Gray, Perry Clayton

    2009-08-11

    A method and apparatus for rapid and accurate detection and discrimination of biological, radiological, and chemical particles in air. A suspect aerosol of the target particulates is treated with a taggant aerosol of ultrafine particulates. Coagulation of the taggant and target particles causes a change in fluorescent properties of the cloud, providing an indication of the presence of the target.

  2. [The osteometric method for the determination of sequential localization and sex characteristics of the ribs using discriminate analysis].

    PubMed

    Zviagin, V N; Permiakova, E Iu; Galitskaia, O I

    2009-01-01

    The study material was ribs of the Caucasoid carcasses from the collections of the Department of Anthropology, M.V. Lomonosov Moscow State University, and the Department of Personality Identification, Russian Centre of Forensic Medical Examination. Each rib was measured as stipulated by the 13 point program of A.I. Turovtsev (1972). The results were analysed with the use of the SPSS statistical packet. Diagnostic models were calculated for the purpose of forensic medicine practice based on step-by-step discriminative analysis. It is recommended to perform expert evaluation in two stages. The aim of the first stage, is to establish the group affiliation of a concrete rib. Group 1 comprises III-V ribs, group 2--ribs VI--VIII, and group 3--ribs IX-XI. Determination of the sequential localization of I, II, and XII ribs encounters practically no difficulty due to their unique anatomical structure. The accuracy of classication of group localization of the ribs amounts to 99.6%. At the second stage, individual number of a concrete rib within a group is determined. The accuracy of classification of ribs belonging to groups 1 and 3 is 80.2% and 85.7% respectively and that of ribs in group 2 is lightly lower (41.7-69%). Sexual identity of the ribs was determined by means of multidimensional discriminative analysis. The accuracy of diagnosis is directly related to the integrity of the study material; in other words, it depends on the amount of ribs available for the analysis. It is shown that sexual identity is best established for rib VI followed by ribs VIII, II, IV, and I respectively. The main discriminative features include the total arch length, costal plane curvature, and height-width dimension. Diagnostic equations are derived for the determination of sexual identity of individual ribs for the practical purposes of forensic medical examination.

  3. Color measurement and discrimination

    NASA Technical Reports Server (NTRS)

    Wandell, B. A.

    1985-01-01

    Theories of color measurement attempt to provide a quantative means for predicting whether two lights will be discriminable to an average observer. All color measurement theories can be characterized as follows: suppose lights a and b evoke responses from three color channels characterized as vectors, v(a) and v(b); the vector difference v(a) - v(b) corresponds to a set of channel responses that would be generated by some real light, call it *. According to theory a and b will be discriminable when * is detectable. A detailed development and test of the classic color measurement approach are reported. In the absence of a luminance component in the test stimuli, a and b, the theory holds well. In the presence of a luminance component, the theory is clearly false. When a luminance component is present discrimination judgements depend largely on whether the lights being discriminated fall in separate, categorical regions of color space. The results suggest that sensory estimation of surface color uses different methods, and the choice of method depends upon properties of the image. When there is significant luminance variation a categorical method is used, while in the absence of significant luminance variation judgments are continuous and consistant with the measurement approach.

  4. Quantifying RNA allelic ratios by microfluidic multiplex PCR and sequencing.

    PubMed

    Zhang, Rui; Li, Xin; Ramaswami, Gokul; Smith, Kevin S; Turecki, Gustavo; Montgomery, Stephen B; Li, Jin Billy

    2014-01-01

    We developed a targeted RNA sequencing method that couples microfluidics-based multiplex PCR and deep sequencing (mmPCR-seq) to uniformly and simultaneously amplify up to 960 loci in 48 samples independently of their gene expression levels and to accurately and cost-effectively measure allelic ratios even for low-quantity or low-quality RNA samples. We applied mmPCR-seq to RNA editing and allele-specific expression studies. mmPCR-seq complements RNA-seq for studying allelic variations in the transcriptome.

  5. In silico and experimental evaluation of DNA-based detection methods for the ability to discriminate almond from other Prunus spp.

    PubMed

    Brežná, Barbara; Šmíd, Jiří; Costa, Joana; Radvanszky, Jan; Mafra, Isabel; Kuchta, Tomáš

    2015-04-01

    Ten published DNA-based analytical methods aiming at detecting material of almond (Prunus dulcis) were in silico evaluated for potential cross-reactivity with other stone fruits (Prunus spp.), including peach, apricot, plum, cherry, sour cherry and Sargent cherry. For most assays, the analysis of nucleotide databases suggested none or insufficient discrimination of at least some stone fruits. On the other hand, the assay targeting non-specific lipid transfer protein (Röder et al., 2011, Anal Chim Acta 685:74-83) was sufficiently discriminative, judging from nucleotide alignments. Empirical evaluation was performed for three of the published methods, one modification of a commercial kit (SureFood allergen almond) and one attempted novel method targeting thaumatin-like protein gene. Samples of leaves and kernels were used in the experiments. The empirical results were favourable for the method from Röder et al. (2011) and a modification of SureFood allergen almond kit, both showing cross-reactivity <10(-3) compared to the model almond.

  6. Distribution of forensic marker allelic frequencies in Pernambuco, Northestern Brazil.

    PubMed

    Santos, S M; Souza, C A; Rabelo, K C N; Souza, P R E; Moura, R R; Oliveira, T C; Crovella, S

    2015-04-30

    Pernambuco is one of the 27 federal units of Brazil, ranking seventh in the number of inhabitants. We examined the allele frequencies of 13 short tandem repeat loci (CFS1PO, D3S1358, D5S818, D7S820, D8S1179, D13S317, D16S539, D18S51, D21S11, FGA, TH01, vWA, and TPOX), the minimum recommended by the Federal Bureau of Investigation and commonly used in forensic genetics laboratories in Brazil, in a sample of 609 unrelated individuals from all geographic regions of Pernambuco. The allele frequencies ranged from 5 to 47.2%. No significant differences for any loci analyzed were observed compared with other publications in other various regions of Brazil. Most of the markers observed were in Hardy-Weinberg equilibrium. The occurrence of the allele 47.2 (locus FGA) and alleles 35.1 and 39 (locus D21S11), also described in a single study of the Brazilian population, was observed. The other forensic parameters analyzed (matching probability, power of discrimination, polymorphic information content, paternity exclusion, complement factor I, observed heterozygosity, expected heterozygosity) indicated that the studied markers are very informative for human forensic identification purposes in the Pernambuco population.

  7. Allelic Richness following Population Founding Events – A Stochastic Modeling Framework Incorporating Gene Flow and Genetic Drift

    PubMed Central

    Greenbaum, Gili; Templeton, Alan R.; Zarmi, Yair; Bar-David, Shirli

    2014-01-01

    Allelic richness (number of alleles) is a measure of genetic diversity indicative of a population's long-term potential for adaptability and persistence. It is used less commonly than heterozygosity as a genetic diversity measure, partially because it is more mathematically difficult to take into account the stochastic process of genetic drift for allelic richness. This paper presents a stochastic model for the allelic richness of a newly founded population experiencing genetic drift and gene flow. The model follows the dynamics of alleles lost during the founder event and simulates the effect of gene flow on maintenance and recovery of allelic richness. The probability of an allele's presence in the population was identified as the relevant statistical property for a meaningful interpretation of allelic richness. A method is discussed that combines the probability of allele presence with a population's allele frequency spectrum to provide predictions for allele recovery. The model's analysis provides insights into the dynamics of allelic richness following a founder event, taking into account gene flow and the allele frequency spectrum. Furthermore, the model indicates that the “One Migrant per Generation” rule, a commonly used conservation guideline related to heterozygosity, may be inadequate for addressing preservation of diversity at the allelic level. This highlights the importance of distinguishing between heterozygosity and allelic richness as measures of genetic diversity, since focusing merely on the preservation of heterozygosity might not be enough to adequately preserve allelic richness, which is crucial for species persistence and evolution. PMID:25526062

  8. Allelic richness following population founding events--a stochastic modeling framework incorporating gene flow and genetic drift.

    PubMed

    Greenbaum, Gili; Templeton, Alan R; Zarmi, Yair; Bar-David, Shirli

    2014-01-01

    Allelic richness (number of alleles) is a measure of genetic diversity indicative of a population's long-term potential for adaptability and persistence. It is used less commonly than heterozygosity as a genetic diversity measure, partially because it is more mathematically difficult to take into account the stochastic process of genetic drift for allelic richness. This paper presents a stochastic model for the allelic richness of a newly founded population experiencing genetic drift and gene flow. The model follows the dynamics of alleles lost during the founder event and simulates the effect of gene flow on maintenance and recovery of allelic richness. The probability of an allele's presence in the population was identified as the relevant statistical property for a meaningful interpretation of allelic richness. A method is discussed that combines the probability of allele presence with a population's allele frequency spectrum to provide predictions for allele recovery. The model's analysis provides insights into the dynamics of allelic richness following a founder event, taking into account gene flow and the allele frequency spectrum. Furthermore, the model indicates that the "One Migrant per Generation" rule, a commonly used conservation guideline related to heterozygosity, may be inadequate for addressing preservation of diversity at the allelic level. This highlights the importance of distinguishing between heterozygosity and allelic richness as measures of genetic diversity, since focusing merely on the preservation of heterozygosity might not be enough to adequately preserve allelic richness, which is crucial for species persistence and evolution.

  9. Discrimination of Escherichia coli O157, O26 and O111 from other serovars by MALDI-TOF MS based on the S10-GERMS method.

    PubMed

    Ojima-Kato, Teruyo; Yamamoto, Naomi; Suzuki, Mayumi; Fukunaga, Tomohiro; Tamura, Hiroto

    2014-01-01

    Enterohemorrhagic Escherichia coli (EHEC), causes a potentially life-threatening infection in humans worldwide. Serovar O157:H7, and to a lesser extent serovars O26 and O111, are the most commonly reported EHEC serovars responsible for a large number of outbreaks. We have established a rapid discrimination method for E. coli serovars O157, O26 and O111 from other E. coli serovars, based on the pattern matching of mass spectrometry (MS) differences and the presence/absence of biomarker proteins detected in matrix-assisted laser desorption/ionization time-of-flight MS (MALDI-TOF MS). Three biomarkers, ribosomal proteins S15 and L25, and acid stress chaperone HdeB, with MS m/z peaks at 10138.6/10166.6, 10676.4/10694.4 and 9066.2, respectively, were identified as effective biomarkers for O157 discrimination. To distinguish serovars O26 and O111 from the others, DNA-binding protein H-NS, with an MS peak at m/z 15409.4/15425.4 was identified. Sequence analysis of the O157 biomarkers revealed that amino acid changes: Q80R in S15, M50I in L25 and one mutation within the start codon ATG to ATA in the encoded HdeB protein, contributed to the specific peak pattern in O157. We demonstrated semi-automated pattern matching using these biomarkers and successfully discriminated total 57 O157 strains, 20 O26 strains and 6 O111 strains with 100% reliability by conventional MALDI-TOF MS analysis, regardless of the sample conditions. Our simple strategy, based on the S10-spc-alpha operon gene-encoded ribosomal protein mass spectrum (S10-GERMS) method, therefore allows for the rapid and reliable detection of this pathogen and may prove to be an invaluable tool both clinically and in the food industry.

  10. A unified rapid PCR method for detection of normal and expanded trinucleotide alleles of CAG repeats in huntington chorea and CGG repeats in fragile X syndrome.

    PubMed

    Todorov, Tihomir; Todorova, Albena; Georgieva, Bilyana; Mitev, Vanyo

    2010-06-01

    We report on a unified rapid betaine-based-PCR protocol for amplification of the (CAG)n region in Huntington disease (HD) and the (CGG)n region in Fragile X syndrome (FXS), followed by an electrophoretic separation on automated sequencer for precise determination of the triplet numbers. The high betaine concentration (2.5 M betaine) permits precise amplification of the CAG and CGG repeats. Ten HD affected patients and 10 healthy individuals from HD families were re-evaluated. For FXS the CGG region in normal individuals and premutations of about 100 repeats were precisely amplified by this protocol. Ten unrelated FXS premutation carriers and 24 mentally retarded non-FXS affected boys were re-examined by this method. The results totally coincided with the previous ones. This protocol is a good choice as a fast screening test. Within 24 h we can have preliminary information on the patient's genetic status. Normal individuals, CGG premutation carriers up to 100 repeats, as well as HD patients carrying an expansion up to 50 CAG repeats can be easily clarified. This accounts for a relatively large proportion (about 90%) of the suspected HD and FXS patients, referred to our laboratory for genetic analysis. The calculation of the repeat's number is more accurate for the correct interpretation of the results, screening tests and genetic counselling.

  11. Racial/Ethnic Workplace Discrimination

    PubMed Central

    Chavez, Laura J.; Ornelas, India J.; Lyles, Courtney R.; Williams, Emily C.

    2014-01-01

    Background Experiences of discrimination are associated with tobacco and alcohol use, and work is a common setting where individuals experience racial/ethnic discrimination. Few studies have evaluated the association between workplace discrimination and these behaviors, and none have described associations across race/ethnicity. Purpose To examine the association between workplace discrimination and tobacco and alcohol use in a large, multistate sample of U.S. adult respondents to the Behavioral Risk Factor Surveillance System survey Reactions to Race Module (2004–2010). Methods Multivariable logistic regression analyses evaluated cross-sectional associations between self-reported workplace discrimination and tobacco (current and daily smoking) and alcohol use (any and heavy use, and binge drinking) among all participants and stratified by race/ethnicity, adjusting for relevant covariates. Data were analyzed in 2013. Results Among respondents, 70,080 completed the workplace discrimination measure. Discrimination was more common among black non-Hispanic (21%), Hispanic (12%), and other race respondents (11%) than white non-Hispanics (4%) (p<0.001). In the total sample, discrimination was associated with current smoking (risk ratio [RR]=1.32, 95% CI=1.19, 1.47), daily smoking (RR=1.41, 95% CI=1.24, 1.61), and heavy drinking (RR=1.11, 95% CI=1.01, 1.22), but not binge or any drinking. Among Hispanics, workplace discrimination was associated with increased heavy and binge drinking, but not any alcohol use or smoking. Workplace discrimination among black non-Hispanics and white Non-Hispanics was associated with increased current and daily smoking, but not alcohol outcomes. Conclusions Workplace discrimination is common, associated with smoking and alcohol use, and merits further policy attention given the impact of these behaviors on morbidity and mortality. PMID:25441232

  12. Robust identification of local adaptation from allele frequencies.

    PubMed

    Günther, Torsten; Coop, Graham

    2013-09-01

    Comparing allele frequencies among populations that differ in environment has long been a tool for detecting loci involved in local adaptation. However, such analyses are complicated by an imperfect knowledge of population allele frequencies and neutral correlations of allele frequencies among populations due to shared population history and gene flow. Here we develop a set of methods to robustly test for unusual allele frequency patterns and correlations between environmental variables and allele frequencies while accounting for these complications based on a Bayesian model previously implemented in the software Bayenv. Using this model, we calculate a set of "standardized allele frequencies" that allows investigators to apply tests of their choice to multiple populations while accounting for sampling and covariance due to population history. We illustrate this first by showing that these standardized frequencies can be used to detect nonparametric correlations with environmental variables; these correlations are also less prone to spurious results due to outlier populations. We then demonstrate how these standardized allele frequencies can be used to construct a test to detect SNPs that deviate strongly from neutral population structure. This test is conceptually related to FST and is shown to be more powerful, as we account for population history. We also extend the model to next-generation sequencing of population pools-a cost-efficient way to estimate population allele frequencies, but one that introduces an additional level of sampling noise. The utility of these methods is demonstrated in simulations and by reanalyzing human SNP data from the Human Genome Diversity Panel populations and pooled next-generation sequencing data from Atlantic herring. An implementation of our method is available from http://gcbias.org. PMID:23821598

  13. Robust Identification of Local Adaptation from Allele Frequencies

    PubMed Central

    Günther, Torsten; Coop, Graham

    2013-01-01

    Comparing allele frequencies among populations that differ in environment has long been a tool for detecting loci involved in local adaptation. However, such analyses are complicated by an imperfect knowledge of population allele frequencies and neutral correlations of allele frequencies among populations due to shared population history and gene flow. Here we develop a set of methods to robustly test for unusual allele frequency patterns and correlations between environmental variables and allele frequencies while accounting for these complications based on a Bayesian model previously implemented in the software Bayenv. Using this model, we calculate a set of “standardized allele frequencies” that allows investigators to apply tests of their choice to multiple populations while accounting for sampling and covariance due to population history. We illustrate this first by showing that these standardized frequencies can be used to detect nonparametric correlations with environmental variables; these correlations are also less prone to spurious results due to outlier populations. We then demonstrate how these standardized allele frequencies can be used to construct a test to detect SNPs that deviate strongly from neutral population structure. This test is conceptually related to FST and is shown to be more powerful, as we account for population history. We also extend the model to next-generation sequencing of population pools—a cost-efficient way to estimate population allele frequencies, but one that introduces an additional level of sampling noise. The utility of these methods is demonstrated in simulations and by reanalyzing human SNP data from the Human Genome Diversity Panel populations and pooled next-generation sequencing data from Atlantic herring. An implementation of our method is available from http://gcbias.org. PMID:23821598

  14. Paraffin-embedded tissue blot as a sensitive method for discrimination between classical scrapie and experimental bovine spongiform encephalopathy in sheep.

    PubMed

    Webb, Paul R; Denyer, Margaret; Gough, Julie; Spiropoulos, John; Simmons, Marion M; Spencer, Yvonne I

    2011-05-01

    The paraffin-embedded tissue (PET) blot was modified for use as a tool to differentiate between classical scrapie and experimental bovine spongiform encephalopathy (BSE) in sheep. Medulla (obex) from 21 cases of classical scrapie and 6 cases of experimental ovine BSE were used to develop the method such that it can be used as a tool to differentiate between BSE and scrapie in the same way that differential immunohistochemistry (IHC) has been used previously. The differential PET blot successfully differentiated between all of the scrapie and ovine BSE cases. Differentiation was permitted more easily with PET blot than by differential IHC, with accurate observations possible at the macroscopic level. At the microscopic level, sensitivity was such that discrimination by the differential PET blot could be made with more confidence than with differential IHC in cases where the immunohistochemical differences were subtle. The differential PET blot makes use of harsh epitope demasking conditions, and, because of the differences in the way prion protein is processed in different prion diseases, it can serve as a new, highly sensitive method to discriminate between classical scrapie and experimental BSE in sheep.

  15. Fighting discrimination.

    PubMed

    Wientjens, Wim; Cairns, Douglas

    2012-10-01

    In the fight against discrimination, the IDF launched the first ever International Charter of Rights and Responsibilities of People with Diabetes in 2011: a balance between rights and duties to optimize health and quality of life, to enable as normal a life as possible and to reduce/eliminate the barriers which deny realization of full potential as members of society. It is extremely frustrating to suffer blanket bans and many examples exist, including insurance, driving licenses, getting a job, keeping a job and family affairs. In this article, an example is given of how pilots with insulin treated diabetes are allowed to fly by taking the responsibility of using special blood glucose monitoring protocols. At this time the systems in the countries allowing flying for pilots with insulin treated diabetes are applauded, particularly the USA for private flying, and Canada for commercial flying. Encouraging developments may be underway in the UK for commercial flying and, if this materializes, could be used as an example for other aviation authorities to help adopt similar protocols. However, new restrictions implemented by the new European Aviation Authority take existing privileges away for National Private Pilot Licence holders with insulin treated diabetes in the UK. PMID:22784927

  16. Fighting discrimination.

    PubMed

    Wientjens, Wim; Cairns, Douglas

    2012-10-01

    In the fight against discrimination, the IDF launched the first ever International Charter of Rights and Responsibilities of People with Diabetes in 2011: a balance between rights and duties to optimize health and quality of life, to enable as normal a life as possible and to reduce/eliminate the barriers which deny realization of full potential as members of society. It is extremely frustrating to suffer blanket bans and many examples exist, including insurance, driving licenses, getting a job, keeping a job and family affairs. In this article, an example is given of how pilots with insulin treated diabetes are allowed to fly by taking the responsibility of using special blood glucose monitoring protocols. At this time the systems in the countries allowing flying for pilots with insulin treated diabetes are applauded, particularly the USA for private flying, and Canada for commercial flying. Encouraging developments may be underway in the UK for commercial flying and, if this materializes, could be used as an example for other aviation authorities to help adopt similar protocols. However, new restrictions implemented by the new European Aviation Authority take existing privileges away for National Private Pilot Licence holders with insulin treated diabetes in the UK.

  17. [Microchip electrophoresis coupled with multiplex allele-specific am-plification for typing multiple single nucleotide polymorphisms (SNPs) simultaneously].

    PubMed

    Wang, Wei-Peng; Zhou, Guo-Hua

    2009-02-01

    A new method of DNA adapter ligation-mediated allele-specific amplification (ALM-ASA) was developed for typing multiple single nucleotide polymorphisms (SNPs) on the platform of microchip electrophoresis. Using seven SNPs of 794C>T, 1274C>T, 2143T>C, 2766T>del, 3298G>A, 5200G>A, and 5277C>T in the interleukin 1B (IL1B) gene as a target object, a long DNA fragment containing the seven SNPs of interest was pre-amplified to enhance the specificity. The pre-amplified DNA fragment was digested by a restriction endonuclease to form sticky ends; and then the adapter was ligated to either end of the digested fragment. Using the adapter-ligated fragments as templates, a 7-plex allele-specific amplification was performed by 7 allele-specific primers and a universal primer in one tube. The allele-specific products amplified were separated by chip electrophoresis and the types of SNPs were easily discriminated by the product sizes. The seven SNPs in IL1B gene in 48 healthy Chinese were successfully typed by microchip electrophoresis and the results coincided with those by PCR-restriction fragment length polymorphism and sequencing method. The method established was accurate and can be used to type multiple SNPs simultaneously. In combination with microchip electrophoresis for readout, ALM-ASA assay can be used for fast SNP detection with a small amount of sample. Using self-prepared gel matrix and reused chips for analysis, the SNP can be typed at an ultra low cost.

  18. Allele Mining Strategies: Principles and Utilisation for Blast Resistance Genes in Rice (Oryza sativa L.).

    PubMed

    Ashkani, Sadegh; Yusop, Mohd Rafii; Shabanimofrad, Mahmoodreza; Azady, Amin; Ghasemzadeh, Ali; Azizi, Parisa; Latif, Mohammad Abdul

    2015-01-01

    Allele mining is a promising way to dissect naturally occurring allelic variants of candidate genes with essential agronomic qualities. With the identification, isolation and characterisation of blast resistance genes in rice, it is now possible to dissect the actual allelic variants of these genes within an array of rice cultivars via allele mining. Multiple alleles from the complex locus serve as a reservoir of variation to generate functional genes. The routine sequence exchange is one of the main mechanisms of R gene evolution and development. Allele mining for resistance genes can be an important method to identify additional resistance alleles and new haplotypes along with the development of allele-specific markers for use in marker-assisted selection. Allele mining can be visualised as a vital link between effective utilisation of genetic and genomic resources in genomics-driven modern plant breeding. This review studies the actual concepts and potential of mining approaches for the discovery of alleles and their utilisation for blast resistance genes in rice. The details provided here will be important to provide the rice breeder with a worthwhile introduction to allele mining and its methodology for breakthrough discovery of fresh alleles hidden in hereditary diversity, which is vital for crop improvement.

  19. The application of discriminant analysis and Machine Learning methods as tools to identify and classify compounds with potential as transdermal enhancers.

    PubMed

    Moss, G P; Shah, A J; Adams, R G; Davey, N; Wilkinson, S C; Pugh, W J; Sun, Y

    2012-01-23

    Discriminant analysis (DA) has previously been shown to allow the proposal of simple guidelines for the classification of 73 chemical enhancers of percutaneous absorption. Pugh et al. employed DA to classify such enhancers into simple categories, based on the physicochemical properties of the enhancer molecules (Pugh et al., 2005). While this approach provided a reasonable accuracy of classification it was unable to provide a consistently reliable estimate of enhancement ratio (ER, defined as the amount of hydrocortisone transferred after 24h, relative to control). Machine Learning methods, including Gaussian process (GP) regression, have recently been employed in the prediction of percutaneous absorption of exogenous chemicals (Moss et al., 2009; Lam et al., 2010; Sun et al., 2011). They have shown that they provide more accurate predictions of these phenomena. In this study several Machine Learning methods, including the K-nearest-neighbour (KNN) regression, single layer networks, radial basis function networks and the SVM classifier were applied to an enhancer dataset reported previously. The SMOTE sampling method was used to oversample chemical compounds with ER>10 in each training set in order to improve estimation of GP and KNN. Results show that models using five physicochemical descriptors exhibit better performance than those with three features. The best classification result was obtained by using the SVM method without dealing with imbalanced data. Following over-sampling, GP gives the best result. It correctly assigned 8 of the 12 "good" (ER>10) enhancers and 56 of the 59 "poor" enhancers (ER<10). Overall success rates were similar. However, the pharmaceutical advantages of the Machine Learning methods are that they can provide more accurate classification of enhancer type with fewer false-positive results and that, unlike discriminant analysis, they are able to make predictions of enhancer ability.

  20. Automated analysis of sequence polymorphism in STR alleles by PCR and direct electrospray ionization mass spectrometry.

    PubMed

    Planz, John V; Sannes-Lowery, Kristen A; Duncan, David D; Manalili, Sheri; Budowle, Bruce; Chakraborty, Ranajit; Hofstadler, Steven A; Hall, Thomas A

    2012-09-01

    Short tandem repeats (STRs) are the primary genetic markers used for the analysis of biological samples in forensic and human identity testing. The discrimination power of a combination of STRs is sufficient in many human identity testing comparisons unless the evidence is substantially compromised and/or there are insufficient relatives or a potential mutation may have arisen in kinship analyses. An automated STR assay system that is based on electrospray ionization mass spectrometry (ESI-MS) has been developed that can increase the discrimination power of some of the CODIS core STR loci and thus provide more information in typical and challenged samples and cases. Data from the ESI-MS STR system is fully backwards compatible with existing STR typing results generated by capillary electrophoresis. In contrast, however, the ESI-MS analytical system also reveals nucleotide polymorphisms residing within the STR alleles. The presence of these polymorphisms expands the number of alleles at a locus. Population studies were performed on the 13 core CODIS STR loci from African Americans, Caucasians and Hispanics capturing both the length of the allele, as well as nucleotide variations contained within repeat motifs or flanking regions. Such additional polymorphisms were identified in 11 of the 13 loci examined whereby several nominal length alleles were subdivided. A substantial increase in heterozygosity was observed, with close to or greater than 5% of samples analyzed being heterozygous with equal-length alleles in at least one of five of the core CODIS loci. This additional polymorphism increases discrimination power significantly, whereby the seven most polymorphic STR loci have a discrimination power equivalent to the 10 most discriminating of the CODIS core loci. An analysis of substructure among the three population groups revealed a higher θ than would be observed compared with using alleles designated by nominal length, i.e., repeats solely. Two loci, D3S1358

  1. Discriminating between camouflaged targets by their time of detection by a human-based observer assessment method

    NASA Astrophysics Data System (ADS)

    Selj, G. K.; Søderblom, M.

    2015-10-01

    Detection of a camouflaged object in natural sceneries requires the target to be distinguishable from its local background. The development of any new camouflage pattern therefore has to rely on a well-founded test methodology - which has to be correlated with the final purpose of the pattern - as well as an evaluation procedure, containing the optimal criteria for i) discriminating between the targets and then eventually ii) for a final rank of the targets. In this study we present results from a recent camouflage assessment trial where human observers were used in a search by photo methodology to assess generic test camouflage patterns. We conducted a study to investigate possible improvements in camouflage patterns for battle dress uniforms. The aim was to do a comparative study of potential, and generic patterns intended for use in arid areas (sparsely vegetated, semi desert). We developed a test methodology that was intended to be simple, reliable and realistic with respect to the operational benefit of camouflage. Therefore we chose to conduct a human based observer trial founded on imagery of realistic targets in natural backgrounds. Inspired by a recent and similar trial in the UK, we developed new and purpose-based software to be able to conduct the observer trial. Our preferred assessment methodology - the observer trial - was based on target recordings in 12 different, but operational relevant scenes, collected in a dry and sparsely vegetated area (Rhodes). The scenes were chosen with the intention to span as broadly as possible. The targets were human-shaped mannequins and were situated identically in each of the scenes to allow for a relative comparison of camouflage effectiveness in each scene. Test of significance, among the targets' performance, was carried out by non-parametric tests as the corresponding time of detection distributions in overall were found to be difficult to parameterize. From the trial, containing 12 different scenes from

  2. Allele-specific PCR for the beta-tubulin codon 200 TTC/TAC polymorphism using single adult and larval small strongyle (Cyathostominae) stages.

    PubMed

    von Samson-Himmelstjerna, G; Pape, M; von Witzendorff, C; Schnieder, T

    2002-04-01

    It has been shown that benzimidazole (BZ) resistance in sheep gastrointestinal nematodes is linked with an increase in beta-tubulin codon 200 tyrosine-expressing alleles in the resistant parasite populations. Here, an allele-specific PCR has been developed for the discrimination of the TAC/TTC polymorphism in the beta-tubulin 200 codon of small strongyles. One reverse primer was used in 2 separate amplifications with 1 of 2 forward primers that differed only in their final 3' nucleotide. The primers flank a facultative intron/exon. Therefore, the amplified fragments are either 251 or 308 bp in size, depending on the presence or absence of the intron in individual worms. Amplification of genomic DNA isolated from single adult small strongyles from a set of 7 species consistently generated allele-specific products. Three worms each of the following species were used: Cylicocyclus nassatus, Cylicocyclus insigne, Cylicocyclus elongatus, Cylicocyclus radiatus, Cyathostomum pateratum, Cyathostomum catinatum, and Cyathostomum coronatum. PCR with DNA isolated from single larvae also reproducibly generated specific fragments. This method might be applied for the future assessment of allele frequencies in susceptible and resistant populations to further investigate the mechanism of BZ-resistance in small strongyles. PMID:12053994

  3. Invasive Allele Spread under Preemptive Competition

    NASA Astrophysics Data System (ADS)

    Yasi, J. A.; Korniss, G.; Caraco, T.

    We study a discrete spatial model for invasive allele spread in which two alleles compete preemptively, initially only the "residents" (weaker competitors) being present. We find that the spread of the advantageous mutation is well described by homogeneous nucleation; in particular, in large systems the time-dependent global density of the resident allele is well approximated by Avrami's law.

  4. Allele-specific MMP-3 transcription under in vivo conditions

    SciTech Connect

    Zhu Chaoyong; Odeberg, Jacob; Hamsten, Anders; Eriksson, Per . E-mail: Per.Eriksson@ki.se

    2006-09-29

    A common matrix metalloproteinases-3 (MMP-3) -1612 5A/6A promoter polymorphism is associated with risk for cardiovascular disease, rheumatoid arthritis, and other diseases. Here we used the haplotype chromatin immunoprecipitation method to study allele-specific MMP-3 expression under in vivo conditions in heterozygous THP-1 cells. Pyrosequencing was used to analyse the ratio of 5A-allele to 6A-allele after chromatin immunoprecipitation using an antibody against phosphorylated active RNA polymerase II. There was no allele-specific difference in transcriptional activity during basal conditions, i.e., in unstimulated monocytic THP-1 cells. However, after stimulation of MMP-3 expression by monocyte differentiation or incubation with IL-1{beta}, the haplotype containing the 5A-allele was associated with higher transcriptional activity compared with the 6A-containing haplotype. Electromobility shift assay demonstrated increased binding of nuclear proteins to the 5A-allele after monocyte differentiation. In conclusion, the common MMP-3 5A/6A promoter polymorphism appears to be functional only during specific environmental conditions involving inflammation.

  5. Methodology for target discrimination.

    PubMed

    McNolty, F; Clow, R

    1980-03-15

    The objective is to distinguish the true target from point-target imitators and from extended-target clutter in the exoatmospheric regime. Matched filters are carefully studied from the viewpoint of SNR enhancement and pulse recognition. The matched filter structure takes into account photon noise, modulation noise, generation-recombination (GR) noise, contact noise, and various thermal noise sources. A multicolor radiant-intensity structure for target discrimination is developed by analyzing the uncertainties in such target irradiance parameters as range, temperature, projected area, and emissivity. Bias terms, variances, and other statistical descriptors are derived. Certain statistical discrimination techniques are discussed that exploit the radiant-intensity format. Helstrom's method for processing radar signals is adapted to a fourchannel pulse-recognition system for which degradation due to arrival time delays and mismatched filters is discussed.

  6. Allele walking: a new and highly accurate approach to HLA-DRB1 typing. Application to DRB1*04 alleles.

    PubMed

    Nieto, A; Tobes, R; Martín, J; Pareja, E

    1997-02-01

    We have developed a typing method, which can be used even in small laboratories, to produce a highly accurate and reliable allele assignment in any homozygous or heterozygous situation. We have called the method allele walking (AW) and it consists of sequential rounds of PCR-RFLP. After digestion, electrophoresis separates alleles positive for the mutation from the negative alleles; the cleaved fragment is then recovered from the gel and analyzed for mutations at another codon. In this way, AW is able to positively ascertain which mutations are in the same chromosome (cis-linkage) and assigns alleles independently from each other. Artificial sites are created in the PCR step in order to positively detect substitutions not naturally recognized by any of the existing or convenient enzymes. We report the application of AW for typing the 22 DRB1*04 alleles. The first PCR-RFLP round groups DRB1*04 alleles. Subsequently, the mutations at codons 86, 74, 71, 57 and 37 can be analyzed for the unambiguous assignment of the majority of the alleles. Additional polymorphisms at different codons can be assayed to resolve any undetermined alleles. The viability of all the restriction sites used as well as the feasibility of AW were successfully tested. PMID:9062970

  7. Assessing allelic dropout and genotype reliability using maximum likelihood.

    PubMed Central

    Miller, Craig R; Joyce, Paul; Waits, Lisette P

    2002-01-01

    A growing number of population genetic studies utilize nuclear DNA microsatellite data from museum specimens and noninvasive sources. Genotyping errors are elevated in these low quantity DNA sources, potentially compromising the power and accuracy of the data. The most conservative method for addressing this problem is effective, but requires extensive replication of individual genotypes. In search of a more efficient method, we developed a maximum-likelihood approach that minimizes errors by estimating genotype reliability and strategically directing replication at loci most likely to harbor errors. The model assumes that false and contaminant alleles can be removed from the dataset and that the allelic dropout rate is even across loci. Simulations demonstrate that the proposed method marks a vast improvement in efficiency while maintaining accuracy. When allelic dropout rates are low (0-30%), the reduction in the number of PCR replicates is typically 40-50%. The model is robust to moderate violations of the even dropout rate assumption. For datasets that contain false and contaminant alleles, a replication strategy is proposed. Our current model addresses only allelic dropout, the most prevalent source of genotyping error. However, the developed likelihood framework can incorporate additional error-generating processes as they become more clearly understood. PMID:11805071

  8. Positive Association Between Type 2 Diabetes Risk Alleles Near CDKAL1 and Reduced Birthweight in Chinese Han Individuals

    PubMed Central

    Sun, Xiao-Fang; Xiao, Xin-Hua; Zhang, Zhen-Xin; Liu, Ying; Xu, Tao; Zhu, Xi-Lin; Zhang, Yun; Wu, Xiao-Pan; Li, Wen-Hui; Zhang, Hua-Bing; Yu, Miao

    2015-01-01

    Background: Fetal insulin hypothesis was proposed that the association between low birth weight and type 2 diabetes is principally genetically mediated. The aim of this study was to investigate whether common variants in genes CDKAL1, HHEX, ADCY5, SRR, PTPRD that predisposed to type 2 diabetes were also associated with reduced birthweight in Chinese Han population. Methods: Twelve single nucleotide polymorphisms (rs7756992/rs10946398 in CDKAL1, rs1111875 in HHEX, rs391300 in SRR, rs17584499 in PTPRD, rs1170806/rs9883204/rs4678017/rs9881942/rs7641344/rs6777397/rs6226243 in ADCY5) were genotyped in 1174 unrelated individuals born in Peking Union Medical College Hospital from 1921 to 1954 by TaqMan allelic discrimination assays, of which 645 had normal glucose tolerance, 181 had developed type 2 diabetes and 348 impaired glucose regulation. Associations of these 12 genetic variants with birthweight and glucose metabolism in later life were analyzed. Results: Birthweight was inversely associated with CDKAL1-rs10946398 (β = −41 g [95% confidence interval [CI]: −80, −3], P = 0.034), common variants both associated with increased risk of impaired glucose metabolism and decreased insulin secretion index later in life. After adjusting for sex, gestational weeks, parity and maternal age, the risk allele of CDKAL1-rs7756992 was associated with reduced birthweight (β = −36 g [95% CI: −72, −0.2], P = 0.048). The risk allele in SRR showed a trend toward a reduction of birthweight (P = 0.085). Conclusions: This study identified the association between type 2 diabetes risk variants in CDKAL1 and birthweight in Chinese Han individuals, and the carrier of risk allele within SRR had the trend of reduced birthweight. This demonstrates that there is a clear overlap between the genetics of type 2 diabetes and fetal growth, which proposes that lower birth weight and type 2 diabetes may be two phenotypes of one genotype. PMID:26168825

  9. Comparison of geometric morphometric outline methods in the discrimination of age-related differences in feather shape

    PubMed Central

    Sheets, H David; Covino, Kristen M; Panasiewicz, Joanna M; Morris, Sara R

    2006-01-01

    Background Geometric morphometric methods of capturing information about curves or outlines of organismal structures may be used in conjunction with canonical variates analysis (CVA) to assign specimens to groups or populations based on their shapes. This methodological paper examines approaches to optimizing the classification of specimens based on their outlines. This study examines the performance of four approaches to the mathematical representation of outlines and two different approaches to curve measurement as applied to a collection of feather outlines. A new approach to the dimension reduction necessary to carry out a CVA on this type of outline data with modest sample sizes is also presented, and its performance is compared to two other approaches to dimension reduction. Results Two semi-landmark-based methods, bending energy alignment and perpendicular projection, are shown to produce roughly equal rates of classification, as do elliptical Fourier methods and the extended eigenshape method of outline measurement. Rates of classification were not highly dependent on the number of points used to represent a curve or the manner in which those points were acquired. The new approach to dimensionality reduction, which utilizes a variable number of principal component (PC) axes, produced higher cross-validation assignment rates than either the standard approach of using a fixed number of PC axes or a partial least squares method. Conclusion Classification of specimens based on feather shape was not highly dependent of the details of the method used to capture shape information. The choice of dimensionality reduction approach was more of a factor, and the cross validation rate of assignment may be optimized using the variable number of PC axes method presented herein. PMID:16978414

  10. Comparison of charged particle identification using pulse shape discrimination and ΔE-E methods between front and rear side injection in silicon detectors

    NASA Astrophysics Data System (ADS)

    Le Neindre, N.; Bougault, R.; Barlini, S.; Bonnet, E.; Borderie, B.; Casini, G.; Chbihi, A.; Edelbruck, P.; Frankland, J. D.; Gruyer, D.; Legouée, E.; Lopez, O.; Marini, P.; Pârlog, M.; Pasquali, G.; Petcu, M.; Rivet, M. F.; Salomon, F.; Vient, E.; Alba, R.; Baiocco, G.; Bardelli, L.; Bini, M.; Borcea, R.; Bruno, M.; Carboni, S.; Cinausero, M.; Cruceru, I.; Degerlier, M.; Dueñas, J. A.; GaŞior, K.; Gramegna, F.; Grzeszczuk, A.; Kamuda, M.; Kozik, T.; Kravchuk, V.; Lombardo, I.; Maiolino, C.; Marchi, T.; Morelli, L.; Negoita, F.; Olmi, A.; Petrascu, H.; Piantelli, S.; Poggi, G.; Rosato, E.; Santonocito, D.; Spadaccini, G.; Stefanini, A. A.; Twaróg, T.; Vigilante, M.; Fazia Collaboration

    2013-02-01

    The response of silicon-silicon-CsI(Tl) telescopes, developed within the FAZIA collaboration, to fragments produced in nuclear reactions 84Kr+120-124Sn at 35 A MeV, has been used to study ion identification methods. Two techniques are considered for the identification of the nuclear products in the silicon stages. The standard ΔE-E one requires signals induced in two detection layers by ions punching through the first one. Conversely, the digital Pulse Shape Analysis (PSA) allows the identification of ions stopped in the first silicon layer. The capabilities of these two identification methods have been compared for different mountings of the silicons, i.e. rear (particles entering through the low electric field side) or front (particles entering through the high electric field side) side injection. The ΔE-E identification method gives exactly the same results in both configurations. At variance, the pulse shape discrimination is very sensitive to the detector mounting. In case of rear side injection, the identification with the “energy vs. charge rise time” PSA method presents energy thresholds which are significantly lower than in the case of front side injection.

  11. Advancing allele group-specific amplification of the complete HLA-C gene--isolation of novel alleles from three allele groups (C*04, C*07 and C*08).

    PubMed

    Cisneros, E; Martínez-Pomar, N; Vilches, M; Martín, P; de Pablo, R; Nuñez Del Prado, N; Nieto, A; Matamoros, N; Moraru, M; Vilches, C

    2013-10-01

    A variety of strategies have been designed for sequence-based HLA typing (SBT) and for the isolation of new human leucocyte antigen (HLA) alleles, but unambiguous characterization of complete genomic sequences remains a challenge. We recently reported a simple method for the group-specific amplification (GSA) and sequencing of a full-length C*04 genomic sequence in isolation from the accompanying allele. Here we build on this strategy and present homologous methods that enable the isolation of HLA-C alleles belonging to another two allele groups. Using this approach, which can be applied to sequence-based typing in some clinical settings, we have successfully characterized three novel HLA-C alleles (C*04:128, C*07:01:01:02, and C*08:62).

  12. RHD allele distribution in Africans of Mali

    PubMed Central

    Wagner, Franz F; Moulds, Joann M; Tounkara, Anatole; Kouriba, Bourema; Flegel, Willy A

    2003-01-01

    Background Aberrant and non-functional RHD alleles are much more frequent in Africans than in Europeans. The DAU cluster of RHD alleles exemplifies that the alleles frequent in Africans have evaded recognition until recently. A comprehensive survey of RHD alleles in any African population was lacking. Results We surveyed the molecular structure and frequency of RHD alleles in Mali (West Africa) by evaluating 116 haplotypes. Only 69% could be attributed to standard RHD (55%) or the RHD deletion (14%). The aberrant RHD allele DAU-0 was predicted for 19%, RHDΨ for 7% and Ccdes for 4% of all haplotypes. DAU-3 and the new RHD allele RHD(L207F), dubbed DMA, were found in one haplotype each. A PCR-RFLP for the detection of the hybrid Rhesus box diagnostic for the RHD deletion in Europeans was false positive in 9 individuals, including all carriers of RHDΨ . Including two silent mutations and the RHD deletion, a total of 9 alleles could be differentiated. Conclusion Besides standard RHD and the RHD deletion, DAU-0, RHDΨ and Ccdes are major alleles in Mali. Our survey proved that the most frequent alleles of West Africans have been recognized allowing to devise reliable genotyping and phenotyping strategies. PMID:14505497

  13. A method of discriminating transuranic radionuclides from radon progeny using low-resolution alpha spectroscopy and curve-fitting techniques.

    PubMed

    Konzen, Kevin; Brey, Richard

    2012-05-01

    ²²²Rn (radon) and ²²⁰Rn (thoron) progeny are known to interfere with determining the presence of long-lived transuranic radionuclides, such as plutonium and americium, and require from several hours up to several days for conclusive results. Methods are proposed that should expedite the analysis of air samples for determining the amount of transuranic radionuclides present using low-resolution alpha spectroscopy systems available from typical alpha continuous air monitors (CAMs) with multi-channel analyzer (MCA) capabilities. An alpha spectra simulation program was developed in Microsoft Excel visual basic that employed the use of Monte Carlo numerical methods and serial-decay differential equations that resembled actual spectra. Transuranic radionuclides were able to be quantified with statistical certainty by applying peak fitting equations using the method of least squares. Initial favorable results were achieved when samples containing radon progeny were decayed 15 to 30 min, and samples containing both radon and thoron progeny were decayed at least 60 min. The effort indicates that timely decisions can be made when determining transuranic activity using available alpha CAMs with alpha spectroscopy capabilities for counting retrospective air samples if accompanied by analyses that consider the characteristics of serial decay.

  14. How the Number of Alleles Influences Gene Expression

    NASA Astrophysics Data System (ADS)

    Hat, Beata; Paszek, Pawel; Kimmel, Marek; Piechor, Kazimierz; Lipniacki, Tomasz

    2007-07-01

    The higher organisms, eukaryotes, are diploid and most of their genes have two homological copies (alleles). However, the number of alleles in a cell is not constant. In the S phase of the cell cycle all the genome is duplicated and then in the G2 phase and mitosis, which together last for several hours, most of the genes have four copies instead of two. Cancer development is, in many cases, associated with a change in allele number. Several genetic diseases are caused by haploinsufficiency: Lack of one of the alleles or its improper functioning. In the paper we consider the stochastic expression of a gene having a variable number of copies. We applied our previously developed method in which the reaction channels are split into slow (connected with change of gene state) and fast (connected with mRNA/protein synthesis/decay), the later being approximated by deterministic reaction rate equations. As a result we represent gene expression as a piecewise deterministic time-continuous Markov process, which is further related with a system of partial differential hyperbolic equations for probability density functions (pdfs) of protein distribution. The stationary pdfs are calculated analytically for haploidal gene or numerically for diploidal and tetraploidal ones. We distinguished nine classes of simultaneous activation of haploid, diploid and tetraploid genes. This allows for analysis of potential consequences of gene duplication or allele loss. We show that when gene activity is autoregulated by a positive feedback, the change in number of gene alleles may have dramatic consequences for its regulation and may not be compensated by the change of efficiency of mRNA synthesis per allele.

  15. Workplace discrimination: experiences of practicing physicians.

    PubMed Central

    Coombs, Alice A. Tolbert; King, Roderick K.

    2005-01-01

    BACKGROUND: In response to a growing concern regarding physician discrimination in the workplace, this study was developed to: (1) describe the types of discrimination that exist for the practicing physician and (2) determine which groups of physicians are more likely to experience the various forms of discrimination. METHODS: Surveys were mailed to 1930 practicing physicians in Massachusetts. Participants were asked if they had encountered discrimination, how significant the discrimination was against a specific group, the frequency of personal discrimination, and the type of discrimination. Factor analysis identified four types of discrimination: career advancement, punitive behaviors, practice barriers and hiring barriers. RESULTS: A total of 445 responses were received (a 24% response rate). Sixty-three percent of responding physicians had experienced some form of discrimination. Respondents were women (46%), racial/ethnic minorities (42%) and international medical graduates (IMGs) (40%). In addition, 26% of those classified as white were also IMGs. Over 60% of respondents believed discrimination against IMGs was very or somewhat significant. Almost 27% of males acknowledged that gender bias against females was very or somewhat significant. IMGs were more likely to indicate that discrimination against IMGs was significant in their current organization. Of U.S. medical graduates (USMGs) 44% reported that discrimination against IMGs in their current organization was significant. Nonwhites were more likely to report that discrimination based on race/ethnicity was significant. Nearly 29% of white respondents also believed that such discrimination was very or somewhat significant. CONCLUSIONS: Physicians practicing in academic, research, and private practice sectors experience discrimination based on gender, ethnic/racial, and IMG status. Images Figure 3 Figure 4 Figure 5 PMID:15868767

  16. Discrimination of edible oils and fats by combination of multivariate pattern recognition and FT-IR spectroscopy: a comparative study between different modeling methods.

    PubMed

    Javidnia, Katayoun; Parish, Maryam; Karimi, Sadegh; Hemmateenejad, Bahram

    2013-03-01

    By using FT-IR spectroscopy, many researchers from different disciplines enrich the experimental complexity of their research for obtaining more precise information. Moreover chemometrics techniques have boosted the use of IR instruments. In the present study we aimed to emphasize on the power of FT-IR spectroscopy for discrimination between different oil samples (especially fat from vegetable oils). Also our data were used to compare the performance of different classification methods. FT-IR transmittance spectra of oil samples (Corn, Colona, Sunflower, Soya, Olive, and Butter) were measured in the wave-number interval of 450-4000 cm(-1). Classification analysis was performed utilizing PLS-DA, interval PLS-DA, extended canonical variate analysis (ECVA) and interval ECVA methods. The effect of data preprocessing by extended multiplicative signal correction was investigated. Whilst all employed method could distinguish butter from vegetable oils, iECVA resulted in the best performances for calibration and external test set with 100% sensitivity and specificity.

  17. Discrimination of edible oils and fats by combination of multivariate pattern recognition and FT-IR spectroscopy: A comparative study between different modeling methods

    NASA Astrophysics Data System (ADS)

    Javidnia, Katayoun; Parish, Maryam; Karimi, Sadegh; Hemmateenejad, Bahram

    2013-03-01

    By using FT-IR spectroscopy, many researchers from different disciplines enrich the experimental complexity of their research for obtaining more precise information. Moreover chemometrics techniques have boosted the use of IR instruments. In the present study we aimed to emphasize on the power of FT-IR spectroscopy for discrimination between different oil samples (especially fat from vegetable oils). Also our data were used to compare the performance of different classification methods. FT-IR transmittance spectra of oil samples (Corn, Colona, Sunflower, Soya, Olive, and Butter) were measured in the wave-number interval of 450-4000 cm-1. Classification analysis was performed utilizing PLS-DA, interval PLS-DA, extended canonical variate analysis (ECVA) and interval ECVA methods. The effect of data preprocessing by extended multiplicative signal correction was investigated. Whilst all employed method could distinguish butter from vegetable oils, iECVA resulted in the best performances for calibration and external test set with 100% sensitivity and specificity.

  18. Hiding an image with a light-scattering medium and use of a contrast-discrimination method for readout.

    PubMed

    Hayasaki, Yoshio; Matsuba, Yoshiaki; Nagaoka, Atsushi; Yamamoto, Hirotsugu; Nishida, Nobuo

    2004-03-01

    Hiding image data with a material such as a light-scattering medium is useful as an initial stage of data protection, because the hidden image can be detected only by observation with a specific technique. A light-scattering medium is used to hide the image data, and a low-temporal-coherence interferometer performs the readout processing. A new readout method for detecting pixel values of the image is proposed to overcome spatial variation of the light intensity and distortion of the interference fringes. The introduction of spatial coding further improves the performance by overcoming spatial variations of the light-scattering medium and variations in the reflectance of given pixels.

  19. Production of monoclonal antibodies specific for Haemophilus ducreyi: a screening method to discriminate specific and cross-reacting antibodies.

    PubMed

    Odumeru, J A; Alfa, M J; Martin, C F; Ronald, A R; Jay, F T

    1989-06-01

    Haemophilus ducreyi is the etiological agent of chancroid. The organism shares extensive immunological cross-reactivity with other Haemophilus species. This presents substantial difficulties for the production of specific monoclonal antibodies (MAbs). A competition ELISA was devised for hybridoma screening which allowed the detection of H. ducreyi-specific antibody-producing hybridoma cultures during the initial screening process. With this screening method, seven MAbs specific for H. ducreyi were obtained in a single cell fusion exercise. The specificities of the 7 MAbs were demonstrated by direct ELISA and dot immunobinding assays against several strains each of H. influenzae, H. parainfluenzae and Neisseria gonorrhoeae. Five of the MAbs reacted against all ten strains of H. ducreyi. These MAbs may permit the development of rapid and efficient immunodiagnostics for chancroid. The principle of the competition ELISA for hybridoma screening should be widely applicable to the development of specific MAbs to other organisms in which immunological cross-reactivity is an impediment to hybridoma screening by conventional methods. PMID:2787274

  20. Development and validation of an HPTLC method for apigenin 7-O-glucoside in chamomile flowers and its application for fingerprint discrimination of chamomile-like materials.

    PubMed

    Guzelmeric, Etil; Vovk, Irena; Yesilada, Erdem

    2015-03-25

    Brewed tea of chamomile flowers (Matricaria recutita L.) (Asteraceae) has been extensively consumed for centuries due to either its pleasant taste or medicinal purposes. On the other hand, the major problem is difficulty in distinguishing the genuine specimen when supplying chamomile through nature-picking. Consequently flowers of other Asteraceae members resembling to chamomile in appearance may frequently be practiced by lay people or marketed in spice shops or bazaars. Evidently detection of such adulterations plays a vital role in terms of public health to avoid risk of toxicity (i.e. pyrazolidin alkaloids) and ineffective treatments (lack or insufficient concentration of the active constituents). This work presents either development and validation of a high performance thin-layer chromatographic (HPTLC) method for apigenin 7-O-glucoside which is one of the active markers in chamomile flowers or its application for the fingerprint discrimination of chamomile-like materials i.e. Anthemis spp., Bellis spp., Chrysanthemum sp. and Tanacetum sp. gathered by local people assuming as chamomile. Separation was performed on the silica gel 60 NH2 F254s HPTLC plates using the developing solvent system of ethyl acetate-formic acid-acetic acid-water (30:1.5:1.5:3, v/v/v/v). The proposed HPTLC method may also be a leading guide for the quality assessment of chamomile tea products on the market.

  1. Development and validation of an HPTLC method for apigenin 7-O-glucoside in chamomile flowers and its application for fingerprint discrimination of chamomile-like materials.

    PubMed

    Guzelmeric, Etil; Vovk, Irena; Yesilada, Erdem

    2015-03-25

    Brewed tea of chamomile flowers (Matricaria recutita L.) (Asteraceae) has been extensively consumed for centuries due to either its pleasant taste or medicinal purposes. On the other hand, the major problem is difficulty in distinguishing the genuine specimen when supplying chamomile through nature-picking. Consequently flowers of other Asteraceae members resembling to chamomile in appearance may frequently be practiced by lay people or marketed in spice shops or bazaars. Evidently detection of such adulterations plays a vital role in terms of public health to avoid risk of toxicity (i.e. pyrazolidin alkaloids) and ineffective treatments (lack or insufficient concentration of the active constituents). This work presents either development and validation of a high performance thin-layer chromatographic (HPTLC) method for apigenin 7-O-glucoside which is one of the active markers in chamomile flowers or its application for the fingerprint discrimination of chamomile-like materials i.e. Anthemis spp., Bellis spp., Chrysanthemum sp. and Tanacetum sp. gathered by local people assuming as chamomile. Separation was performed on the silica gel 60 NH2 F254s HPTLC plates using the developing solvent system of ethyl acetate-formic acid-acetic acid-water (30:1.5:1.5:3, v/v/v/v). The proposed HPTLC method may also be a leading guide for the quality assessment of chamomile tea products on the market. PMID:25575175

  2. Visualization of Term Discrimination Analysis.

    ERIC Educational Resources Information Center

    Zhang, Jin; Wolfram, Dietmar

    2001-01-01

    Discusses information visualization techniques and introduces a visual term discrimination value analysis method using a document density space within a distance-angle-based visual information retrieval environment. Explains that applications of these methods facilitate more effective assignment of term weights to index terms within documents and…

  3. Allele-Specific DNA Methylation Detection by Pyrosequencing®.

    PubMed

    Kristensen, Lasse Sommer; Johansen, Jens Vilstrup; Grønbæk, Kirsten

    2015-01-01

    DNA methylation is an epigenetic modification that plays important roles in healthy as well as diseased cells, by influencing the transcription of genes. In spite the fact that human somatic cells are diploid, most of the currently available methods for the study of DNA methylation do not provide information on the methylation status of individual alleles of genes. This information may be of importance in many situations. In particular, in cancer both alleles of tumour suppressor genes generally need to be inactivated for a phenotypic effect to be observed. Here, we present a simple and cost-effective protocol for allele-specific DNA methylation detection based on Pyrosequencing(®) of methylation-specific PCR (MSP) products including a single nucleotide polymorphism (SNP) within the amplicon. PMID:26103906

  4. A novel fluorescent quadruplex STR typing system and the allele frequency distributions in a Thai population.

    PubMed

    Yoshimoto, Takashi; Yamamoto, Toshimichi; Mizutani, Masaki; Uchihi, Rieko; Ohtaki, Hiroyuki; Katsumata, Yoshinao; Waiyawuth, Worawee; Songsivilai, Sirirurg

    2003-01-01

    We have previously reported a new triplex amplification and typing system by silver staining for three short tandem repeat (STR) loci, 9q2h2 (D2S3020), D15S233, and D14S299 without "microvariant" alleles such as .1, .2, and, .3 alleles in the Japanese population. In the present study, we established a new quadruplex system with an additional locus D7S809 using primer sets labeled with fluorescent multi-color dyes. Using this system, we genotyped 183 Thai people, found only one "microvariant" allele (allele 20.2) at D7S809, and calculated allele frequencies and some statistical properties at these four STR loci. From these allele frequencies at four STR loci, we performed three statistical analyses including a homozygosity test, a likelihood ratio test, and an exact test for Hardy-Weinberg equilibrium (HWE). Deviations from HWE (p < 0.05) were observed only in the two tests at the locus D7S809. In the present study, we compared the allele frequencies at these four loci in the Thai population to those in the Japanese population described previously. Consequently, all observed heterozygosities and power of discrimination (PD) at those loci in the Thai population were higher than 0.8 and 0.9, respectively, and all statistical values for discriminating power in the Thai population were slightly higher than those in the Japanese population. The combined paternity exclusion rate (combined PE) in the Thai population (0.978) was almost the same as that in the Japanese population (0.971). Therefore, this novel PCR amplification and typing system for four STR loci would be a convenient and informative DNA profiling system in the forensic field. PMID:12570210

  5. Discriminative clustering via extreme learning machine.

    PubMed

    Huang, Gao; Liu, Tianchi; Yang, Yan; Lin, Zhiping; Song, Shiji; Wu, Cheng

    2015-10-01

    Discriminative clustering is an unsupervised learning framework which introduces the discriminative learning rule of supervised classification into clustering. The underlying assumption is that a good partition (clustering) of the data should yield high discrimination, namely, the partitioned data can be easily classified by some classification algorithms. In this paper, we propose three discriminative clustering approaches based on Extreme Learning Machine (ELM). The first algorithm iteratively trains weighted ELM (W-ELM) classifier to gradually maximize the data discrimination. The second and third methods are both built on Fisher's Linear Discriminant Analysis (LDA); but one approach adopts alternative optimization, while the other leverages kernel k-means. We show that the proposed algorithms can be easily implemented, and yield competitive clustering accuracy on real world data sets compared to state-of-the-art clustering methods. PMID:26143036

  6. Electrochemical detection of point mutation based on surface hybridization assay conjugated allele-specific polymerase chain reaction.

    PubMed

    Huang, Yong; Zhu, Jing; Li, Guiyin; Chen, Zhencheng; Jiang, Jian-Hui; Shen, Guo-Li; Yu, Ru-Qin

    2013-04-15

    In this work, we developed an electrochemical detection method based on allele-specific polymerase chain reaction (AS-PCR) and surface hybridization assay technique for the point mutation detection. A high-fidelity Vent(R)™(exo⁻) DNA polymerase, which eliminated the 3'→5' proofreading exonuclease activity by genetical engineering, was used to discriminate and extend the detection probe that perfectly matched with mutant target DNA and generate a redox-active DNA replica which folded into a molecular beacon structure by intramolecular hybridization. After hybridized with capture probe modified on gold electrode by self-assembly reaction, the redox tags can be closed to electrode, resulting in a substantial current with the maximized sensitivity for point mutation analysis. However, when there is an allele mismatch in the wild target DNA, and so no the redox-active replica DNA can be obtained. In this case, no remarkable current signal can be trigged. The proposed approach has been successfully implemented for the identification of single base mutation at the -28 position in human β-globin gene with a detection limit of 0.5 fM, demonstrating that this method provides a highly specific, sensitive and cost-efficient approach for point mutation detection.

  7. Discrimination in Employment.

    ERIC Educational Resources Information Center

    Kovarsky, Irving

    Intended as a guide on discrimination problems and issues for students and practitioners in the area of employment relations, this book interrelates historical, religious, economic, medical, and sociological factors surrounding racial, religious, national, sex, age, and physical and mental discrimination to explain discrimination in employment.…

  8. Conservation of allelic richness in wild crop relatives is aided by assessment of genetic markers.

    PubMed Central

    Schoen, D J; Brown, A H

    1993-01-01

    Wild crop relatives are an important source of genetic variation for improving domesticated species. Given limited resources, methods for maximizing the genetic diversity of collections of wild relatives are needed to help spread protection over a larger number of populations and species. Simulations were conducted to investigate the optimal strategy of sampling materials from populations of wild relatives, with the objective of maximizing the number of alleles (allelic richness) in collections of fixed size. Two methods, based on assessing populations for variation at marker loci (e.g., allozymes, restriction fragment length polymorphisms), were developed and compared with several methods that are not dependent on markers. Marker-assisted methods yielded higher overall allelic richness in the simulated collections, and they were particularly effective in conserving geographically localized alleles, the class of alleles that is most subject to loss. PMID:8248153

  9. Investigating the limitations of tree species classification using the Combined Cluster and Discriminant Analysis method for low density ALS data from a dense forest region in Aggtelek (Hungary)

    NASA Astrophysics Data System (ADS)

    Koma, Zsófia; Deák, Márton; Kovács, József; Székely, Balázs; Kelemen, Kristóf; Standovár, Tibor

    2016-04-01

    Airborne Laser Scanning (ALS) is a widely used technology for forestry classification applications. However, single tree detection and species classification from low density ALS point cloud is limited in a dense forest region. In this study we investigate the division of a forest into homogenous groups at stand level. The study area is located in the Aggtelek karst region (Northeast Hungary) with a complex relief topography. The ALS dataset contained only 4 discrete echoes (at 2-4 pt/m2 density) from the study area during leaf-on season. Ground-truth measurements about canopy closure and proportion of tree species cover are available for every 70 meter in 500 square meter circular plots. In the first step, ALS data were processed and geometrical and intensity based features were calculated into a 5×5 meter raster based grid. The derived features contained: basic statistics of relative height, canopy RMS, echo ratio, openness, pulse penetration ratio, basic statistics of radiometric feature. In the second step the data were investigated using Combined Cluster and Discriminant Analysis (CCDA, Kovács et al., 2014). The CCDA method first determines a basic grouping for the multiple circle shaped sampling locations using hierarchical clustering and then for the arising grouping possibilities a core cycle is executed comparing the goodness of the investigated groupings with random ones. Out of these comparisons difference values arise, yielding information about the optimal grouping out of the investigated ones. If sub-groups are then further investigated, one might even find homogeneous groups. We found that low density ALS data classification into homogeneous groups are highly dependent on canopy closure, and the proportion of the dominant tree species. The presented results show high potential using CCDA for determination of homogenous separable groups in LiDAR based tree species classification. Aggtelek Karst/Slovakian Karst Caves" (HUSK/1101/221/0180, Aggtelek NP

  10. Rapid Microarray-Based Identification of Different mecA Alleles in Staphylococci

    PubMed Central

    Müller, Elke; Schwarz, Stefan; Hotzel, Helmut; Ehricht, Ralf

    2012-01-01

    To screen isolates and to identify mecA alleles, published mecA sequences were analyzed, and a microarray for the rapid discrimination of mecA alleles was designed. A GenBank analysis yielded 135 full-length gene sequences annotated as mecA. These sequences clustered into 32 different alleles corresponding to 28 unique amino acid sequences and to 15 distinct hybridization patterns on this microarray. A collection of 78 clinical and veterinary isolates of Staphylococcus spp. was characterized using this assay. Nine of the 15 expected patterns, as well as one as-yet-unknown pattern, were identified. These patterns were detected in various epidemic methicillin-resistant Staphylococcus aureus strains, in S. pseudintermedius, and in coagulase-negative species such as S. epidermidis, S. fleurettii, or S. haemolyticus. There was no correlation between the different mecA hybridization patterns and the SCCmec type. Determination of MICs showed that mecA alleles corresponding to only four of these nine patterns were associated with β-lactam resistance. The mecA alleles that did not confer β-lactam resistance were largely restricted to coagulase-negative staphylococci of animal origin, such as S. sciuri and S. vitulinus. Because of the diversity of sequences and the different impact on β-lactam susceptibility, the existence of different mecA alleles needs to be taken into account when designing diagnostic assays for the detection of mecA. PMID:22890767

  11. Rapid microarray-based identification of different mecA alleles in Staphylococci.

    PubMed

    Monecke, Stefan; Müller, Elke; Schwarz, Stefan; Hotzel, Helmut; Ehricht, Ralf

    2012-11-01

    To screen isolates and to identify mecA alleles, published mecA sequences were analyzed, and a microarray for the rapid discrimination of mecA alleles was designed. A GenBank analysis yielded 135 full-length gene sequences annotated as mecA. These sequences clustered into 32 different alleles corresponding to 28 unique amino acid sequences and to 15 distinct hybridization patterns on this microarray. A collection of 78 clinical and veterinary isolates of Staphylococcus spp. was characterized using this assay. Nine of the 15 expected patterns, as well as one as-yet-unknown pattern, were identified. These patterns were detected in various epidemic methicillin-resistant Staphylococcus aureus strains, in S. pseudintermedius, and in coagulase-negative species such as S. epidermidis, S. fleurettii, or S. haemolyticus. There was no correlation between the different mecA hybridization patterns and the SCCmec type. Determination of MICs showed that mecA alleles corresponding to only four of these nine patterns were associated with β-lactam resistance. The mecA alleles that did not confer β-lactam resistance were largely restricted to coagulase-negative staphylococci of animal origin, such as S. sciuri and S. vitulinus. Because of the diversity of sequences and the different impact on β-lactam susceptibility, the existence of different mecA alleles needs to be taken into account when designing diagnostic assays for the detection of mecA.

  12. Efficient genotype elimination via adaptive allele consolidation.

    PubMed

    De Francesco, Nicoletta; Lettieri, Giuseppe; Martini, Luca

    2012-01-01

    We propose the technique of Adaptive Allele Consolidation, that greatly improves the performance of the Lange-Goradia algorithm for genotype elimination in pedigrees, while still producing equivalent output. Genotype elimination consists in removing from a pedigree those genotypes that are impossible according to the Mendelian law of inheritance. This is used to find errors in genetic data and is useful as a preprocessing step in other analyses (such as linkage analysis or haplotype imputation). The problem of genotype elimination is intrinsically combinatorial, and Allele Consolidation is an existing technique where several alleles are replaced by a single “lumped” allele in order to reduce the number of combinations of genotypes that have to be considered, possibly at the expense of precision. In existing Allele Consolidation techniques, alleles are lumped once and for all before performing genotype elimination. The idea of Adaptive Allele Consolidation is to dynamically change the set of alleles that are lumped together during the execution of the Lange-Goradia algorithm, so that both high performance and precision are achieved. We have implemented the technique in a tool called Celer and evaluated it on a large set of scenarios, with good results.

  13. Estimating the age of alleles by use of intraallelic variability

    SciTech Connect

    Slatkin, M.; Rannala, B.

    1997-02-01

    A method is presented for estimating the age of an allele by use of its frequency and the extent of variation among different copies. The method uses the joint distribution of the number of copies in a population sample and the coalescence times of the intraallelic gene genealogy conditioned on the number of copies. The linear birth-death process is used to approximate the dynamics of a rare allele in a finite population. A maximum-likelihood estimate of the age of the allele is obtained by Monte Carlo integration over the coalescence times. The method is applied to two alleles at the cystic fibrosis (CFTR) locus, {Delta}F508 and G542X, for which intraallelic variability at three intronic microsatellite loci has been examined. Our results indicate that G542X is somewhat older than {Delta}F508. Although absolute estimates depend on the mutation rates at the microsatellite loci, our results support the hypothesis that {Delta}F508 arose <500 generations ({approx}10,000 years) ago. 32 refs., 4 figs.

  14. LLNL's Regional Seismic Discrimination Research

    SciTech Connect

    Hanley, W; Mayeda, K; Myers, S; Pasyanos, M; Rodgers, A; Sicherman, A; Walter, W

    1999-07-23

    As part of the Department of Energy's research and development effort to improve the monitoring capability of the planned Comprehensive Nuclear-Test-Ban Treaty international monitoring system, Lawrence Livermore Laboratory (LLNL) is testing and calibrating regional seismic discrimination algorithms in the Middle East, North Africa and Western Former Soviet Union. The calibration process consists of a number of steps: (1) populating the database with independently identified regional events; (2) developing regional boundaries and pre-identifying severe regional phase blockage zones; (3) measuring and calibrating coda based magnitude scales; (4a) measuring regional amplitudes and making magnitude and distance amplitude corrections (MDAC); (4b) applying the DOE modified kriging methodology to MDAC results using the regionalized background model; (5) determining the thresholds of detectability of regional phases as a function of phase type and frequency; (6) evaluating regional phase discriminant performance both singly and in combination; (7) combining steps 1-6 to create a calibrated discrimination surface for each stations; (8) assessing progress and iterating. We have now developed this calibration procedure to the point where it is fairly straightforward to apply earthquake-explosion discrimination in regions with ample empirical data. Several of the steps outlined above are discussed in greater detail in other DOE papers in this volume or in recent publications. Here we emphasize the results of the above process: station correction surfaces and their improvement to discrimination results compared with simpler calibration methods. Some of the outstanding discrimination research issues involve cases in which there is little or no empirical data. For example in many cases there is no regional nuclear explosion data at IMS stations or nearby surrogates. We have taken two approaches to this problem, first finding and using mining explosion data when available, and

  15. A Risk Allele for Nicotine Dependence in CHRNA5 Is a Protective Allele for Cocaine Dependence

    PubMed Central

    Grucza, Richard A; Wang, Jen C.; Stitzel, Jerry A.; Hinrichs, Anthony L.; Saccone, Scott F.; Saccone, Nancy L.; Bucholz, Kathleen K.; Cloninger, C. Robert; Neuman, Rosalind J.; Budde, John P.; Fox, Louis; Bertelsen, Sarah; Kramer, John; Hesselbrock, Victor; Tischfield, Jay; Nurnberger, John. I.; Almasy, Laura; Porjesz, Bernice; Kuperman, Samuel; Schuckit, Marc A.; Edenberg, Howard J.; Rice, John P.; Goate, Alison M.; Bierut, Laura J.

    2008-01-01

    Background A non-synonymous coding polymorphism, rs16969968, of the CHRNA5 gene which encodes the alpha-5 subunit of the nicotinic acetylcholine receptor (nAChR) has been found to be associated with nicotine dependence (20). The goal of the present study is to examine the association of this variant with cocaine dependence. Methods Genetic association analysis in two, independent samples of unrelated cases and controls; 1.) 504 European-American participating in the Family Study on Cocaine Dependence (FSCD); 2.) 814 European Americans participating in the Collaborative Study on the Genetics of Alcoholsim (COGA). Results In the FSCD, there was a significant association between the CHRNA5 variant and cocaine dependence (OR = 0.67 per allele, p = 0.0045, assuming an additive genetic model), but in the reverse direction compared to that previously observed for nicotine dependence. In multivariate analyses that controlled for the effects of nicotine dependence, both the protective effect for cocaine dependence and the previously documented risk effect for nicotine dependence were statistically significant. The protective effect for cocaine dependence was replicated in the COGA sample. In COGA, effect sizes for habitual smoking, a proxy phenotype for nicotine dependence, were consistent with those observed in FSCD. Conclusion The minor (A) allele of rs16969968, relative to the major G allele, appears to be both a risk factor for nicotine dependence and a protective factor for cocaine dependence. The biological plausibility of such a bidirectional association stems from the involvement of nAChRs with both excitatory and inhibitory modulation of dopamine-mediated reward pathways. PMID:18519132

  16. The enzymatic activities of brain COMT and methionine sulfoxide reductase are correlated in a COMT Val/Met allele-dependent fashion

    PubMed Central

    Moskovitz, Jackob; Walss-Bass, Consuelo; Cruz, Dianne A; Thompson, Peter M.; Hairston, Jenaqua; Bortolato, Marco

    2015-01-01

    Aims The enzyme catechol-O-methyl transferase (COMT) plays a primary role in the metabolism of catecholamine neurotransmitters and is implicated in the modulation of cognitive and emotional responses. The best-characterized single nucleotide polymorphism (SNP) of the COMT gene consists of a valine (Val)-to-methionine (Met) substitution at codon 108/158. The Met-containing variant confers a marked reduction in COMT catalytic activity. We recently showed that the activity of recombinant COMT is positively regulated by the enzyme Met sulfoxide reductase (MSR), which counters the oxidation of Met residues of proteins. The current study was designed to assess whether brain COMT activity may be correlated to MSR in an allele-dependent fashion. Methods COMT and MSR activities were measured from post-mortem samples of prefrontal cortices, striata and cerebella of 32 subjects, by using catechol and dabsyl-Met sulfoxide as substrates, respectively. Allelic discrimination of COMT Val108/185Met SNP was performed using the Taqman 5’nuclease assay. Results Our studies revealed that, in homozygous carriers of Met, but not Val alleles, the activity of COMT and MSR were significantly correlated throughout all tested brain regions. Discussion These results suggest that the reduced enzymatic activity of Met-containing COMT may be secondary to Met sulfoxidation, and point to MSR as a key molecular determinant for the modulation of COMT activity. PMID:25640985

  17. Distribution-free discriminant analysis

    SciTech Connect

    Burr, T.; Doak, J.

    1997-05-01

    This report describes our experience in implementing a non-parametric (distribution-free) discriminant analysis module for use in a wide range of pattern recognition problems. Issues discussed include performance results on both real and simulated data sets, comparisons to other methods, and the computational environment. In some cases, this module performs better than other existing methods. Nearly all cases can benefit from the application of multiple methods.

  18. Rotary pin-in-maze discriminator

    DOEpatents

    Benavides, Gilbert L.

    1997-01-01

    A discriminator apparatus and method that discriminates between a unique signal and any other (incorrect) signal. The unique signal is a sequence of events; each event can assume one of two possible event states. Given the unique signal, a maze wheel is allowed to rotate fully in one direction. Given an incorrect signal, both the maze wheel and a pin wheel lock in position.

  19. Microcounseling Skill Discrimination Scale: A Methodological Note

    ERIC Educational Resources Information Center

    Stokes, Joseph; Romer, Daniel

    1977-01-01

    Absolute ratings on the Microcounseling Skill Discrimination Scale (MSDS) confound the individual's use of the rating scale and actual ability to discriminate effective and ineffective counselor behaviors. This note suggests methods of scoring the MSDS that will eliminate variability attributable to response language and improve the validity of…

  20. The use of partial thickness method and zero wet bulb temperature for discriminating precipitation type during winter months at the Ebro basin in Spain

    NASA Astrophysics Data System (ADS)

    Buisan, S.; Revuelto, J.

    2010-09-01

    environment favouring each precipitation type. This method is a simple technique for discriminating the different precipitation types. It also provides climatology of snowfall events for each airport, showing the differences due to their geographical location and how different synoptic conditions affect each place.. In the middle of Ebro basin, where Zaragoza airport is placed, the critical parameter to determine the precipitation type is the 1000 - 850 mb thickness. It is possible to find many episodes of snowfall with a very thin 1000-850 mb layer within a wide range of zero wet bulb temperature values. This shows the pool of cold air in the valley over which warm and moist air is advected from the Mediterranean Sea. Located close to the Cantabric sea, Pamplona is about 150 km north of Zaragoza. The snow episodes in this location are more related with cold air in all levels together with a narrow range of zero wet bulb temperature values. The results show that the Logroño area, 150 km northwest of Zaragoza, is influenced by both conditions. This method became operational during 2009-2010 winter season showing a high degree of accuracy in discriminating precipitation type.

  1. Characterization of the treefrog null allele, 1991

    SciTech Connect

    Guttman, S.I.

    1992-04-01

    Spring peeper (Hyla crucifer) tadpoles collected from the waste storage area during the Biological and Ecological Site Characterization of the Feed Materials Production Center (FEMP) in 1986 and 1987 appeared to be unique. A null (inactive) allele was found at the glucose phosphate isomerase enzyme locus in significant frequencies (approximately 20%) each year; this allele did not appear to occur in the offsite sample collected approximately 15km from the FEMP. Null alleles at this locus have not been reported in other amphibian populations; when they have been found in other organisms they have invariably been lethal in the homozygous condition.

  2. Characterization of the treefrog null allele

    SciTech Connect

    Guttman, S.I. . Dept. of Zoology)

    1990-12-01

    As part of the authors intensive year-long baseline ecological study, they characterized the degree of genetic polymorphism and heterozygosity in selected Feed Materials Production Center (FMPC) populations using electrophoretic techniques. These data are being used as an indicator of stress by comparing populations on and off the FMPC site. The current study was initiated to determine whether this GPI null allele is lethal, when homozygous, in spring peepers. Also, a sampling protocol was implemented to determine whether a linear effect occurs relative to the frequency of the null allele offsite and to determine the origination site of the null allele. 18 refs., 2 figs., 4 tabs.

  3. From Discrimination to Internalized Mental Illness Stigma: The Mediating Roles of Anticipated Discrimination and Anticipated Stigma

    PubMed Central

    Quinn, Diane M.; Williams, Michelle K.; Weisz, Bradley M.

    2015-01-01

    Objective Internalizing mental illness stigma is related to poorer well-being, but less is known about the factors that predict levels of internalized stigma. This study explored how experiences of discrimination relate to greater anticipation of discrimination and devaluation in the future, and how anticipation of stigma, in turn predicts greater stigma internalization. Method Participants were 105 adults with mental illness who self-reported their experiences of discrimination based on their mental illness, their anticipation of discrimination and social devaluation from others in the future, and their level of internalized stigma. Participants were approached in several locations and completed surveys on laptop computers. Results Correlational analyses indicated that more experiences of discrimination due to one’s mental illness were related to increased anticipated discrimination in the future, increased anticipated social stigma from others, and greater internalized stigma. Multiple serial mediator analyses showed that the effect of experiences of discrimination on internalized stigma was fully mediated by increased anticipated discrimination and anticipated stigma. Conclusion and Implications for Practice Experiences of discrimination over the lifetime may influence not only how much future discrimination people with mental illness are concerned with but also how much they internalize negative feelings about the self. Mental health professionals may need to address concerns with future discrimination and devaluation in order to decrease internalized stigma. PMID:25844910

  4. Introduction to multivariate discrimination

    NASA Astrophysics Data System (ADS)

    Kégl, Balázs

    2013-07-01

    Multivariate discrimination or classification is one of the best-studied problem in machine learning, with a plethora of well-tested and well-performing algorithms. There are also several good general textbooks [1-9] on the subject written to an average engineering, computer science, or statistics graduate student; most of them are also accessible for an average physics student with some background on computer science and statistics. Hence, instead of writing a generic introduction, we concentrate here on relating the subject to a practitioner experimental physicist. After a short introduction on the basic setup (Section 1) we delve into the practical issues of complexity regularization, model selection, and hyperparameter optimization (Section 2), since it is this step that makes high-complexity non-parametric fitting so different from low-dimensional parametric fitting. To emphasize that this issue is not restricted to classification, we illustrate the concept on a low-dimensional but non-parametric regression example (Section 2.1). Section 3 describes the common algorithmic-statistical formal framework that unifies the main families of multivariate classification algorithms. We explain here the large-margin principle that partly explains why these algorithms work. Section 4 is devoted to the description of the three main (families of) classification algorithms, neural networks, the support vector machine, and AdaBoost. We do not go into the algorithmic details; the goal is to give an overview on the form of the functions these methods learn and on the objective functions they optimize. Besides their technical description, we also make an attempt to put these algorithm into a socio-historical context. We then briefly describe some rather heterogeneous applications to illustrate the pattern recognition pipeline and to show how widespread the use of these methods is (Section 5). We conclude the chapter with three essentially open research problems that are either

  5. Testing allele homogeneity: the problem of nested hypotheses

    PubMed Central

    2012-01-01

    Background The evaluation of associations between genotypes and diseases in a case-control framework plays an important role in genetic epidemiology. This paper focuses on the evaluation of the homogeneity of both genotypic and allelic frequencies. The traditional test that is used to check allelic homogeneity is known to be valid only under Hardy-Weinberg equilibrium, a property that may not hold in practice. Results We first describe the flaws of the traditional (chi-squared) tests for both allelic and genotypic homogeneity. Besides the known problem of the allelic procedure, we show that whenever these tests are used, an incoherence may arise: sometimes the genotypic homogeneity hypothesis is not rejected, but the allelic hypothesis is. As we argue, this is logically impossible. Some methods that were recently proposed implicitly rely on the idea that this does not happen. In an attempt to correct this incoherence, we describe an alternative frequentist approach that is appropriate even when Hardy-Weinberg equilibrium does not hold. It is then shown that the problem remains and is intrinsic of frequentist procedures. Finally, we introduce the Full Bayesian Significance Test to test both hypotheses and prove that the incoherence cannot happen with these new tests. To illustrate this, all five tests are applied to real and simulated datasets. Using the celebrated power analysis, we show that the Bayesian method is comparable to the frequentist one and has the advantage of being coherent. Conclusions Contrary to more traditional approaches, the Full Bayesian Significance Test for association studies provides a simple, coherent and powerful tool for detecting associations. PMID:23176636

  6. Efficient nonmeiotic allele introgression in livestock using custom endonucleases

    PubMed Central

    Tan, Wenfang; Carlson, Daniel F.; Lancto, Cheryl A.; Garbe, John R.; Webster, Dennis A.; Hackett, Perry B.; Fahrenkrug, Scott C.

    2013-01-01

    We have expanded the livestock gene editing toolbox to include transcription activator-like (TAL) effector nuclease (TALEN)- and clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9-stimulated homology-directed repair (HDR) using plasmid, rAAV, and oligonucleotide templates. Toward the genetic dehorning of dairy cattle, we introgressed a bovine POLLED allele into horned bull fibroblasts. Single nucleotide alterations or small indels were introduced into 14 additional genes in pig, goat, and cattle fibroblasts using TALEN mRNA and oligonucleotide transfection with efficiencies of 10–50% in populations. Several of the chosen edits mimic naturally occurring performance-enhancing or disease- resistance alleles, including alteration of single base pairs. Up to 70% of the fibroblast colonies propagated without selection harbored the intended edits, of which more than one-half were homozygous. Edited fibroblasts were used to generate pigs with knockout alleles in the DAZL and APC genes to model infertility and colon cancer. Our methods enable unprecedented meiosis-free intraspecific and interspecific introgression of select alleles in livestock for agricultural and biomedical applications. PMID:24014591

  7. Regional seismic discrimination research at LLNL

    SciTech Connect

    Walter, W.R.; Mayeda, K.M.; Goldstein, P.; Patton, H.J.; Jarpe, S.; Glenn, L.

    1995-10-01

    The ability to verify a Comprehensive Test Ban Treaty (CTBT) depends in part on the ability to seismically detect and discriminate between potential clandestine underground nuclear tests and other seismic sources, including earthquakes and mining activities. Regional techniques are necessary to push detection and discrimination levels down to small magnitudes, but existing methods of event discrimination are mainly empirical and show much variability from region to region. The goals of Lawrence Livermore National Laboratory`s (LLNL`s) regional discriminant research are to evaluate the most promising discriminants, improve the understanding of their physical basis and use this information to develop new and more effective discriminants that can be transported to new regions of high monitoring interest. In this report the authors discuss preliminary efforts to geophysically characterize the Middle East and North Africa. They show that the remarkable stability of coda allows one to develop physically based, stable single station magnitude scales in new regions. They then discuss progress to date on evaluating and improving physical understanding and ability to model regional discriminants, focusing on the comprehensive NTS dataset. The authors apply this modeling ability to develop improved discriminants including slopes of P to S ratios. They find combining disparate discriminant techniques is particularly effective in identifying consistent outliers such as shallow earthquakes and mine seismicity. Finally they discuss development and use of new coda and waveform modeling tools to investigate special events.

  8. Nucleotide variation and identification of novel blast resistance alleles of Pib by allele mining strategy.

    PubMed

    Ramkumar, G; Madhav, M S; Devi, S J S Rama; Prasad, M S; Babu, V Ravindra

    2015-04-01

    Pib is one of significant rice blast resistant genes, which provides resistance to wide range of isolates of rice blast pathogen, Magnaporthe oryzae. Identification and isolation of novel and beneficial alleles help in crop enhancement. Allele mining is one of the best strategies for dissecting the allelic variations at candidate gene and identification of novel alleles. Hence, in the present study, Pib was analyzed by allele mining strategy, and coding and non-coding (upstream and intron) regions were examined to identify novel Pib alleles. Allelic sequences comparison revealed that nucleotide polymorphisms at coding regions affected the amino acid sequences, while the polymorphism at upstream (non-coding) region affected the motifs arrangements. Pib alleles from resistant landraces, Sercher and Krengosa showed better resistance than Pib donor variety, might be due to acquired mutations, especially at LRR region. The evolutionary distance, Ka/Ks and phylogenetic analyzes also supported these results. Transcription factor binding motif analysis revealed that Pib (Sr) had a unique motif (DPBFCOREDCDC3), while five different motifs differentiated the resistance and susceptible Pib alleles. As the Pib is an inducible gene, the identified differential motifs helps to understand the Pib expression mechanism. The identified novel Pib resistant alleles, which showed high resistance to the rice blast, can be used directly in blast resistance breeding program as alternative Pib resistant sources.

  9. Parallel Mapping of Antibiotic Resistance Alleles in Escherichia coli

    PubMed Central

    Mortazavi, Pooneh; Knight, Rob; Gill, Ryan T.

    2016-01-01

    Chemical genomics expands our understanding of microbial tolerance to inhibitory chemicals, but its scope is often limited by the throughput of genome-scale library construction and genotype-phenotype mapping. Here we report a method for rapid, parallel, and deep characterization of the response to antibiotics in Escherichia coli using a barcoded genome-scale library, next-generation sequencing, and streamlined bioinformatics software. The method provides quantitative growth data (over 200,000 measurements) and identifies contributing antimicrobial resistance and susceptibility alleles. Using multivariate analysis, we also find that subtle differences in the population responses resonate across multiple levels of functional hierarchy. Finally, we use machine learning to identify a unique allelic and proteomic fingerprint for each antibiotic. The method can be broadly applied to tolerance for any chemical from toxic metabolites to next-generation biofuels and antibiotics. PMID:26771672

  10. Earthquake-explosion discrimination using diffusion maps

    NASA Astrophysics Data System (ADS)

    Rabin, N.; Bregman, Y.; Lindenbaum, O.; Ben-Horin, Y.; Averbuch, A.

    2016-09-01

    Discrimination between earthquakes and explosions is an essential component of nuclear test monitoring and it is also important for maintaining the quality of earthquake catalogs. Currently used discrimination methods provide a partial solution to the problem. In this work, we apply advanced machine learning methods and in particular diffusion maps for modeling and discriminating between seismic signals. Diffusion maps enable us to construct a geometric representation that capture the intrinsic structure of the seismograms. The diffusion maps are applied after a pre-processing step, in which seismograms are converted to normalized sonograms. The constructed low-dimensional model is used for automatic earthquake-explosion discrimination of data that is collected in single seismic stations. We demonstrate our approach on a data set comprising seismic events from the Dead Sea area. The diffusion-based algorithm provides correct discrimination rate that is higher than 90%.

  11. High-throughput killer cell immunoglobulin-like receptor genotyping by MALDI-TOF mass spectrometry with discovery of novel alleles.

    PubMed

    Houtchens, Kathleen A; Nichols, Robert J; Ladner, Martha B; Boal, Hannah E; Sollars, Cristina; Geraghty, Daniel E; Davis, Lee M; Parham, Peter; Trachtenberg, Elizabeth A

    2007-07-01

    The killer cell immunoglobulin-like receptors (KIR) interact with major histocompatibility complex (MHC) class I ligands to regulate the functions of natural killer cells and T cells. Like human leukocyte antigens class I, human KIR are highly variable and correlated with infection, autoimmunity, pregnancy syndromes, and transplantation outcome. Limiting the scope of KIR analysis is the low resolution, sensitivity, and speed of the established methods of KIR typing. In this study, we describe a first-generation single nucleotide polymorphism (SNP)-based method for typing the 17 human KIR genes and pseudogenes that uses analysis by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. It is a high-throughput method that requires minute amounts of genomic DNA for discrimination of KIR genes with some allelic resolution. A study of 233 individuals shows that the results obtained by the SNP-based KIR/MALDI-TOF method are consistent with those obtained with the established sequence-specific oligonucleotide probe or sequence-specific polymerase chain reaction methods. The added sensitivity of the KIR/MALDI-TOF method allowed putative novel alleles of the KIR2DL1, KIR3DL1, KIR2DS5, and KIR2DL5 genes to be identified. Sequencing the KIR2DL5 variant proved it was a newly discovered allele, one that appears associated with Hispanic and Native American populations. This KIR/MALDI-TOF method of KIR typing should facilitate population and disease-association studies that improve knowledge of the immunological functions of KIR-MHC class I interactions.

  12. Issues in Predictive Discriminant Analysis: Using and Interpreting the Leave-One-Out Jackknife Method and the Improvement-Over-Change "I" Index Effect Size.

    ERIC Educational Resources Information Center

    Hwang, Dae-Yeop

    Prediction of group membership is the goal of predictive discriminant analysis (PDA) and the accuracy of group classification is the focus of PDA. The purpose of this paper is to provide an overview of how PDA works and how it can be used to answer a variety of research questions. The paper explains what PDA is and why it is important, and it…

  13. Human leukocyte antigen-E alleles and expression in patients with serous ovarian cancer

    PubMed Central

    Zheng, Hui; Lu, Renquan; Xie, Suhong; Wen, Xuemei; Wang, Hongling; Gao, Xiang; Guo, Lin

    2015-01-01

    Human leukocyte antigen-E (HLA-E) is one of the most extensively studied non-classical MHC class I molecules that is almost non-polymorphic. Only two alleles (HLA-E*0101 and HLA-E*0103) are found in worldwide populations, and suggested to be functional differences between these variants. The HLA-E molecule can contribute to the escape of cancer cells from host immune surveillance. However, it is still unknown whether HLA-E gene polymorphisms might play a role in cancer immune escape. To explore the association between HLA-E alleles and the susceptibility to serous ovarian cancer (SOC), 85 primary SOC patients and 100 healthy women were enrolled. Here, we indicated that high frequency of HLA-E*0103 allele existed in SOC patients by the allele-specific quantitative real-time PCR method. The levels of HLA-E protein expression in SOC patients with the HLA-E*0103 allele were higher than those with the HLA-E*0101 allele using immunohistochemistry analysis. The cell surface expression and functional differences between the two alleles were verified by K562 cells transfected with HLA-E*0101 or HLA-E*0103 allelic heavy chains. The HLA-E*0103 allele made the transfer of the HLA-E molecule to the cell surface easier, and HLA-E/peptides complex more stable. These differences ultimately influenced the function of natural killer cells, showing that the cells transfected with HLA-E*0103 allele inhibited natural killer cells to lysis. This study reveals a novel mechanism regarding the susceptibility to SOC, which is correlated with the HLA-E*0103 allele. PMID:25711417

  14. Evidence that intragenic recombination contributes to allelic diversity of the S-RNase gene at the self-incompatibility (S) locus in Petunia inflata.

    PubMed

    Wang, X; Hughes, A L; Tsukamoto, T; Ando, T; Kao, T

    2001-02-01

    For Solanaceae type self-incompatibility, discrimination between self and nonself pollen by the pistil is controlled by the highly polymorphic S-RNase gene. To date, the mechanism generating the allelic diversity of this gene is largely unknown. Natural populations offer a good opportunity to address this question because they likely contain different alleles that share recent common progenitors. We identified 19 S haplotypes from a natural population of Petunia inflata in Argentina, used reverse transcriptase-polymerase chain reaction to obtain cDNAs for 15 alleles of the S-RNase gene, and sequenced all the cDNAs. Phylogenetic studies revealed that five of these alleles and two previously identified alleles form a major clade, and that the 5' region of S(19) allele was derived from an ancestor allele closely related to S(2), whereas its 3' region was derived from an ancestor allele closely related to S(8). A similar evolutionary relationship was found among S(3), S(12), and S(15) alleles. These findings suggest that intragenic recombination contributed to the generation of the allelic diversity of the S-RNase gene. Two additional findings emerged from the sequence comparisons. First, the nucleotide sequence of the S(1) allele identified in this work is completely identical to that of the previously identified S(1) allele of a different origin. Second, in the two hypervariable regions HVa and HVb, thought to be involved in determining S allele specificity, S(6) and S(9) alleles differ only by four nucleotides, all in HVb, resulting in two amino acid differences. The implications of these findings are discussed. PMID:11161057

  15. Allele and Haplotype Frequencies of Human Leukocyte Antigen-A, -B, -C, -DRB1, and -DQB1 From Sequence-Based DNA Typing Data in Koreans

    PubMed Central

    In, Ji Won; Roh, Eun Youn; Oh, Sohee; Shin, Sue; Park, Kyoung Un

    2015-01-01

    Background Data on allele frequencies (AFs) and haplotype frequencies (HFs) of HLA-C and -DQB1 are limited in Koreans. We investigated AFs and HFs of HLA-A, -B, -C, -DRB1, and -DQB1 in Koreans by high-resolution sequence-based typing (SBT). Methods Hematopoietic stem cells were obtained from 613 healthy, unrelated donors to analyze HLA-A, -B, -C, -DRB1, and -DQB1 genotypes by using AlleleSEQR HLA-A, -B, -C, -DRB1, and -DQB1 SBT kits (Abbott Molecular, USA), respectively. Alleles belonging to HLA-C*07:01/07:06 group were further discriminated by using PCR-sequence specific primer analysis. AFs and HFs were calculated by direct counting and maximum likelihood method, respectively. Results In all, 24 HLA-A, 46 HLA-B, 24 HLA-C, 29 HLA-DRB1, and 15 HLA-DQB1 alleles were identified. AFs and HFs of HLA-A, -B, and -DRB1 were similar to those reported previously. For the HLA-C locus, C*01:02 was the most common allele, followed by C*03:03, C*03:04, C*14:02, C*03:02, and C*07:02 (AF ≥7%). AFs of C*07:01 and C*07:06 were 0.16% and 3.18%, respectively. For the HLA-DQB1 locus, DQB1*03:01 was the most common allele, followed by DQB1*03:03, *03:02, *06:01, *05:01, *04:01, and *06:02 (AF ≥7%). AFs of DQB1*02:01 and DQB1*02:02 were 2.12% and 6.69%, respectively. HFs of A*33:03-C*07:06 and C*07:06-B*44:03 were 3.09% and 3.10%, respectively, while those of DRB1*07:01-DQB1*02:02 and DRB1*03:01-DQB1*02:01 were 6.61% and 2.04%, respectively. Conclusions This study reported AFs and HFs of HLA, including HLA-C and -DQB1, in Koreans by using high-resolution SBT. These data can be used to resolve ambiguous results of HLA typing for organ and hematopoietic stem cell transplantations. PMID:26131415

  16. Allele Workbench: transcriptome pipeline and interactive graphics for allele-specific expression.

    PubMed

    Soderlund, Carol A; Nelson, William M; Goff, Stephen A

    2014-01-01

    Sequencing the transcriptome can answer various questions such as determining the transcripts expressed in a given species for a specific tissue or condition, evaluating differential expression, discovering variants, and evaluating allele-specific expression. Differential expression evaluates the expression differences between different strains, tissues, and conditions. Allele-specific expression evaluates expression differences between parental alleles. Both differential expression and allele-specific expression have been studied for heterosis (hybrid vigor), where the hybrid has improved performance over the parents for one or more traits. The Allele Workbench software was developed for a heterosis study that evaluated allele-specific expression for a mouse F1 hybrid using libraries from multiple tissues with biological replicates. This software has been made into a distributable package, which includes a pipeline, a Java interface to build the database, and a Java interface for query and display of the results. The required input is a reference genome, annotation file, and one or more RNA-Seq libraries with optional replicates. It evaluates allelic imbalance at the SNP and transcript level and flags transcripts with significant opposite directional allele-specific expression. The Java interface allows the user to view data from libraries, replicates, genes, transcripts, exons, and variants, including queries on allele imbalance for selected libraries. To determine the impact of allele-specific SNPs on protein folding, variants are annotated with their effect (e.g., missense), and the parental protein sequences may be exported for protein folding analysis. The Allele Workbench processing results in transcript files and read counts that can be used as input to the previously published Transcriptome Computational Workbench, which has a new algorithm for determining a trimmed set of gene ontology terms. The software with demo files is available from https://code.google.com/p/allele

  17. Abnormal segregation of alleles in CEPH pedigree DNAs arising from allele loss in lymphoblastoid DNA

    SciTech Connect

    Royle, N.J.; Armour, J.A.L.; Crosier, M.; Jeffreys, A.J. )

    1993-01-01

    Somatic events that result in the reduction to hemior homozygosity at all loci affected by the event have been identified in lymphoblastoid DNA from mothers of two CEPH families. Using suitably informative probes, the allele deficiencies were detected by the abnormal transmission of alleles from grandparents to grandchildren, with the apparent absence of the alleles from the parent. Undetected somatic deficiencies in family DNAs could result in misscoring of recombination events and consequently introduce errors into linkage analysis. 15 refs., 2 figs.

  18. Allele Workbench: Transcriptome Pipeline and Interactive Graphics for Allele-Specific Expression

    PubMed Central

    Soderlund, Carol A.; Nelson, William M.; Goff, Stephen A.

    2014-01-01

    Sequencing the transcriptome can answer various questions such as determining the transcripts expressed in a given species for a specific tissue or condition, evaluating differential expression, discovering variants, and evaluating allele-specific expression. Differential expression evaluates the expression differences between different strains, tissues, and conditions. Allele-specific expression evaluates expression differences between parental alleles. Both differential expression and allele-specific expression have been studied for heterosis (hybrid vigor), where the hybrid has improved performance over the parents for one or more traits. The Allele Workbench software was developed for a heterosis study that evaluated allele-specific expression for a mouse F1 hybrid using libraries from multiple tissues with biological replicates. This software has been made into a distributable package, which includes a pipeline, a Java interface to build the database, and a Java interface for query and display of the results. The required input is a reference genome, annotation file, and one or more RNA-Seq libraries with optional replicates. It evaluates allelic imbalance at the SNP and transcript level and flags transcripts with significant opposite directional allele-specific expression. The Java interface allows the user to view data from libraries, replicates, genes, transcripts, exons, and variants, including queries on allele imbalance for selected libraries. To determine the impact of allele-specific SNPs on protein folding, variants are annotated with their effect (e.g., missense), and the parental protein sequences may be exported for protein folding analysis. The Allele Workbench processing results in transcript files and read counts that can be used as input to the previously published Transcriptome Computational Workbench, which has a new algorithm for determining a trimmed set of gene ontology terms. The software with demo files is available from https://code.google.com/p/allele

  19. Inferring Selection Intensity and Allele Age from Multilocus Haplotype Structure

    PubMed Central

    Chen, Hua; Slatkin, Montgomery

    2013-01-01

    It is a challenging task to infer selection intensity and allele age from population genetic data. Here we present a method that can efficiently estimate selection intensity and allele age from the multilocus haplotype structure in the vicinity of a segregating mutant under positive selection. We use a structured-coalescent approach to model the effect of directional selection on the gene genealogies of neutral markers linked to the selected mutant. The frequency trajectory of the selected allele follows the Wright-Fisher model. Given the position of the selected mutant, we propose a simplified multilocus haplotype model that can efficiently model the dynamics of the ancestral haplotypes under the joint influence of selection and recombination. This model approximates the ancestral genealogies of the sample, which reduces the number of states from an exponential function of the number of single-nucleotide polymorphism loci to a quadratic function. That allows parameter inference from data covering DNA regions as large as several hundred kilo-bases. Importance sampling algorithms are adopted to evaluate the probability of a sample by exploring the space of both allele frequency trajectories of the selected mutation and gene genealogies of the linked sites. We demonstrate by simulation that the method can accurately estimate selection intensity for moderate and strong positive selection. We apply the method to a data set of the G6PD gene in an African population and obtain an estimate of 0.0456 (95% confidence interval 0.0144−0.0769) for the selection intensity. The proposed method is novel in jointly modeling the multilocus haplotype pattern caused by recombination and mutation, allowing the analysis of haplotype data in recombining regions. Moreover, the method is applicable to data from populations under exponential growth and a variety of other demographic histories. PMID:23797107

  20. Detecting Allelic Expression Imbalance at Candidate Genes Using 5' Exonuclease Genotyping Technology.

    PubMed

    Gahan, Jillian M; Byrne, Mikaela M; Hill, Matthew; Quinn, Emma M; Murphy, Ross T; Anney, Richard J L; Ryan, Anthony W

    2015-01-01

    Genetic variation along the length of a chromosome can influence the transcription of a gene. In a heterozygous individual, this may lead to one chromosome producing different levels of RNA, compared to its paired chromosome, for a given gene. Allelic differences in gene expression can offer insight into the role of variation in transcription, and subsequently infer a route to conferring disease risk. This phenomenon is known as allele expression imbalance or AEI, which may be assayed using a PCR-based method that includes the quantification of the relative dosage of each allele (e.g., 5' exonuclease assays, TaqMan™). Importantly, in heterozygous individuals the resolution of expression imbalance is performed within a controlled system; the comparison of the alternate allele is reported relative to the wild-type, as the experiment can be performed within a single sample, controlled for background genetic information. Alternative methods for the detection of AEI include Primer-extension MALDI-TOF (Sequenom MassARRAY(®)), Next-Generation Sequencing, and SNP genotyping arrays. Here we present the methods used for the TaqMan™ approach and include a description of the SNP identification, allele-specific PCR, and analytic methods to convert allele amplification metrics to relative allele dosage.

  1. Justice and Reverse Discrimination.

    ERIC Educational Resources Information Center

    Goldman, Alan H.

    Defining reverse discrimination as hiring or admissions decisions based on normally irrelevant criteria, this book develops principles of rights, compensation, and equal opportunity applicable to the reverse discrimination issue. The introduction defines the issue and discusses deductive and inductive methodology as applied to reverse…

  2. Employment Discrimination: A Survey.

    ERIC Educational Resources Information Center

    Caplan, Gerald A.

    Chapter 4 in a book on school law provides a general overview of the various federal statutes directed toward discrimination in employment and considers some of the recent developments under these statutes. The first section is a survey of the employment discrimination laws and their interrelationships. The second section analyzes more closely…

  3. Flash-Type Discrimination

    NASA Technical Reports Server (NTRS)

    Koshak, William J.

    2010-01-01

    This viewgraph presentation describes the significant progress made in the flash-type discrimination algorithm development. The contents include: 1) Highlights of Progress for GLM-R3 Flash-Type discrimination Algorithm Development; 2) Maximum Group Area (MGA) Data; 3) Retrieval Errors from Simulations; and 4) Preliminary Global-scale Retrieval.

  4. Discrimination and health inequities.

    PubMed

    Krieger, Nancy

    2014-01-01

    In 1999, only 20 studies in the public health literature employed instruments to measure self-reported experiences of discrimination. Fifteen years later, the number of empirical investigations on discrimination and health easily exceeds 500, with these studies increasingly global in scope and focused on major types of discrimination variously involving race/ethnicity, indigenous status, immigrant status, gender, sexuality, disability, and age, separately and in combination. And yet, as I also document, even as the number of investigations has dramatically expanded, the scope remains narrow: studies remain focused primarily on interpersonal discrimination, and scant research investigates the health impacts of structural discrimination, a gap consonant with the limited epidemiologic research on political systems and population health. Accordingly, to help advance the state of the field, this updated review article: (a) briefly reviews definitions of discrimination, illustrated with examples from the United States; (b) discusses theoretical insights useful for conceptualizing how discrimination can become embodied and produce health inequities, including via distortion of scientific knowledge; (c) concisely summarizes extant evidence--both robust and inconsistent--linking discrimination and health; and (d) addresses several key methodological controversies and challenges, including the need for careful attention to domains, pathways, level, and spatiotemporal scale, in historical context. PMID:25626224

  5. Microscale acceleration history discriminators

    DOEpatents

    Polosky, Marc A.; Plummer, David W.

    2002-01-01

    A new class of micromechanical acceleration history discriminators is claimed. These discriminators allow the precise differentiation of a wide range of acceleration-time histories, thereby allowing adaptive events to be triggered in response to the severity (or lack thereof) of an external environment. Such devices have applications in airbag activation, and other safety and surety applications.

  6. Reverse Discrimination: Recent Cases.

    ERIC Educational Resources Information Center

    Steinhilber, August W.

    This paper discusses reverse discrimination cases with particular emphasis on Bakke v. Regents of University of California and those cases which preceded it. A brief history is given of court cases used by opponents and proponents in the discussion of reverse discrimination. Legal theory and a discussion of court cases that preceded Bakke follow.…

  7. An Updated Collection of Sequence Barcoded Temperature-Sensitive Alleles of Yeast Essential Genes.

    PubMed

    Kofoed, Megan; Milbury, Karissa L; Chiang, Jennifer H; Sinha, Sunita; Ben-Aroya, Shay; Giaever, Guri; Nislow, Corey; Hieter, Philip; Stirling, Peter C

    2015-07-14

    Systematic analyses of essential gene function using mutant collections in Saccharomyces cerevisiae have been conducted using collections of heterozygous diploids, promoter shut-off alleles, through alleles with destabilized mRNA, destabilized protein, or bearing mutations that lead to a temperature-sensitive (ts) phenotype. We previously described a method for construction of barcoded ts alleles in a systematic fashion. Here we report the completion of this collection of alleles covering 600 essential yeast genes. This resource covers a larger gene repertoire than previous collections and provides a complementary set of strains suitable for single gene and genomic analyses. We use deep sequencing to characterize the amino acid changes leading to the ts phenotype in half of the alleles. We also use high-throughput approaches to describe the relative ts behavior of the alleles. Finally, we demonstrate the experimental usefulness of the collection in a high-content, functional genomic screen for ts alleles that increase spontaneous P-body formation. By increasing the number of alleles and improving the annotation, this ts collection will serve as a community resource for probing new aspects of biology for essential yeast genes.

  8. Models of Frequency-Dependent Selection with Mutation from Parental Alleles

    PubMed Central

    Trotter, Meredith V.; Spencer, Hamish G.

    2013-01-01

    Frequency-dependent selection (FDS) remains a common heuristic explanation for the maintenance of genetic variation in natural populations. The pairwise-interaction model (PIM) is a well-studied general model of frequency-dependent selection, which assumes that a genotype’s fitness is a function of within-population intergenotypic interactions. Previous theoretical work indicated that this type of model is able to sustain large numbers of alleles at a single locus when it incorporates recurrent mutation. These studies, however, have ignored the impact of the distribution of fitness effects of new mutations on the dynamics and end results of polymorphism construction. We suggest that a natural way to model mutation would be to assume mutant fitness is related to the fitness of the parental allele, i.e., the existing allele from which the mutant arose. Here we examine the numbers and distributions of fitnesses and alleles produced by construction under the PIM with mutation from parental alleles and the impacts on such measures due to different methods of generating mutant fitnesses. We find that, in comparison with previous results, generating mutants from existing alleles lowers the average number of alleles likely to be observed in a system subject to FDS, but produces polymorphisms that are highly stable and have realistic allele-frequency distributions. PMID:23852384

  9. An Updated Collection of Sequence Barcoded Temperature-Sensitive Alleles of Yeast Essential Genes

    PubMed Central

    Kofoed, Megan; Milbury, Karissa L.; Chiang, Jennifer H.; Sinha, Sunita; Ben-Aroya, Shay; Giaever, Guri; Nislow, Corey; Hieter, Philip; Stirling, Peter C.

    2015-01-01

    Systematic analyses of essential gene function using mutant collections in Saccharomyces cerevisiae have been conducted using collections of heterozygous diploids, promoter shut-off alleles, through alleles with destabilized mRNA, destabilized protein, or bearing mutations that lead to a temperature-sensitive (ts) phenotype. We previously described a method for construction of barcoded ts alleles in a systematic fashion. Here we report the completion of this collection of alleles covering 600 essential yeast genes. This resource covers a larger gene repertoire than previous collections and provides a complementary set of strains suitable for single gene and genomic analyses. We use deep sequencing to characterize the amino acid changes leading to the ts phenotype in half of the alleles. We also use high-throughput approaches to describe the relative ts behavior of the alleles. Finally, we demonstrate the experimental usefulness of the collection in a high-content, functional genomic screen for ts alleles that increase spontaneous P-body formation. By increasing the number of alleles and improving the annotation, this ts collection will serve as a community resource for probing new aspects of biology for essential yeast genes. PMID:26175450

  10. An Updated Collection of Sequence Barcoded Temperature-Sensitive Alleles of Yeast Essential Genes.

    PubMed

    Kofoed, Megan; Milbury, Karissa L; Chiang, Jennifer H; Sinha, Sunita; Ben-Aroya, Shay; Giaever, Guri; Nislow, Corey; Hieter, Philip; Stirling, Peter C

    2015-09-01

    Systematic analyses of essential gene function using mutant collections in Saccharomyces cerevisiae have been conducted using collections of heterozygous diploids, promoter shut-off alleles, through alleles with destabilized mRNA, destabilized protein, or bearing mutations that lead to a temperature-sensitive (ts) phenotype. We previously described a method for construction of barcoded ts alleles in a systematic fashion. Here we report the completion of this collection of alleles covering 600 essential yeast genes. This resource covers a larger gene repertoire than previous collections and provides a complementary set of strains suitable for single gene and genomic analyses. We use deep sequencing to characterize the amino acid changes leading to the ts phenotype in half of the alleles. We also use high-throughput approaches to describe the relative ts behavior of the alleles. Finally, we demonstrate the experimental usefulness of the collection in a high-content, functional genomic screen for ts alleles that increase spontaneous P-body formation. By increasing the number of alleles and improving the annotation, this ts collection will serve as a community resource for probing new aspects of biology for essential yeast genes. PMID:26175450

  11. Forearm motion discrimination technique using real-time EMG signals.

    PubMed

    Mizuno, Haruaki; Tsujiuchi, Nobutaka; Koizumi, Takayuki

    2011-01-01

    The objective of this study is to develop a method of discriminating real-time motion from electromyogram (EMG) signals. We previously proposed a motion discrimination method. This method could discriminate five motions (hand opening, hand closing, hand chucking, wrist extension, and wrist flexion) at a rate of above 90 percent from four channel EMG signals in the forearm. The method prevents elbow motions from interfering with hand motion discrimination. However, discrimination processing time of this method is more than 300 ms, and the shortest delay time that is perceivable by the user is generally regarded to be roughly 300 ms. Furthermore, a robot hand has a mechanical delay time. Thus, the discrimination time should be less than 300 ms. Here, we propose a real-time motion discrimination method using a hyper-sphere model. In comparison with the old model, the hyper-sphere models can make more complex decision regions which can discriminate at the state of the motion. Furthermore, this model can learn EMG signals in real-time. We experimentally verified that the discrimination accuracies of this method were above 90 percent. Moreover, elbow motions did not interfere with the hand motion discrimination. The discrimination processing time was less than 300 ms, and was about 30 percent shorter than that of the old method. PMID:22255323

  12. Dynamics of temporal discrimination.

    PubMed

    Guilhardi, Paulo; Church, Russell M

    2005-11-01

    The purpose of this research was to describe and explain the acquisition of temporal discriminations, transitions from one temporal interval to another, and asymptotic performance of stimulus and temporal discriminations. Rats were trained on a multiple cued interval (MCI) procedure with a head entry response on three signaled fixed-interval schedules of reinforcement (30, 60, and 120 sec). They readily learned the three temporal discriminations, whether they were presented simultaneously or successively, and they rapidly adjusted their performance to new intervals when the intermediate interval was varied daily. Although exponential functions provided good descriptions of many measures of temporal discrimination, different parameter values were required for each measure. The addition of a linear operator to a packet theory of timing with a single set of parameters provided a quantitative process model that fit many measures of the dynamics of temporal discrimination.

  13. Systematic Cell-Based Phenotyping of Missense Alleles Empowers Rare Variant Association Studies: A Case for LDLR and Myocardial Infarction

    PubMed Central

    Schuberth, Christian; Won, Hong-Hee; Blattmann, Peter; Joggerst-Thomalla, Brigitte; Theiss, Susanne; Asselta, Rosanna; Duga, Stefano; Merlini, Pier Angelica; Ardissino, Diego; Lander, Eric S.; Gabriel, Stacey; Rader, Daniel J.; Peloso, Gina M.; Kathiresan, Sekar; Runz, Heiko

    2015-01-01

    A fundamental challenge to contemporary genetics is to distinguish rare missense alleles that disrupt protein functions from the majority of alleles neutral on protein activities. High-throughput experimental tools to securely discriminate between disruptive and non-disruptive missense alleles are currently missing. Here we establish a scalable cell-based strategy to profile the biological effects and likely disease relevance of rare missense variants in vitro. We apply this strategy to systematically characterize missense alleles in the low-density lipoprotein receptor (LDLR) gene identified through exome sequencing of 3,235 individuals and exome-chip profiling of 39,186 individuals. Our strategy reliably identifies disruptive missense alleles, and disruptive-allele carriers have higher plasma LDL-cholesterol (LDL-C). Importantly, considering experimental data refined the risk of rare LDLR allele carriers from 4.5- to 25.3-fold for high LDL-C, and from 2.1- to 20-fold for early-onset myocardial infarction. Our study generates proof-of-concept that systematic functional variant profiling may empower rare variant-association studies by orders of magnitude. PMID:25647241

  14. Multilocus Microsatellite Typing as a New Tool for Discrimination of Leishmania infantum MON-1 Strains

    PubMed Central

    Ochsenreither, Sebastian; Kuhls, Katrin; Schaar, Matthias; Presber, Wolfgang; Schönian, Gabriele

    2006-01-01

    The Leishmania donovani complex, which consists of L. donovani, L. infantum-L. chagasi, and L. archibaldi, is responsible for visceral manifestations of leishmaniasis. Multilocus enzyme electrophoresis is the standard method for the characterization and identification of strains of Leishmania. For L. infantum, the predominance of zymodeme MON-1 significantly reduces the discriminative power of this approach. In the present study, we developed 17 independent polymorphic microsatellite markers for the typing of strains of L. infantum, with the main emphasis on zymodeme MON-1. The discriminative powers of 11 markers selected from among these markers were tested by using a panel of 63 isolates of the L. donovani complex. Unique multilocus genotypes were observed for the strains analyzed, with only three exceptions. Model-based and distance-based analyses of the data set showed comparable results. It was possible to discriminate between L. donovani sensu stricto, a non-MON-1 group of L. infantum isolates, and a MON-1 group of L. infantum isolates. Within MON-1, three clusters with geographical correlations became apparent. The frequency of heterozygosity in the alleles analyzed varied extremely between the different groups of isolates. The main clusters described are not consistent with species definitions based on isoenzyme analysis but confirm the results of former PCR-based investigations. PMID:16455904

  15. Perceived Discrimination and Substance Use among Latino Adolescents

    ERIC Educational Resources Information Center

    Okamoto, Janet; Ritt-Olson, Anamara; Soto, Daniel; Baezconde-Garbanati, Lourdes; Unger, Jennifer B.

    2009-01-01

    Objective: To examine perceived discrimination and substance use among Latino high school students. Methods: Latino 9th graders (N=1332) completed self-report measures of perceived discrimination and substance use behavior. Results: Perceived discrimination was associated with lifetime use measures of smoking (OR=1.73, P less than 0.01), alcohol…

  16. A Molecular Method to Discriminate between Mass-Reared Sterile and Wild Tsetse Flies during Eradication Programmes That Have a Sterile Insect Technique Component

    PubMed Central

    Pagabeleguem, Soumaïla; Gimonneau, Geoffrey; Seck, Momar Talla; Vreysen, Marc J. B.; Sall, Baba; Rayaissé, Jean-Baptiste; Sidibé, Issa; Bouyer, Jérémy; Ravel, Sophie

    2016-01-01

    Background The Government of Senegal has embarked several years ago on a project that aims to eradicate Glossina palpalis gambiensis from the Niayes area. The removal of the animal trypanosomosis would allow the development more efficient livestock production systems. The project was implemented using an area-wide integrated pest management strategy including a sterile insect technique (SIT) component. The released sterile male flies originated from a colony from Burkina Faso. Methodology/Principal Findings Monitoring the efficacy of the sterile male releases requires the discrimination between wild and sterile male G. p. gambiensis that are sampled in monitoring traps. Before being released, sterile male flies were marked with a fluorescent dye powder. The marking was however not infallible with some sterile flies only slightly marked or some wild flies contaminated with a few dye particles in the monitoring traps. Trapped flies can also be damaged due to predation by ants, making it difficult to discriminate between wild and sterile males using a fluorescence camera and / or a fluorescence microscope. We developed a molecular technique based on the determination of cytochrome oxidase haplotypes of G. p. gambiensis to discriminate between wild and sterile males. DNA was isolated from the head of flies and a portion of the 5’ end of the mitochondrial gene cytochrome oxidase I was amplified to be finally sequenced. Our results indicated that all the sterile males from the Burkina Faso colony displayed the same haplotype and systematically differed from wild male flies trapped in Senegal and Burkina Faso. This allowed 100% discrimination between sterile and wild male G. p. gambiensis. Conclusions/Significance This tool might be useful for other tsetse control campaigns with a SIT component in the framework of the Pan-African Tsetse and Trypanosomosis Eradication Campaign (PATTEC) and, more generally, for other vector or insect pest control programs. PMID:26901049

  17. Impedance spectroscopy--an outstanding method for label-free and real-time discrimination between brain and tumor tissue in vivo.

    PubMed

    Jahnke, Heinz-Georg; Heimann, Axel; Azendorf, Ronny; Mpoukouvalas, Konstantinos; Kempski, Oliver; Robitzki, Andrea A; Charalampaki, Patra

    2013-08-15

    Until today, brain tumors especially glioblastoma are difficult to treat and therefore, results in a poor survival rate of 0-14% over five years. To overcome this problem, the development of novel therapeutics as well as optimization of neurosurgical procedures to remove the tumor tissue are subject of intensive research. The main problem of the tumor excision, as the primary clinical intervention is the diffuse infiltration of the tumor cells in unaltered brain tissue that complicates the complete removal of residual tumor cells. In this context, we are developing novel approaches for the label-free discrimination between tumor tissue and unaltered brain tissue in real-time during the surgical process. Using our impedance spectroscopy-based measurement system in combination with flexible microelectrode arrays we could successfully demonstrate the discrimination between a C6-glioma and unaltered brain tissue in an in vivo rat model. The analysis of the impedance spectra revealed specific impedance spectrum shape characteristics of physiologic neuronal tissue in the frequency range of 10-500 kHz that were significantly different from the tumor tissue. Moreover, we used an adapted equivalent circuit model to get a deeper understanding for the nature of the observed effects. The impedimetric label-free and real-time discrimination of tumor from unaltered brain tissue offers the possibility for the implementation in surgical instruments to support surgeons to decide, which tissue areas should be removed and which should be remained.

  18. Discriminant Incoherent Component Analysis.

    PubMed

    Georgakis, Christos; Panagakis, Yannis; Pantic, Maja

    2016-05-01

    Face images convey rich information which can be perceived as a superposition of low-complexity components associated with attributes, such as facial identity, expressions, and activation of facial action units (AUs). For instance, low-rank components characterizing neutral facial images are associated with identity, while sparse components capturing non-rigid deformations occurring in certain face regions reveal expressions and AU activations. In this paper, the discriminant incoherent component analysis (DICA) is proposed in order to extract low-complexity components, corresponding to facial attributes, which are mutually incoherent among different classes (e.g., identity, expression, and AU activation) from training data, even in the presence of gross sparse errors. To this end, a suitable optimization problem, involving the minimization of nuclear-and l1 -norm, is solved. Having found an ensemble of class-specific incoherent components by the DICA, an unseen (test) image is expressed as a group-sparse linear combination of these components, where the non-zero coefficients reveal the class(es) of the respective facial attribute(s) that it belongs to. The performance of the DICA is experimentally assessed on both synthetic and real-world data. Emphasis is placed on face analysis tasks, namely, joint face and expression recognition, face recognition under varying percentages of training data corruption, subject-independent expression recognition, and AU detection by conducting experiments on four data sets. The proposed method outperforms all the methods that are compared with all the tasks and experimental settings. PMID:27008268

  19. Discriminant Incoherent Component Analysis.

    PubMed

    Georgakis, Christos; Panagakis, Yannis; Pantic, Maja

    2016-05-01

    Face images convey rich information which can be perceived as a superposition of low-complexity components associated with attributes, such as facial identity, expressions, and activation of facial action units (AUs). For instance, low-rank components characterizing neutral facial images are associated with identity, while sparse components capturing non-rigid deformations occurring in certain face regions reveal expressions and AU activations. In this paper, the discriminant incoherent component analysis (DICA) is proposed in order to extract low-complexity components, corresponding to facial attributes, which are mutually incoherent among different classes (e.g., identity, expression, and AU activation) from training data, even in the presence of gross sparse errors. To this end, a suitable optimization problem, involving the minimization of nuclear-and l1 -norm, is solved. Having found an ensemble of class-specific incoherent components by the DICA, an unseen (test) image is expressed as a group-sparse linear combination of these components, where the non-zero coefficients reveal the class(es) of the respective facial attribute(s) that it belongs to. The performance of the DICA is experimentally assessed on both synthetic and real-world data. Emphasis is placed on face analysis tasks, namely, joint face and expression recognition, face recognition under varying percentages of training data corruption, subject-independent expression recognition, and AU detection by conducting experiments on four data sets. The proposed method outperforms all the methods that are compared with all the tasks and experimental settings.

  20. Optimal discrimination index and discrimination efficiency for essay questions.

    PubMed

    Chan, Wing-shing

    2014-01-01

    Recommended guidelines for discrimination index of multiple choice questions are often indiscriminately applied to essay type questions also. Optimal discrimination index under normality condition for essay question is independently derived. Satisfactory region for discrimination index of essay questions with passing mark at 50% of the total is between 0.12 and 0.31 instead of 0.40 or more in the case for multiple-choice questions. Optimal discrimination index for essay question is shown to increase proportional to the range of scores. Discrimination efficiency as the ratio of the observed discrimination index over the optimal discrimination index is defined. Recommended guidelines for discrimination index of essay questions are provided.

  1. Frequency discriminator/phase detector

    NASA Technical Reports Server (NTRS)

    Crow, R. B.

    1974-01-01

    Circuit provides dual function of frequency discriminator/phase detector which reduces frequency acquisition time without adding to circuit complexity. Both frequency discriminators, in evaluated frequency discriminator/phase detector circuits, are effective two decades above and below center frequency.

  2. Dombrock genotyping in Brazilian blood donors reveals different regional frequencies of the HY allele

    PubMed Central

    Piassi, Fabiana Chagas Camargos; Santos, Silvana Maria Eloi; de Castilho, Lilian Maria; Baleotti Júnior, Wilson; Suzuki, Rodrigo Buzinaro; da Cunha, Débora Moura

    2013-01-01

    Background Dombrock blood group system genotyping has revealed various rearrangements of the Dombrock gene and identified new variant alleles in Brazil (i.e., DO*A-SH, DO*A-WL and DO*B-WL). Because of the high heterogeneity of the Brazilian population, interregional differences are expected during the investigation of Dombrock genotypes. Objective The present study aims to determine the frequencies of Dombrock genotypes in blood donors from Minas Gerais and compare the frequencies of the HY and JO alleles to those of another population in Brazil. Methods The frequencies of the DO alleles in Minas Gerais, a southeastern state of Brazil, were determined from the genotyping of 270 blood donors. Genotyping involved polymerase chain reaction and restriction fragment length polymorphism analysis to identify the 323G>T, 350C>T, 793A>G, and 898C>G mutations, which are related to the HY, JO, DO*A/DO*B, and DO*A-WL/DO*B-WL alleles, respectively. Moreover, the frequencies of rare HY and JO alleles were statistically compared using the chi-square test with data from another Brazilian region. Results The HY allele frequency in Minas Gerais (2.4%) was almost twice that of the JO allele (1.5%). The frequency of the HY allele was significantly higher (p-value = 0.001) than that in another Brazilian population and includes a rare homozygous donor with the Hy- phenotype. In addition, the DO*A-WL and DO*B-WL alleles, which were first identified in Brazil, were found in the state of Minas Gerais. Conclusions The data confirm that the frequencies of DO alleles differ between regions in Brazil. The population of Minas Gerais could be targeted in a screening strategy to identify the Hy- phenotype in order to develop a rare blood bank. PMID:24478605

  3. Multicolor-based discrimination of 21 short tandem repeats and amelogenin using four fluorescent universal primers.

    PubMed

    Asari, Masaru; Okuda, Katsuhiro; Hoshina, Chisato; Omura, Tomohiro; Tasaki, Yoshikazu; Shiono, Hiroshi; Matsubara, Kazuo; Shimizu, Keiko

    2016-02-01

    The aim of this study was to develop a cost-effective genotyping method using high-quality DNA for human identification. A total of 21 short tandem repeats (STRs) and amelogenin were selected, and fluorescent fragments at 22 loci were simultaneously amplified in a single-tube reaction using locus-specific primers with 24-base universal tails and four fluorescent universal primers. Several nucleotide substitutions in universal tails and fluorescent universal primers enabled the detection of specific fluorescent fragments from the 22 loci. Multiplex polymerase chain reaction (PCR) produced intense FAM-, VIC-, NED-, and PET-labeled fragments ranging from 90 to 400 bp, and these fragments were discriminated using standard capillary electrophoretic analysis. The selected 22 loci were also analyzed using two commercial kits (the AmpFLSTR Identifiler Kit and the PowerPlex ESX 17 System), and results for two loci (D19S433 and D16S539) were discordant between these kits due to mutations at the primer binding sites. All genotypes from the 100 samples were determined using 2.5 ng of DNA by our method, and the expected alleles were completely recovered. Multiplex 22-locus genotyping using four fluorescent universal primers effectively reduces the costs to less than 20% of genotyping using commercial kits, and our method would be useful to detect silent alleles from commercial kit analysis. PMID:26505528

  4. Forensic Loci Allele Database (FLAD): Automatically generated, permanent identifiers for sequenced forensic alleles.

    PubMed

    Van Neste, Christophe; Van Criekinge, Wim; Deforce, Dieter; Van Nieuwerburgh, Filip

    2016-01-01

    It is difficult to predict if and when massively parallel sequencing of forensic STR loci will replace capillary electrophoresis as the new standard technology in forensic genetics. The main benefits of sequencing are increased multiplexing scales and SNP detection. There is not yet a consensus on how sequenced profiles should be reported. We present the Forensic Loci Allele Database (FLAD) service, made freely available on http://forensic.ugent.be/FLAD/. It offers permanent identifiers for sequenced forensic alleles (STR or SNP) and their microvariants for use in forensic allele nomenclature. Analogous to Genbank, its aim is to provide permanent identifiers for forensically relevant allele sequences. Researchers that are developing forensic sequencing kits or are performing population studies, can register on http://forensic.ugent.be/FLAD/ and add loci and allele sequences with a short and simple application interface (API).

  5. Increasing Allele Detection by Altering the Quantity of Internal Lane Standard.

    PubMed

    Esparza, Jessica M; Michalik, Monnie; Dukes, Mary Jones; Wojtkiewicz, Patrick

    2016-01-01

    Electrokinetic injection (EI) is the primary method used in forensic laboratories to load amplified PCR product in capillary electrophoresis for short tandem repeat (STR) fragment separation. Because all samples subjected to capillary electrophoresis use internal lane standard (ILS), this study investigated the consequence of varying the volume of ILS and its effects on allele peak heights and number of alleles detected. Results demonstrated that when the volume of ILS is reduced, the average peak height and number of alleles increased, thereby increasing the sensitivity of the detection method. Sizing anomalies were observed; however, they did not adversely affect accuracy and precision. The method developed in this study offers a simple and universal procedure to increase the alleles detected in forensic STR analysis. Reducing the volume of ILS to achieve greater sensitivity is applicable to all STR amplification kits and capillary electrophoresis instruments currently used in forensic DNA analysis. PMID:26390320

  6. Mass discrimination during weightlessness

    NASA Technical Reports Server (NTRS)

    Ross, H.

    1981-01-01

    An experiment concerned with the ability of astronauts to discriminate between the mass of objects when both the objects and the astronauts are in weightless states is described. The main object of the experiment is to compare the threshold for weight-discrimination on Earth with that for mass-discrimination in orbit. Tests will be conducted premission and postmission and early and late during the mission while the crew is experiencing weightlessness. A comparison of early and late tests inflight and postflight will reveal the rate of adaptation to zero-gravity and 1-g. The mass discrimination box holds 24 balls which the astronaut will compare to one another in a random routine.

  7. Angular velocity discrimination

    NASA Technical Reports Server (NTRS)

    Kaiser, Mary K.

    1990-01-01

    Three experiments designed to investigate the ability of naive observers to discriminate rotational velocities of two simultaneously viewed objects are described. Rotations are constrained to occur about the x and y axes, resulting in linear two-dimensional image trajectories. The results indicate that observers can discriminate angular velocities with a competence near that for linear velocities. However, perceived angular rate is influenced by structural aspects of the stimuli.

  8. Cost-effective genome-wide estimation of allele frequencies from pooled DNA in Atlantic salmon (Salmo salar L.)

    PubMed Central

    2013-01-01

    Background New sequencing technologies have tremendously increased the number of known molecular markers (single nucleotide polymorphisms; SNPs) in a variety of species. Concurrently, improvements to genotyping technology have now made it possible to efficiently genotype large numbers of genome-wide distributed SNPs enabling genome wide association studies (GWAS). However, genotyping significant numbers of individuals with large number of SNPs remains prohibitively expensive for many research groups. A possible solution to this problem is to determine allele frequencies from pooled DNA samples, such ‘allelotyping’ has been presented as a cost-effective alternative to individual genotyping and has become popular in human GWAS. In this article we have tested the effectiveness of DNA pooling to obtain accurate allele frequency estimates for Atlantic salmon (Salmo salar L.) populations using an Illumina SNP-chip. Results In total, 56 Atlantic salmon DNA pools from 14 populations were analyzed on an Atlantic salmon SNP-chip containing probes for 5568 SNP markers, 3928 of which were bi-allelic. We developed an efficient quality control filter which enables exclusion of loci showing high error rate and minor allele frequency (MAF) close to zero. After applying multiple quality control filters we obtained allele frequency estimates for 3631 bi-allelic loci. We observed high concordance (r > 0.99) between allele frequency estimates derived from individual genotyping and DNA pools. Our results also indicate that even relatively small DNA pools (35 individuals) can provide accurate allele frequency estimates for a given sample. Conclusions Despite of higher level of variation associated with array replicates compared to pool construction, we suggest that both sources of variation should be taken into account. This study demonstrates that DNA pooling allows fast and high-throughput determination of allele frequencies in Atlantic salmon enabling cost

  9. Clutter depth discrimination using the wavenumber spectrum.

    PubMed

    Benjamin Reeder, D

    2014-01-01

    Clutter depth is a key parameter in mid-frequency active sonar systems to discriminate between sources of clutter and targets of interest. A method is needed to remotely discriminate clutter depth by information contained in the backscattered signal-without a priori knowledge of that depth. Presented here is an efficient approach for clutter depth estimation using the structure in the wavenumber spectrum. Based on numerical simulations for a simple test case in a shallow water waveguide, this technique demonstrates the potential capability to discriminate between a clutter source in the water column vs one on the seabed.

  10. A signal filtering method for improved quantification and noise discrimination in fourier transform ion cyclotron resonance mass spectrometry-based metabolomics data.

    PubMed

    Payne, Tristan G; Southam, Andrew D; Arvanitis, Theodoros N; Viant, Mark R

    2009-06-01

    Direct-infusion electrospray-ionization Fourier transform ion cyclotron resonance mass spectrometry (DI ESI FT-ICR MS) is increasingly being utilized in metabolomics, including the high sensitivity selected ion monitoring (SIM)-stitching approach. Accurate signal quantification and the discrimination of real signals from noise remain major challenges for this approach, with both adversely affected by factors including ion suppression during electrospray, ion-ion interactions in the detector cell, and thermally-induced white noise. This is particularly problematic for complex mixture analysis where hundreds of metabolites are present near the noise level. Here we address relative signal quantification and noise discrimination issues in SIM-stitched DI ESI FT-ICR MS-based metabolomics. Using liver tissue, we first optimized the number of scans (n) acquired per SIM window to address the balance between quantification accuracy versus acquisition time (and thus sample throughput); a minimum of n = 5 is recommended. Secondly, we characterized and computationally-corrected an effect whereby an ion's intensity is dependent upon its location within a SIM window, exhibiting a 3-fold higher intensity at the high m/z end. This resulted in significantly improved quantification accuracy. Finally, we thoroughly characterized a three-stage filter to discriminate noise from real signals, which comprised a signal-to-noise-ratio (SNR) hard threshold, then a "replicate" filter (retaining only peaks in r-out-of-3 replicate analyses), and then a "sample" filter (retaining only peaks in >s% of biological samples). We document the benefits of three-stage filtering versus one- and two-stage filters, and show the importance of selecting filter parameters that balance the confidence that a signal is real versus the total number of peaks detected.

  11. The Sociology of Discrimination: Racial Discrimination in Employment, Housing, Credit, and Consumer Markets.

    PubMed

    Pager, Devah; Shepherd, Hana

    2008-01-01

    Persistent racial inequality in employment, housing, and a wide range of other social domains has renewed interest in the possible role of discrimination. And yet, unlike in the pre-civil rights era, when racial prejudice and discrimination were overt and widespread, today discrimination is less readily identifiable, posing problems for social scientific conceptualization and measurement. This article reviews the relevant literature on discrimination, with an emphasis on racial discrimination in employment, housing, credit markets, and consumer interactions. We begin by defining discrimination and discussing relevant methods of measurement. We then provide an overview of major findings from studies of discrimination in each of the four domains; and, finally, we turn to a discussion of the individual, organizational, and structural mechanisms that may underlie contemporary forms of discrimination. This discussion seeks to orient readers to some of the key debates in the study of discrimination and to provide a roadmap for those interested in building upon this long and important line of research. PMID:20689680

  12. The Sociology of Discrimination: Racial Discrimination in Employment, Housing, Credit, and Consumer Markets

    PubMed Central

    Pager, Devah; Shepherd, Hana

    2010-01-01

    Persistent racial inequality in employment, housing, and a wide range of other social domains has renewed interest in the possible role of discrimination. And yet, unlike in the pre–civil rights era, when racial prejudice and discrimination were overt and widespread, today discrimination is less readily identifiable, posing problems for social scientific conceptualization and measurement. This article reviews the relevant literature on discrimination, with an emphasis on racial discrimination in employment, housing, credit markets, and consumer interactions. We begin by defining discrimination and discussing relevant methods of measurement. We then provide an overview of major findings from studies of discrimination in each of the four domains; and, finally, we turn to a discussion of the individual, organizational, and structural mechanisms that may underlie contemporary forms of discrimination. This discussion seeks to orient readers to some of the key debates in the study of discrimination and to provide a roadmap for those interested in building upon this long and important line of research. PMID:20689680

  13. Intragenic allele pyramiding combines different specificities of wheat Pm3 resistance alleles.

    PubMed

    Brunner, Susanne; Hurni, Severine; Streckeisen, Philipp; Mayr, Gabriele; Albrecht, Mario; Yahiaoui, Nabila; Keller, Beat

    2010-11-01

    Some plant resistance genes occur as allelic series, with each member conferring specific resistance against a subset of pathogen races. In wheat, there are 17 alleles of the Pm3 gene. They encode nucleotide-binding (NB-ARC) and leucine-rich-repeat (LRR) domain proteins, which mediate resistance to distinct race spectra of powdery mildew. It is not known if specificities from different alleles can be combined to create resistance genes with broader specificity. Here, we used an approach based on avirulence analysis of pathogen populations to characterize the molecular basis of Pm3 recognition spectra. A large survey of mildew races for avirulence on the Pm3 alleles revealed that Pm3a has a resistance spectrum that completely contains that of Pm3f, but also extends towards additional races. The same is true for the Pm3b and Pm3c gene pair. The molecular analysis of these allelic pairs revealed a role of the NB-ARC protein domain in the efficiency of effector-dependent resistance. Analysis of the wild-type and chimeric Pm3 alleles identified single residues in the C-terminal LRR motifs as the main determinant of allele specificity. Variable residues of the N-terminal LRRs are necessary, but not sufficient, to confer resistance specificity. Based on these data, we constructed a chimeric Pm3 gene by intragenic allele pyramiding of Pm3d and Pm3e that showed the combined resistance specificity and, thus, a broader recognition spectrum compared with the parental alleles. Our findings support a model of stepwise evolution of Pm3 recognition specificities.

  14. Allelic Selection of Amplicons in Glioblastoma Revealed by Combining Somatic and Germline Analysis

    PubMed Central

    Wilkins, Katherine; Pe'er, Itsik; Freedman, Matthew L.

    2010-01-01

    Cancer is a disease driven by a combination of inherited risk alleles coupled with the acquisition of somatic mutations, including amplification and deletion of genomic DNA. Potential relationships between the inherited and somatic aspects of the disease have only rarely been examined on a genome-wide level. Applying a novel integrative analysis of SNP and copy number measurements, we queried the tumor and normal-tissue genomes of 178 glioblastoma patients from the Cancer Genome Atlas project for preferentially amplified alleles, under the hypothesis that oncogenic germline variants will be selectively amplified in the tumor environment. Selected alleles are revealed by allelic imbalance in amplification across samples. This general approach is based on genetic principles and provides a method for identifying important tumor-related alleles. We find that SNP alleles that are most significantly overrepresented in amplicons tend to occur in genes involved with regulation of kinase and transferase activity, and many of these genes are known contributors to gliomagenesis. The analysis also implicates variants in synapse genes. By incorporating gene expression data, we demonstrate synergy between preferential allelic amplification and expression in DOCK4 and EGFR. Our results support the notion that combining germline and tumor genetic data can identify regions relevant to cancer biology. PMID:20824129

  15. Allelic exchange in Mycobacterium tuberculosis with long linear recombination substrates.

    PubMed Central

    Balasubramanian, V; Pavelka, M S; Bardarov, S S; Martin, J; Weisbrod, T R; McAdam, R A; Bloom, B R; Jacobs, W R

    1996-01-01

    Genetic studies of Mycobacterium tuberculosis have been greatly hampered by the inability to introduce specific chromosomal mutations. Whereas the ability to perform allelic exchanges has provided a useful method of gene disruption in other organisms, in the clinically important species of mycobacteria, such as M. tuberculosis and Mycobacterium bovis, similar approaches have thus far been unsuccessful. In this communication, we report the development of a shuttle mutagenesis strategy that involves the use of long linear recombination substrates to reproducibly obtain recombinants by allelic exchange in M. tuberculosis. Long linear recombination substrates, approximately 40 to 50 kb in length, were generated by constructing libraries in the excisable cosmid vector pYUB328. The cosmid vector could be readily excised from the recombinant cosmids by digestion with PacI, a restriction endonuclease for which there exist few, if any, sites in mycobacterial genomes. A cosmid containing the mycobacterial leuD gene was isolated, and a selectable marker conferring resistance to kanamycin was inserted into the leuD gene in the recombinant cosmid by interplasmid recombination in Escherichia coli. A long linear recombination substrate containing the insertionally mutated leuD gene was generated by PacI digestion. Electroporation of this recombination substrate containing the insertionally mutated leuD allele resulted in the generation of leucine auxotrophic mutants by homologous recombination in 6% of the kanamycin-resistant transformants for both the Erdman and H37Rv strains of M. tuberculosis. The ability to perform allelic exchanges provides an important approach for investigating the biology of this pathogen as well as developing new live-cell M. tuberculosis-based vaccines. PMID:8550428

  16. Discrimination Method of the Volatiles from Fresh Mushrooms by an Electronic Nose Using a Trapping System and Statistical Standardization to Reduce Sensor Value Variation

    PubMed Central

    Fujioka, Kouki; Shimizu, Nobuo; Manome, Yoshinobu; Ikeda, Keiichi; Yamamoto, Kenji; Tomizawa, Yasuko

    2013-01-01

    Electronic noses have the benefit of obtaining smell information in a simple and objective manner, therefore, many applications have been developed for broad analysis areas such as food, drinks, cosmetics, medicine, and agriculture. However, measurement values from electronic noses have a tendency to vary under humidity or alcohol exposure conditions, since several types of sensors in the devices are affected by such variables. Consequently, we show three techniques for reducing the variation of sensor values: (1) using a trapping system to reduce the infering components; (2) performing statistical standardization (calculation of z-score); and (3) selecting suitable sensors. With these techniques, we discriminated the volatiles of four types of fresh mushrooms: golden needle (Flammulina velutipes), white mushroom (Agaricus bisporus), shiitake (Lentinus edodes), and eryngii (Pleurotus eryngii) among six fresh mushrooms (hen of the woods (Grifola frondosa), shimeji (Hypsizygus marmoreus) plus the above mushrooms). Additionally, we succeeded in discrimination of white mushroom, only comparing with artificial mushroom flavors, such as champignon flavor and truffle flavor. In conclusion, our techniques will expand the options to reduce variations in sensor values. PMID:24233028

  17. Real-time motion discrimination considering variation of EMG signals associated with lapse of time.

    PubMed

    Shiraki, Masashi; Tsujiuchi, Nobutaka; Akihito, Ito; Yamamoto, Tetsushi

    2015-08-01

    This study proposes a motion discrimination method that considers the variation of electromyogram (EMG) signals associated with a lapse of time. In a previous study, we proposed a real-time discrimination method based on EMG signals of the forearm. Our method uses a hypersphere model as a discriminator. In motion discrimination using EMG signals, one problem is to maintain high discrimination accuracy over time because EMG signals change with a lapse of time. This study analyzed the effect of changes in EMG signals on our method. Based on analysis results, adding a relearning system of the decision criteria to the discrimination system was expected to be effective. We created a new motion discrimination method that contains the relearning system and experimentally verified its effectiveness. The motion discrimination system discriminated three hand motions, open, grasp, and pinch with discrimination accuracy above 90% in real-time (processing time below 300 ms) even after time elapsed. PMID:26736306

  18. Discrimination in a General Algebraic Setting.

    PubMed

    Fine, Benjamin; Gaglione, Anthony; Lipschutz, Seymour; Spellman, Dennis

    2015-01-01

    Discriminating groups were introduced by G. Baumslag, A. Myasnikov, and V. Remeslennikov as an outgrowth of their theory of algebraic geometry over groups. Algebraic geometry over groups became the main method of attack on the solution of the celebrated Tarski conjectures. In this paper we explore the notion of discrimination in a general universal algebra context. As an application we provide a different proof of a theorem of Malcev on axiomatic classes of Ω-algebras.

  19. Discrimination in a General Algebraic Setting

    PubMed Central

    Fine, Benjamin; Gaglione, Anthony; Lipschutz, Seymour; Spellman, Dennis

    2015-01-01

    Discriminating groups were introduced by G. Baumslag, A. Myasnikov, and V. Remeslennikov as an outgrowth of their theory of algebraic geometry over groups. Algebraic geometry over groups became the main method of attack on the solution of the celebrated Tarski conjectures. In this paper we explore the notion of discrimination in a general universal algebra context. As an application we provide a different proof of a theorem of Malcev on axiomatic classes of Ω-algebras. PMID:26171421

  20. Rotary pin-in-maze discriminator

    DOEpatents

    Benavides, G.L.

    1997-05-06

    A discriminator apparatus and method that discriminates between a unique signal and any other (incorrect) signal are disclosed. The unique signal is a sequence of events; each event can assume one of two possible event states. Given the unique signal, a maze wheel is allowed to rotate fully in one direction. Given an incorrect signal, both the maze wheel and a pin wheel lock in position. 4 figs.

  1. Semiparametric Allelic Tests for Mapping Multiple Phenotypes: Binomial Regression and Mahalanobis Distance.

    PubMed

    Majumdar, Arunabha; Witte, John S; Ghosh, Saurabh

    2015-12-01

    Binary phenotypes commonly arise due to multiple underlying quantitative precursors and genetic variants may impact multiple traits in a pleiotropic manner. Hence, simultaneously analyzing such correlated traits may be more powerful than analyzing individual traits. Various genotype-level methods, e.g., MultiPhen (O'Reilly et al. []), have been developed to identify genetic factors underlying a multivariate phenotype. For univariate phenotypes, the usefulness and applicability of allele-level tests have been investigated. The test of allele frequency difference among cases and controls is commonly used for mapping case-control association. However, allelic methods for multivariate association mapping have not been studied much. In this article, we explore two allelic tests of multivariate association: one using a Binomial regression model based on inverted regression of genotype on phenotype (Binomial regression-based Association of Multivariate Phenotypes [BAMP]), and the other employing the Mahalanobis distance between two sample means of the multivariate phenotype vector for two alleles at a single-nucleotide polymorphism (Distance-based Association of Multivariate Phenotypes [DAMP]). These methods can incorporate both discrete and continuous phenotypes. Some theoretical properties for BAMP are studied. Using simulations, the power of the methods for detecting multivariate association is compared with the genotype-level test MultiPhen's. The allelic tests yield marginally higher power than MultiPhen for multivariate phenotypes. For one/two binary traits under recessive mode of inheritance, allelic tests are found to be substantially more powerful. All three tests are applied to two different real data and the results offer some support for the simulation study. We propose a hybrid approach for testing multivariate association that implements MultiPhen when Hardy-Weinberg Equilibrium (HWE) is violated and BAMP otherwise, because the allelic approaches assume HWE.

  2. Semiparametric Allelic Tests for Mapping Multiple Phenotypes: Binomial Regression and Mahalanobis Distance.

    PubMed

    Majumdar, Arunabha; Witte, John S; Ghosh, Saurabh

    2015-12-01

    Binary phenotypes commonly arise due to multiple underlying quantitative precursors and genetic variants may impact multiple traits in a pleiotropic manner. Hence, simultaneously analyzing such correlated traits may be more powerful than analyzing individual traits. Various genotype-level methods, e.g., MultiPhen (O'Reilly et al. []), have been developed to identify genetic factors underlying a multivariate phenotype. For univariate phenotypes, the usefulness and applicability of allele-level tests have been investigated. The test of allele frequency difference among cases and controls is commonly used for mapping case-control association. However, allelic methods for multivariate association mapping have not been studied much. In this article, we explore two allelic tests of multivariate association: one using a Binomial regression model based on inverted regression of genotype on phenotype (Binomial regression-based Association of Multivariate Phenotypes [BAMP]), and the other employing the Mahalanobis distance between two sample means of the multivariate phenotype vector for two alleles at a single-nucleotide polymorphism (Distance-based Association of Multivariate Phenotypes [DAMP]). These methods can incorporate both discrete and continuous phenotypes. Some theoretical properties for BAMP are studied. Using simulations, the power of the methods for detecting multivariate association is compared with the genotype-level test MultiPhen's. The allelic tests yield marginally higher power than MultiPhen for multivariate phenotypes. For one/two binary traits under recessive mode of inheritance, allelic tests are found to be substantially more powerful. All three tests are applied to two different real data and the results offer some support for the simulation study. We propose a hybrid approach for testing multivariate association that implements MultiPhen when Hardy-Weinberg Equilibrium (HWE) is violated and BAMP otherwise, because the allelic approaches assume HWE

  3. Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests

    PubMed Central

    2011-01-01

    Background Dementia and cognitive impairment associated with aging are a major medical and social concern. Neuropsychological testing is a key element in the diagnostic procedures of Mild Cognitive Impairment (MCI), but has presently a limited value in the prediction of progression to dementia. We advance the hypothesis that newer statistical classification methods derived from data mining and machine learning methods like Neural Networks, Support Vector Machines and Random Forests can improve accuracy, sensitivity and specificity of predictions obtained from neuropsychological testing. Seven non parametric classifiers derived from data mining methods (Multilayer Perceptrons Neural Networks, Radial Basis Function Neural Networks, Support Vector Machines, CART, CHAID and QUEST Classification Trees and Random Forests) were compared to three traditional classifiers (Linear Discriminant Analysis, Quadratic Discriminant Analysis and Logistic Regression) in terms of overall classification accuracy, specificity, sensitivity, Area under the ROC curve and Press'Q. Model predictors were 10 neuropsychological tests currently used in the diagnosis of dementia. Statistical distributions of classification parameters obtained from a 5-fold cross-validation were compared using the Friedman's nonparametric test. Results Press' Q test showed that all classifiers performed better than chance alone (p < 0.05). Support Vector Machines showed the larger overall classification accuracy (Median (Me) = 0.76) an area under the ROC (Me = 0.90). However this method showed high specificity (Me = 1.0) but low sensitivity (Me = 0.3). Random Forest ranked second in overall accuracy (Me = 0.73) with high area under the ROC (Me = 0.73) specificity (Me = 0.73) and sensitivity (Me = 0.64). Linear Discriminant Analysis also showed acceptable overall accuracy (Me = 0.66), with acceptable area under the ROC (Me = 0.72) specificity (Me = 0.66) and sensitivity (Me = 0.64). The remaining classifiers showed

  4. Contribution of non-reference alleles in mtDNA of Alzheimer's disease patients.

    PubMed

    Casoli, Tiziana; Di Stefano, Giuseppina; Spazzafumo, Liana; Balietti, Marta; Giorgetti, Belinda; Giuli, Cinzia; Postacchini, Demetrio; Fattoretti, Patrizia; Conti, Fiorenzo

    2014-04-01

    Many observations suggest that mutations of mitochondrial DNA (mtDNA) could be responsible for the neurodegenerative changes of Alzheimer's disease (AD). Here we examined the signal intensity of the four alleles of each mtDNA nucleotide position (np) in whole blood of AD patients and age-matched controls using MitoChip v2.0 array. Our analysis identified 270 significantly different nps which, with one exception, showed an increased contribution of non-reference alleles in AD patients. Principal component analysis (PCA) and cluster analysis showed that five of these nps could discriminate AD from control subjects with 80% of cases correctly classified. Our data support the hypothesis of mtDNA alterations as an important factor in the etiology of AD. PMID:25590040

  5. Allele frequencies of 14 STR loci in the population of Malta.

    PubMed

    Cassar, M; Farrugia, C; Vidal, C

    2008-05-01

    Allele frequencies of 14 STR loci (D13S317, D16S539, D2S1338, vWA, TPOX, D18S51, D5S818, FGA, D8S1179, D21S11, D7S820, CSF1PO, TH01 and D3S1358) observed in the population of Malta are being reported. Polymerase chain reaction (PCR) amplification using the AmpFl STR Identifiler kit was performed in a random sample of 157 subjects (314 chromosomes). Markers D2S1338, D18S51 and FGA had the highest power of discrimination (PD) values while TPOX was the least informative marker. Allele frequencies observed in the Maltese population were also compared with those of other populations from the Mediterranean region, Europe and Africa. Our data is useful for anthropological and other comparative studies of populations and is powerful for forensic and paternity testing in the Maltese islands.

  6. Binocular contrast discrimination needs monocular multiplicative noise

    PubMed Central

    Ding, Jian; Levi, Dennis M.

    2016-01-01

    The effects of signal and noise on contrast discrimination are difficult to separate because of a singularity in the signal-detection-theory model of two-alternative forced-choice contrast discrimination (Katkov, Tsodyks, & Sagi, 2006). In this article, we show that it is possible to eliminate the singularity by combining that model with a binocular combination model to fit monocular, dichoptic, and binocular contrast discrimination. We performed three experiments using identical stimuli to measure the perceived phase, perceived contrast, and contrast discrimination of a cyclopean sine wave. In the absence of a fixation point, we found a binocular advantage in contrast discrimination both at low contrasts (<4%), consistent with previous studies, and at high contrasts (≥34%), which has not been previously reported. However, control experiments showed no binocular advantage at high contrasts in the presence of a fixation point or for observers without accommodation. We evaluated two putative contrast-discrimination mechanisms: a nonlinear contrast transducer and multiplicative noise (MN). A binocular combination model (the DSKL model; Ding, Klein, & Levi, 2013b) was first fitted to both the perceived-phase and the perceived-contrast data sets, then combined with either the nonlinear contrast transducer or the MN mechanism to fit the contrast-discrimination data. We found that the best model combined the DSKL model with early MN. Model simulations showed that, after going through interocular suppression, the uncorrelated noise in the two eyes became anticorrelated, resulting in less binocular noise and therefore a binocular advantage in the discrimination task. Combining a nonlinear contrast transducer or MN with a binocular combination model (DSKL) provides a powerful method for evaluating the two putative contrast-discrimination mechanisms. PMID:26982370

  7. Binocular contrast discrimination needs monocular multiplicative noise.

    PubMed

    Ding, Jian; Levi, Dennis M

    2016-01-01

    The effects of signal and noise on contrast discrimination are difficult to separate because of a singularity in the signal-detection-theory model of two-alternative forced-choice contrast discrimination (Katkov, Tsodyks, & Sagi, 2006). In this article, we show that it is possible to eliminate the singularity by combining that model with a binocular combination model to fit monocular, dichoptic, and binocular contrast discrimination. We performed three experiments using identical stimuli to measure the perceived phase, perceived contrast, and contrast discrimination of a cyclopean sine wave. In the absence of a fixation point, we found a binocular advantage in contrast discrimination both at low contrasts (<4%), consistent with previous studies, and at high contrasts (≥34%), which has not been previously reported. However, control experiments showed no binocular advantage at high contrasts in the presence of a fixation point or for observers without accommodation. We evaluated two putative contrast-discrimination mechanisms: a nonlinear contrast transducer and multiplicative noise (MN). A binocular combination model (the DSKL model; Ding, Klein, & Levi, 2013b) was first fitted to both the perceived-phase and the perceived-contrast data sets, then combined with either the nonlinear contrast transducer or the MN mechanism to fit the contrast-discrimination data. We found that the best model combined the DSKL model with early MN. Model simulations showed that, after going through interocular suppression, the uncorrelated noise in the two eyes became anticorrelated, resulting in less binocular noise and therefore a binocular advantage in the discrimination task. Combining a nonlinear contrast transducer or MN with a binocular combination model (DSKL) provides a powerful method for evaluating the two putative contrast-discrimination mechanisms.

  8. Binocular contrast discrimination needs monocular multiplicative noise.

    PubMed

    Ding, Jian; Levi, Dennis M

    2016-01-01

    The effects of signal and noise on contrast discrimination are difficult to separate because of a singularity in the signal-detection-theory model of two-alternative forced-choice contrast discrimination (Katkov, Tsodyks, & Sagi, 2006). In this article, we show that it is possible to eliminate the singularity by combining that model with a binocular combination model to fit monocular, dichoptic, and binocular contrast discrimination. We performed three experiments using identical stimuli to measure the perceived phase, perceived contrast, and contrast discrimination of a cyclopean sine wave. In the absence of a fixation point, we found a binocular advantage in contrast discrimination both at low contrasts (<4%), consistent with previous studies, and at high contrasts (≥34%), which has not been previously reported. However, control experiments showed no binocular advantage at high contrasts in the presence of a fixation point or for observers without accommodation. We evaluated two putative contrast-discrimination mechanisms: a nonlinear contrast transducer and multiplicative noise (MN). A binocular combination model (the DSKL model; Ding, Klein, & Levi, 2013b) was first fitted to both the perceived-phase and the perceived-contrast data sets, then combined with either the nonlinear contrast transducer or the MN mechanism to fit the contrast-discrimination data. We found that the best model combined the DSKL model with early MN. Model simulations showed that, after going through interocular suppression, the uncorrelated noise in the two eyes became anticorrelated, resulting in less binocular noise and therefore a binocular advantage in the discrimination task. Combining a nonlinear contrast transducer or MN with a binocular combination model (DSKL) provides a powerful method for evaluating the two putative contrast-discrimination mechanisms. PMID:26982370

  9. Tumor transcriptome sequencing reveals allelic expression imbalances associated with copy number alterations.

    PubMed

    Tuch, Brian B; Laborde, Rebecca R; Xu, Xing; Gu, Jian; Chung, Christina B; Monighetti, Cinna K; Stanley, Sarah J; Olsen, Kerry D; Kasperbauer, Jan L; Moore, Eric J; Broomer, Adam J; Tan, Ruoying; Brzoska, Pius M; Muller, Matthew W; Siddiqui, Asim S; Asmann, Yan W; Sun, Yongming; Kuersten, Scott; Barker, Melissa A; De La Vega, Francisco M; Smith, David I

    2010-02-19

    Due to growing throughput and shrinking cost, massively parallel sequencing is rapidly becoming an attractive alternative to microarrays for the genome-wide study of gene expression and copy number alterations in primary tumors. The sequencing of transcripts (RNA-Seq) should offer several advantages over microarray-based methods, including the ability to detect somatic mutations and accurately measure allele-specific expression. To investigate these advantages we have applied a novel, strand-specific RNA-Seq method to tumors and matched normal tissue from three patients with oral squamous cell carcinomas. Additionally, to better understand the genomic determinants of the gene expression changes observed, we have sequenced the tumor and normal genomes of one of these patients. We demonstrate here that our RNA-Seq method accurately measures allelic imbalance and that measurement on the genome-wide scale yields novel insights into cancer etiology. As expected, the set of genes differentially expressed in the tumors is enriched for cell adhesion and differentiation functions, but, unexpectedly, the set of allelically imbalanced genes is also enriched for these same cancer-related functions. By comparing the transcriptomic perturbations observed in one patient to his underlying normal and tumor genomes, we find that allelic imbalance in the tumor is associated with copy number mutations and that copy number mutations are, in turn, strongly associated with changes in transcript abundance. These results support a model in which allele-specific deletions and duplications drive allele-specific changes in gene expression in the developing tumor.

  10. Discrimination of bed form scales using robust spline filters and wavelet transforms: Methods and application to synthetic signals and bed forms of the Río Paraná, Argentina

    NASA Astrophysics Data System (ADS)

    Gutierrez, Ronald R.; Abad, Jorge D.; Parsons, Daniel R.; Best, James L.

    2013-09-01

    There is no standard nomenclature and procedure to systematically identify the scale and magnitude of bed forms such as bars, dunes, and ripples that are commonly present in many sedimentary environments. This paper proposes a standardization of the nomenclature and symbolic representation of bed forms and details the combined application of robust spline filters and continuous wavelet transforms to discriminate these morphodynamic features, allowing the quantitative recognition of bed form hierarchies. Herein the proposed methodology for bed form discrimination is first applied to synthetic bed form profiles, which are sampled at a Nyquist ratio interval of 2.5-50 and a signal-to-noise ratio interval of 1-20 and subsequently applied to a detailed 3-D bed topography from the Río Paraná, Argentina, which exhibits large-scale dunes with superimposed, smaller bed forms. After discriminating the synthetic bed form signals into three-bed form hierarchies that represent bars, dunes, and ripples, the accuracy of the methodology is quantified by estimating the reproducibility, the cross correlation, and the standard deviation ratio of the actual and retrieved signals. For the case of the field measurements, the proposed method is used to discriminate small and large dunes and subsequently obtain and statistically analyze the common morphological descriptors such as wavelength, slope, and amplitude of both stoss and lee sides of these different size bed forms. Analysis of the synthetic signals demonstrates that the Morlet wavelet function is the most efficient in retrieving smaller periodicities such as ripples and smaller dunes and that the proposed methodology effectively discriminates waves of different periods for Nyquist ratios higher than 25 and signal-to-noise ratios higher than 5. The analysis of bed forms in the Río Paraná reveals that, in most cases, a Gamma probability distribution, with a positive skewness, best describes the dimensionless wavelength and

  11. A new triplex STR system without irregular alleles by silver staining and its potential application to forensic analysis.

    PubMed

    Yoshimoto, T; Yamamoto, T; Uchihi, R; Tamaki, K; Huang, X L; Mizutani, M; Tanaka, M; Armour, J A; Katsumata, Y

    2001-05-01

    In order to increase the discriminating power of DNA analysis in forensic science, we devised a new triplex STR system using three novel STR loci we previously reported, D14S299 (wglc5), D15S233 (wgldl), and 9q2h2. We designated this system a CDH triplex system. The CDH triplex system showed a high discriminating power, especially in Caucasians. This system is composed of three STR loci showing only regular tetranucleotide repeat alleles. We easily enlarged the databases mainly of Japanese, using this system, and compared them with those of Caucasian and Chinese. This CDH triplex system therefore appears to be useful for forensic practice. PMID:11372981

  12. Quantum Game of Two Discriminable Coins

    NASA Astrophysics Data System (ADS)

    Ren, Heng-Feng; Wang, Qing-Liang

    2008-07-01

    In some recent letters, it was reported that quantum strategies are more successful than classical ones for coin-tossing and roulette game. In this paper, we will solve the quantum game of two discriminable coins. And we develop two methods, analogy method and isolation method, to study this problem.

  13. DIFFERENTIAL PULSE HEIGHT DISCRIMINATOR

    DOEpatents

    Test, L.D.

    1958-11-11

    Pulse-height discriminators are described, specifically a differential pulse-height discriminator which is adapted to respond to pulses of a band of amplitudes, but to reject pulses of amplitudes greater or less than tbe preselected band. In general, the discriminator includes a vacuum tube having a plurality of grids adapted to cut off plate current in the tube upon the application of sufficient negative voltage. One grid is held below cutoff, while a positive pulse proportional to the amplltude of each pulse is applled to this grid. Another grid has a negative pulse proportional to the amplitude of each pulse simultaneously applied to it. With this arrangement the tube will only pass pulses which are of sufficlent amplitude to counter the cutoff bias but not of sufficlent amplitude to cutoff the tube.

  14. Initial invasion of gametophytic self-incompatibility alleles in the absence of tight linkage between pollen and pistil S alleles.

    PubMed

    Sakai, Satoki; Wakoh, Haluka

    2014-08-01

    In homomorphic self-incompatibility (SI) systems of plants, the loci controlling the pollen and pistil types are tightly linked, and this prevents the generation of compatible combinations of alleles expressing pollen and pistil types, which would result in self-fertilization. We modeled the initial invasion of the first pollen and pistil alleles in gametophytic SI to determine whether these alleles can stably coexist in a population without tight linkage. We assume pollen and pistil loci each carry an incompatibility allele S and an allele without an incompatibility function N. We assume that pollen with an S allele are incompatible with pistils carrying S alleles, whereas other crosses are compatible. Ovules in pistils carrying an S allele suffer viability costs because recognition consumes resources. We found that the cost of carrying a pistil S allele allows pollen and pistil S alleles to coexist in a stable equilibrium if linkage is partial. This occurs because parents that carry pistil S alleles but are homozygous for pollen N alleles cannot avoid self-fertilization; however, they suffer viability costs. Hence, pollen N alleles are selected again. When pollen and pistil S alleles can coexist in a polymorphic equilibrium, selection will favor tighter linkage.

  15. Rapid Discrimination for Traditional Complex Herbal Medicines from Different Parts, Collection Time, and Origins Using High-Performance Liquid Chromatography and Near-Infrared Spectral Fingerprints with Aid of Pattern Recognition Methods

    PubMed Central

    Fu, Haiyan; Fan, Yao; Zhang, Xu; Lan, Hanyue; Yang, Tianming; Shao, Mei; Li, Sihan

    2015-01-01

    As an effective method, the fingerprint technique, which emphasized the whole compositions of samples, has already been used in various fields, especially in identifying and assessing the quality of herbal medicines. High-performance liquid chromatography (HPLC) and near-infrared (NIR), with their unique characteristics of reliability, versatility, precision, and simple measurement, played an important role among all the fingerprint techniques. In this paper, a supervised pattern recognition method based on PLSDA algorithm by HPLC and NIR has been established to identify the information of Hibiscus mutabilis L. and Berberidis radix, two common kinds of herbal medicines. By comparing component analysis (PCA), linear discriminant analysis (LDA), and particularly partial least squares discriminant analysis (PLSDA) with different fingerprint preprocessing of NIR spectra variables, PLSDA model showed perfect functions on the analysis of samples as well as chromatograms. Most important, this pattern recognition method by HPLC and NIR can be used to identify different collection parts, collection time, and different origins or various species belonging to the same genera of herbal medicines which proved to be a promising approach for the identification of complex information of herbal medicines. PMID:26345990

  16. Rapid Discrimination for Traditional Complex Herbal Medicines from Different Parts, Collection Time, and Origins Using High-Performance Liquid Chromatography and Near-Infrared Spectral Fingerprints with Aid of Pattern Recognition Methods.

    PubMed

    Fu, Haiyan; Fan, Yao; Zhang, Xu; Lan, Hanyue; Yang, Tianming; Shao, Mei; Li, Sihan

    2015-01-01

    As an effective method, the fingerprint technique, which emphasized the whole compositions of samples, has already been used in various fields, especially in identifying and assessing the quality of herbal medicines. High-performance liquid chromatography (HPLC) and near-infrared (NIR), with their unique characteristics of reliability, versatility, precision, and simple measurement, played an important role among all the fingerprint techniques. In this paper, a supervised pattern recognition method based on PLSDA algorithm by HPLC and NIR has been established to identify the information of Hibiscus mutabilis L. and Berberidis radix, two common kinds of herbal medicines. By comparing component analysis (PCA), linear discriminant analysis (LDA), and particularly partial least squares discriminant analysis (PLSDA) with different fingerprint preprocessing of NIR spectra variables, PLSDA model showed perfect functions on the analysis of samples as well as chromatograms. Most important, this pattern recognition method by HPLC and NIR can be used to identify different collection parts, collection time, and different origins or various species belonging to the same genera of herbal medicines which proved to be a promising approach for the identification of complex information of herbal medicines. PMID:26345990

  17. Drugs, discrimination and disability.

    PubMed

    Gibson, Frances

    2009-12-01

    Whether addiction to prohibited drugs should be classified as a disability for the purposes of disability discrimination is a controversial question in Australia. The leading Australian case of Marsden v Human Rights Equal Opportunity Commission & Coffs Harbour & District Ex-Servicemen & Women's Memorial Club Ltd (HREOC, No H98/51, 30 August 1999); [2000] FCA 1619 concerned a disability discrimination complaint brought by Mr Marsden as a result of his treatment by the club. The case was brought as a public interest test case by the New South Wales Legal Aid Commission. Mr Marsden was on a methadone program at the time. The reasoning of the decision at the Federal Court opened the way for a finding that dependence on illegal drugs constituted a disability under disability discrimination legislation. The media reaction to the court's decision led to State and federal governments proposing legislation limiting legal protection from discrimination for people addicted to illegal drugs on the basis of their drug use. While the proposed federal legislation lapsed after objections from a coalition of medical, legal and other advocacy groups, the New South Wales legislation still provides that, in employment matters, it is not unlawful to discriminate against a person on the ground of disability if the disability relates to the person's addiction to a prohibited drug and the person is actually addicted to a prohibited drug at the time of the discrimination. The article details the sequence of events in the Marsden case, reflects on the role of public interest litigation in achieving social justice outcomes and suggests that Australia's recent ratification of the Convention on the Rights of Persons with Disabilities on 17 July 2008 should encourage legislators to review legislation which may have a discriminatory effect on people suffering from addictions. PMID:20169800

  18. Genetic heterogeneity within electrophoretic "alleles" of xanthine dehydrogenase in Drosophila pseudoobscura.

    PubMed

    Singh, R S; Lewontin, R C; Felton, A A

    1976-11-01

    An experimental plan for an exhaustive determination of genic variation at structural gene loci is presented. In the initial steps of this program, 146 isochromosomal lines from 12 geographic populations of D. pseudoobscura were examined for allelic variation of xanthine dehydrogenase by the serial use of 4 different electrophoretic conditions and a head stability test. The 5 criteria revealed a total of 37 allelic classes out of the 146 genomes examined where only 6 had been previously revealed by the usual method of gel electrophoresis. This immense increase in genic variation also showed previously unsuspected population differences between the main part of the species distribution and the isolated population of Bogotá population. The average heterozygosity at the Xdh locus is at least 72% in natural populations. This result, together with the very large number of alleles segregating and the pattern of allelic frequencies, has implications for theories of genetic polymorphism which are discussed.

  19. OptiMAS: A Decision Support Tool for Marker-Assisted Assembly of Diverse Alleles

    PubMed Central

    Valente, Fabio; Gauthier, Franck; Bardol, Nicolas; Blanc, Guylaine; Joets, Johann; Charcosset, Alain

    2013-01-01

    Current advances in plant genotyping lead to major progress in the knowledge of genetic architecture of traits of interest. It is increasingly important to develop decision support tools to help breeders and geneticists to conduct marker-assisted selection methods to assemble favorable alleles that are discovered. Algorithms have been implemented, within an interactive graphical interface, to 1) trace parental alleles throughout generations, 2) propose strategies to select the best plants based on estimated molecular scores, and 3) efficiently intermate them depending on the expected value of their progenies. With the possibility to consider a multi-allelic context, OptiMAS opens new prospects to assemble favorable alleles issued from diverse parents and further accelerate genetic gain. PMID:23576670

  20. OptiMAS: a decision support tool for marker-assisted assembly of diverse alleles.

    PubMed

    Valente, Fabio; Gauthier, Franck; Bardol, Nicolas; Blanc, Guylaine; Joets, Johann; Charcosset, Alain; Moreau, Laurence

    2013-01-01

    Current advances in plant genotyping lead to major progress in the knowledge of genetic architecture of traits of interest. It is increasingly important to develop decision support tools to help breeders and geneticists to conduct marker-assisted selection methods to assemble favorable alleles that are discovered. Algorithms have been implemented, within an interactive graphical interface, to 1) trace parental alleles throughout generations, 2) propose strategies to select the best plants based on estimated molecular scores, and 3) efficiently intermate them depending on the expected value of their progenies. With the possibility to consider a multi-allelic context, OptiMAS opens new prospects to assemble favorable alleles issued from diverse parents and further accelerate genetic gain.

  1. Do Heliconius butterfly species exchange mimicry alleles?

    PubMed

    Smith, Joel; Kronforst, Marcus R

    2013-08-23

    Hybridization has the potential to transfer beneficial alleles across species boundaries, and there are a growing number of examples in which this has apparently occurred. Recent studies suggest that Heliconius butterflies have transferred wing pattern mimicry alleles between species via hybridization, but ancestral polymorphism could also produce a signature of shared ancestry around mimicry genes. To distinguish between these alternative hypotheses, we measured DNA sequence divergence around putatively introgressed mimicry loci and compared this with the rest of the genome. Our results reveal that putatively introgressed regions show strongly reduced sequence divergence between co-mimetic species, suggesting that their divergence times are younger than the rest of the genome. This is consistent with introgression and not ancestral variation. We further show that this signature of introgression occurs at sites throughout the genome, not just around mimicry genes.

  2. The Effects of Musical Discrimination Training in Beginning Instrumental Music Classes.

    ERIC Educational Resources Information Center

    Delzell, Judith K.

    1989-01-01

    Studies the impact that musical discrimination training which incorporates models and discriminator foils, as well as modeling and imitation, has on beginning instrumental music classes. Shows that musical discrimination can be developed using these methods. Recommends further study to find effects of discrimination training on instrumental music…

  3. Comparison of allele frequencies of eight STR loci from Argentinian Amerindian and European populations.

    PubMed

    Sala, A; Penacino, G; Corach, D

    1998-10-01

    Eight STR systems (THO1, FABP, VWA, FES/FPS, HPRTB, F13A1, CSF1PO, and D6S366) were investigated in different ethnic groups of Argentina. Allele and genotype frequencies, power of exclusion, and discriminative power were investigated. Hardy-Weinberg expectations were calculated from heterozygosity levels. FST and G tests demonstrated that significant differences exist among the investigated populations for some of the eight STRs markers. The Wichi Indians are clearly separated from the Mapuche and Tehuelche, who in turn are closer to the European population, suggesting non-Amerindian admixture.

  4. Allelic variation contributes to bacterial host specificity.

    PubMed

    Yue, Min; Han, Xiangan; De Masi, Leon; Zhu, Chunhong; Ma, Xun; Zhang, Junjie; Wu, Renwei; Schmieder, Robert; Kaushik, Radhey S; Fraser, George P; Zhao, Shaohua; McDermott, Patrick F; Weill, François-Xavier; Mainil, Jacques G; Arze, Cesar; Fricke, W Florian; Edwards, Robert A; Brisson, Dustin; Zhang, Nancy R; Rankin, Shelley C; Schifferli, Dieter M

    2015-01-01

    Understanding the molecular parameters that regulate cross-species transmission and host adaptation of potential pathogens is crucial to control emerging infectious disease. Although microbial pathotype diversity is conventionally associated with gene gain or loss, the role of pathoadaptive nonsynonymous single-nucleotide polymorphisms (nsSNPs) has not been systematically evaluated. Here, our genome-wide analysis of core genes within Salmonella enterica serovar Typhimurium genomes reveals a high degree of allelic variation in surface-exposed molecules, including adhesins that promote host colonization. Subsequent multinomial logistic regression, MultiPhen and Random Forest analyses of known/suspected adhesins from 580 independent Typhimurium isolates identifies distinct host-specific nsSNP signatures. Moreover, population and functional analyses of host-associated nsSNPs for FimH, the type 1 fimbrial adhesin, highlights the role of key allelic residues in host-specific adherence in vitro. Together, our data provide the first concrete evidence that functional differences between allelic variants of bacterial proteins likely contribute to pathoadaption to diverse hosts. PMID:26515720

  5. Allelic variation contributes to bacterial host specificity

    SciTech Connect

    Yue, Min; Han, Xiangan; Masi, Leon De; Zhu, Chunhong; Ma, Xun; Zhang, Junjie; Wu, Renwei; Schmieder, Robert; Kaushik, Radhey S.; Fraser, George P.; Zhao, Shaohua; McDermott, Patrick F.; Weill, François-Xavier; Mainil, Jacques G.; Arze, Cesar; Fricke, W. Florian; Edwards, Robert A.; Brisson, Dustin; Zhang, Nancy R.; Rankin, Shelley C.; Schifferli, Dieter M.

    2015-10-30

    Understanding the molecular parameters that regulate cross-species transmission and host adaptation of potential pathogens is crucial to control emerging infectious disease. Although microbial pathotype diversity is conventionally associated with gene gain or loss, the role of pathoadaptive nonsynonymous single-nucleotide polymorphisms (nsSNPs) has not been systematically evaluated. Here, our genome-wide analysis of core genes within Salmonella enterica serovar Typhimurium genomes reveals a high degree of allelic variation in surface-exposed molecules, including adhesins that promote host colonization. Subsequent multinomial logistic regression, MultiPhen and Random Forest analyses of known/suspected adhesins from 580 independent Typhimurium isolates identifies distinct host-specific nsSNP signatures. Moreover, population and functional analyses of host-associated nsSNPs for FimH, the type 1 fimbrial adhesin, highlights the role of key allelic residues in host-specific adherence in vitro. In conclusion, together, our data provide the first concrete evidence that functional differences between allelic variants of bacterial proteins likely contribute to pathoadaption to diverse hosts.

  6. Allelic variation contributes to bacterial host specificity

    DOE PAGES

    Yue, Min; Han, Xiangan; Masi, Leon De; Zhu, Chunhong; Ma, Xun; Zhang, Junjie; Wu, Renwei; Schmieder, Robert; Kaushik, Radhey S.; Fraser, George P.; et al

    2015-10-30

    Understanding the molecular parameters that regulate cross-species transmission and host adaptation of potential pathogens is crucial to control emerging infectious disease. Although microbial pathotype diversity is conventionally associated with gene gain or loss, the role of pathoadaptive nonsynonymous single-nucleotide polymorphisms (nsSNPs) has not been systematically evaluated. Here, our genome-wide analysis of core genes within Salmonella enterica serovar Typhimurium genomes reveals a high degree of allelic variation in surface-exposed molecules, including adhesins that promote host colonization. Subsequent multinomial logistic regression, MultiPhen and Random Forest analyses of known/suspected adhesins from 580 independent Typhimurium isolates identifies distinct host-specific nsSNP signatures. Moreover, population andmore » functional analyses of host-associated nsSNPs for FimH, the type 1 fimbrial adhesin, highlights the role of key allelic residues in host-specific adherence in vitro. In conclusion, together, our data provide the first concrete evidence that functional differences between allelic variants of bacterial proteins likely contribute to pathoadaption to diverse hosts.« less

  7. Allelic variation contributes to bacterial host specificity

    PubMed Central

    Yue, Min; Han, Xiangan; Masi, Leon De; Zhu, Chunhong; Ma, Xun; Zhang, Junjie; Wu, Renwei; Schmieder, Robert; Kaushik, Radhey S.; Fraser, George P.; Zhao, Shaohua; McDermott, Patrick F.; Weill, François-Xavier; Mainil, Jacques G.; Arze, Cesar; Fricke, W. Florian; Edwards, Robert A.; Brisson, Dustin; Zhang, Nancy R.; Rankin, Shelley C.; Schifferli, Dieter M.

    2015-01-01

    Understanding the molecular parameters that regulate cross-species transmission and host adaptation of potential pathogens is crucial to control emerging infectious disease. Although microbial pathotype diversity is conventionally associated with gene gain or loss, the role of pathoadaptive nonsynonymous single-nucleotide polymorphisms (nsSNPs) has not been systematically evaluated. Here, our genome-wide analysis of core genes within Salmonella enterica serovar Typhimurium genomes reveals a high degree of allelic variation in surface-exposed molecules, including adhesins that promote host colonization. Subsequent multinomial logistic regression, MultiPhen and Random Forest analyses of known/suspected adhesins from 580 independent Typhimurium isolates identifies distinct host-specific nsSNP signatures. Moreover, population and functional analyses of host-associated nsSNPs for FimH, the type 1 fimbrial adhesin, highlights the role of key allelic residues in host-specific adherence in vitro. Together, our data provide the first concrete evidence that functional differences between allelic variants of bacterial proteins likely contribute to pathoadaption to diverse hosts. PMID:26515720

  8. [A Detection of Allelic Variants at Microsatellite Markers by Using Capillary and Traditional Electrophoresis].

    PubMed

    Rubtsova, G A; Ponomareva, E V; Afanasiev, K I; Shaikhaev, E G; Kholodova, M V; Pavlov, S D; Zhivotovsky, L A

    2016-04-01

    Microsatellite alleles are detected by PCR (polymerase chain reaction) that provides a manifold increase in the number of copies (amplification) of a given DNA fragment. The fragment visualization can be reached by two different methods. These are fragment analysis by capillary electrophoresis in denaturing gel and frag- ment separation in non-denaturing gel with subsequent gel staining. The first method is more accurate and automated, but expensive. The second method is much cheaper but less convenient. It requires manual pro- cessing and is presumably less accurate. In this study, we present the results of comparison of the allele typing at nine microsatellite loci using these two methods for one of the species of Pacific salmon, sockeye salmon Oncorhynchus nerka Walbaum. In most cases, both methods give identical fragment sizes or a constant differ- ence if the alleles are relatively small (not larger than 200-220 bp). PMID:27529983

  9. Discrimination Learning in Children

    ERIC Educational Resources Information Center

    Ochocki, Thomas E.; And Others

    1975-01-01

    Examined the learning performance of 192 fourth-, fifth-, and sixth-grade children on either a two or four choice simultaneous color discrimination task. Compared the use of verbal reinforcement and/or punishment, under conditions of either complete or incomplete instructions. (Author/SDH)

  10. Reversing Discrimination: A Perspective

    ERIC Educational Resources Information Center

    Pati, Gopal; Reilly, Charles W.

    1977-01-01

    Examines the debate over affirmative action and reverse discrimination, and discusses how and why the present dilemma has developed. Suggests that organizations can best address the problem through an honest, in-depth analysis of their organizational structure and management practices. (JG)

  11. Airborne Fraunhofer Line Discriminator

    NASA Technical Reports Server (NTRS)

    Gabriel, F. C.; Markle, D. A.

    1969-01-01

    Airborne Fraunhofer Line Discriminator enables prospecting for fluorescent materials, hydrography with fluorescent dyes, and plant studies based on fluorescence of chlorophyll. Optical unit design is the coincidence of Fraunhofer lines in the solar spectrum occurring at the characteristic wavelengths of some fluorescent materials.

  12. Sex Discrimination in Coaching.

    ERIC Educational Resources Information Center

    Dessem, Lawrence

    1980-01-01

    Even in situations in which the underpayment of girls' coaches is due to the sex of the students coached rather than to the sex of the coaches, the coaches and the girls coached are victims of unlawful discrimination. Available from Harvard Women's Law Journal, Harvard Law School, Cambridge, MA 02138. (Author/IRT)

  13. Education and Gender Discrimination

    ERIC Educational Resources Information Center

    Sumi, V. S.

    2012-01-01

    This paper discusses the status of women education in present education system and some measures to overcome the lags existing. Discrimination against girls and women in the developing world is a devastating reality. It results in millions of individual tragedies, which add up to lost potential for entire countries. Gender bias in education is an…

  14. Analytic boosted boson discrimination

    NASA Astrophysics Data System (ADS)

    Larkoski, Andrew J.; Moult, Ian; Neill, Duff

    2016-05-01

    Observables which discriminate boosted topologies from massive QCD jets are of great importance for the success of the jet substructure program at the Large Hadron Collider. Such observables, while both widely and successfully used, have been studied almost exclusively with Monte Carlo simulations. In this paper we present the first all-orders factorization theorem for a two-prong discriminant based on a jet shape variable, D 2, valid for both signal and background jets. Our factorization theorem simultaneously describes the production of both collinear and soft subjets, and we introduce a novel zero-bin procedure to correctly describe the transition region between these limits. By proving an all orders factorization theorem, we enable a systematically improvable description, and allow for precision comparisons between data, Monte Carlo, and first principles QCD calculations for jet substructure observables. Using our factorization theorem, we present numerical results for the discrimination of a boosted Z boson from massive QCD background jets. We compare our results with Monte Carlo predictions which allows for a detailed understanding of the extent to which these generators accurately describe the formation of two-prong QCD jets, and informs their usage in substructure analyses. Our calculation also provides considerable insight into the discrimination power and calculability of jet substructure observables in general.

  15. Discrimination and its Effects.

    ERIC Educational Resources Information Center

    Thomas, Clarence

    1983-01-01

    Reviews challenges facing Black professionals committed to further promoting civil rights. Focuses on the Federal government role, particularly regarding racial discrimination in employment. Warns against the acceptance of orthodoxies, and calls for new action and the exercising of intellectual freedom. (KH)

  16. Analytic boosted boson discrimination

    DOE PAGES

    Larkoski, Andrew J.; Moult, Ian; Neill, Duff

    2016-05-20

    Observables which discriminate boosted topologies from massive QCD jets are of great importance for the success of the jet substructure program at the Large Hadron Collider. Such observables, while both widely and successfully used, have been studied almost exclusively with Monte Carlo simulations. In this paper we present the first all-orders factorization theorem for a two-prong discriminant based on a jet shape variable, D2, valid for both signal and background jets. Our factorization theorem simultaneously describes the production of both collinear and soft subjets, and we introduce a novel zero-bin procedure to correctly describe the transition region between these limits.more » By proving an all orders factorization theorem, we enable a systematically improvable description, and allow for precision comparisons between data, Monte Carlo, and first principles QCD calculations for jet substructure observables. Using our factorization theorem, we present numerical results for the discrimination of a boosted Z boson from massive QCD background jets. We compare our results with Monte Carlo predictions which allows for a detailed understanding of the extent to which these generators accurately describe the formation of two-prong QCD jets, and informs their usage in substructure analyses. In conclusion, our calculation also provides considerable insight into the discrimination power and calculability of jet substructure observables in general.« less

  17. RISE TIME DELAY DISCRIMINATOR

    DOEpatents

    Johnstone, C.W.

    1959-09-29

    A pulse-height discriminator for generating an output pulse when the accepted input pulse is approximately at its maximum value is described. A gating tube and a negative bias generator responsive to the derivative of the input pulse and means for impressing the output of the bias generator to at least one control electrode of the gating tube are included.

  18. Digital frequency discriminator

    NASA Technical Reports Server (NTRS)

    Reid, W. J.

    1970-01-01

    Frequency discriminator has five integrated circuit chips interconnected to provide a divide function, exclusive OR function, phase shifting, and holding so that a single binary output signal results. The state of the binary signal indicates which one of the two input signals has a lower frequency than the other.

  19. Justice and Reverse Discrimination

    ERIC Educational Resources Information Center

    Strike, Kenneth A.

    1976-01-01

    Although this article does not necessarily recommend policies of reverse discrimination, arguments indicating that such policies are not contradictory to accepted concepts of justice are presented. The necessity of dispersing any consequent injury to society as a whole rather than to individuals is stressed. (RW)

  20. The impact of library preparation protocols on the consistency of allele frequency estimates in Pool-Seq data.

    PubMed

    Kofler, Robert; Nolte, Viola; Schlötterer, Christian

    2016-01-01

    Sequencing pools of individuals (Pool-Seq) is a cost-effective method to determine genome-wide allele frequency estimates. Given the importance of meta-analyses combining data sets, we determined the influence of different genomic library preparation protocols on the consistency of allele frequency estimates. We found that typically no more than 1% of the variation in allele frequency estimates could be attributed to differences in library preparation. Also read length had only a minor effect on the consistency of allele frequency estimates. By far, the most pronounced influence could be attributed to sequence coverage. Increasing the coverage from 30- to 50-fold improved the consistency of allele frequency estimates by at least 27%. We conclude that Pool-Seq data can be easily combined across different library preparation methods, but sufficient sequence coverage is key to reliable results.

  1. Spectrophotometric discrimination of river dissolved organic matter

    NASA Astrophysics Data System (ADS)

    Baker, Andy

    2002-11-01

    There is a need to be able to differentiate the dissolved organic matter (DOM) fraction in river waters. Research in the 1970s and 1980s has attempted to utilize both absorbance and fluorescence to distinguish between DOM fractions in river waters, but both were limited by the available technology. Total organic carbon content has, therefore, been widely used as a standard method of measuring DOM concentration, although it has little power to differentiate DOM fractions. Recent advances in fluorescence spectrophotometry enable rapid and optically precise analysis of DOM. Here, we show how a combination of both fluorescence and absorbance can be used to discriminate statistically between spatial variations of DOM in tributaries in a small catchment of the Ouseburn, NE England. The results of the discriminant analysis suggest that about 70% of the samples can be correctly classified to its tributary. Discriminant function 1 explains 60·8% of the variance in the data and the fulvic-like fluorescence intensity has the largest absolute correlation within this function; discriminant function 2 explains a further 21·5% of the variance and the fulvic-like fluorescence emission wavelength has the largest absolute correlation within this function. The discriminant analysis does not correctly classify all tributaries every time, and successfully discriminates between the different tributaries 70% of the time. Occasions when the tributary waters are less well discriminated are due to either episodic pollution events (at two sites) or due to tributaries that have strong seasonal trends in spectrophotometric parameters, which allows the sites to be misclassified. Results suggest that spectrophotometric techniques have considerable potential in the discrimination of DOM in rivers.

  2. Mutant maize variety containing the glt1-1 allele

    DOEpatents

    Nelson, Oliver E.; Pan, David

    1994-01-01

    A maize plant has in its genome a non-mutable form of a mutant allele designated vitX-8132. The allele is located at a locus designated as glt which conditions kernels having an altered starch characteristic. Maize plants including such a mutant allele produce a starch that does not increase in viscosity on cooling, after heating.

  3. Mutant maize variety containing the glt1-1 allele

    DOEpatents

    Nelson, O.E.; Pan, D.

    1994-07-19

    A maize plant has in its genome a non-mutable form of a mutant allele designated vitX-8132. The allele is located at a locus designated as glt which conditions kernels having an altered starch characteristic. Maize plants including such a mutant allele produce a starch that does not increase in viscosity on cooling, after heating. 2 figs.

  4. Increasing long term response by selecting for favorable minor alleles

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Long-term response of genomic selection can be improved by considering allele frequencies of selected markers or quantitative trait loci (QTLs). A previous formula to weight allele frequency of favorable minor alleles was tested, and 2 new formulas were developed. The previous formula used nonlinear...

  5. Discriminant Validity Investigation by Facet Analytic Approach.

    ERIC Educational Resources Information Center

    Darom, Efraim

    In an analysis of multitrait-multimethod matrices the criteria for discriminant validity are shown to include a "structure" criterion as an invariance of traits structure to methods. The criterion is meant to fit data to an additive model with traits and methods but not interaction terms. The importance of the structure criterion and the relative…

  6. Discrimination among Panax species using spectral fingerprinting

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Spectral fingerprints of samples of three Panax species (P. quinquefolius L., P. ginseng, and P. notoginseng) were acquired using UV, NIR, and MS spectrometry. With principal components analysis (PCA), all three methods allowed visual discrimination between all three species. All three methods wer...

  7. Combination of Eight Alleles at Four Quantitative Trait Loci Determines Grain Length in Rice.

    PubMed

    Zeng, Yuxiang; Ji, Zhijuan; Wen, Zhihua; Liang, Yan; Yang, Changdeng

    2016-01-01

    Grain length is an important quantitative trait in rice (Oryza sativa L.) that influences both grain yield and exterior quality. Although many quantitative trait loci (QTLs) for grain length have been identified, it is still unclear how different alleles from different QTLs regulate grain length coordinately. To explore the mechanisms of QTL combination in the determination of grain length, five mapping populations, including two F2 populations, an F3 population, an F7 recombinant inbred line (RIL) population, and an F8 RIL population, were developed from the cross between the U.S. tropical japonica variety 'Lemont' and the Chinese indica variety 'Yangdao 4' and grown under different environmental conditions. Four QTLs (qGL-3-1, qGL-3-2, qGL-4, and qGL-7) for grain length were detected using both composite interval mapping and multiple interval mapping methods in the mapping populations. In each locus, there was an allele from one parent that increased grain length and another allele from another parent that decreased it. The eight alleles in the four QTLs were analyzed to determine whether these alleles act additively across loci, and lead to a linear relationship between the predicted breeding value of QTLs and phenotype. Linear regression analysis suggested that the combination of eight alleles determined grain length. Plants carrying more grain length-increasing alleles had longer grain length than those carrying more grain length-decreasing alleles. This trend was consistent in all five mapping populations and demonstrated the regulation of grain length by the four QTLs. Thus, these QTLs are ideal resources for modifying grain length in rice.

  8. Gene Behavior Interaction of Depressive Symptoms and the Apolipoprotein E ε4 Allele on Cognitive Decline

    PubMed Central

    Rajan, Kumar B.; Wilson, Robert S.; Skarupski, Kimberly A.; de Leon, Carlos Mendes; Evans, Denis A.

    2014-01-01

    Objective Depressive symptoms and the APOE ε4 allele are independent risk factors for cognitive decline. However, it is not clear whether the presence of both depressive symptoms and the APOE ε4 allele increases cognitive decline. Methods A prospective study of a population-based sample of 4,150 (70% African American and 63% women) participants, aged 65 years and older, who were interviewed at 3-year intervals. Depressive symptoms were measured using the 10-item version of the Center for Epidemiologic Studies Depression scale, with each item coded as presence or absence of a symptom. The APOE genotype was ascertained by DNA samples collected during follow-up. Cognitive function was assessed at the initial and follow-up interviews (average follow-up of 9.2 years), using a standardized global cognitive score. Results There were 1405 (34%) participants with one or more copies of the APOE ε4 allele. In participants with no depressive symptoms, cognitive function decreased by 0.0412-unit per year among those with no copies and 0.0704-unit per year among those with one or more copies of the APOE ε4 allele. For each additional symptom of depression, cognitive decline increased by 0.0021-unit per year among those with no copies and 0.0051-unit per year among those with one or more copies of the APOE ε4 allele. The three-way interaction of depressive symptoms, APOE ε4 allele, and time was significant (p=0.021). Conclusions The association of depressive symptoms on cognitive decline was increased among participants with one or more copies of the APOE ε4 allele compared to those without the allele. PMID:24434953

  9. PCR Strategies for Complete Allele Calling in Multigene Families Using High-Throughput Sequencing Approaches.

    PubMed

    Marmesat, Elena; Soriano, Laura; Mazzoni, Camila J; Sommer, Simone; Godoy, José A

    2016-01-01

    The characterization of multigene families with high copy number variation is often approached through PCR amplification with highly degenerate primers to account for all expected variants flanking the region of interest. Such an approach often introduces PCR biases that result in an unbalanced representation of targets in high-throughput sequencing libraries that eventually results in incomplete detection of the targeted alleles. Here we confirm this result and propose two different amplification strategies to alleviate this problem. The first strategy (called pooled-PCRs) targets different subsets of alleles in multiple independent PCRs using different moderately degenerate primer pairs, whereas the second approach (called pooled-primers) uses a custom-made pool of non-degenerate primers in a single PCR. We compare their performance to the common use of a single PCR with highly degenerate primers using the MHC class I of the Iberian lynx as a model. We found both novel approaches to work similarly well and better than the conventional approach. They significantly scored more alleles per individual (11.33 ± 1.38 and 11.72 ± 0.89 vs 7.94 ± 1.95), yielded more complete allelic profiles (96.28 ± 8.46 and 99.50 ± 2.12 vs 63.76 ± 15.43), and revealed more alleles at a population level (13 vs 12). Finally, we could link each allele's amplification efficiency with the primer-mismatches in its flanking sequences and show that ultra-deep coverage offered by high-throughput technologies does not fully compensate for such biases, especially as real alleles may reach lower coverage than artefacts. Adopting either of the proposed amplification methods provides the opportunity to attain more complete allelic profiles at lower coverages, improving confidence over the downstream analyses and subsequent applications. PMID:27294261

  10. [RHD 1227A allele frequency among Rh negative population and random population].

    PubMed

    Wu, Jun-Jie; Hong, Xiao-Zhen; Xu, Xian-Guo; Ma, Kai-Rong; Zhu, Fa-Ming; Yan, Li-Xing

    2006-12-01

    To investigate the frequency of RHD 1227A allele in Rh negative population and random population, an AS-PCR (allele specific-polymerase chain reaction) method was employed to detect RHD 1227A allele. RHD gene copy was determined by D zygosity test and RHD exon 9 nucleotide sequence analysis. The results showed that among 143 Rh negative donors, forty-one RHD 1227A allele carriers were detected, and 8 (19.51%) out of which were RhCCdee, 32 (78.05%) were RhCcdee, and 1 (2.44%) was RhCcdEe. Thirty-five Rh negative RHD 1227A carriers had RHD gene deletion, and the remaining carriers were RHD 1227A homozygous. Seven (1.43%) individuals were detected with RHD 1227A allele among 489 random donors. They were all G/A heterozygous at RHD 1227 site. Serological test indicated that they were normal Rh positive phenotype. It is concluded that the frequency of RHD 1227A allele is 16.43% among Rh negative population and 0.72% among the random population.

  11. S-genotype identification based on allele-specific PCR in Japanese pear

    PubMed Central

    Nashima, Kenji; Terakami, Shingo; Nishio, Sogo; Kunihisa, Miyuki; Nishitani, Chikako; Saito, Toshihiro; Yamamoto, Toshiya

    2015-01-01

    Gametophytic self-incompatibility in Japanese pear (Pyrus pyrifolia Nakai) is controlled by the single, multi-allelic S-locus. Information about the S-genotypes is important for breeding and the selection of pollen donors for fruit production. Rapid and reliable S-genotype identification system is necessary for efficient breeding of new cultivars in Japanese pear. We designed S allele-specific PCR primer pairs for ten previously reported S-RNase alleles (S1–S9 and Sk) as simple and reliable method. Specific nucleotide sequences were chosen to design the primers to amplify fragments of only the corresponding S alleles. The developed primer pairs were evaluated by using homozygous S-genotypes (S1/S1–S9/S9 and S4sm/S4sm) and 14 major Japanese pear cultivars, and found that S allele-specific primer pairs can identify S-genotypes effectively. The S allele-specific primer pairs developed in this study will be useful for efficient S-genotyping and for marker-assisted selection in Japanese pear breeding programs. PMID:26175617

  12. Common HLA Alleles Associated with Health, but Not with Facial Attractiveness

    PubMed Central

    Coetzee, Vinet; Barrett, Louise; Greeff, Jaco M.; Henzi, S. Peter; Perrett, David I.; Wadee, Ahmed A.

    2007-01-01

    Three adaptive hypotheses have been proposed to explain the link between the human leucocyte antigen (HLA) genes, health measures and facial attractiveness: inbreeding avoidance, heterozygote advantage and frequency-dependent selection. This paper reports findings that support a new hypothesis relating HLA to health. We suggest a new method to quantify the level of heterozygosity. HLA heterozygosity did not significantly predict health measures in women, but allele frequency did. Women with more common HLA alleles reported fewer cold and flu bouts per year, fewer illnesses in the previous year and rated themselves healthier than women with rare alleles. To our knowledge, this is the first study to show a positive correlation between HLA allele frequency and general health measures. We propose that certain common HLA alleles confer resistance to prevalent pathogens. Nevertheless, neither HLA heterozygosity nor allele frequency significantly predicted how healthy or attractive men rated the female volunteers. Three non-mutually exclusive explanations are put forward to explain this finding. PMID:17653267

  13. Identification of the third/extra allele for forensic application in cases with TPOX tri-allelic pattern.

    PubMed

    Picanço, Juliane Bentes; Raimann, Paulo Eduardo; da Motta, Carlos Henrique Ares Silveira; Rodenbusch, Rodrigo; Gusmão, Leonor; Alho, Clarice Sampaio

    2015-05-01

    Genotyping of polymorphic short tandem repeats (STRs) loci is widely used in forensic DNA analysis. STR loci eventually present tri-allelic pattern as a genotyping irregularity and, in that situation, the doubt about the tri-allele locus frequency calculation can reduce the analysis strength. In the TPOX human STR locus, tri-allelic genotypes have been reported with a widely varied frequency among human populations. We investigate whether there is a single extra allele (the third allele) in the TPOX tri-allelic pattern, what it is, and where it is, aiming to understand its genomic anatomy and to propose the knowledge of this TPOX extra allele from genetic profile, thus preserving the two standard TPOX alleles in forensic analyses. We looked for TPOX tri-allelic subjects in 75,113 Brazilian families. Considering only the parental generation (mother+father) we had 150,226 unrelated subjects evaluated. From this total, we found 88 unrelated subjects with tri-allelic pattern in the TPOX locus (0.06%; 88/150,226). Seventy three of these 88 subjects (73/88; 83%) had the Clayton's original Type 2 tri-allelic pattern (three peaks of even intensity). The remaining 17% (15/88) show a new Type 2 derived category with heterozygote peak imbalance (one double dose peak plus one regular sized peak). In this paper we present detailed data from 66 trios (mother+father+child) with true biological relationships. In 39 of these families (39/66; 59%) the extra TPOX allele was transmitted either from the mother or from the father to the child. Evidences indicated the allele 10 as the extra TPOX allele, and it is on the X chromosome. The present data, which support the previous Lane hypothesis, improve the knowledge about tri-allelic pattern of TPOX CODIS' locus allowing the use of TPOX profile in forensic analyses even when with tri-allelic pattern. This evaluation is now available for different forensic applications.

  14. Update on allele nomenclature for human cytochromes P450 and the Human Cytochrome P450 Allele (CYP-allele) Nomenclature Database.

    PubMed

    Sim, Sarah C; Ingelman-Sundberg, Magnus

    2013-01-01

    Interindividual variability in xenobiotic metabolism and drug response is extensive and genetic factors play an important role in this variation. A majority of clinically used drugs are substrates for the cytochrome P450 (CYP) enzyme system and interindividual variability in expression and function of these enzymes is a major factor for explaining individual susceptibility for adverse drug reactions and drug response. Because of the existence of many polymorphic CYP genes, for many of which the number of allelic variants is continually increasing, a universal and official nomenclature system is important. Since 1999, all functionally relevant polymorphic CYP alleles are named and published on the Human Cytochrome P450 Allele (CYP-allele) Nomenclature Web site (http://www.cypalleles.ki.se). Currently, the database covers nomenclature of more than 660 alleles in a total of 30 genes that includes 29 CYPs as well as the cytochrome P450 oxidoreductase (POR) gene. On the CYP-allele Web site, each gene has its own Webpage, which lists the alleles with their nucleotide changes, their functional consequences, and links to publications identifying or characterizing the alleles. CYP2D6, CYP2C9, CYP2C19, and CYP3A4 are the most important CYPs in terms of drug metabolism, which is also reflected in their corresponding highest number of Webpage hits at the CYP-allele Web site.The main advantage of the CYP-allele database is that it offers a rapid online publication of CYP-alleles and their effects and provides an overview of peer-reviewed data to the scientific community. Here, we provide an update of the CYP-allele database and the associated nomenclature.

  15. The Case for Positive Discrimination

    ERIC Educational Resources Information Center

    Miller, S. M.

    1973-01-01

    Discusses both three basic strategies, preferences, allocational priorities, and incentives--and four principles of positive discrimination--compensation and rectification, appropriate meritocratic criteria, the development of the discriminated, and fairness. (JM)

  16. Stimulus Structure, Discrimination, and Interference

    ERIC Educational Resources Information Center

    Runquist, Willard N.

    1975-01-01

    The general purpose of this experiment was to determine whether differences in stimulus discrimination, as determined by the MIR (missing-item recognition) test, are correlated with interference in recall, as demanded by the discriminative coding hypothesis. (Author/RK)

  17. Genetic discrimination in the workplace.

    PubMed

    Miller, P S

    1998-01-01

    Author argues that the Americans with Disabilities Act prohibits discrimination against workers based on their genetic makeup. He also examines state legislation and recently proposed federal legislation prohibiting genetic discrimination.

  18. Inferring the age of a fixed beneficial allele.

    PubMed

    Ormond, Louise; Foll, Matthieu; Ewing, Gregory B; Pfeifer, Susanne P; Jensen, Jeffrey D

    2016-01-01

    Estimating the age and strength of beneficial alleles is central to understanding how adaptation proceeds in response to changing environmental conditions. Several haplotype-based estimators exist for inferring the age of segregating beneficial mutations. Here, we develop an approximate Bayesian-based approach that rather estimates these parameters for fixed beneficial mutations in single populations. We integrate a range of existing diversity, site frequency spectrum, haplotype- and linkage disequilibrium-based summary statistics. We show that for strong selective sweeps on de novo mutations the method can estimate allele age and selection strength even in nonequilibrium demographic scenarios. We extend our approach to models of selection on standing variation, and co-infer the frequency at which selection began to act upon the mutation. Finally, we apply our method to estimate the age and selection strength of a previously identified mutation underpinning cryptic colour adaptation in a wild deer mouse population, and compare our findings with previously published estimates as well as with geological data pertaining to the presumed shift in selective pressure. PMID:26576754

  19. Borrowed alleles and convergence in serpentine adaptation.

    PubMed

    Arnold, Brian J; Lahner, Brett; DaCosta, Jeffrey M; Weisman, Caroline M; Hollister, Jesse D; Salt, David E; Bomblies, Kirsten; Yant, Levi

    2016-07-19

    Serpentine barrens represent extreme hazards for plant colonists. These sites are characterized by high porosity leading to drought, lack of essential mineral nutrients, and phytotoxic levels of metals. Nevertheless, nature forged populations adapted to these challenges. Here, we use a population-based evolutionary genomic approach coupled with elemental profiling to assess how autotetraploid Arabidopsis arenosa adapted to a multichallenge serpentine habitat in the Austrian Alps. We first demonstrate that serpentine-adapted plants exhibit dramatically altered elemental accumulation levels in common conditions, and then resequence 24 autotetraploid individuals from three populations to perform a genome scan. We find evidence for highly localized selective sweeps that point to a polygenic, multitrait basis for serpentine adaptation. Comparing our results to a previous study of independent serpentine colonizations in the closely related diploid Arabidopsis lyrata in the United Kingdom and United States, we find the highest levels of differentiation in 11 of the same loci, providing candidate alleles for mediating convergent evolution. This overlap between independent colonizations in different species suggests that a limited number of evolutionary strategies are suited to overcome the multiple challenges of serpentine adaptation. Interestingly, we detect footprints of selection in A. arenosa in the context of substantial gene flow from nearby off-serpentine populations of A. arenosa, as well as from A. lyrata In several cases, quantitative tests of introgression indicate that some alleles exhibiting strong selective sweep signatures appear to have been introgressed from A. lyrata This finding suggests that migrant alleles may have facilitated adaptation of A. arenosa to this multihazard environment. PMID:27357660

  20. Borrowed alleles and convergence in serpentine adaptation

    PubMed Central

    Arnold, Brian J.; Lahner, Brett; DaCosta, Jeffrey M.; Weisman, Caroline M.; Hollister, Jesse D.; Salt, David E.; Bomblies, Kirsten; Yant, Levi

    2016-01-01

    Serpentine barrens represent extreme hazards for plant colonists. These sites are characterized by high porosity leading to drought, lack of essential mineral nutrients, and phytotoxic levels of metals. Nevertheless, nature forged populations adapted to these challenges. Here, we use a population-based evolutionary genomic approach coupled with elemental profiling to assess how autotetraploid Arabidopsis arenosa adapted to a multichallenge serpentine habitat in the Austrian Alps. We first demonstrate that serpentine-adapted plants exhibit dramatically altered elemental accumulation levels in common conditions, and then resequence 24 autotetraploid individuals from three populations to perform a genome scan. We find evidence for highly localized selective sweeps that point to a polygenic, multitrait basis for serpentine adaptation. Comparing our results to a previous study of independent serpentine colonizations in the closely related diploid Arabidopsis lyrata in the United Kingdom and United States, we find the highest levels of differentiation in 11 of the same loci, providing candidate alleles for mediating convergent evolution. This overlap between independent colonizations in different species suggests that a limited number of evolutionary strategies are suited to overcome the multiple challenges of serpentine adaptation. Interestingly, we detect footprints of selection in A. arenosa in the context of substantial gene flow from nearby off-serpentine populations of A. arenosa, as well as from A. lyrata. In several cases, quantitative tests of introgression indicate that some alleles exhibiting strong selective sweep signatures appear to have been introgressed from A. lyrata. This finding suggests that migrant alleles may have facilitated adaptation of A. arenosa to this multihazard environment. PMID:27357660

  1. Borrowed alleles and convergence in serpentine adaptation.

    PubMed

    Arnold, Brian J; Lahner, Brett; DaCosta, Jeffrey M; Weisman, Caroline M; Hollister, Jesse D; Salt, David E; Bomblies, Kirsten; Yant, Levi

    2016-07-19

    Serpentine barrens represent extreme hazards for plant colonists. These sites are characterized by high porosity leading to drought, lack of essential mineral nutrients, and phytotoxic levels of metals. Nevertheless, nature forged populations adapted to these challenges. Here, we use a population-based evolutionary genomic approach coupled with elemental profiling to assess how autotetraploid Arabidopsis arenosa adapted to a multichallenge serpentine habitat in the Austrian Alps. We first demonstrate that serpentine-adapted plants exhibit dramatically altered elemental accumulation levels in common conditions, and then resequence 24 autotetraploid individuals from three populations to perform a genome scan. We find evidence for highly localized selective sweeps that point to a polygenic, multitrait basis for serpentine adaptation. Comparing our results to a previous study of independent serpentine colonizations in the closely related diploid Arabidopsis lyrata in the United Kingdom and United States, we find the highest levels of differentiation in 11 of the same loci, providing candidate alleles for mediating convergent evolution. This overlap between independent colonizations in different species suggests that a limited number of evolutionary strategies are suited to overcome the multiple challenges of serpentine adaptation. Interestingly, we detect footprints of selection in A. arenosa in the context of substantial gene flow from nearby off-serpentine populations of A. arenosa, as well as from A. lyrata In several cases, quantitative tests of introgression indicate that some alleles exhibiting strong selective sweep signatures appear to have been introgressed from A. lyrata This finding suggests that migrant alleles may have facilitated adaptation of A. arenosa to this multihazard environment.

  2. Biased gene conversion skews allele frequencies in human populations, increasing the disease burden of recessive alleles.

    PubMed

    Lachance, Joseph; Tishkoff, Sarah A

    2014-10-01

    Gene conversion results in the nonreciprocal transfer of genetic information between two recombining sequences, and there is evidence that this process is biased toward G and C alleles. However, the strength of GC-biased gene conversion (gBGC) in human populations and its effects on hereditary disease have yet to be assessed on a genomic scale. Using high-coverage whole-genome sequences of African hunter-gatherers, agricultural populations, and primate outgroups, we quantified the effects of GC-biased gene conversion on population genomic data sets. We find that genetic distances (FST and population branch statistics) are modified by gBGC. In addition, the site frequency spectrum is left-shifted when ancestral alleles are favored by gBGC and right-shifted when derived alleles are favored by gBGC. Allele frequency shifts due to gBGC mimic the effects of natural selection. As expected, these effects are strongest in high-recombination regions of the human genome. By comparing the relative rates of fixation of unbiased and biased sites, the strength of gene conversion was estimated to be on the order of Nb ≈ 0.05 to 0.09. We also find that derived alleles favored by gBGC are much more likely to be homozygous than derived alleles at unbiased SNPs (+42.2% to 62.8%). This results in a curse of the converted, whereby gBGC causes substantial increases in hereditary disease risks. Taken together, our findings reveal that GC-biased gene conversion has important population genetic and public health implications.

  3. Characterizing allelic association in the genome era

    PubMed Central

    WEIR, B. S.; LAURIE, C. C.

    2015-01-01

    Summary Whole genome data are allowing the estimation of population genetic parameters with an accuracy not imagined 50 years ago. Variation in these parameters along the genome is being found empirically where once only approximate theoretical values were available. Along with increased information, however, has come the issue of multiple testing and the realization that high values of the coefficients of variation of quantities such as relatedness measures may make it difficult to draw inferences. This review concentrates on measures of allelic association within and between individuals and within and between populations. PMID:21429275

  4. Uncommon HLA alleles identified by hemizygous ultra-high Sanger sequencing: haplotype associations and reconsideration of their assignment in the Common and Well-Documented catalogue.

    PubMed

    Voorter, Christina E M; Groeneweg, Mathijs; Groeneveld, Lisette; Tilanus, Marcel G J

    2016-02-01

    Although the number of HLA alleles still increases, many of them have been reported being uncommon. This is partly due to lack of full length gene sequencing, especially for those alleles belonging to an allele ambiguity in which the first discovered allele has been assigned as the most frequent one. As members of the working group on Common and Well Documented (CWD) alleles and since we implemented full length group-specific sequencing as standard method routinely, we have investigated the presence of presumably rare alleles in our collection of HLA typing data. We identified 50 alleles, that were not previously encountered as Common or Well Documented. Sixteen of them should be added to the CWD catalogue, since we encountered them in 5 or more unrelated individuals. Another 11 could be added, based upon our results and the data present in the IMGT database and the rare allele section of the allele frequencies database. Furthermore, tight associations were observed between several different alleles even at the level of synonymous and non-coding sequences. In addition, in several cases the uncommon allele was found to be more frequent than its common counterpart.

  5. Price Discrimination: A Classroom Experiment

    ERIC Educational Resources Information Center

    Aguiló, Paula; Sard, Maria; Tugores, Maria

    2016-01-01

    In this article, the authors describe a classroom experiment aimed at familiarizing students with different types of price discrimination (first-, second-, and third-degree price discrimination). During the experiment, the students were asked to decide what tariffs to set as monopolists for each of the price discrimination scenarios under…

  6. Affirmative Action, or Reverse Discrimination?

    ERIC Educational Resources Information Center

    Dansby, Ike

    1996-01-01

    Determines the impact of affirmative action programs in response to charges that they are policies of reverse discrimination. Reviewing affirmative action programs submitted by Michigan State departments, researchers determined no reverse discrimination was apparent based on low numbers of reverse discrimination complaints filed by whites. (GR)

  7. Nativity, Gender, and Earnings Discrimination.

    ERIC Educational Resources Information Center

    Torres, Andres

    1992-01-01

    Studied the estimated cost of labor market discrimination faced by Puerto Ricans in the United States. Results indicated that (1) Puerto Rican females are equally affected by discrimination, regardless of nativity; and (2) the cost of discrimination is less for males, and men born in Puerto Rico are more affected than U.S.-born Puerto Rican males.…

  8. Transgender Discrimination and the Law

    ERIC Educational Resources Information Center

    Trotter, Richard

    2010-01-01

    An emerging area of law is developing regarding sex/gender identity discrimination, also referred to as transgender discrimination, as distinguished from discrimination based on sexual orientation. A transgendered individual is defined as "a person who has a gender-identity disorder which is a persistent discomfort about one?s assigned sex or…

  9. Quotas Are Not Reverse Discrimination

    ERIC Educational Resources Information Center

    McDonald, Gabrielle K.

    1975-01-01

    The findings of the Morrow v. Crisler and NAACP v. Allen civil rights cases are discussed. It is concluded from these employment discrimination cases that quotas are not reverse discrimination because no one has the right to continue to receive the benefits of racial discrimination at the expense of others. (LBH)

  10. Berkeley UXO Discriminator (BUD)

    SciTech Connect

    Gasperikova, Erika; Smith, J. Torquil; Morrison, H. Frank; Becker, Alex

    2007-01-01

    The Berkeley UXO Discriminator (BUD) is an optimally designed active electromagnetic system that not only detects but also characterizes UXO. The system incorporates three orthogonal transmitters and eight pairs of differenced receivers. it has two modes of operation: (1) search mode, in which BUD moves along a profile and exclusively detects targets in its vicinity, providing target depth and horizontal location, and (2) discrimination mode, in which BUD, stationary above a target, from a single position, determines three discriminating polarizability responses together with the object location and orientation. The performance of the system is governed by a target size-depth curve. Maximum detection depth is 1.5 m. While UXO objects have a single major polarizability coincident with the long axis of the object and two equal transverse polarizabilities, scrap metal has three different principal polarizabilities. The results clearly show that there are very clear distinctions between symmetric intact UXO and irregular scrap metal, and that BUD can resolve the intrinsic polarizabilities of the target. The field survey at the Yuma Proving Ground in Arizona showed excellent results within the predicted size-depth range.

  11. [Comment on] Statistical discrimination

    NASA Astrophysics Data System (ADS)

    Chinn, Douglas

    In the December 8, 1981, issue of Eos, a news item reported the conclusion of a National Research Council study that sexual discrimination against women with Ph.D.'s exists in the field of geophysics. Basically, the item reported that even when allowances are made for motherhood the percentage of female Ph.D.'s holding high university and corporate positions is significantly lower than the percentage of male Ph.D.'s holding the same types of positions. The sexual discrimination conclusion, based only on these statistics, assumes that there are no basic psychological differences between men and women that might cause different populations in the employment group studied. Therefore, the reasoning goes, after taking into account possible effects from differences related to anatomy, such as women stopping their careers in order to bear and raise children, the statistical distributions of positions held by male and female Ph.D.'s ought to be very similar to one another. Any significant differences between the distributions must be caused primarily by sexual discrimination.

  12. Allele-specific copy-number discovery from whole-genome and whole-exome sequencing.

    PubMed

    Wang, WeiBo; Wang, Wei; Sun, Wei; Crowley, James J; Szatkiewicz, Jin P

    2015-08-18

    Copy-number variants (CNVs) are a major form of genetic variation and a risk factor for various human diseases, so it is crucial to accurately detect and characterize them. It is conceivable that allele-specific reads from high-throughput sequencing data could be leveraged to both enhance CNV detection and produce allele-specific copy number (ASCN) calls. Although statistical methods have been developed to detect CNVs using whole-genome sequence (WGS) and/or whole-exome sequence (WES) data, information from allele-specific read counts has not yet been adequately exploited. In this paper, we develop an integrated method, called AS-GENSENG, which incorporates allele-specific read counts in CNV detection and estimates ASCN using either WGS or WES data. To evaluate the performance of AS-GENSENG, we conducted extensive simulations, generated empirical data using existing WGS and WES data sets and validated predicted CNVs using an independent methodology. We conclude that AS-GENSENG not only predicts accurate ASCN calls but also improves the accuracy of total copy number calls, owing to its unique ability to exploit information from both total and allele-specific read counts while accounting for various experimental biases in sequence data. Our novel, user-friendly and computationally efficient method and a complete analytic protocol is freely available at https://sourceforge.net/projects/asgenseng/. PMID:25883151

  13. ADZE: a rarefaction approach for counting alleles private to combinations of populations

    PubMed Central

    Szpiech, Zachary A.; Jakobsson, Mattias; Rosenberg, Noah A.

    2008-01-01

    Motivation: Analysis of the distribution of alleles across populations is a useful tool for examining population diversity and relationships. However, sample sizes often differ across populations, sometimes making it difficult to assess allelic distributions across groups. Results: We introduce a generalized rarefaction approach for counting alleles private to combinations of populations. Our method evaluates the number of alleles found in each of a set of populations but absent in all remaining populations, considering equal-sized subsamples from each population. Applying this method to a worldwide human microsatellite dataset, we observe a high number of alleles private to the combination of African and Oceanian populations. This result supports the possibility of a migration out of Africa into Oceania separate from the migrations responsible for the majority of the ancestry of the modern populations of Asia, and it highlights the utility of our approach to sample size correction in evaluating hypotheses about population history. Availability: We have implemented our method in the computer pro-gram ADZE, which is available for download at http://rosenberglab.bioinformatics.med.umich.edu/adze.html. Contact: szpiechz@umich.edu PMID:18779233

  14. Allele-Specific Quantitative PCR for Accurate, Rapid, and Cost-Effective Genotyping.

    PubMed

    Lee, Han B; Schwab, Tanya L; Koleilat, Alaa; Ata, Hirotaka; Daby, Camden L; Cervera, Roberto Lopez; McNulty, Melissa S; Bostwick, Hannah S; Clark, Karl J

    2016-06-01

    Customizable endonucleases such as transcription activator-like effector nucleases (TALENs) and clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) enable rapid generation of mutant strains at genomic loci of interest in animal models and cell lines. With the accelerated pace of generating mutant alleles, genotyping has become a rate-limiting step to understanding the effects of genetic perturbation. Unless mutated alleles result in distinct morphological phenotypes, mutant strains need to be genotyped using standard methods in molecular biology. Classic restriction fragment length polymorphism (RFLP) or sequencing is labor-intensive and expensive. Although simpler than RFLP, current versions of allele-specific PCR may still require post-polymerase chain reaction (PCR) handling such as sequencing, or they are more expensive if allele-specific fluorescent probes are used. Commercial genotyping solutions can take weeks from assay design to result, and are often more expensive than assembling reactions in-house. Key components of commercial assay systems are often proprietary, which limits further customization. Therefore, we developed a one-step open-source genotyping method based on quantitative PCR. The allele-specific qPCR (ASQ) does not require post-PCR processing and can genotype germline mutants through either threshold cycle (Ct) or end-point fluorescence reading. ASQ utilizes allele-specific primers, a locus-specific reverse primer, universal fluorescent probes and quenchers, and hot start DNA polymerase. Individual laboratories can further optimize this open-source system as we completely disclose the sequences, reagents, and thermal cycling protocol. We have tested the ASQ protocol to genotype alleles in five different genes. ASQ showed a 98-100% concordance in genotype scoring with RFLP or Sanger sequencing outcomes. ASQ is time-saving because a single qPCR without post-PCR handling suffices to score

  15. Allele-Specific Quantitative PCR for Accurate, Rapid, and Cost-Effective Genotyping.

    PubMed

    Lee, Han B; Schwab, Tanya L; Koleilat, Alaa; Ata, Hirotaka; Daby, Camden L; Cervera, Roberto Lopez; McNulty, Melissa S; Bostwick, Hannah S; Clark, Karl J

    2016-06-01

    Customizable endonucleases such as transcription activator-like effector nucleases (TALENs) and clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) enable rapid generation of mutant strains at genomic loci of interest in animal models and cell lines. With the accelerated pace of generating mutant alleles, genotyping has become a rate-limiting step to understanding the effects of genetic perturbation. Unless mutated alleles result in distinct morphological phenotypes, mutant strains need to be genotyped using standard methods in molecular biology. Classic restriction fragment length polymorphism (RFLP) or sequencing is labor-intensive and expensive. Although simpler than RFLP, current versions of allele-specific PCR may still require post-polymerase chain reaction (PCR) handling such as sequencing, or they are more expensive if allele-specific fluorescent probes are used. Commercial genotyping solutions can take weeks from assay design to result, and are often more expensive than assembling reactions in-house. Key components of commercial assay systems are often proprietary, which limits further customization. Therefore, we developed a one-step open-source genotyping method based on quantitative PCR. The allele-specific qPCR (ASQ) does not require post-PCR processing and can genotype germline mutants through either threshold cycle (Ct) or end-point fluorescence reading. ASQ utilizes allele-specific primers, a locus-specific reverse primer, universal fluorescent probes and quenchers, and hot start DNA polymerase. Individual laboratories can further optimize this open-source system as we completely disclose the sequences, reagents, and thermal cycling protocol. We have tested the ASQ protocol to genotype alleles in five different genes. ASQ showed a 98-100% concordance in genotype scoring with RFLP or Sanger sequencing outcomes. ASQ is time-saving because a single qPCR without post-PCR handling suffices to score

  16. Allele-Specific Quantitative PCR for Accurate, Rapid, and Cost-Effective Genotyping

    PubMed Central

    Lee, Han B.; Schwab, Tanya L.; Koleilat, Alaa; Ata, Hirotaka; Daby, Camden L.; Cervera, Roberto Lopez; McNulty, Melissa S.; Bostwick, Hannah S.; Clark, Karl J.

    2016-01-01

    Customizable endonucleases such as transcription activator-like effector nucleases (TALENs) and clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) enable rapid generation of mutant strains at genomic loci of interest in animal models and cell lines. With the accelerated pace of generating mutant alleles, genotyping has become a rate-limiting step to understanding the effects of genetic perturbation. Unless mutated alleles result in distinct morphological phenotypes, mutant strains need to be genotyped using standard methods in molecular biology. Classic restriction fragment length polymorphism (RFLP) or sequencing is labor-intensive and expensive. Although simpler than RFLP, current versions of allele-specific PCR may still require post-polymerase chain reaction (PCR) handling such as sequencing, or they are more expensive if allele-specific fluorescent probes are used. Commercial genotyping solutions can take weeks from assay design to result, and are often more expensive than assembling reactions in-house. Key components of commercial assay systems are often proprietary, which limits further customization. Therefore, we developed a one-step open-source genotyping method based on quantitative PCR. The allele-specific qPCR (ASQ) does not require post-PCR processing and can genotype germline mutants through either threshold cycle (Ct) or end-point fluorescence reading. ASQ utilizes allele-specific primers, a locus-specific reverse primer, universal fluorescent probes and quenchers, and hot start DNA polymerase. Individual laboratories can further optimize this open-source system as we completely disclose the sequences, reagents, and thermal cycling protocol. We have tested the ASQ protocol to genotype alleles in five different genes. ASQ showed a 98–100% concordance in genotype scoring with RFLP or Sanger sequencing outcomes. ASQ is time-saving because a single qPCR without post-PCR handling suffices to score

  17. Forensic Spanish allele and haplotype database for a 17 X-STR panel.

    PubMed

    Prieto-Fernández, Endika; Núñez, Carolina; Baeta, Miriam; Jiménez-Moreno, Susana; Martínez-Jarreta, Begoña; de Pancorbo, Marian M

    2016-09-01

    The currently developed 17 X-STR panel (DXS8378, DXS9898, DXS7133, GATA31E08, GATA172D05, DXS6801, DXS7423, DXS6809, DXS6799, DXS7132, DXS9902, DXS6800, DXS6789, DXS10075, DXS10079, DXS6807, and DXS6803) offers a highly discriminative tool for forensic identification and kinship testing. With the aim of providing a global Spanish population X-STR database, we present haplotype and allele frequencies and parameters of forensic interest for the 17 X-STR panel obtained from 593 unrelated individuals from Alicante, Aragon, the Basque Country, Andalusia, Galicia, Madrid, and Barcelona that represent the most populated regions of the Spanish Peninsular territory. The seven populations were compared to test possible population genetic substructures. The lack of significant differences among the studied Spanish populations supports the use of the allele and haplotype frequency database presented herein as a global Spanish population sample useful for statistical evaluation in forensic casework. After conducting the LD plots derived from HapMap and pairwise linkage disequilibrium tests, DXS7132, DXS10075, and DXS10079 markers were included in a cluster and haplotype frequencies were calculated. The improvement in the forensic parameters for the Spanish population using 17 X-STRs in comparison to the previous 10 X-STR allele frequencies database is also shown. PMID:27388427

  18. Assessment of allele-specific gene silencing by RNA interference with mutant and wild-type reporter alleles.

    PubMed

    Ohnishi, Yusuke; Tokunaga, Katsushi; Kaneko, Kiyotoshi; Hohjoh, Hirohiko

    2006-02-28

    Allele-specific gene silencing by RNA interference (RNAi) is therapeutically useful for specifically suppressing the expression of alleles associated with disease. To realize such allele-specific RNAi (ASPRNAi), the design and assessment of small interfering RNA (siRNA) duplexes conferring ASP-RNAi is vital, but is also difficult. Here, we show ASP-RNAi against the Swedish- and London-type amyloid precursor protein (APP) variants related to familial Alzheimer's disease using two reporter alleles encoding the Photinus and Renilla luciferase genes and carrying mutant and wild-type allelic sequences in their 3'-untranslated regions. We examined the effects of siRNA duplexes against the mutant alleles in allele-specific gene silencing and off-target silencing against the wild-type allele under heterozygous conditions, which were generated by cotransfecting the reporter alleles and siRNA duplexes into cultured human cells. Consistently, the siRNA duplexes determined to confer ASP-RNAi also inhibited the expression of the bona fide mutant APP and the production of either amyloid beta 40- or 42-peptide in Cos-7 cells expressing both the full-length Swedish- and wild-type APP alleles. The present data suggest that the system with reporter alleles may permit the preclinical assessment of siRNA duplexes conferring ASP-RNAi, and thus contribute to the design and selection of the most suitable of such siRNA duplexes.

  19. Microarrays for high-throughput genotyping of MICA alleles using allele-specific primer extension.

    PubMed

    Baek, I C; Jang, J-P; Choi, H-B; Choi, E-J; Ko, W-Y; Kim, T-G

    2013-10-01

    The role of major histocompatibility complex (MHC) class I chain-related gene A (MICA), a ligand of NKG2D, has been defined in human diseases by its allele associations with various autoimmune diseases, hematopoietic stem cell transplantation (HSCT) and cancer. This study describes a practical system to develop MICA genotyping by allele-specific primer extension (ASPE) on microarrays. From the results of 20 control primers, strict and reliable cut-off values of more than 30,000 mean fluorescence intensity (MFI) as positive and less than 3000 MFI as negative, were applied to select high-quality specific extension primers. Among 55 allele-specific primers, 44 primers could be initially selected as optimal primer. Through adjusting the length, six primers were improved. The other failed five primers were corrected by refractory modification. MICA genotypes by ASPE on microarrays showed the same results as those by nucleotide sequencing. On the basis of these results, ASPE on microarrays may provide high-throughput genotyping for MICA alleles for population studies, disease-gene associations and HSCT.

  20. Allelic disequilibrium and allele frequency distribution as a function of social and demographic history.

    PubMed Central

    Thompson, E A; Neel, J V

    1997-01-01

    Allelic disequilibrium between closely linked genes is a common observation in human populations and often gives rise to speculation concerning the role of selective forces. In a previous treatment, we have developed a population model of the expected distribution of rare variants (including private polymorphisms) in Amerindians and have argued that, because of the great expansion of Amerindian numbers with the advent of agriculture, most of these rare variants are of relatively recent origin. Many other populations have similar histories of striking recent expansions. In this treatment, we demonstrate that, in consequence of this fact, a high degree of linkage disequilibrium between two nonhomologous alleles <0.5 cM apart is the "normal" expectation, even in the absence of selection. This expectation is enhanced by the previous subdivision of human populations into relatively isolated tribes characterized by a high level of endogamy and inbreeding. We also demonstrate that the alleles associated with a recessive disease phenotype are expected to exist in a population in very variable frequencies: there is no need to postulate positive selection with respect to the more common disease-associated alleles for such entities as phenylketonuria or cystic fibrosis. PMID:8981963

  1. DQB1*06:02 allele specific expression varies by allelic dosage, not narcolepsy status

    PubMed Central

    lachmi, Karin Weiner; Lin, Ling; Kornum, Birgitte Rahbek; Rico, Tom; Lo, Betty; Aran, Adi; Mignot, Emmanuel

    2012-01-01

    The association of narcolepsy-cataplexy, a sleep disorder caused by the loss of hypocretin/orexin neurons in the hypothalamus, with DQA1*01:02-DQB1*06:02 is one of the tightest known single allele HLA associations. In this study, we explored genome wide expression in peripheral white blood cells of 50 narcolepsy versus 47 controls (half of whom were DQB1*06:02 positive) and found the largest differences between the groups to be in the signal from HLA probes. Further studies of HLA-DQ expression (mRNA and protein in a subset) in 125 controls and 147 narcolepsy cases did not reveal any difference, a result we explain by the lack of proper control of allelic diversity in Affymetrix HLA probes. Rather, a clear effect of DQB1*06:02 allelic dosage on DQB1*06:02 mRNA levels (1.65 fold) and protein (1.59 fold) could be demonstrated independent of the disease status. These results indicate that allelic dosage is transmitted into changes in heterodimer availability, a phenomenon that may explain increased risk for narcolepsy in DQB1*06:02 homozygotes versus heterozygotes. PMID:22326585

  2. DQB1*06:02 allele-specific expression varies by allelic dosage, not narcolepsy status.

    PubMed

    Weiner Lachmi, Karin; Lin, Ling; Kornum, Birgitte Rahbek; Rico, Tom; Lo, Betty; Aran, Adi; Mignot, Emmanuel

    2012-04-01

    The association of narcolepsy-cataplexy, a sleep disorder caused by the loss of hypocretin/orexin neurons in the hypothalamus, with DQA1*01:02-DQB1*06:02 is one of the tightest known single-allele human leukocyte antigen (HLA) associations. In this study, we explored genome-wide expression in peripheral white blood cells of 50 narcolepsy versus 47 controls (half of whom were DQB1*06:02 positive) and observed the largest differences between the groups in the signal from HLA probes. Further studies of HLA-DQ expression (mRNA and protein in a subset) in 125 controls and 147 narcolepsy cases did not reveal any difference, a result we explain by the lack of proper control of allelic diversity in Affymetrix HLA probes. Rather, a clear effect of DQB1*06:02 allelic dosage on DQB1*06:02 mRNA levels (1.65-fold) and protein (1.59-fold) could be demonstrated independent of disease status. These results indicate that allelic dosage is transmitted into changes in heterodimer availability, a phenomenon that may explain the increased risk for narcolepsy in DQB1*06:02 homozygotes versus heterozygotes.

  3. Association of MICA and MICB alleles with symptomatic dengue infection.

    PubMed

    García, Gissel; del Puerto, Florencia; Pérez, Ana B; Sierra, Beatriz; Aguirre, Eglys; Kikuchi, Mihoko; Sánchez, Lizet; Hirayama, Kenji; Guzmán, María G

    2011-10-01

    Dengue viruses (DV) are one of the most important arthropod-borne viral diseases in the developing world. DV can cause syndromes that are either self-limiting or severe. Allelic variants of human leukocyte antigen (HLA) genes have been demonstrated to be associated with disease susceptibility. Here we report the association of nonclassical HLA class I MICA-MICB genes with disease outcome during DV infection. A sequencing-based typing method and genotyping of MICA and MICB in a well-characterized group of Cuban individuals with dengue hemorrhagic fever (DHF), dengue fever (DF), or asymptomatic dengue infection (ADI) was performed. Statistical analysis revealed a tendency for MICA*008 and MICB*008 to associate with susceptibility to illness when symptomatic versus asymptomatic cases (odds ratio [OR] = 2.1, p(v) = 0.03, and OR = 10.4, p = 0.0096, respectively) were compared. Surprisingly, a stronger association of both allelic forms was observed for the DF patients compared with the ADI group (MICA*008, OR = 5.2, p = 0.0001; and MICB*008, OR = 13.2, p = 0.0025) rather than the severe cases. Major histocompatibility class I-related gene-related natural killer cells and/or γδ and αβ T-cell activation might regulate the development of symptomatic DF and DHF.

  4. Testing Hardy-Weinberg equilibrium on allelic data from VNTR loci

    SciTech Connect

    Geisser, S. ); Johnson, W. )

    1992-11-01

    Several methods for testing independence of pairs of alleles in a population that are obtained from a VNTR locus are presented. The authors assume an exchangeable quasi-continuous distribution of the fragment lengths used to measure the allelic pairs. Bivariate-estimated quantiles computed from the quantiles of the entire data set are then utilized for testing independence. These methods have the advantage of being minimally susceptible to the criticism of (a) the inability of a technology to measure to a few small-sized or rather large-sized fragments and (b) inadequate estimation of the homozygotic proportion. 6 refs., 3 tabs.

  5. Multi-View Discriminant Analysis.

    PubMed

    Kan, Meina; Shan, Shiguang; Zhang, Haihong; Lao, Shihong; Chen, Xilin

    2016-01-01

    In many computer vision systems, the same object can be observed at varying viewpoints or even by different sensors, which brings in the challenging demand for recognizing objects from distinct even heterogeneous views. In this work we propose a Multi-view Discriminant Analysis (MvDA) approach, which seeks for a single discriminant common space for multiple views in a non-pairwise manner by jointly learning multiple view-specific linear transforms. Specifically, our MvDA is formulated to jointly solve the multiple linear transforms by optimizing a generalized Rayleigh quotient, i.e., maximizing the between-class variations and minimizing the within-class variations from both intra-view and inter-view in the common space. By reformulating this problem as a ratio trace problem, the multiple linear transforms are achieved analytically and simultaneously through generalized eigenvalue decomposition. Furthermore, inspired by the observation that different views share similar data structures, a constraint is introduced to enforce the view-consistency of the multiple linear transforms. The proposed method is evaluated on three tasks: face recognition across pose, photo versus. sketch face recognition, and visual light image versus near infrared image face recognition on Multi-PIE, CUFSF and HFB databases respectively. Extensive experiments show that our MvDA achieves significant improvements compared with the best known results.

  6. Two prevalent h alleles in para-Bombay haplotypes among 250,000 Taiwanese.

    PubMed

    Chen, Ding-Ping; Tseng, Ching-Ping; Wang, Wei-Ting; Peng, Chien-Ting; Tsao, Kuo-Chien; Wu, Tsu-Lan; Lin, Kuan-Tsou; Sun, Chien-Feng

    2004-01-01

    Alpha(1,2)-fucosyltransferase catalyzes the transfer of fucose to the C-2 position of galactose on type II precursor substrate Gal beta1-4GlcNAc beta1-R. It plays an important biological role in the formation of H antigen, a precursor oligosaccharide for both A and B antigens on red blood cells. Aberration of alpha(1,2)-fucosyltransferase activity by gene mutations results in decreased synthesis of H antigen, leading to the para-Bombay phenotype. In this study, we collected about 250,000 blood samples in Taiwan during 5 yr and identified the subjects with para-Bombay phenotype. Then we analyzed the sequence of the alpha(1,2)-fucosyltransferase gene by direct sequencing and gene cloning methods, using the blood samples of 30 para-Bombay individuals and 30 control subjects who were randomly selected. The goals of this study were to search for new h alleles, to determine the h allele frequencies, and to test whether the sporadic theory is applicable in Taiwan. Six different h alleles (ha, 547-548 AG-del; hb, 880-881 TT-del; hc, R220C; hd, R220H; he, F174L; and hf, N327T) were observed. Two h alleles, he and hf, were newly discovered in Taiwan. The he allele has a nucleotide 522C>A point mutation, predicting the amino acid 174 substitution of Phe to Leu; the hf allele has missense mutation of nucleotide 980A>C, predicting the amino acid 327 substitution of Asn to Thr. Frequencies of the 6 alleles are ha 46.67%, hb 38.33%, hc 5.00%, hd 1.67%, he 3.33%, and hf 5.00%, respectively. These findings in the Taiwanese population confirm previous observations in other populations that the Bombay and para-Bombay phenotypes are due to diverse, sporadic, nonfunctional alleles, predominantly ha and hb, leading to H deficiency of red blood cells. In contrast to previous reports of non-prevalent associations of h alleles with para-Bombay phenotype, our results suggest a regional allele preference associated with para-Bombay individuals in Taiwan.

  7. Haplotypic Background of a Private Allele at High Frequency in the Americas

    PubMed Central

    Schroeder, Kari B.; Jakobsson, Mattias; Crawford, Michael H.; Schurr, Theodore G.; Boca, Simina M.; Conrad, Donald F.; Tito, Raul Y.; Osipova, Ludmilla P.; Tarskaia, Larissa A.; Zhadanov, Sergey I.; Wall, Jeffrey D.; Pritchard, Jonathan K.; Malhi, Ripan S.; Smith, David G.; Rosenberg, Noah A.

    2009-01-01

    Recently, the observation of a high-frequency private allele, the 9-repeat allele at microsatellite D9S1120, in all sampled Native American and Western Beringian populations has been interpreted as evidence that all modern Native Americans descend primarily from a single founding population. However, this inference assumed that all copies of the 9-repeat allele were identical by descent and that the geographic distribution of this allele had not been influenced by natural selection. To investigate whether these assumptions are satisfied, we genotyped 34 single nucleotide polymorphisms across ∼500 kilobases (kb) around D9S1120 in 21 Native American and Western Beringian populations and 54 other worldwide populations. All chromosomes with the 9-repeat allele share the same haplotypic background in the vicinity of D9S1120, suggesting that all sampled copies of the 9-repeat allele are identical by descent. Ninety-one percent of these chromosomes share the same 76.26 kb haplotype, which we call the “American Modal Haplotype” (AMH). Three observations lead us to conclude that the high frequency and widespread distribution of the 9-repeat allele are unlikely to be the result of positive selection: 1) aside from its association with the 9-repeat allele, the AMH does not have a high frequency in the Americas, 2) the AMH is not unusually long for its frequency compared with other haplotypes in the Americas, and 3) in Latin American mestizo populations, the proportion of Native American ancestry at D9S1120 is not unusual compared with that observed at other genomewide microsatellites. Using a new method for estimating the time to the most recent common ancestor (MRCA) of all sampled copies of an allele on the basis of an estimate of the length of the genealogy descended from the MRCA, we calculate the mean time to the MRCA of the 9-repeat allele to be between 7,325 and 39,900 years, depending on the demographic model used. The results support the hypothesis that all

  8. Discrimination of solvent from protein regions in native Fouriers as a means of evaluating heavy-atom solutions in the MIR and MAD methods

    SciTech Connect

    Terwilliger, Thomas C.; Berendzen, Joel

    1999-02-01

    The presence of distinct regions of high and low density variation in electron-density maps is found to be a good indicator of the correctness of a heavy-atom solution in the MIR and MAD methods. An automated examination of the native Fourier is tested as a means of evaluation of a heavy-atom solution in MAD and MIR methods for macromolecular crystallography. It is found that the presence of distinct regions of high and low density variation in electron-density maps is a good indicator of the correctness of a heavy-atom solution in the MIR and MAD methods. The method can be used to evaluate heavy-atom solutions during MAD and MIR structure solutions and to determine the handedness of the structure if anomalous data have been measured.

  9. Rational design of antisense oligonucleotides targeting single nucleotide polymorphisms for potent and allele selective suppression of mutant Huntingtin in the CNS

    PubMed Central

    Østergaard, Michael E.; Southwell, Amber L.; Kordasiewicz, Holly; Watt, Andrew T.; Skotte, Niels H.; Doty, Crystal N.; Vaid, Kuljeet; Villanueva, Erika B.; Swayze, Eric E.; Frank Bennett, C.; Hayden, Michael R.; Seth, Punit P.

    2013-01-01

    Autosomal dominant diseases such as Huntington’s disease (HD) are caused by a gain of function mutant protein and/or RNA. An ideal treatment for these diseases is to selectively suppress expression of the mutant allele while preserving expression of the wild-type variant. RNase H active antisense oligonucleotides (ASOs) or small interfering RNAs can achieve allele selective suppression of gene expression by targeting single nucleotide polymorphisms (SNPs) associated with the repeat expansion. ASOs have been previously shown to discriminate single nucleotide changes in targeted RNAs with ∼5-fold selectivity. Based on RNase H enzymology, we enhanced single nucleotide discrimination by positional incorporation of chemical modifications within the oligonucleotide to limit RNase H cleavage of the non-targeted transcript. The resulting oligonucleotides demonstrate >100-fold discrimination for a single nucleotide change at an SNP site in the disease causing huntingtin mRNA, in patient cells and in a completely humanized mouse model of HD. The modified ASOs were also well tolerated after injection into the central nervous system of wild-type animals, suggesting that their tolerability profile is suitable for advancement as potential allele-selective HD therapeutics. Our findings lay the foundation for efficient allele-selective downregulation of gene expression using ASOs—an outcome with broad application to HD and other dominant genetic disorders. PMID:23963702

  10. Optimal Experimental Design for Model Discrimination

    ERIC Educational Resources Information Center

    Myung, Jay I.; Pitt, Mark A.

    2009-01-01

    Models of a psychological process can be difficult to discriminate experimentally because it is not easy to determine the values of the critical design variables (e.g., presentation schedule, stimulus structure) that will be most informative in differentiating them. Recent developments in sampling-based search methods in statistics make it…

  11. Racial Discrimination in Canada: Asian Minorities.

    ERIC Educational Resources Information Center

    Chandra, Kananur V.

    The aim of this study was to find out whether racial discrimination exists in Canada; if so, how extensive is it? The method had three phases. In the first phase, questionnaire-interviews were conducted among the colored immigrants (East Indians, Pakistanis, and Bangladeshis) in the city of Montreal. The purpose of the interviews was to find out…

  12. Frequency discriminating laser

    SciTech Connect

    Thomas, M.D.

    1987-10-20

    A laser is described for discriminating between a higher gain transition and a lower gain transition to permit the laser to lase at the lower gain transition. It consists of: a laser cavity, including more than two mirrors each of which is highly transmissive at the frequency of the higher gain transition, one of which is partially reflective at the frequency of the lower gain transition, and all but the one of which are highly reflective at the frequency of the lower gain transition; an active laser medium disposed within the cavity; and means for pumping the active laser medium.

  13. PCR Strategies for Complete Allele Calling in Multigene Families Using High-Throughput Sequencing Approaches

    PubMed Central

    Marmesat, Elena; Soriano, Laura; Mazzoni, Camila J.; Sommer, Simone

    2016-01-01

    The characterization of multigene families with high copy number variation is often approached through PCR amplification with highly degenerate primers to account for all expected variants flanking the region of interest. Such an approach often introduces PCR biases that result in an unbalanced representation of targets in high-throughput sequencing libraries that eventually results in incomplete detection of the targeted alleles. Here we confirm this result and propose two different amplification strategies to alleviate this problem. The first strategy (called pooled-PCRs) targets different subsets of alleles in multiple independent PCRs using different moderately degenerate primer pairs, whereas the second approach (called pooled-primers) uses a custom-made pool of non-degenerate primers in a single PCR. We compare their performance to the common use of a single PCR with highly degenerate primers using the MHC class I of the Iberian lynx as a model. We found both novel approaches to work similarly well and better than the conventional approach. They significantly scored more alleles per individual (11.33 ± 1.38 and 11.72 ± 0.89 vs 7.94 ± 1.95), yielded more complete allelic profiles (96.28 ± 8.46 and 99.50 ± 2.12 vs 63.76 ± 15.43), and revealed more alleles at a population level (13 vs 12). Finally, we could link each allele’s amplification efficiency with the primer-mismatches in its flanking sequences and show that ultra-deep coverage offered by high-throughput technologies does not fully compensate for such biases, especially as real alleles may reach lower coverage than artefacts. Adopting either of the proposed amplification methods provides the opportunity to attain more complete allelic profiles at lower coverages, improving confidence over the downstream analyses and subsequent applications. PMID:27294261

  14. Allelic analysis of sheath blight resistance with association mapping in rice.

    PubMed

    Jia, Limeng; Yan, Wengui; Zhu, Chengsong; Agrama, Hesham A; Jackson, Aaron; Yeater, Kathleen; Li, Xiaobai; Huang, Bihu; Hu, Biaolin; McClung, Anna; Wu, Dianxing

    2012-01-01

    Sheath blight (ShB) caused by the soil-borne pathogen Rhizoctonia solani is one of the most devastating diseases in rice world-wide. Global attention has focused on examining individual mapping populations for quantitative trait loci (QTLs) for ShB resistance, but to date no study has taken advantage of association mapping to examine hundreds of lines for potentially novel QTLs. Our objective was to identify ShB QTLs via association mapping in rice using 217 sub-core entries from the USDA rice core collection, which were phenotyped with a micro-chamber screening method and genotyped with 155 genome-wide markers. Structure analysis divided the mapping panel into five groups, and model comparison revealed that PCA5 with genomic control was the best model for association mapping of ShB. Ten marker loci on seven chromosomes were significantly associated with response to the ShB pathogen. Among multiple alleles in each identified loci, the allele contributing the greatest effect to ShB resistance was named the putative resistant allele. Among 217 entries, entry GSOR 310389 contained the most putative resistant alleles, eight out of ten. The number of putative resistant alleles presented in an entry was highly and significantly correlated with the decrease of ShB rating (r = -0.535) or the increase of ShB resistance. Majority of the resistant entries that contained a large number of the putative resistant alleles belonged to indica, which is consistent with a general observation that most ShB resistant accessions are of indica origin. These findings demonstrate the potential to improve breeding efficiency by using marker-assisted selection to pyramid putative resistant alleles from various loci in a cultivar for enhanced ShB resistance in rice.

  15. Odour-based kin discrimination in the cooperatively breeding meerkat.

    PubMed

    Leclaire, Sarah; Nielsen, Johanna F; Thavarajah, Nathan K; Manser, Marta; Clutton-Brock, Tim H

    2013-02-23

    Kin recognition is a useful ability for animals, facilitating cooperation among relatives and avoidance of excessive kin competition or inbreeding. In meerkats, Suricata suricatta, encounters between unfamiliar kin are relatively frequent, and kin recognition by phenotype matching is expected to avoid inbreeding with close relatives. Here, we investigate whether female meerkats are able to discriminate the scent of unfamiliar kin from unfamiliar non-kin. Dominant females were presented with anal gland secretion from unfamiliar individuals that varied in their relatedness. Our result indicates that females spent more time investigating the scent of related than unrelated unfamiliar individuals, suggesting that females may use a phenotype matching mechanism (or recognition alleles) to discriminate the odour of their kin from the odour of their non-kin. Our study provides a key starting point for further investigations into the use of kin recognition for inbreeding avoidance in the widely studied meerkat.

  16. Odour-based kin discrimination in the cooperatively breeding meerkat.

    PubMed

    Leclaire, Sarah; Nielsen, Johanna F; Thavarajah, Nathan K; Manser, Marta; Clutton-Brock, Tim H

    2013-02-23

    Kin recognition is a useful ability for animals, facilitating cooperation among relatives and avoidance of excessive kin competition or inbreeding. In meerkats, Suricata suricatta, encounters between unfamiliar kin are relatively frequent, and kin recognition by phenotype matching is expected to avoid inbreeding with close relatives. Here, we investigate whether female meerkats are able to discriminate the scent of unfamiliar kin from unfamiliar non-kin. Dominant females were presented with anal gland secretion from unfamiliar individuals that varied in their relatedness. Our result indicates that females spent more time investigating the scent of related than unrelated unfamiliar individuals, suggesting that females may use a phenotype matching mechanism (or recognition alleles) to discriminate the odour of their kin from the odour of their non-kin. Our study provides a key starting point for further investigations into the use of kin recognition for inbreeding avoidance in the widely studied meerkat. PMID:23234867

  17. HLA-DRB1 allele distribution and its relation to rheumatoid arthritis in eastern Black Sea Turkish population.

    PubMed

    Uçar, Fahri; Karkucak, Murat; Alemdaroğlu, Emel; Capkin, Erhan; Yücel, Burcu; Sönmez, Mehmet; Tosun, Mehmet; Karaca, Adem

    2012-04-01

    Rheumatoid arthritis (RA [MIM 180300]) is a complex, polygenic inflammatory autoimmune disease, resulting from interactions between genetic and environmental factors. Some of the RA-associated HLA-DRB1 alleles have shared epitope, but their distribution varies among different racial/ethnic groups. This study was aimed at investigating the distribution of HLA-DRB1 alleles in patients with RA in eastern Black Sea region of Turkey. DNA samples of 320 patients with RA and 360 healthy controls were studied for the determination of HLA-DRB1 allele distribution using PCR-SSP method. The allele frequencies of HLA-DRB1*01, *04, and *09 were higher in patients with RA compared with the controls (P < 0.005, P < 0.0001, and P < 0.01, respectively). On the other hand, in patients with RA, HLA-DRB1*13 allele was lower than the controls (P < 0.001). Of the HLA-DRB1*04 subgroups, *0401 (40.83% vs. 18.75%, P < 0.001) was the most frequent allele in patients with RA, while DRB1*0402 (30.00% vs. 12.50%, P < 0.005) allele in the controls. HLA-DRB1 allele frequencies in the patients with RA and the controls showed Hardy-Weinberg rule compliance. Results of this study indicate that HLA-DRB1*01, *04, and *09 alleles were associated with RA, and HLA-DRB1*13 was protective allele against RA. Among the subgroups of HLA-DRB1*04, *0401 was detected to be RA associated, while *0402 was being protective. These results have some differences compared with previous reports originating from other regions of Turkey. PMID:21246357

  18. Perceptual Adaptation of Voice Gender Discrimination with Spectrally Shifted Vowels

    ERIC Educational Resources Information Center

    Li, Tianhao; Fu, Qian-Jie

    2011-01-01

    Purpose: To determine whether perceptual adaptation improves voice gender discrimination of spectrally shifted vowels and, if so, which acoustic cues contribute to the improvement. Method: Voice gender discrimination was measured for 10 normal-hearing subjects, during 5 days of adaptation to spectrally shifted vowels, produced by processing the…

  19. Discrimination of Mirror-Image shapes by Young Children

    ERIC Educational Resources Information Center

    Thompson, G. Brian

    1975-01-01

    Conducted two experiments which employed discrimination learning methods to test predictions related to the difficulty of discrimination of lateral reversals and of inversions when shapes are presented: (1) successively, (2) simultaneously in lateral alignment, and (3) simultaneously in vertical alignment. Subjects were 6-year-old children. (SDH)

  20. Discrimination, Mastery, and Depressive Symptoms among African American Men

    ERIC Educational Resources Information Center

    Watkins, Daphne C.; Hudson, Darrell L.; Caldwell, Cleopatra Howard; Siefert, Kristine; Jackson, James S.

    2011-01-01

    Purpose: This study examines the influence of discrimination and mastery on depressive symptoms for African American men at young (18-34), middle (35-54), and late (55+) adulthood. Method: Analyses are based on responses from 1,271 African American men from the National Survey of American Life (NSAL). Results: Discrimination was significantly…

  1. Comparison of Training Devices for Teaching Emotional Discrimination

    ERIC Educational Resources Information Center

    DiMattia, Dominic J.; Zimmer, Jules M.

    1972-01-01

    This study compared two training methods for preparing counselors to discriminate verbal, facial, and voice cues that are associated with the emotion of depression. Results showed programmed text treatment to be more effective in teaching discrimination of depressive cues than the video presentation. (Author)

  2. Kernel Partial Least Squares for Nonlinear Regression and Discrimination

    NASA Technical Reports Server (NTRS)

    Rosipal, Roman; Clancy, Daniel (Technical Monitor)

    2002-01-01

    This paper summarizes recent results on applying the method of partial least squares (PLS) in a reproducing kernel Hilbert space (RKHS). A previously proposed kernel PLS regression model was proven to be competitive with other regularized regression methods in RKHS. The family of nonlinear kernel-based PLS models is extended by considering the kernel PLS method for discrimination. Theoretical and experimental results on a two-class discrimination problem indicate usefulness of the method.

  3. Four novel PEPD alleles causing prolidase deficiency

    SciTech Connect

    Ledoux, P.; Scriver, C.; Hechtman, P. )

    1994-06-01

    Mutations at the PEPD locus cause prolidase (an enzyme specific for proline- and hydroxyproline-terminated dipeptides) deficiency (McKusick 170100), a rare autosomal recessive disorder characterized by iminodipeptiduria, skin ulcers, mental retardation, and recurrent infections. Four PEPD mutations from five severely affected individuals were characterized by analysis of reverse-transcribed, PCR-amplified (RT-PCR) cDNA. The authors used SSCP analysis on four overlapping cDNA fragments covering the entire coding region of the PEPD gene and detected abnormal SSCP bands for the fragments spanning all or part of exons 13-15 in three of the probands. Direct sequencing of the mutant cDNAs showed a G[yields]A, 1342 substitution (G448R) in two patients and a 3-bp deletion ([Delta]E452 or [Delta]E453) in another. In the other two probands the amplified products were of reduced size. Direct sequencing of these mutant cDNAs revealed a deletion of exon 5 in one patient and of exon 7 in the other. Intronic sequences flanking exons 5 and 7 were identified using inverse PCR followed by direct sequencing. Conventional PCR and direct sequencing then established the intron-exon borders of the mutant genomic DNA revealing two splice acceptor mutations: a G[yields]C substitution at position -1 of intron 4 and an A[yields]G substitution at position -2 of intron 6. The results indicate that the severe form of prolidase deficiency is caused by multiple PEPD alleles. In this report the authors attempt to begin the process of describing these alleles and cataloging their phenotype expression. 31 refs., 8 figs., 2 tabs.

  4. Assessing Toddlers’ Speech-Sound Discrimination

    PubMed Central

    Holt, Rachael Frush; Lalonde, Kaylah

    2012-01-01

    Objective Valid and reliable methods for assessing speech perception in toddlers are lacking in the field, leading to conspicuous gaps in understanding how speech perception develops and limited clinical tools for assessing sensory aid benefit in toddlers. The objective of this investigation was to evaluate speech-sound discrimination in toddlers using modifications to the Change/No-Change procedure1. Methods Normal-hearing 2- and 3-year-olds’ discrimination of acoustically dissimilar (“easy”) and similar (“hard”) speech-sound contrasts were evaluated in a combined repeated measures and factorial design. Performance was measured in d’. Effects of contrast difficulty and age were examined, as was test-retest reliability, using repeated measures ANOVAs, planned post-hoc tests, and correlation analyses. Results The easy contrast (M=2.53) was discriminated better than the hard contrast (M=1.72) across all ages (p < .0001). The oldest group of children (M=3.13) discriminated the contrasts better than youngest (M=1.04; p < .0001) and the mid-age children (M=2.20; p = .037), who in turn discriminated the contrasts better than the youngest children (p = .010). Test-retest reliability was excellent (r = .886, p < .0001). Almost 90% of the children met the teaching criterion. The vast majority demonstrated the ability to be tested with the modified procedure and discriminated the contrasts. The few who did not were 2.5 years of age and younger. Conclusions The modifications implemented resulted, at least preliminarily, in a procedure that is reliable and sensitive to contrast difficulty and age in this young group of children, suggesting that these modifications are appropriate for this age group. With further development, the procedure holds promise for use in clinical populations who are believed to have core deficits in rapid phonological encoding, such as children with hearing loss or specific language impairment, children who are struggling to read, and

  5. Initial frequency of alleles conferring resistance to Bacillus thuringiensis poplar in a field population of Chrysomela tremulae.

    PubMed Central

    Génissel, Anne; Augustin, Sylvie; Courtin, Claudine; Pilate, Gilles; Lorme, Philippe; Bourguet, Denis

    2003-01-01

    Globally, the estimated total area planted with transgenic plants producing Bacillus thuringiensis (Bt) toxins was 12 million hectares in 2001. The risk of target pests becoming resistant to these toxins has led to the implementation of resistance-management strategies. The efficiency and sustainability of these strategies, including the high-dose plus refuge strategy currently recommended for North American maize, depend on the initial frequency of resistance alleles. In this study, we estimated the initial frequencies of alleles conferring resistance to transgenic Bt poplars producing Cry3A in a natural population of the poplar pest Chrysomela tremulae (Coleoptera: Chrysomelidae). We used the F(2) screen method developed for detecting resistance alleles in natural pest populations. At least three parents of the 270 lines tested were heterozygous for a major Bt resistance allele. We estimated mean resistance-allele frequency for the period 1999-2001 at 0.0037 (95% confidence interval = 0.00045-0.0080) with a detection probability of 90%. These results demonstrate that (i) the F(2) screen method can be used to detect major alleles conferring resistance to Bt-producing plants in insects and (ii) the initial frequency of alleles conferring resistance to Bt toxin can be close to the highest theoretical values that are expected prior to the use of Bt plants if considering fitness costs and typical mutation rates. PMID:12737656

  6. Discriminative sensing techniques

    NASA Astrophysics Data System (ADS)

    Lewis, Keith

    2008-10-01

    The typical human vision system is able to discriminate between a million or so different colours, yet is able to do this with a chromatic sensor array that is fundamentally based on three different receptors, sensitive to light in the blue, green and red portions of the visible spectrum. Some biological organisms have extended capabilities, providing vision in the ultra-violet, whilst others, such as some species of mantis shrimp reportedly have sixteen different types of photo-receptors. In general the biological imaging sensor takes a minimalist approach to sensing its environment, whereas current optical engineering approaches follow a 'brute' force solution where the challenge of hyperspectral imaging is addressed by various schemes for spatial and spectral dispersion of radiation across existing detector arrays. This results in a problem for others to solve in the processing and communication of the generated hypercube of data. This paper explores the parallels between some of those biological systems and the various design concepts being developed for discriminative imaging, drawing on activity supported by the UK Electro-Magnetic Remote Sensing Defence Technology Centre (EMRS DTC).

  7. Predicting Carriers of Ongoing Selective Sweeps without Knowledge of the Favored Allele

    PubMed Central

    Zakov, Shay; Rosenberg, Noah A.; Bafna, Vineet

    2015-01-01

    Methods for detecting the genomic signatures of natural selection have been heavily studied, and they have been successful in identifying many selective sweeps. For most of these sweeps, the favored allele remains unknown, making it difficult to distinguish carriers of the sweep from non-carriers. In an ongoing selective sweep, carriers of the favored allele are likely to contain a future most recent common ancestor. Therefore, identifying them may prove useful in predicting the evolutionary trajectory—for example, in contexts involving drug-resistant pathogen strains or cancer subclones. The main contribution of this paper is the development and analysis of a new statistic, the Haplotype Allele Frequency (HAF) score. The HAF score, assigned to individual haplotypes in a sample, naturally captures many of the properties shared by haplotypes carrying a favored allele. We provide a theoretical framework for computing expected HAF scores under different evolutionary scenarios, and we validate the theoretical predictions with simulations. As an application of HAF score computations, we develop an algorithm (PreCIOSS: Predicting Carriers of Ongoing Selective Sweeps) to identify carriers of the favored allele in selective sweeps, and we demonstrate its power on simulations of both hard and soft sweeps, as well as on data from well-known sweeps in human populations. PMID:26402243

  8. Rapid, efficient and precise allele replacement in the fission yeast Schizosaccharomyces pombe

    PubMed Central

    Gao, Jun; Kan, Fengling; Wagnon, Jacy L.; Storey, Aaron J.; Protacio, Reine M.; Davidson, Mari K.; Wahls, Wayne P.

    2013-01-01

    Gene targeting provides a powerful tool to modify endogenous loci to contain specific mutations, insertions and deletions. Precise allele replacement, with no other chromosomal changes (e.g., insertion of selectable markers or heterologous promoters), maintains physiologically relevant context. Established methods for precise allele replacement in fission yeast employ two successive rounds of transformation and homologous recombination and require genotyping at each step. The relative efficiency of homologous recombination is low and a high rate of false positives during the second round of gene targeting further complicates matters. We report that pop-in, pop-out allele replacement circumvents these problems. We present data for 39 different allele replacements, involving simple and complex modifications at seven different target loci, that illustrate the power and utility of the approach. We also developed and validated a rapid, efficient process for precise allele replacement that requires only one round each of transformation and genotyping. We show that this process can be applied in population scale to an individual target locus, without genotyping, to identify clones with an altered phenotype (targeted forward genetics). It is therefore suitable for saturating, in situ, locus-specific mutation screens (e.g., of essential or non-essential genes and regulatory DNA elements) within normal chromosomal context. PMID:24026504

  9. Rapid, efficient and precise allele replacement in the fission yeast Schizosaccharomyces pombe.

    PubMed

    Gao, Jun; Kan, Fengling; Wagnon, Jacy L; Storey, Aaron J; Protacio, Reine U; Davidson, Mari K; Wahls, Wayne P

    2014-05-01

    Gene targeting provides a powerful tool to modify endogenous loci to contain specific mutations, insertions and deletions. Precise allele replacement, with no other chromosomal changes (e.g., insertion of selectable markers or heterologous promoters), maintains physiologically relevant context. Established methods for precise allele replacement in fission yeast employ two successive rounds of transformation and homologous recombination and require genotyping at each step. The relative efficiency of homologous recombination is low and a high rate of false positives during the second round of gene targeting further complicates matters. We report that pop-in, pop-out allele replacement circumvents these problems. We present data for 39 different allele replacements, involving simple and complex modifications at seven different target loci, that illustrate the power and utility of the approach. We also developed and validated a rapid, efficient process for precise allele replacement that requires only one round each of transformation and genotyping. We show that this process can be applied in population scale to an individual target locus, without genotyping, to identify clones with an altered phenotype (targeted forward genetics). It is therefore suitable for saturating, in situ, locus-specific mutation screens (e.g., of essential or non-essential genes and regulatory DNA elements) within normal chromosomal context. PMID:24026504

  10. Detection of nucleotide-specific CRISPR/Cas9 modified alleles using multiplex ligation detection

    PubMed Central

    KC, R.; Srivastava, A.; Wilkowski, J. M.; Richter, C. E.; Shavit, J. A.; Burke, D. T.; Bielas, S. L.

    2016-01-01

    CRISPR/Cas9 genome-editing has emerged as a powerful tool to create mutant alleles in model organisms. However, the precision with which these mutations are created has introduced a new set of complications for genotyping and colony management. Traditional gene-targeting approaches in many experimental organisms incorporated exogenous DNA and/or allele specific sequence that allow for genotyping strategies based on binary readout of PCR product amplification and size selection. In contrast, alleles created by non-homologous end-joining (NHEJ) repair of double-stranded DNA breaks generated by Cas9 are much less amenable to such strategies. Here we describe a novel genotyping strategy that is cost effective, sequence specific and allows for accurate and efficient multiplexing of small insertion-deletions and single-nucleotide variants characteristic of CRISPR/Cas9 edited alleles. We show that ligation detection reaction (LDR) can be used to generate products that are sequence specific and uniquely detected by product size and/or fluorescent tags. The method works independently of the model organism and will be useful for colony management as mutant alleles differing by a few nucleotides become more prevalent in experimental animal colonies. PMID:27557703

  11. Genetically Determined Amerindian Ancestry Correlates with Increased Frequency of Risk Alleles for Systemic Lupus Erythematosus

    PubMed Central

    Sanchez, E; Webb, R; Rasmussen, A.; Kelly, J.A; Riba, L.; Kaufman, K.M.; Garcia-de la Torre, I.; Moctezuma, J.F.; Maradiaga-Ceceña, M.A.; Cardiel, M.; Acevedo, E.; Cucho-Venegas, M.; Garcia, M.A.; Gamron, S.; Pons-Estel, B.A.; Vasconcelos, C.; Martin, J.; Tusié-Luna, T.; Harley, J.B.; Richardson, B.; Sawalha, A.H.; Alarcón-Riquelme, M.E.

    2011-01-01

    Objectives To analyze if genetically determined Amerindian ancestry predicts the increased presence of risk alleles of known susceptibility genes for systemic lupus erythematosus. Methods Single nucleotide polymorphisms within 16 confirmed genetic susceptibility loci for SLE were genotyped in a set of 804 Mestizo lupus patients and 667 Mestizo normal healthy controls. In addition, 347 admixture informative markers were genotyped. Individual ancestry proportions were determined using STRUCTURE. Association analysis was performed using PLINK, and correlation of the presence of risk alleles with ancestry was done using linear regression. Results A meta-analysis of the genetic association of the 16 SNPs across populations showed that TNFSF4, STAT4, PDCD1, ITGAM, and IRF5 were associated with lupus in a Hispanic-Mestizo cohort enriched for European and Amerindian ancestry. In addition, two SNPs within the MHC region, previously associated in a genome-wide association study in Europeans, were also associated in Mestizos. Using linear regression we predict an average increase of 2.34 risk alleles when comparing a lupus patient with 100% Amerindian ancestry to an SLE patient with 0% American Indian Ancestry (p<0.0001). SLE patients with 43% more Amerindian ancestry are predicted to carry one additional risk allele. Conclusion Amerindian ancestry increased the number of risk alleles for lupus. PMID:20848568

  12. CYP2D6 allele distribution in Macedonians, Albanians and Romanies in the Republic of Macedonia

    PubMed Central

    Kuzmanovska, M; Dimishkovska, M; Maleva Kostovska, I; Noveski, P; Sukarova Stefanovska, E

    2015-01-01

    Abstract Cytochrome P450 2D6 (CYP2D6) is an enzyme of great importance for the metabolism of clinically used drugs. More than 100 variants of the CYP2D6 gene have been identified so far. The aim of this study was to investigate the allele distribution of CYP2D6 gene variants in 100 individuals of each of the Macedonian, Albanian and Romany population, by genotyping using long range polymerase chain reaction (PCR) and a multiplex single base extension method. The most frequent variants and almost equally distributed in the three groups were the fully functional alleles *1 and *2. The most common non functional allele in all groups was *4 that was found in 22.5% of the Albanians. The most common allele with decreased activity was *41 which was found in 23.0% of the Romany ethnic group, in 11.0% of the Macedonians and in 10.5% of the Albanians. Seven percent of the Albanians, 6.0% of the Romani and 4.0% of the Macedonians were poor metabolizers, while 5.0% of the Macedonians, 1.0% of Albanians and 1.0% of the Romanies were ultrarapid metabolizers. We concluded that the CYP2D6 gene locus is highly heterogeneous in these groups and that the prevalence of the CYP2D6 allele variants and genotypes in the Republic of Macedonia is in accordance with that of other European populations.

  13. Estimating Allele Age and Selection Coefficient from Time-Serial Data

    PubMed Central

    Malaspinas, Anna-Sapfo; Malaspinas, Orestis; Evans, Steven N.; Slatkin, Montgomery

    2012-01-01

    Recent advances in sequencing technologies have made available an ever-increasing amount of ancient genomic data. In particular, it is now possible to target specific single nucleotide polymorphisms in several samples at different time points. Such time-series data are also available in the context of experimental or viral evolution. Time-series data should allow for a more precise inference of population genetic parameters and to test hypotheses about the recent action of natural selection. In this manuscript, we develop a likelihood method to jointly estimate the selection coefficient and the age of an allele from time-serial data. Our method can be used for allele frequencies sampled from a single diallelic locus. The transition probabilities are calculated by approximating the standard diffusion equation of the Wright–Fisher model with a one-step process. We show that our method produces unbiased estimates. The accuracy of the method is tested via simulations. Finally, the utility of the method is illustrated with an application to several loci encoding coat color in horses, a pattern that has previously been linked with domestication. Importantly, given our ability to estimate the age of the allele, it is possible to gain traction on the important problem of distinguishing selection on new mutations from selection on standing variation. In this coat color example for instance, we estimate the age of this allele, which is found to predate domestication. PMID:22851647

  14. Direct micro-haplotyping by multiple double PCR amplifications of specific alleles (MD-PASA)

    PubMed Central

    Eitan, Yuval; Kashi, Yechezkel

    2002-01-01

    Analysis of haplotypes is an important tool in population genetics, familial heredity and gene mapping. Determination of haplotypes of multiple single nucleotide polymorphisms (SNPs) or other simple mutations is time consuming and expensive when analyzing large populations, and often requires the help of computational and statistical procedures. Based on double PCR amplification of specific alleles, described previously, we have developed a simple, rapid and low-cost method for direct haplotyping of multiple SNPs and simple mutations found within relatively short specific regions or genes (micro-haplotypes). Using this method, it is possible to directly determine the physical linkage of multiple heterozygous alleles, by conducting a series of double allele-specific PCR amplification sets with simple analysis by gel electrophoresis. Application of the method requires prior information as to the sequence of the segment to be haplotyped, including the polymorphic sites. We applied the method to haplotyping of nine sites in the chicken HSP108 gene. One of the haplotypes in the population apparently arose by recombination between two existing haplotypes, and we were able to locate the point of recombination within a segment of 19 bp. We anticipate rapidly growing needs for SNP haplotyping in human (medical and pharmacogenetics), animal and plant genetics; in this context, the multiple double PCR amplifications of specific alleles (MD-PASA) method offers a useful haplotyping tool. PMID:12060700

  15. Inheritance of 15 microsatellites in the Pacific oyster Crassostrea gigas: segregation and null allele identification for linkage analysis

    NASA Astrophysics Data System (ADS)

    Li, Li; Guo, Ximing; Zhang, Guofan

    2009-02-01

    Microsatellites were screened in a backcross family of the Pacific oyster, Crassostrea gigas. Fifteen microsatellite loci were distinguishable and polymorphic with 6 types of allele-combinations. Null alleles were detected in 46.7% of loci, accounting for 11.7% of the total alleles. Four loci did not segregate in Mendelian Ratios. Three linkage groups were identified among 7 of the 15 segregating loci. Fluorescence-based automated capillary electrophoresis (ABI 310 Genetic Analyzer) that used to detect the microsatellite loci, has been proved a fast, precise, and reliable method in microsatellite genotyping.

  16. A novel HLA-A allele: A*0257.

    PubMed

    García-Ortiz, J E; Cox, S T; Sandoval-Ramirez, L; Little, A M; Marsh, S G E; Madrigal, J A; Argüello, J R

    2004-01-01

    A novel human leucocyte antigen-A*02 (HLA-A*02) allele was detected by reference strand-mediated conformation analysis (RSCA) of a DNA sample from a Tarahumara individual. Direct sequencing of HLA-A locus polymerase chain reaction products identified a mutation in one of the alleles. Cloning and sequencing confirmed the presence of a new allele, A*0257 which differed from A*0206 by two nucleotides at positions 355 and 362, inducing changes in residues 95 and 97, respectively, within the peptide-binding site. Those changes suggest that allele A*0257 may have resulted from an intralocus recombination event.

  17. Mutated tumor alleles are expressed according to their DNA frequency.

    PubMed

    Castle, John C; Loewer, Martin; Boegel, Sebastian; Tadmor, Arbel D; Boisguerin, Valesca; de Graaf, Jos; Paret, Claudia; Diken, Mustafa; Kreiter, Sebastian; Türeci, Özlem; Sahin, Ugur

    2014-04-22

    The transcription of tumor mutations from DNA into RNA has implications for biology, epigenetics and clinical practice. It is not clear if mutations are in general transcribed and, if so, at what proportion to the wild-type allele. Here, we examined the correlation between DNA mutation allele frequency and RNA mutation allele frequency. We sequenced the exome and transcriptome of tumor cell lines with large copy number variations, identified heterozygous single nucleotide mutations and absolute DNA copy number, and determined the corresponding DNA and RNA mutation allele fraction. We found that 99% of the DNA mutations in expressed genes are expressed as RNA. Moreover, we found a high correlation between the DNA and RNA mutation allele frequency. Exceptions are mutations that cause premature termination codons and therefore activate nonsense-mediated decay. Beyond this, we did not find evidence of any wide-scale mechanism, such as allele-specific epigenetic silencing, preferentially promoting mutated or wild-type alleles. In conclusion, our data strongly suggest that genes are equally transcribed from all alleles, mutated and wild-type, and thus transcribed in proportion to their DNA allele frequency.

  18. Nomenclature for human CYP2D6 alleles.

    PubMed

    Daly, A K; Brockmöller, J; Broly, F; Eichelbaum, M; Evans, W E; Gonzalez, F J; Huang, J D; Idle, J R; Ingelman-Sundberg, M; Ishizaki, T; Jacqz-Aigrain, E; Meyer, U A; Nebert, D W; Steen, V M; Wolf, C R; Zanger, U M

    1996-06-01

    To standardize CYP2D6 allele nomenclature, and to conform with international human gene nomenclature guidelines, an alternative to the current arbitrary system is described. Based on recommendations for human genome nomenclature, we propose that alleles be designated by CYP2D6 followed by an asterisk and a combination of roman letters and arabic numerals distinct for each allele with the number specifying the key mutation and, where appropriate, a letter specifying additional mutations. Criteria for classification as a separate allele and protein nomenclature are also presented. PMID:8807658

  19. A noncomplementation screen for quantitative trait alleles in saccharomyces cerevisiae.

    PubMed

    Kim, Hyun Seok; Huh, Juyoung; Riles, Linda; Reyes, Alejandro; Fay, Justin C

    2012-07-01

    Both linkage and linkage disequilibrium mapping provide well-defined approaches to mapping quantitative trait alleles. However, alleles of small effect are particularly difficult to refine to individual genes and causative mutations. Quantitative noncomplementation provides a means of directly testing individual genes for quantitative trait alleles in a fixed genetic background. Here, we implement a genome-wide noncomplementation screen for quantitative trait alleles that affect colony color or size by using the yeast deletion collection. As proof of principle, we find a previously known allele of CYS4 that affects colony color and a novel allele of CTT1 that affects resistance to hydrogen peroxide. To screen nearly 4700 genes in nine diverse yeast strains, we developed a high-throughput robotic plating assay to quantify colony color and size. Although we found hundreds of candidate alleles, reciprocal hemizygosity analysis of a select subset revealed that many of the candidates were false positives, in part the result of background-dependent haploinsufficiency or second-site mutations within the yeast deletion collection. Our results highlight the difficulty of identifying small-effect alleles but support the use of noncomplementation as a rapid means of identifying quantitative trait alleles of large effect. PMID:22870398

  20. Analytical method for total chromium and nickel in urine using an inductively coupled plasma-universal cell technology-mass spectrometer (ICP-UCT-MS) in kinetic energy discrimination (KED) mode

    PubMed Central

    Jones, Deanna R.; Jarrett, Jeffery M.; Shakirova, Gulchekhra; Pan, Yi; Caldwell, Kathleen L.; Jones, Robert L.

    2015-01-01

    Biomonitoring and emergency response measurements are an important aspect of the Division of Laboratory Sciences of the National Center for Environmental Health, Centers for Disease Control and Prevention (CDC). The continuing advancement in instrumentation allows for enhancements to existing analytical methods. Prior to this work, chromium and nickel were analyzed on a sector field inductively coupled plasma-mass spectrometer (SF-ICP-MS). This type of instrumentation provides the necessary sensitivity, selectivity, accuracy, and precision but due to the higher complexity of instrumentation and operation, it is not preferred for routine high throughput biomonitoring needs. Instead a quadrupole based method has been developed on a PerkinElmer NexION™ 300D ICP-MS. The instrument is operated using 6.0 mL min−1 helium as the collision cell gas and in kinetic energy discrimination mode, interferences are successfully removed for the analysis of 52Cr (40Ar12C and 35Cl16O1H) and 60Ni (44Ca16O). The limits of detection are 0.162 μg L−1 Cr and 0.248 μg L−1 Ni. Method accuracy using NIST SRM 2668 level 1 (1.08 μg L−1 Cr and 2.31μg L−1 Ni) and level 2 (27.7 μg L−1 Cr and 115 μg L−1 Ni) was within the 95% confidence intervals reported in the NIST certificate. Among-run precision is less than 10% RSDs (N = 20) for in house quality control and NIST SRM urine samples. While the limits of detection (LOD) for the new quadrupole ICP-UCT-MS with KED method are similar to the SF-ICP-MS method, better measurement precision is observed for the quadrupole method. The new method presented provides fast, accurate, and more precise results on a less complex and more robust ICP-MS platform. PMID:26229219

  1. Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry-Based Method for Discrimination between Molecular Types of Cryptococcus neoformans and Cryptococcus gattii

    PubMed Central

    Posteraro, Brunella; Vella, Antonietta; Cogliati, Massimo; De Carolis, Elena; Florio, Ada Rita; Posteraro, Patrizia; Tortorano, Anna Maria

    2012-01-01

    We evaluated the usefulness of matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) for Cryptococcus identification at the species and subspecies levels by using an in-house database of 25 reference cryptococcal spectra. Eighty-one out of the 82 Cryptococcus isolates (72 Cryptococcus neoformans and 10 Cryptococcus gattii) tested were correctly identified with respect to their molecular type designations. We showed that MALDI-TOF MS is a practicable alternative to conventional mycology or DNA-based methods. PMID:22573595

  2. Racial discrimination & health: pathways & evidence.

    PubMed

    Ahmed, Ameena T; Mohammed, Selina A; Williams, David R

    2007-10-01

    This review provides an overview of the existing empirical research of the multiple ways by which discrimination can affect health. Institutional mechanisms of discrimination such as restricting marginalized groups to live in undesirable residential areas can have deleterious health consequences by limiting socio-economic status (SES) and creating health-damaging conditions in residential environments. Discrimination can also adversely affect health through restricting access to desirable services such as medical care and creating elevated exposure to traditional stressors such as unemployment and financial strain. Central to racism is an ideology of inferiority that can adversely affect non-dominant groups because some members of marginalized populations will accept as true the dominant society's ideology of their group's inferiority. Limited empirical research indicates that internalized racism is inversely related to health. In addition, the existence of these negative stereotypes can lead dominant group members to consciously and unconsciously discriminate against the stigmatized. An overview of the growing body of research examining the ways in which psychosocial stress generated by subjective experiences of discrimination can affect health is also provided. We review the evidence from the United States and other societies that suggest that the subjective experience of discrimination can adversely affect health and health enhancing behaviours. Advancing our understanding of the relationship between discrimination and health requires improved assessment of the phenomenon of discrimination and increased attention to identifying the psychosocial and biological pathways that may link exposure to discrimination to health status.

  3. Trans-specific evolution of opsin alleles and the maintenance of trichromatic colour vision in Callitrichine primates.

    PubMed

    Surridge, Alison K; Mundy, Nicholas I

    2002-10-01

    Many New World (NW) primates possess a remarkable polymorphism in an X-linked locus, which encodes for the visual pigments (opsins) used for colour vision. Females that are heterozygous for opsin alleles of different spectral sensitivity at this locus have trichromatic colour vision, whereas homozygous females and males are dichromatic, with poor colour discrimination in the red-green range. Here we describe an extensive survey of allelic variation in both exons and introns at this locus within and among species of the Callitrichines (marmosets and tamarins). All five genera of Callitrichines have the X-linked polymorphism, and only the three functional allelic classes described previously (with maximum wavelength sensitivities at about 543 nm, 556 nm and 563 nm) were found among the 16 species and 233 or more X-chromosomes sampled. In spite of the homogenizing effects of gene conversion, phylogenetic analyses provide direct evidence for trans-specific evolution of alleles over time periods of at least 5-6 million years, and up to 14 million years (estimated from independent phylogenies). These conclusions are supported by the distribution of insertions and deletions in introns. The maintenance of polymorphism over these time periods requires an adaptive explanation, which must involve a heterozygote advantage for trichromats. The lack of detection of alleles that are recombinant for spectral sensitivity suggests that such alleles are suboptimal. The two main hypotheses for the selective advantage of trichromacy in primates are frugivory for ripe fruits and folivory for young leaves. The latter can be discounted in Callitrichines, as they are not folivorous. PMID:12296957

  4. Trans-specific evolution of opsin alleles and the maintenance of trichromatic colour vision in Callitrichine primates.

    PubMed

    Surridge, Alison K; Mundy, Nicholas I

    2002-10-01

    Many New World (NW) primates possess a remarkable polymorphism in an X-linked locus, which encodes for the visual pigments (opsins) used for colour vision. Females that are heterozygous for opsin alleles of different spectral sensitivity at this locus have trichromatic colour vision, whereas homozygous females and males are dichromatic, with poor colour discrimination in the red-green range. Here we describe an extensive survey of allelic variation in both exons and introns at this locus within and among species of the Callitrichines (marmosets and tamarins). All five genera of Callitrichines have the X-linked polymorphism, and only the three functional allelic classes described previously (with maximum wavelength sensitivities at about 543 nm, 556 nm and 563 nm) were found among the 16 species and 233 or more X-chromosomes sampled. In spite of the homogenizing effects of gene conversion, phylogenetic analyses provide direct evidence for trans-specific evolution of alleles over time periods of at least 5-6 million years, and up to 14 million years (estimated from independent phylogenies). These conclusions are supported by the distribution of insertions and deletions in introns. The maintenance of polymorphism over these time periods requires an adaptive explanation, which must involve a heterozygote advantage for trichromats. The lack of detection of alleles that are recombinant for spectral sensitivity suggests that such alleles are suboptimal. The two main hypotheses for the selective advantage of trichromacy in primates are frugivory for ripe fruits and folivory for young leaves. The latter can be discounted in Callitrichines, as they are not folivorous.

  5. Optical methods and differential scanning calorimetry as a potential tool for discrimination of olive oils (extra virgin and mix with vegetable oils)

    NASA Astrophysics Data System (ADS)

    Nikolova, Kr.; Yovcheva, T.; Marudova, M.; Eftimov, T.; Bodurov, I.; Viraneva, A.; Vlaeva, I.

    2016-03-01

    Eleven samples from olive oil have been investigated using four physical methods - refractive index measurement, fluorescence spectra, color parameters and differential scanning colorimetry. In pomace olive oil (POO) and extra virgin olive oil (EVOO) the oleic acid (65.24 %-78.40 %) predominates over palmitic (10.47 %-15.07 %) and linoleic (5.26 %-13.92 %) acids. The fluorescence spectra contain three peaks related to oxidation products at about λ = (500-540) nm, chlorophyll content at about λ = (675-680) nm and non determined pigments at λ = (700-750) nm. The melting point for EVOO and POO is between -1 °C and -6 °C. In contrast, the salad olive oils melt between -24 °C and -30 °C. The refractive index for EVOO is lower than that for mixed olive oils. The proposed physical methods could be used for fast and simple detection of vegetable oils in EVOO without use of chemical substances. The experimental results are in accordance with those obtained by chemical analysis.

  6. Specific HLA-DQB and HLA-DRB1 alleles confer susceptibility to pemphigus vulgaris.

    PubMed Central

    Scharf, S J; Freidmann, A; Steinman, L; Brautbar, C; Erlich, H A

    1989-01-01

    The autoimmune dermatologic disease pemphigus vulgaris (PV) is associated with the serotypes HLA-DR4 and HLA-DRw6. Based on nucleotide sequence and oligonucleotide probe analysis of enzymatically amplified DNA encoding HLA-DR beta chain (HLA-DRB) and HLA-DQ beta chain (HLA-DQB; henceforth HLA is omitted from designations), we showed previously that the DR4 susceptibility was associated with the Dw10 DRB1 allele [encoding the mixed lymphocyte culture (MLC)-defined Dw10 specificity]. The DRw6 susceptibility similarly was shown to be associated with a rare DQB allele (DQB1.3), which differed from another nonsusceptible allele by only a valine-to-aspartic acid substitution at position 57. Given the linkage disequilibrium that characterizes HLA haplotypes, it is difficult to assign disease susceptibility to a specific locus rather than to a closely linked gene(s) on the same haplotype. To address this problem, we have analyzed all of the polymorphic loci of the class II HLA region (DRB1, DRB3, DQA, DQB, and DPB) on the DRw6 haplotypes in patients and controls. In 22 PV patients, 4 different DRw6 haplotypes were found that encode the same DQ beta chain (DQB1.3) but contained silent nucleotide differences at the DQB locus as well as coding sequence differences in the DQA and DRB loci. These results, obtained by using a method for allele-specific polymerase chain reaction amplification, strongly support the hypothesis that the allele DQB1.3 confers susceptibility. This DQB allele is correlated with the MLC-defined Dw9 specificity and is associated with two different DRB1 alleles (the common "6A" associated with DRw13 and the rare "6B" associated with DRw14). Since 86% (19 of 22) of DRw6+ patients contain the DQB1.3 allele (vs. 3% of controls), whereas 64% (14 of 22) contain the DRB1 allele 6B (vs. 6% of the controls), we conclude that most of the DRw6 susceptibility to PV can be accounted for by the DQ beta chain. Images PMID:2503828

  7. Human Leukocyte Antigen Class I and II Alleles and Cervical Adenocarcinoma

    PubMed Central

    Safaeian, Mahboobeh; Johnson, Lisa G.; Yu, Kai; Wang, Sophia S.; Gravitt, Patti E.; Hansen, John A.; Carrington, Mary; Schwartz, Stephen M.; Gao, Xiaojiang; Hildesheim, Allan; Madeleine, Margaret M.

    2014-01-01

    Background: Associations between human leukocyte antigens (HLA) alleles and cervical cancer are largely representative of squamous cell carcinoma (SCC), the major histologic subtype. We evaluated the association between HLA class I (A, B, and C) and class II (DRB1 and DQB1) loci and risk of cervical adenocarcinoma (ADC), a less common but aggressive histologic subtype. Methods: We pooled data from the Eastern and Western US Cervical Cancer studies, and evaluated the association between individual alleles and allele combinations and ADC (n = 630 ADC; n = 775 controls). Risk estimates were calculated for 11 a priori (based on known associations with cervical cancer regardless of histologic type) and 38 non a priori common alleles, as odds ratios (OR) and 95% confidence intervals (CI), adjusted for age and study. In exploratory analysis, we compared the risk associations between subgroups with HPV16 or HPV18 DNA in ADC tumor tissues in the Western US study cases and controls. Results: Three of the a priori alleles were significantly associated with decreased risk of ADC [DRB1*13:01 (OR = 0.61; 95% CI: 0.41–0.93), DRB1*13:02 (OR = 0.49; 95% CI: 0.31–0.77), and DQB1*06:03 (OR = 0.64; 95% CI: 0.42–0.95)]; one was associated with increased risk [B*07:02 (OR = 1.39; 95% CI: 1.07–1.79)]. Among alleles not previously reported, DQB1*06:04 (OR = 0.46; 95% CI: 0.27–0.78) was associated with decreased risk of ADC and remained significant after correction for multiple comparisons, and C*07:02 (OR = 1.41; 95% CI: 1.09–1.81) was associated with increased risk. We did not observe a difference by histologic subtype. ADC was most strongly associated with increased risk with B*07:02/C*07:02 alleles (OR = 1.33; 95% CI: 1.01–1.76) and decreased risk with DRB1*13:02/DQB1*06:04 (OR = 0.41; 95% CI: 0.21–0.80). Conclusion: Results suggest that HLA allele associations with cervical ADC are similar to those for cervical SCC. An intriguing

  8. Projected gradients for subclass discriminant nonnegative subspace learning.

    PubMed

    Nikitidis, Symeon; Tefas, Anastasios; Pitas, Ioannis

    2014-12-01

    Current discriminant nonnegative matrix factorization (NMF) methods either do not guarantee convergence to a stationary limit point or assume a compact data distribution inside classes, thus ignoring intra class variance in extracting discriminant data samples representations. To address both limitations, we regard that data inside each class has a multimodal distribution, forming various subclasses and perform optimization using a projected gradients framework to ensure limit point stationarity. The proposed method combines appropriate clustering-based discriminant criteria in the NMF decomposition cost function, in order to find discriminant projections that enhance class separability in the reduced dimensional projection space, thus improving classification performance. The developed algorithms have been applied to facial expression, face and object recognition, and experimental results verified that they successfully identified discriminant parts, thus enhancing recognition performance.

  9. Gaussian discriminating strength

    NASA Astrophysics Data System (ADS)

    Rigovacca, L.; Farace, A.; De Pasquale, A.; Giovannetti, V.

    2015-10-01

    We present a quantifier of nonclassical correlations for bipartite, multimode Gaussian states. It is derived from the Discriminating Strength measure, introduced for finite dimensional systems in Farace et al., [New J. Phys. 16, 073010 (2014), 10.1088/1367-2630/16/7/073010]. As the latter the new measure exploits the quantum Chernoff bound to gauge the susceptibility of the composite system with respect to local perturbations induced by unitary gates extracted from a suitable set of allowed transformations (the latter being identified by posing some general requirements). Closed expressions are provided for the case of two-mode Gaussian states obtained by squeezing or by linearly mixing via a beam splitter a factorized two-mode thermal state. For these density matrices, we study how nonclassical correlations are related with the entanglement present in the system and with its total photon number.

  10. Convex Discriminative Multitask Clustering.

    PubMed

    Zhang, Xiao-Lei

    2015-01-01

    Multitask clustering tries to improve the clustering performance of multiple tasks simultaneously by taking their relationship into account. Most existing multitask clustering algorithms fall into the type of generative clustering, and none are formulated as convex optimization problems. In this paper, we propose two convex Discriminative Multitask Clustering (DMTC) objectives to address the problems. The first one aims to learn a shared feature representation, which can be seen as a technical combination of the convex multitask feature learning and the convex Multiclass Maximum Margin Clustering (M3C). The second one aims to learn the task relationship, which can be seen as a combination of the convex multitask relationship learning and M3C. The objectives of the two algorithms are solved in a uniform procedure by the efficient cutting-plane algorithm and further unified in the Bayesian framework. Experimental results on a toy problem and two benchmark data sets demonstrate the effectiveness of the proposed algorithms. PMID:26353206

  11. Weight discrimination and bullying.

    PubMed

    Puhl, Rebecca M; King, Kelly M

    2013-04-01

    Despite significant attention to the medical impacts of obesity, often ignored are the negative outcomes that obese children and adults experience as a result of stigma, bias, and discrimination. Obese individuals are frequently stigmatized because of their weight in many domains of daily life. Research spanning several decades has documented consistent weight bias and stigmatization in employment, health care, schools, the media, and interpersonal relationships. For overweight and obese youth, weight stigmatization translates into pervasive victimization, teasing, and bullying. Multiple adverse outcomes are associated with exposure to weight stigmatization, including depression, anxiety, low self-esteem, body dissatisfaction, suicidal ideation, poor academic performance, lower physical activity, maladaptive eating behaviors, and avoidance of health care. This review summarizes the nature and extent of weight stigmatization against overweight and obese individuals, as well as the resulting consequences that these experiences create for social, psychological, and physical health for children and adults who are targeted. PMID:23731874

  12. Genetic discrimination: international perspectives.

    PubMed

    Otlowski, M; Taylor, S; Bombard, Y

    2012-01-01

    Genetic discrimination (GD) is a complex, multifaceted ethical, psychosocial, and legal phenomenon. It is defined as the differential treatment of asymptomatic individuals or their relatives on the basis of their real or assumed genetic characteristics. This article presents an overview of GD within the contemporary international context. It describes the concept of GD and its contextual features, reviews research evidence regarding people's experiences of GD and the impact of GD within a range of domains, and provides an overview of legal and policy responses to GD that have emerged globally. We argue that GD is a significant and internationally established phenomenon that requires multilevel responses to ensure social justice and equitable outcomes for all citizens. Future research should monitor GD and its impacts within the community as well as institutions and should evaluate the effectiveness of legislative, policy, community education, and systemic responses. PMID:22607273

  13. Empirical evaluations of analytical issues arising from predicting HLA alleles using multiple SNPs

    PubMed Central

    2011-01-01

    Background Numerous immune-mediated diseases have been associated with the class I and II HLA genes located within the major histocompatibility complex (MHC) consisting of highly polymorphic alleles encoded by the HLA-A, -B, -C, -DRB1, -DQB1 and -DPB1 loci. Genotyping for HLA alleles is complex and relatively expensive. Recent studies have demonstrated the feasibility of predicting HLA alleles, using MHC SNPs inside and outside of HLA that are typically included in SNP arrays and are commonly available in genome-wide association studies (GWAS). We have recently described a novel method that is complementary to the previous methods, for accurately predicting HLA alleles using unphased flanking SNPs genotypes. In this manuscript, we address several practical issues relevant to the application of this methodology. Results Applying this new methodology to three large independent study cohorts, we have evaluated the performance of the predictive models in ethnically diverse populations. Specifically, we have found that utilizing imputed in addition to genotyped SNPs generally yields comparable if not better performance in prediction accuracies. Our evaluation also supports the idea that predictive models trained on one population are transferable to other populations of the same ethnicity. Further, when the training set includes multi-ethnic populations, the resulting models are reliable and perform well for the same subpopulations across all HLA genes. In contrast, the predictive models built from single ethnic populations have superior performance within the same ethnic population, but are not likely to perform well in other ethnic populations. Conclusions The empirical explorations reported here provide further evidence in support of the application of this approach for predicting HLA alleles with GWAS-derived SNP data. Utilizing all available samples, we have built "state of the art" predictive models for HLA-A, -B, -C, -DRB1, -DQB1 and -DPB1. The HLA allele

  14. A DNA Barcoding Method to Discriminate between the Model Plant Brachypodium distachyon and Its Close Relatives B. stacei and B. hybridum (Poaceae)

    PubMed Central

    López-Alvarez, Diana; López-Herranz, Maria Luisa; Betekhtin, Alexander; Catalán, Pilar

    2012-01-01

    Background Brachypodium distachyon s. l. has been widely investigated across the world as a model plant for temperate cereals and biofuel grasses. However, this annual plant shows three cytotypes that have been recently recognized as three independent species, the diploids B. distachyon (2n = 10) and B. stacei (2n = 20) and their derived allotetraploid B. hybridum (2n = 30). Methodology/Principal Findings We propose a DNA barcoding approach that consists of a rapid, accurate and automatable species identification method using the standard DNA sequences of complementary plastid (trnLF) and nuclear (ITS, GI) loci. The highly homogenous but largely divergent B. distachyon and B. stacei diploids could be easily distinguished (100% identification success) using direct trnLF (2.4%), ITS (5.5%) or GI (3.8%) sequence divergence. By contrast, B. hybridum could only be unambiguously identified through the use of combined trnLF+ITS sequences (90% of identification success) or by cloned GI sequences (96.7%) that showed 5.4% (ITS) and 4% (GI) rate divergence between the two parental sequences found in the allopolyploid. Conclusion/Significance Our data provide an unbiased and effective barcode to differentiate these three closely-related species from one another. This procedure overcomes the taxonomic uncertainty generated from methods based on morphology or flow cytometry identifications that have resulted in some misclassifications of the model plant and its allies. Our study also demonstrates that the allotetraploid B. hybridum has resulted from bi-directional crosses of B. distachyon and B. stacei plants acting either as maternal or paternal parents. PMID:23240000

  15. Evaluation of the standard normal variate method for Laser-Induced Breakdown Spectroscopy data treatment applied to the discrimination of painting layers

    NASA Astrophysics Data System (ADS)

    Syvilay, D.; Wilkie-Chancellier, N.; Trichereau, B.; Texier, A.; Martinez, L.; Serfaty, S.; Detalle, V.

    2015-12-01

    Nowadays, Laser-Induced Breakdown Spectroscopy (LIBS) is frequently used for in situ analyses to identify pigments from mural paintings. Nonetheless, in situ analyses require a robust instrumentation in order to face to hard experimental conditions. This may imply variation of fluencies and thus inducing variation of LIBS signal, which degrades spectra and then results. Usually, to overcome these experimental errors, LIBS signal is processed. Signal processing methods most commonly used are the baseline subtraction and the normalization by using a spectral line. However, the latter suggests that this chosen element is a constant component of the material, which may not be the case in paint layers organized in stratigraphic layers. For this reason, it is sometimes difficult to apply this normalization. In this study, another normalization will be carried out to throw off these signal variations. Standard normal variate (SNV) is a normalization designed for these conditions. It is sometimes implemented in Diffuse Reflectance Infrared Fourier Transform Spectroscopy and in Raman Spectroscopy but rarely in LIBS. The SNV transformation is not newly applied on LIBS data, but for the first time the effect of SNV on LIBS spectra was evaluated in details (energy of laser, shot by shot, quantification). The aim of this paper is the quick visualization of the different layers of a stratigraphic painting sample by simple data representations (3D or 2D) after SNV normalization. In this investigation, we showed the potential power of SNV transformation to overcome undesired LIBS signal variations but also its limit of application. This method appears as a promising way to normalize LIBS data, which may be interesting for in-situ depth analyses.

  16. Short communication: the beta-casein (CSN2) silent allele C1 is highly spread in goat breeds.

    PubMed

    Chessa, S; Rignanese, D; Küpper, J; Pagnacco, G; Erhardt, G; Caroli, A

    2008-11-01

    Several single nucleotide polymorphisms have been identified in the goat milk casein genes, most of them modifying the amino acid sequence of the coded protein. At least 9 variants have been found in goat beta-CN (CSN2); 6 of them were characterized at the DNA level (A, A1, C, E, 0, and 0'), whereas the other 3 variants were described only at the protein level. The recently identified silent A1 allele is characterized by a C-->T transition at the 180th nucleotide of the ninth exon. In the present work, typing results from different breeds (3 Italian, 3 German, and a composite of African breeds for a total of 335 samples) demonstrated that the same mutation is carried by the CSN2*C allele. In addition, the T nucleotide at the 180th nucleotide of the ninth exon was always associated with CSN2*C in all the breeds analyzed. Thus, another silent allele occurs at goat CSN2 and can be named CSN2*C1. The much wider distribution of C1 with respect to the A1 allele indicates that the single nucleotide polymorphisms characterizing the silent mutation originated from CSN2*C. A method for the identification of this allele simultaneously with 5 of the 6 DNA-characterized alleles is also proposed. The mutation involved codifies for the same protein of the C allele; nevertheless, its location in the 3' untranslated region of the gene might affect the specific casein expression.

  17. Arrhythmia discrimination using a smart phone.

    PubMed

    Chong, Jo Woon; Esa, Nada; McManus, David D; Chon, Ki H

    2015-05-01

    We hypothesize that our smartphone-based arrhythmia discrimination algorithm with data acquisition approach reliably differentiates between normal sinus rhythm (NSR), atrial fibrillation (AF), premature ventricular contractions (PVCs) and premature atrial contraction (PACs) in a diverse group of patients having these common arrhythmias. We combine root mean square of successive RR differences and Shannon entropy with Poincare plot (or turning point ratio method) and pulse rise and fall times to increase the sensitivity of AF discrimination and add new capabilities of PVC and PAC identification. To investigate the capability of the smartphone-based algorithm for arrhythmia discrimination, 99 subjects, including 88 study participants with AF at baseline and in NSR after electrical cardioversion, as well as seven participants with PACs and four with PVCs were recruited. Using a smartphone, we collected 2-min pulsatile time series from each recruited subject. This clinical application results show that the proposed method detects NSR with specificity of 0.9886, and discriminates PVCs and PACs from AF with sensitivities of 0.9684 and 0.9783, respectively.

  18. Identification of the third/extra allele for forensic application in cases with TPOX tri-allelic pattern.

    PubMed

    Picanço, Juliane Bentes; Raimann, Paulo Eduardo; da Motta, Carlos Henrique Ares Silveira; Rodenbusch, Rodrigo; Gusmão, Leonor; Alho, Clarice Sampaio

    2015-05-01

    Genotyping of polymorphic short tandem repeats (STRs) loci is widely used in forensic DNA analysis. STR loci eventually present tri-allelic pattern as a genotyping irregularity and, in that situation, the doubt about the tri-allele locus frequency calculation can reduce the analysis strength. In the TPOX human STR locus, tri-allelic genotypes have been reported with a widely varied frequency among human populations. We investigate whether there is a single extra allele (the third allele) in the TPOX tri-allelic pattern, what it is, and where it is, aiming to understand its genomic anatomy and to propose the knowledge of this TPOX extra allele from genetic profile, thus preserving the two standard TPOX alleles in forensic analyses. We looked for TPOX tri-allelic subjects in 75,113 Brazilian families. Considering only the parental generation (mother+father) we had 150,226 unrelated subjects evaluated. From this total, we found 88 unrelated subjects with tri-allelic pattern in the TPOX locus (0.06%; 88/150,226). Seventy three of these 88 subjects (73/88; 83%) had the Clayton's original Type 2 tri-allelic pattern (three peaks of even intensity). The remaining 17% (15/88) show a new Type 2 derived category with heterozygote peak imbalance (one double dose peak plus one regular sized peak). In this paper we present detailed data from 66 trios (mother+father+child) with true biological relationships. In 39 of these families (39/66; 59%) the extra TPOX allele was transmitted either from the mother or from the father to the child. Evidences indicated the allele 10 as the extra TPOX allele, and it is on the X chromosome. The present data, which support the previous Lane hypothesis, improve the knowledge about tri-allelic pattern of TPOX CODIS' locus allowing the use of TPOX profile in forensic analyses even when with tri-allelic pattern. This evaluation is now available for different forensic applications. PMID:25549886

  19. Comparative in vivo expression of beta(+)-thalassemia alleles.

    PubMed

    Marwan, M M; Scerri, C A; Zarroag, S O; Cao, A; Kyrri, A; Kalogirou, E; Kleanthous, M; Ioannou, P; Angastiniotis, M; Felice, A E

    1999-08-01

    Double heterozygotes who inherit one abnormal though stable beta-globin variant in association with a molecularly identified beta(+)-thalassaemia allele provide unique opportunities to quantify the in vivo expression of particular beta(+)-thalassemia alleles. The globin products of the two alleles can be separated, quantified and the output of the beta(+)-thalassaemia allele expressed as the MCH-beta(A) in pg beta(A)-globin/beta(+)-thalassemia allele/RBC = 0.5 MCH x Hb A%. In this communication we provide new quantitative data on the expression of five mutations as follows: the beta(+)-87 (C-->G) = 3.8 pg beta(A)-globin/beta(+)-thalassemia allele/RBC (n = 1); the beta(+) IVS-I-1 (G-->A) = 0.2 pg beta(A)-globin/beta(+)-thalassemia allele/RBC (n = 1); the beta(+) IVS-I-6 (T-->C) = 2.9 pg beta(A)-globin/beta(+)-thalassemia allele/RBC (n = 7); the beta(+) IVS-I-110 (G-->A) = 1.1 pg beta(A)-globin/beta(+)-thalassemia allele/RBC (n = 13), and the beta(+) IVS-II-745 (C-->G) = 1.74 pg beta(A)-globin/beta(+)-thalassemia allele/RBC (n = 2). The values obtained are compared with those of other beta(+)-thalassemia alleles from the literature. It can be seen that the MCH-beta(A) value may be a correct index of thalassemia severity useful for the correlation of genotype with phenotype, and for understanding the effects of mutations in beta-globin genes on pathophysiologically meaningful beta-globin gene expression. PMID:10490134

  20. Multimer Formation Explains Allelic Suppression of PRDM9 Recombination Hotspots

    PubMed Central

    Baker, Christopher L.; Petkova, Pavlina; Walker, Michael; Flachs, Petr; Mihola, Ondrej; Trachtulec, Zdenek; Petkov, Petko M.; Paigen, Kenneth

    2015-01-01

    Genetic recombination during meiosis functions to increase genetic diversity, promotes elimination of deleterious alleles, and helps assure proper segregation of chromatids. Mammalian recombination events are concentrated at specialized sites, termed hotspots, whose locations are determined by PRDM9, a zinc finger DNA-binding histone methyltransferase. Prdm9 is highly polymorphic with most alleles activating their own set of hotspots. In populations exhibiting high frequencies of heterozygosity, questions remain about the influences different alleles have in heterozygous individuals where the two variant forms of PRDM9 typically do not activate equivalent populations of hotspots. We now find that, in addition to activating its own hotspots, the presence of one Prdm9 allele can modify the activity of hotspots activated by the other allele. PRDM9 function is also dosage sensitive; Prdm9 +/- heterozygous null mice have reduced numbers and less active hotspots and increased numbers of aberrant germ cells. In mice carrying two Prdm9 alleles, there is allelic competition; the stronger Prdm9 allele can partially or entirely suppress chromatin modification and recombination at hotspots of the weaker allele. In cell cultures, PRDM9 protein variants form functional heteromeric complexes which can bind hotspots sequences. When a heteromeric complex binds at a hotspot of one PRDM9 variant, the other PRDM9 variant, which would otherwise not bind, can still methylate hotspot nucleosomes. We propose that in heterozygous individuals the underlying molecular mechanism of allelic suppression results from formation of PRDM9 heteromers, where the DNA binding activity of one protein variant dominantly directs recombination initiation towards its own hotspots, effectively titrating down recombination by the other protein variant. In natural populations with many heterozygous individuals, allelic competition will influence the recombination landscape. PMID:26368021

  1. Multimer Formation Explains Allelic Suppression of PRDM9 Recombination Hotspots.

    PubMed

    Baker, Christopher L; Petkova, Pavlina; Walker, Michael; Flachs, Petr; Mihola, Ondrej; Trachtulec, Zdenek; Petkov, Petko M; Paigen, Kenneth

    2015-09-01

    Genetic recombination during meiosis functions to increase genetic diversity, promotes elimination of deleterious alleles, and helps assure proper segregation of chromatids. Mammalian recombination events are concentrated at specialized sites, termed hotspots, whose locations are determined by PRDM9, a zinc finger DNA-binding histone methyltransferase. Prdm9 is highly polymorphic with most alleles activating their own set of hotspots. In populations exhibiting high frequencies of heterozygosity, questions remain about the influences different alleles have in heterozygous individuals where the two variant forms of PRDM9 typically do not activate equivalent populations of hotspots. We now find that, in addition to activating its own hotspots, the presence of one Prdm9 allele can modify the activity of hotspots activated by the other allele. PRDM9 function is also dosage sensitive; Prdm9+/- heterozygous null mice have reduced numbers and less active hotspots and increased numbers of aberrant germ cells. In mice carrying two Prdm9 alleles, there is allelic competition; the stronger Prdm9 allele can partially or entirely suppress chromatin modification and recombination at hotspots of the weaker allele. In cell cultures, PRDM9 protein variants form functional heteromeric complexes which can bind hotspots sequences. When a heteromeric complex binds at a hotspot of one PRDM9 variant, the other PRDM9 variant, which would otherwise not bind, can still methylate hotspot nucleosomes. We propose that in heterozygous individuals the underlying molecular mechanism of allelic suppression results from formation of PRDM9 heteromers, where the DNA binding activity of one protein variant dominantly directs recombination initiation towards its own hotspots, effectively titrating down recombination by the other protein variant. In natural populations with many heterozygous individuals, allelic competition will influence the recombination landscape. PMID:26368021

  2. Multimer Formation Explains Allelic Suppression of PRDM9 Recombination Hotspots.

    PubMed

    Baker, Christopher L; Petkova, Pavlina; Walker, Michael; Flachs, Petr; Mihola, Ondrej; Trachtulec, Zdenek; Petkov, Petko M; Paigen, Kenneth

    2015-09-01

    Genetic recombination during meiosis functions to increase genetic diversity, promotes elimination of deleterious alleles, and helps assure proper segregation of chromatids. Mammalian recombination events are concentrated at specialized sites, termed hotspots, whose locations are determined by PRDM9, a zinc finger DNA-binding histone methyltransferase. Prdm9 is highly polymorphic with most alleles activating their own set of hotspots. In populations exhibiting high frequencies of heterozygosity, questions remain about the influences different alleles have in heterozygous individuals where the two variant forms of PRDM9 typically do not activate equivalent populations of hotspots. We now find that, in addition to activating its own hotspots, the presence of one Prdm9 allele can modify the activity of hotspots activated by the other allele. PRDM9 function is also dosage sensitive; Prdm9+/- heterozygous null mice have reduced numbers and less active hotspots and increased numbers of aberrant germ cells. In mice carrying two Prdm9 alleles, there is allelic competition; the stronger Prdm9 allele can partially or entirely suppress chromatin modification and recombination at hotspots of the weaker allele. In cell cultures, PRDM9 protein variants form functional heteromeric complexes which can bind hotspots sequences. When a heteromeric complex binds at a hotspot of one PRDM9 variant, the other PRDM9 variant, which would otherwise not bind, can still methylate hotspot nucleosomes. We propose that in heterozygous individuals the underlying molecular mechanism of allelic suppression results from formation of PRDM9 heteromers, where the DNA binding activity of one protein variant dominantly directs recombination initiation towards its own hotspots, effectively titrating down recombination by the other protein variant. In natural populations with many heterozygous individuals, allelic competition will influence the recombination landscape.

  3. Perceived weight discrimination and obesity.

    PubMed

    Sutin, Angelina R; Terracciano, Antonio

    2013-01-01

    Weight discrimination is prevalent in American society. Although associated consistently with psychological and economic outcomes, less is known about whether weight discrimination is associated with longitudinal changes in obesity. The objectives of this research are (1) to test whether weight discrimination is associated with risk of becoming obese (Body Mass Index≥30; BMI) by follow-up among those not obese at baseline, and (2) to test whether weight discrimination is associated with risk of remaining obese at follow-up among those already obese at baseline. Participants were drawn from the Health and Retirement Study, a nationally representative longitudinal survey of community-dwelling US residents. A total of 6,157 participants (58.6% female) completed the discrimination measure and had weight and height available from the 2006 and 2010 assessments. Participants who experienced weight discrimination were approximately 2.5 times more likely to become obese by follow-up (OR = 2.54, 95% CI = 1.58-4.08) and participants who were obese at baseline were three times more likely to remain obese at follow up (OR = 3.20, 95% CI = 2.06-4.97) than those who had not experienced such discrimination. These effects held when controlling for demographic factors (age, sex, ethnicity, education) and when baseline BMI was included as a covariate. These effects were also specific to weight discrimination; other forms of discrimination (e.g., sex, race) were unrelated to risk of obesity at follow-up. The present research demonstrates that, in addition to poorer mental health outcomes, weight discrimination has implications for obesity. Rather than motivating individuals to lose weight, weight discrimination increases risk for obesity.

  4. PCR method for the rapid detection and discrimination of Legionella spp. based on the amplification of pcs, pmtA, and 16S rRNA genes.

    PubMed

    Janczarek, Monika; Palusińska-Szysz, Marta

    2016-05-01

    Legionella bacteria are organisms of public health interest due to their ability to cause pneumonia (Legionnaires' disease) in susceptible humans and their ubiquitous presence in water supply systems. Rapid diagnosis of Legionnaires' disease allows the use of therapy specific for the disease. L. pneumophila serogroup 1 is the most common cause of infection acquired in community and hospital environments. The non-L. pneumophila infections are likely under-detected because of a lack of effective diagnosis. In this work, simplex and duplex PCR assays with the use of new molecular markers pcs and pmtA involved in phosphatidylcholine synthesis were specified for rapid and cost-efficient identification and distinguishing Legionella species. The sets of primers developed were found to be sensitive and specific for reliable detection of Legionella belonging to the eight most clinically relevant species. Among these, four primer sets I, II, VI, and VII used for duplex-PCRs proved to have the highest identification power and reliability in the detection of the bacteria. Application of this PCR-based method should improve detection of Legionella spp. in both clinical and environmental settings and facilitate molecular typing of these organisms.

  5. PCR method for the rapid detection and discrimination of Legionella spp. based on the amplification of pcs, pmtA, and 16S rRNA genes.

    PubMed

    Janczarek, Monika; Palusińska-Szysz, Marta

    2016-05-01

    Legionella bacteria are organisms of public health interest due to their ability to cause pneumonia (Legionnaires' disease) in susceptible humans and their ubiquitous presence in water supply systems. Rapid diagnosis of Legionnaires' disease allows the use of therapy specific for the disease. L. pneumophila serogroup 1 is the most common cause of infection acquired in community and hospital environments. The non-L. pneumophila infections are likely under-detected because of a lack of effective diagnosis. In this work, simplex and duplex PCR assays with the use of new molecular markers pcs and pmtA involved in phosphatidylcholine synthesis were specified for rapid and cost-efficient identification and distinguishing Legionella species. The sets of primers developed were found to be sensitive and specific for reliable detection of Legionella belonging to the eight most clinically relevant species. Among these, four primer sets I, II, VI, and VII used for duplex-PCRs proved to have the highest identification power and reliability in the detection of the bacteria. Application of this PCR-based method should improve detection of Legionella spp. in both clinical and environmental settings and facilitate molecular typing of these organisms. PMID:26423783

  6. BMI-Associated Alleles Do Not Constitute Risk Alleles for Polycystic Ovary Syndrome Independently of BMI: A Case-Control Study

    PubMed Central

    Louwers, Yvonne V.; Rayner, Nigel W.; Herrera, Blanca M.; Stolk, Lisette; Groves, Christopher J.; Barber, Thomas M.; Uitterlinden, Andre G.; Franks, Stephen

    2014-01-01

    Introduction Polycystic Ovary Syndrome (PCOS) has a strong genetic background and the majority of patients with PCOS have elevated BMI levels. The aim of this study was to determine to which extent BMI-increasing alleles contribute to risk of PCOS when contemporaneous BMI is taken into consideration. Methods Patients with PCOS and controls were recruited from the United Kingdom (563 cases and 791 controls) and The Netherlands (510 cases and 2720 controls). Cases and controls were of similar BMI. SNPs mapping to 12 BMI-associated loci which have been extensively replicated across different ethnicities, i.e., BDNF, FAIM2, ETV5, FTO, GNPDA2, KCTD15, MC4R, MTCH2, NEGR1, SEC16B, SH2B1, and TMEM18, were studied in association with PCOS within each cohort using the additive genetic model followed by a combined analysis. A genetic allelic count risk score model was used to determine the risk of PCOS for individuals carrying increasing numbers of BMI-increasing alleles. Results None of the genetic variants, including FTO and MC4R, was associated with PCOS independently of BMI in the meta-analysis. Moreover, no differences were observed between cases and controls in the number of BMI-risk alleles present and no overall trend across the risk score groups was observed. Conclusion In this combined analysis of over 4,000 BMI-matched individuals from the United Kingdom and the Netherlands, we observed no association of BMI risk alleles with PCOS independent of BMI. PMID:24498077

  7. Trans allele methylation and paramutation-like effects in mice

    PubMed Central

    Herman, Herry; Lu, Michael; Anggraini, Melly; Sikora, Aimee; Chang, Yanjie; Yoon, Bong June; Soloway, Paul D

    2009-01-01

    In mammals, imprinted genes have parent-of-origin–specific patterns of DNA methylation that cause allele-specific expression. At Rasgrf1 (encoding RAS protein-specific guanine nucleotide-releasing factor 1), a repeated DNA element is needed to establish methylation and expression of the active paternal allele1. At Igf2r (encoding insulin-like growth factor 2 receptor), a sequence called region 2 is needed for methylation of the active maternal allele2,3. Here we show that replacing the Rasgrf1 repeats on the paternal allele with region 2 allows both methylation and expression of the paternal copy of Rasgrf1, indicating that sequences that control methylation can function ectopically. Paternal transmission of the mutated allele also induced methylation and expression in trans of the normally unmethylated and silent wild-type maternal allele. Once activated, the wild-type maternal Rasgrf1 allele maintained its activated state in the next generation independently of the paternal allele. These results recapitulate in mice several features in common with paramutation described in plants4. PMID:12740578

  8. Rescue of Progeria in Trichothiodystrophy by Homozygous Lethal Xpd Alleles

    PubMed Central

    Andressoo, Jaan-Olle; Jans, Judith; de Wit, Jan; Coin, Frederic; Hoogstraten, Deborah; van de Ven, Marieke; Toussaint, Wendy; Huijmans, Jan; Thio, H. Bing; van Leeuwen, Wibeke J; de Boer, Jan; Egly, Jean-Marc; Hoeijmakers, Jan H. J; van der Horst, Gijsbertus T. J; Mitchell, James R

    2006-01-01

    Although compound heterozygosity, or the presence of two different mutant alleles of the same gene, is common in human recessive disease, its potential to impact disease outcome has not been well documented. This is most likely because of the inherent difficulty in distinguishing specific biallelic effects from differences in environment or genetic background. We addressed the potential of different recessive alleles to contribute to the enigmatic pleiotropy associated with XPD recessive disorders in compound heterozygous mouse models. Alterations in this essential helicase, with functions in both DNA repair and basal transcription, result in diverse pathologies ranging from elevated UV sensitivity and cancer predisposition to accelerated segmental progeria. We report a variety of biallelic effects on organismal phenotype attributable to combinations of recessive Xpd alleles, including the following: (i) the ability of homozygous lethal Xpd alleles to ameliorate a variety of disease symptoms when their essential basal transcription function is supplied by a different disease-causing allele, (ii) differential developmental and tissue-specific functions of distinct Xpd allele products, and (iii) interallelic complementation, a phenomenon rarely reported at clinically relevant loci in mammals. Our data suggest a re-evaluation of the contribution of “null” alleles to XPD disorders and highlight the potential of combinations of recessive alleles to affect both normal and pathological phenotypic plasticity in mammals. PMID:17020410

  9. Biased Allelic Expression in Human Primary Fibroblast Single Cells

    PubMed Central

    Borel, Christelle; Ferreira, Pedro G.; Santoni, Federico; Delaneau, Olivier; Fort, Alexandre; Popadin, Konstantin Y.; Garieri, Marco; Falconnet, Emilie; Ribaux, Pascale; Guipponi, Michel; Padioleau, Ismael; Carninci, Piero; Dermitzakis, Emmanouil T.; Antonarakis, Stylianos E.

    2015-01-01

    The study of gene expression in mammalian single cells via genomic technologies now provides the possibility to investigate the patterns of allelic gene expression. We used single-cell RNA sequencing to detect the allele-specific mRNA level in 203 single human primary fibroblasts over 133,633 unique heterozygous single-nucleotide variants (hetSNVs). We observed that at the snapshot of analyses, each cell contained mostly transcripts from one allele from the majority of genes; indeed, 76.4% of the hetSNVs displayed stochastic monoallelic expression in single cells. Remarkably, adjacent hetSNVs exhibited a haplotype-consistent allelic ratio; in contrast, distant sites located in two different genes were independent of the haplotype structure. Moreover, the allele-specific expression in single cells correlated with the abundance of the cellular transcript. We observed that genes expressing both alleles in the majority of the single cells at a given time point were rare and enriched with highly expressed genes. The relative abundance of each allele in a cell was controlled by some regulatory mechanisms given that we observed related single-cell allelic profiles according to genes. Overall, these results have direct implications in cellular phenotypic variability. PMID:25557783

  10. Genetic parameters and allele frequencies of five new European Standard Set STR loci (D10S1248, D22S1045, D2S441, D1S1656, D12S391) in the population of Romania

    PubMed Central

    Stanciu, Florin; Vladu, Simona; Cuţăr, Veronica; Cocioabă, Daniela; Iancu, Florentina; Cotolea, Adnana; Stoian, Ionel Marius

    2013-01-01

    Aim To establish allele frequencies and genetic parameters for 5 new European Standard Set short tandem repeat (STR) loci in the population of Romania and to compare them with those in other populations. Methods DNA was isolated using QIAamp 96 DNA Swab BioRobot Kit and Chelex 100 methods. Polymerase chain reaction amplification was done using Investigator ESSplexPlus Kit (D1S1656, D2S441, D2S1338, D3S1358, D8S1179, D10S1248, D12S391, D16S539, D18S51, D19S433, D21S11, D22S1045, FGA, TH01, and vWA). For DNA typing, Applied Biosystems 3500/3500xL Genetic Analyzer was used. Statistical analysis was done using Powerstats, GDA, and Arlequin software. Results Power of discrimination and polymorphism information content was highest for two new ESS loci, D1S1656 and D12S391. Comparison of allele frequencies for 5 new ESS loci in Romanian population with previously published population data showed significant differences for all compared populations, with the exception of Hungary. Geographically more distant populations, such as Spain, Sweden, United Kingdom, Germany, and Portugal differed more than closer populations. Conclusion New ESS STR loci are very useful for the analysis of forensic samples (persons or traces) due to their characteristics (shortness and high polymorphism). In comparisons with other common STR markers, they have a higher power of discrimination and also higher polymorphism information content, and could be used in any national DNA database. PMID:23771753

  11. First example of an FY*01 allele associated with weakened expression of Fya on red blood cells.

    PubMed

    Arndt, Patricia A; Horn, Trina; Keller, Jessica A; Heri, Suzanne M; Keller, Margaret A

    2015-01-01

    Duffy antigens are important in immunohematology. the reference allele for the Duffy gene (FY) is FY*02, which encodes Fy(b). An A>G single nucleotide polymorphism (SNP) at coding nucleotide (c.) 125 in exon 2 defines the FY*01 allele, which encodes the antithetical Fy(a). A C>T SNP at c.265 in the FY*02 allele is associated with weakening of Fy(b) expression on red blood cells (R BCs) (called Fy(x)). until recently, this latter change had not been described on a FY*01 background allele. Phenotype-matched units were desired for a multi-transfused Vietnamese fetus with α-thalassemia. Genotyping of the fetus using a microarray assay that interrogates three SNPs (c.1-67, c.125, and c.265) in FY yielded indeterminate results for the predicted Duffy phenotype. Genomic sequencing of FY exon 2 showed that the fetal sample had one wild-type FY*01 allele and one new FY*01 allele with the c.265C>T SNP, which until recently had only been found on the FY*02 allele. Genotyping performed on samples from the proband's parents indicated that the father had the same FY genotype as the fetus. Flow cytometry, which has been previously demonstrated as a useful method to study antigen strength on cells, was used to determine if this new FY*01 allele was associated with reduced Fy(a) expression on the father's RBCs. Median fluorescence intensity of the father's RBCs (after incubation with anti-FY(a) and fluorescein-labeled anti-IgG) was similar to known FY*01 heterozygotes. and significantly weaker than known FY*01 homozygotes. In conclusion, the fetus and father both had one normal FY*01 allele and one new FY*01W.01, is associated with weakened expression of Fy(a) on RBCs.

  12. First example of an FY*01 allele associated with weakened expression of Fya on red blood cells.

    PubMed

    Arndt, Patricia A; Horn, Trina; Keller, Jessica A; Heri, Suzanne M; Keller, Margaret A

    2015-01-01

    Duffy antigens are important in immunohematology. the reference allele for the Duffy gene (FY) is FY*02, which encodes Fy(b). An A>G single nucleotide polymorphism (SNP) at coding nucleotide (c.) 125 in exon 2 defines the FY*01 allele, which encodes the antithetical Fy(a). A C>T SNP at c.265 in the FY*02 allele is associated with weakening of Fy(b) expression on red blood cells (R BCs) (called Fy(x)). until recently, this latter change had not been described on a FY*01 background allele. Phenotype-matched units were desired for a multi-transfused Vietnamese fetus with α-thalassemia. Genotyping of the fetus using a microarray assay that interrogates three SNPs (c.1-67, c.125, and c.265) in FY yielded indeterminate results for the predicted Duffy phenotype. Genomic sequencing of FY exon 2 showed that the fetal sample had one wild-type FY*01 allele and one new FY*01 allele with the c.265C>T SNP, which until recently had only been found on the FY*02 allele. Genotyping performed on samples from the proband's parents indicated that the father had the same FY genotype as the fetus. Flow cytometry, which has been previously demonstrated as a useful method to study antigen strength on cells, was used to determine if this new FY*01 allele was associated with reduced Fy(a) expression on the father's RBCs. Median fluorescence intensity of the father's RBCs (after incubation with anti-FY(a) and fluorescein-labeled anti-IgG) was similar to known FY*01 heterozygotes. and significantly weaker than known FY*01 homozygotes. In conclusion, the fetus and father both had one normal FY*01 allele and one new FY*01W.01, is associated with weakened expression of Fy(a) on RBCs. PMID:26829175

  13. Computer aided designing of microwave frequency discriminator

    NASA Astrophysics Data System (ADS)

    Kaczmarek, Paweł

    2008-01-01

    Microwave frequency discriminator (MFD) is a device, which is used to generate signal carrying information about frequency of input signal. Depending on type of subassemblies, which were used in examined MFD, its parameters will change. Developed simulator BP-PK-V2.0 is able to measure frequency of virtual or obtained from measurement by other microwave devices signals. Its most important feature is, that the program enables its user to test parameters of discriminator created from certain subassemblies without manufacturing physical device and, when the results are not satisfactory, remodeling its structure with one or more elements. Tests will end when expected performance is achieved and only then should simulated MFD be implemented in PCB. Two types of visualization, in which described simulator is equipped with, enable to determine properties of two methods of estimating measured value: continuous method (with high resolution) and discrete method, in which information precision is limited to subrange with finite width.

  14. Imbalanced Learning Based on Logistic Discrimination

    PubMed Central

    Guo, Huaping; Zhi, Weimei; Liu, Hongbing; Xu, Mingliang

    2016-01-01

    In recent years, imbalanced learning problem has attracted more and more attentions from both academia and industry, and the problem is concerned with the performance of learning algorithms in the presence of data with severe class distribution skews. In this paper, we apply the well-known statistical model logistic discrimination to this problem and propose a novel method to improve its performance. To fully consider the class imbalance, we design a new cost function which takes into account the accuracies of both positive class and negative class as well as the precision of positive class. Unlike traditional logistic discrimination, the proposed method learns its parameters by maximizing the proposed cost function. Experimental results show that, compared with other state-of-the-art methods, the proposed one shows significantly better performance on measures of recall, g-mean, f-measure, AUC, and accuracy. PMID:26880877

  15. Institutional Discrimination in Agricultural Programs.

    ERIC Educational Resources Information Center

    Payne, William C., Jr.

    1991-01-01

    Examines history of discrimination within U.S. agricultural programs, specifically in U.S. Department of Agriculture (USDA). Compares USDA employment and grant allocations for Blacks and Whites since Civil Rights Act of 1964. Cites other examples of institutional discrimination in federal agriculture programs. Calls for development of policy…

  16. White Attitudes Toward Black Discrimination

    ERIC Educational Resources Information Center

    Austin, B. William

    1976-01-01

    Reviews several national surveys of white racial attitudes done between 1963 and 1974 by Harris and Associates, the University of Michigan's Institute for Social Research, and Potomac Associates, focusing on perceptions of discrimination and attitudes towards housing, jobs, education, the police, legislation, and reverse discrimination. (JM)

  17. Disability Discrimination in Higher Education.

    ERIC Educational Resources Information Center

    Weber, Mark C.

    1999-01-01

    Reviewed 1998 and early 1999 court decisions related to disability discrimination in higher education. This period witnessed major developments in the law of disability discrimination as it relates to higher education. A major focus was on whether persons whose impairments are ameliorated by treatment are individuals with disabilities covered by…

  18. Discrimination against Muslim American Adolescents

    ERIC Educational Resources Information Center

    Aroian, Karen J.

    2012-01-01

    Although there is ample evidence of discrimination toward Muslim Americans in general, there is limited information specific to Muslim American adolescents. The few existing studies specific to this age group suggest that Muslim American adolescents encounter much discrimination from teachers, school administrators, and classmates. This…

  19. Disability Discrimination in Higher Education.

    ERIC Educational Resources Information Center

    Weber, Mark C.

    2000-01-01

    Reviews court cases in 1999 related to disability discrimination in higher education focusing on the Americans with Disabilities Act and section 504 of the Rehabilitation Act of 1973. The "Garrett" case regarding Eleventh Amendment immunity is the case most likely to be significant in the development of the law of disability discrimination. (SLD)

  20. Disability Discrimination in Higher Education.

    ERIC Educational Resources Information Center

    Weber, Mark C.

    2002-01-01

    Reviews developments in 2000 in the law of disability discrimination as it relates to higher education, which falls into five categories: (1) definition of a qualified individual; (2) accommodations, access, undue burden, and fundamental alteration of programs; (3) intentional discrimination, harassment, and retaliation; (4) Eleventh Amendment…

  1. Employment Discrimination in Higher Education.

    ERIC Educational Resources Information Center

    Hustoles, Thomas P.; Griffin, Oren R.

    2000-01-01

    Reviews court decisions related to employment discrimination in higher education. The most significant development was a series of cases affirming that Eleventh Amendment immunity from private money damage claims brought pursuant to various federal employment discrimination statutes applied to state colleges and universities. (SLD)

  2. MEANING DISCRIMINATION IN BILINGUAL DICTIONARIES.

    ERIC Educational Resources Information Center

    IANNUCCI, JAMES E.

    SEMANTIC DISCRIMINATION OF POLYSEMOUS ENTRY WORDS IN BILINGUAL DICTIONARIES WAS DISCUSSED IN THE PAPER. HANDICAPS OF PRESENT BILINGUAL DICTIONARIES AND BARRIERS TO THEIR FULL UTILIZATION WERE ENUMERATED. THE AUTHOR CONCLUDED THAT (1) A BILINGUAL DICTIONARY SHOULD HAVE A DISCRIMINATION FOR EVERY TRANSLATION OF AN ENTRY WORD WHICH HAS SEVERAL…

  3. Invidious Discrimination: Second Generation Issues

    ERIC Educational Resources Information Center

    Simpson, Robert J.; Dee, Paul

    1976-01-01

    Discusses school law issues dealing with various forms of invidious discrimination. Considers discrimination based on forms of involuntary association (ethnicity, economic status, primary language, and maturity) and forms of voluntary association (sexual proclivity, marital status, pregnancy and parenthood, self-expression and appearance, religion…

  4. Children's Perceptions of Gender Discrimination

    ERIC Educational Resources Information Center

    Brown, Christia Spears; Bigler, Rebecca S.

    2004-01-01

    Children (N = 76; ages 5-10 years) participated in a study designed to examine perceptions of gender discrimination. Children were read scenarios in which a teacher determined outcomes for 2 students (1 boy and 1 girl). Contextual information (i.e., teacher's past behavior), the gender of the target of discrimination (i.e., student), and the…

  5. THE HIGH COST OF DISCRIMINATION.

    ERIC Educational Resources Information Center

    ROPER, ELMO

    ON THE BASIS OF EMPLOYEE SURVEYS AND IN-PLANT RESEARCH, THE TOTAL COST OF DISCRIMINATION TO AMERICAN BUSINESS AND INDUSTRY IN ACTUAL DOLLARS IS ESTIMATED AT ROUGHLY $30 BILLION ANNUALLY. DISCRIMINATION IN INDUSTRY BEGINS AT THE HIRING GATE WHERE MINORITY GROUPS ARE REFUSED EMPLOYMENT BECAUSE OF RACE, COLOR, RELIGION, NATIONALITY, POLITICAL…

  6. Employment Discrimination in Higher Education.

    ERIC Educational Resources Information Center

    Lee, Barbara A.

    1999-01-01

    Reviewed academic employment discrimination cases decided in 1998. Concludes that such cases added little to civil rights jurisprudence, but demonstrated the frustration felt by many over the fact that federal employment discrimination statures were not designed with universities in mind. The complexity of academic employment decisions ensures…

  7. Addressing Discrimination in School Matters!

    ERIC Educational Resources Information Center

    Sullivan, Amanda L.

    2009-01-01

    Every student has the right to an education free from discrimination that provides high-quality, equitable opportunities to learn. Unfortunately, sometimes individuals or systems may act in ways that violate this right. Discrimination occurs when people are treated unequally or less favorably than others because of some real or perceived…

  8. Vibrotactile Discrimination of Musical Timbre

    ERIC Educational Resources Information Center

    Russo, Frank A.; Ammirante, Paolo; Fels, Deborah I.

    2012-01-01

    Five experiments investigated the ability to discriminate between musical timbres based on vibrotactile stimulation alone. Participants made same/different judgments on pairs of complex waveforms presented sequentially to the back through voice coils embedded in a conforming chair. Discrimination between cello, piano, and trombone tones matched…

  9. Statistical Studies on Protein Polymorphism in Natural Populations. III. Distribution of Allele Frequencies and the Number of Alleles per Locus

    PubMed Central

    Chakraborty, Ranajit; Fuerst, Paul A.; Nei, Masatoshi

    1980-01-01

    With the aim of understanding the mechanism of maintenance of protein polymorphism, we have studied the properties of allele frequency distribution and the number of alleles per locus, using gene-frequency data from a wide range of organisms (mammals, birds, reptiles, amphibians, Drosophila and non-Drosophila invertebrates) in which 20 or more loci with at least 100 genes were sampled. The observed distribution of allele frequencies was U-shaped in all of the 138 populations (mostly species or subspecies) examined and generally agreed with the theoretical distribution expected under the mutation-drift hypothesis, though there was a significant excess of rare alleles (gene frequency, 0 ∼ 0.05) in about a quarter of the populations. The agreement between the mutation-drift theory and observed data was quite satisfactory for the numbers of polymorphic (gene frequency, 0.05 ∼ 0.95) and monomorphic (0.95 ∼ 1.0) alleles.—The observed pattern of allele-frequency distribution was incompatible with the prediction from the overdominance hypothesis. The observed correlations of the numbers of rare alleles, polymorphic alleles and monomorphic alleles with heterozygosity were of the order of magnitude that was expected under the mutation-drift hypothesis. Our results did not support the view that intracistronic recombination is an important source of genetic variation. The total number of alleles per locus was positively correlated with molecular weight in most of the species examined, and the magnitude of the correlation was consistent with the theoretical prediction from mutation-drift hypothesis. The correlation between molecular weight and the number of alleles was generally higher than the correlation between molecular weight and heterozygosity, as expected. PMID:17249018

  10. HLA-DR alleles determine responsiveness to Borrelia burgdoferi antigens

    PubMed Central

    Iliopoulou, Bettina Panagiota; Guerau-de-Arellano, Mireia; Huber, Brigitte T.

    2010-01-01

    Objective Arthritis is a prominent manifestation of Lyme disease, caused upon infection with Borrelia burgdorferi (Bb). Persistent chronic Lyme arthritis, even after antibiotic treatment, is linked to HLA-DRB1*0401 (DR4) and related alleles. On the contrary, Lyme patients who resolve arthritis within 3 months post-infection show an increased frequency of HLA-DRB1*1101 (DR11). The aim of this study was to analyze the underlying mechanism by which HLA-DR alleles confer genetic susceptibility or resistance to antibiotic-refractory Lyme arthritis. Methods We generated DR11 transgenic (tg) mice on a murine class II−/− background and compared their immune response to Bb-antigens to that of DR4 tg mice after immunization with Bb outer surface protein (Osp)A or infection with live Bb. Results We report that the T cells of OspA-immunized and Bb-infected DR11 tg mice were defective in IFN-γ production compared to those of DR4 mice. On the other hand, DR11 tg mice developed higher titers of anti-OspA and anti-Bb Abs, respectively, than DR4 mice. In accordance with this observation, we found that Bb-infected DR11 tg mice had decreased spirochetal burden compared to DR4 mice, measured by qPCR. Conclusion This study provides direct evidence that in the presence of HLA-DR11 the immune response against Bb-antigens is directed towards a protective Ab response. In contrast, an inflammatory Th1 response is induced in the presence of DR4. These observations offer an explanation for the differential genetic susceptibility of DR4+ and DR11+ individuals for the development of chronic Lyme arthritis and eventually the progression to antibiotic-refractory Lyme arthritis. PMID:19950279

  11. ALFRED: an allele frequency resource for research and teaching

    PubMed Central

    Rajeevan, Haseena; Soundararajan, Usha; Kidd, Judith R.; Pakstis, Andrew J.; Kidd, Kenneth K.

    2012-01-01

    ALFRED (http://alfred.med.yale.edu) is a free, web accessible, curated compilation of allele frequency data on DNA sequence polymorphisms in anthropologically defined human populations. Currently, ALFRED has allele frequency tables on over 663 400 polymorphic sites; 170 of them have frequency tables for more than 100 different population samples. In ALFRED, a population may have multiple samples with each ‘sample’ consisting of many individuals on which an allele frequency is based. There are 3566 population samples from 710 different populations with allele frequency tables on at least one polymorphism. Fifty of those population samples have allele frequency data for over 650 000 polymorphisms. Records also have active links to relevant resources (dbSNP, PharmGKB, OMIM, Ethnologue, etc.). The flexible search options and data display and download capabilities available through the web interface allow easy access to the large quantity of high-quality data in ALFRED. PMID:22039151

  12. A gene feature enumeration approach for describing HLA allele polymorphism.

    PubMed

    Mack, Steven J

    2015-12-01

    HLA genotyping via next generation sequencing (NGS) poses challenges for the use of HLA allele names to analyze and discuss sequence polymorphism. NGS will identify many new synonymous and non-coding HLA sequence variants. Allele names identify the types of nucleotide polymorphism that define an allele (non-synonymous, synonymous and non-coding changes), but do not describe how polymorphism is distributed among the individual features (the flanking untranslated regions, exons and introns) of a gene. Further, HLA alleles cannot be named in the absence of antigen-recognition domain (ARD) encoding exons. Here, a system for describing HLA polymorphism in terms of HLA gene features (GFs) is proposed. This system enumerates the unique nucleotide sequences for each GF in an HLA gene, and records these in a GF enumeration notation that allows both more granular dissection of allele-level HLA polymorphism and the discussion and analysis of GFs in the absence of ARD-encoding exon sequences.

  13. The frequency of HLA alleles in the Romanian population.

    PubMed

    Constantinescu, Ileana; Boșcaiu, Voicu; Cianga, Petru; Dinu, Andrei-Antoniu; Gai, Elena; Melinte, Mihaela; Moise, Ana

    2016-03-01

    Knowledge of human leukocyte antigen (HLA) allele frequencies is essential for bone marrow and kidney donor searches. The Romanian Caucasian population is heterogeneous and information on HLA polymorphism has not been well studied. We characterized the HLA genetic profile and allele frequencies of regional populations in Romania. HLA-A, B and DRB1 alleles were examined in 8252 individuals, belonging to the four main regions of Romania. The most common alleles found in the Romanian population are the following: HLA-A*01, A*02, A*03, A*11, A*24; HLA-B*18, B*35, B*44, B*51 and HLA-DRB1*01, DRB1*03, DRB1*07, DRB1*11, DRB1*13, DRB1*15, DRB1*16. More than half of the alleles are non-homogeneously spread in Romania. These results provide a starting point for future analyses of genetic heterogeneity in Romania.

  14. The frequency of HLA alleles in the Romanian population.

    PubMed

    Constantinescu, Ileana; Boșcaiu, Voicu; Cianga, Petru; Dinu, Andrei-Antoniu; Gai, Elena; Melinte, Mihaela; Moise, Ana

    2016-03-01

    Knowledge of human leukocyte antigen (HLA) allele frequencies is essential for bone marrow and kidney donor searches. The Romanian Caucasian population is heterogeneous and information on HLA polymorphism has not been well studied. We characterized the HLA genetic profile and allele frequencies of regional populations in Romania. HLA-A, B and DRB1 alleles were examined in 8252 individuals, belonging to the four main regions of Romania. The most common alleles found in the Romanian population are the following: HLA-A*01, A*02, A*03, A*11, A*24; HLA-B*18, B*35, B*44, B*51 and HLA-DRB1*01, DRB1*03, DRB1*07, DRB1*11, DRB1*13, DRB1*15, DRB1*16. More than half of the alleles are non-homogeneously spread in Romania. These results provide a starting point for future analyses of genetic heterogeneity in Romania. PMID:26711124

  15. Estimating Relatedness in the Presence of Null Alleles.

    PubMed

    Huang, Kang; Ritland, Kermit; Dunn, Derek W; Qi, Xiaoguang; Guo, Songtao; Li, Baoguo

    2016-01-01

    Studies of genetics and ecology often require estimates of relatedness coefficients based on genetic marker data. However, with the presence of null alleles, an observed genotype can represent one of several possible true genotypes. This results in biased estimates of relatedness. As the numbers of marker loci are often limited, loci with null alleles cannot be abandoned without substantial loss of statistical power. Here, we show how loci with null alleles can be incorporated into six estimators of relatedness (two novel). We evaluate the performance of various estimators before and after correction for null alleles. If the frequency of a null allele is <0.1, some estimators can be used directly without adjustment; if it is >0.5, the potency of estimation is too low and such a locus should be excluded. We make available a software package entitled PolyRelatedness v1.6, which enables researchers to optimize these estimators to best fit a particular data set.

  16. HLA Allele Frequencies in 5802 Koreans: Varied Allele Types Associated with SJS/TEN According to Culprit Drugs

    PubMed Central

    Park, Hye Jung; Kim, Young Joo; Kim, Dong Hyun; Kim, Junho; Park, Kyung Hee; Park, Jung-Won

    2016-01-01

    Purpose Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are very serious forms of drug-induced cutaneous adverse reaction. SJS/TEN induced by certain drug is well known to be associated with some human leukocyte antigen (HLA) gene type. We aimed to explore HLA allele frequencies and their association with SJS/TEN according to culprit drugs in Korea. Materials and Methods We enrolled 5802 subjects who had results of HLA typing test from August 2005 to July 2014. Total 28 SJS/TEN patients were categorized based on culprit drugs (allopurinol, lamotrigine, carbamazepine) and identified the presence of HLA-B*58:01, HLA-B*44:03, HLA-B*15:02, and HLA-A*31:01. Results HLA-A*24:02 (20.5%), HLA-B*44:03 (10.0%), and HLA-Cw*01:02 (17.1%) were the most frequent type in HLA-A, -B, and -C genes, respectively. Allele frequencies of HLA-B*58:01, HLA-B*44:03, HLA-A*31:01, and HLA-B*15:02 were 7.0%, 10.0%, 5.0%, and 0.3%, respectively. In 958 allopurinol users, 9 subjects (0.9%) were diagnosed with SJS/TEN. Among them, 8 subjects possessed HLA-B*58:01 allele. SJS/TEN induced by allopurinol was more frequently developed in subjects with HLA-B*58:01 than in subjects without it [odds ratio: 57.4; confidence interval (CI) 7.12-463.50; p<0.001]. Allopurinol treatment, based on screening by HLA-B*58:01 genotyping, could be more cost-effective than that not based on screening. HLA-B*44:03 may be associated with lamotrigine-induced SJS/TEN (odds ratio: 12.75; CI 1.03-157.14; p=0.053). Among carbamazepine users, only two patients experienced SJS/TEN and possessed neither HLA-B*15:02 nor HLA-A*31:03. Conclusion HLA gene frequencies varied in Korea. Screening of HLA-B*58:01 before the use of allopurinol might be needed to anticipate probability of SJS/TEN. PMID:26632391

  17. Mining the human phenome using allelic scores that index biological intermediates.

    PubMed

    Evans, David M; Brion, Marie Jo A; Paternoster, Lavinia; Kemp, John P; McMahon, George; Munafò, Marcus; Whitfield, John B; Medland, Sarah E; Montgomery, Grant W; Timpson, Nicholas J; St Pourcain, Beate; Lawlor, Debbie A; Martin, Nicholas G; Dehghan, Abbas; Hirschhorn, Joel; Smith, George Davey

    2013-10-01

    It is common practice in genome-wide association studies (GWAS) to focus on the relationship between disease risk and genetic variants one marker at a time. When relevant genes are identified it is often possible to implicate biological intermediates and pathways likely to be involved in disease aetiology. However, single genetic variants typically explain small amounts of disease risk. Our idea is to construct allelic scores that explain greater proportions of the variance in biological intermediates, and subsequently use these scores to data mine GWAS. To investigate the approach's properties, we indexed three biological intermediates where the results of large GWAS meta-analyses were available: body mass index, C-reactive protein and low density lipoprotein levels. We generated allelic scores in the Avon Longitudinal Study of Parents and Children, and in publicly available data from the first Wellcome Trust Case Control Consortium. We compared the explanatory ability of allelic scores in terms of their capacity to proxy for the intermediate of interest, and the extent to which they associated with disease. We found that allelic scores derived from known variants and allelic scores derived from hundreds of thousands of genetic markers explained significant portions of the variance in biological intermediates of interest, and many of these scores showed expected correlations with disease. Genome-wide allelic scores however tended to lack specificity suggesting that they should be used with caution and perhaps only to proxy biological intermediates for which there are no known individual variants. Power calculations confirm the feasibility of extending our strategy to the analysis of tens of thousands of molecular phenotypes in large genome-wide meta-analyses. We conclude that our method represents a simple way in which potentially tens of thousands of molecular phenotypes could be screened for causal relationships with disease without having to expensively measure

  18. Association of human leukocyte antigen DQB1 and DRB1 alleles with chronic hepatitis B

    PubMed Central

    Doganay, Levent; Fejzullahu, Arta; Katrinli, Seyma; Yilmaz Enc, Feruze; Ozturk, Oguzhan; Colak, Yasar; Ulasoglu, Celal; Tuncer, Ilyas; Dinler Doganay, Gizem

    2014-01-01

    AIM: To investigate the effect of human leukocyte antigen (HLA) DRB1 and DQB1 alleles on the inactive and advanced stages of chronic hepatitis B. METHODS: Patient records at a single institution’s hepatology clinic were reviewed. Demographic data, laboratory results, endoscopy results, virological parameters, biopsy scores and treatment statuses were recorded. In total, 355 patients were eligible for the study, of whom 226 (63.7%) were male. Overall, 82 (23.1%) were hepatitis B early antigen (HBeAg) positive, 87 (24.5%) had cirrhosis, and 66 (18.6%) had inactive disease. The presence of DQB1 and DRB1 alleles was determined by polymerase chain reaction with sequence-specific primers. The distribution of the genotyped alleles among patients with cirrhosis and patients with chronic active hepatitis was analyzed. RESULTS: The most frequent HLA DQB1 allele was DQB1*03:01 (48.2%), and the most frequent HLA DRB1 allele was DRB1*13/14 (51.8%). DQB1*05:01 was more frequent in patients with active disease than in inactive patients (27% vs 9.1%; P = 0.002, Pc = 0.026). DRB1*07 was rare in patients with cirrhosis compared with non-cirrhotics (3.4% vs 16%; P = 0.002, Pc = 0.022). Older age (P < 0.001) and male gender (P = 0.008) were the other factors that affected the presence of cirrhosis. In a multivariate logistic regression analysis, DRB1*07 remained a significant negative predictor of cirrhosis (P = 0.015). A bioinformatics analysis revealed that a polymorphic amino acid sequence in DRB1*07 may alter interaction with the T-cell recognition site. CONCLUSION: This study demonstrates that HLA alleles may influence cirrhosis development and disease activity in Turkish chronic hepatitis B patients. PMID:25009391

  19. Mining the human phenome using allelic scores that index biological intermediates.

    PubMed

    Evans, David M; Brion, Marie Jo A; Paternoster, Lavinia; Kemp, John P; McMahon, George; Munafò, Marcus; Whitfield, John B; Medland, Sarah E; Montgomery, Grant W; Timpson, Nicholas J; St Pourcain, Beate; Lawlor, Debbie A; Martin, Nicholas G; Dehghan, Abbas; Hirschhorn, Joel; Smith, George Davey

    2013-10-01

    It is common practice in genome-wide association studies (GWAS) to focus on the relationship between disease risk and genetic variants one marker at a time. When relevant genes are identified it is often possible to implicate biological intermediates and pathways likely to be involved in disease aetiology. However, single genetic variants typically explain small amounts of disease risk. Our idea is to construct allelic scores that explain greater proportions of the variance in biological intermediates, and subsequently use these scores to data mine GWAS. To investigate the approach's properties, we indexed three biological intermediates where the results of large GWAS meta-analyses were available: body mass index, C-reactive protein and low density lipoprotein levels. We generated allelic scores in the Avon Longitudinal Study of Parents and Children, and in publicly available data from the first Wellcome Trust Case Control Consortium. We compared the explanatory ability of allelic scores in terms of their capacity to proxy for the intermediate of interest, and the extent to which they associated with disease. We found that allelic scores derived from known variants and allelic scores derived from hundreds of thousands of genetic markers explained significant portions of the variance in biological intermediates of interest, and many of these scores showed expected correlations with disease. Genome-wide allelic scores however tended to lack specificity suggesting that they should be used with caution and perhaps only to proxy biological intermediates for which there are no known individual variants. Power calculations confirm the feasibility of extending our strategy to the analysis of tens of thousands of molecular phenotypes in large genome-wide meta-analyses. We conclude that our method represents a simple way in which potentially tens of thousands of molecular phenotypes could be screened for causal relationships with disease without having to expensively measure

  20. Relation between minimum-error discrimination and optimum unambiguous discrimination

    SciTech Connect

    Qiu Daowen; Li Lvjun

    2010-09-15

    In this paper, we investigate the relationship between the minimum-error probability Q{sub E} of ambiguous discrimination and the optimal inconclusive probability Q{sub U} of unambiguous discrimination. It is known that for discriminating two states, the inequality Q{sub U{>=}}2Q{sub E} has been proved in the literature. The main technical results are as follows: (1) We show that, for discriminating more than two states, Q{sub U{>=}}2Q{sub E} may not hold again, but the infimum of Q{sub U}/Q{sub E} is 1, and there is no supremum of Q{sub U}/Q{sub E}, which implies that the failure probabilities of the two schemes for discriminating some states may be narrowly or widely gapped. (2) We derive two concrete formulas of the minimum-error probability Q{sub E} and the optimal inconclusive probability Q{sub U}, respectively, for ambiguous discrimination and unambiguous discrimination among arbitrary m simultaneously diagonalizable mixed quantum states with given prior probabilities. In addition, we show that Q{sub E} and Q{sub U} satisfy the relationship that Q{sub U{>=}}(m/m-1)Q{sub E}.