Skip to main content

Articles

Page 61 of 71

  18. Authors: Joseph Landolph, Aruni DeSilva, Duy Mai, Jim K Lin and Jimmy Zheng
    Citation: BMC Proceedings 2010 4(Suppl 2):O6
    Content type: Oral presentation Published on:

    This article is part of a Supplement: Volume 4 Supplement 2

  22. We applied a range of genome-wide association (GWA) methods to map quantitative trait loci (QTL) in the simulated dataset provided by the QTLMAS2009 workshop to derive a comprehensive set of results. A Gompert...

    Authors: Georgia Hadjipavlou, Gib Hemani, Richard Leach, Bruno Louro, Javad Nadaf, Suzanne Rowe and Dirk-Jan de Koning
    Citation: BMC Proceedings 2010 4(Suppl 1):S11
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 4 Supplement 1

  23. New molecular technologies allow high throughput genotyping for QTL mapping with dense genetic maps. Therefore, the interest of linkage analysis models against linkage disequilibrium could be questioned. As th...

    Authors: Olivier Demeure, Nicola Bacciu, Olivier Filangi and Pascale Le Roy
    Citation: BMC Proceedings 2010 4(Suppl 1):S10
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 4 Supplement 1

  24. The simulated dataset of the 13th QTL-MAS workshop was analysed to i) detect QTL and ii) predict breeding values for animals without phenotypic information. Several parameterisations considering all SNP simultane...

    Authors: Roel F Veerkamp, Klara L Verbyla, Han A Mulder and Mario P L Calus
    Citation: BMC Proceedings 2010 4(Suppl 1):S9
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 4 Supplement 1

  25. The success of genome-wide selection (GS) approaches will depend crucially on the availability of efficient and easy-to-use computational tools. Therefore, approaches that can be implemented using mixed models...

    Authors: Torben Schulz-Streeck and Hans-Peter Piepho
    Citation: BMC Proceedings 2010 4(Suppl 1):S8
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 4 Supplement 1

  26. The aim was to predict breeding values of non-phenotyped individuals based on a dataset prepared for the 13th QTL-MAS Workshop in Wageningen.

    Authors: Sebastian Mucha, Anna Wolc and Tomasz Strabel
    Citation: BMC Proceedings 2010 4(Suppl 1):S7
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 4 Supplement 1

  27. Bayesian approaches for predicting genomic breeding values (GEBV) have been proposed that allow for different variances for individual markers resulting in a shrinkage procedure that uses prior information to ...

    Authors: Matthew A Cleveland, Selma Forni, Nader Deeb and Christian Maltecca
    Citation: BMC Proceedings 2010 4(Suppl 1):S6
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 4 Supplement 1

  28. Genomic selection describes a selection strategy based on genomic estimated breeding values (GEBV) predicted from dense genetic markers such as single nucleotide polymorphism (SNP) data. Different Bayesian mod...

    Authors: Klara L Verbyla, Philip J Bowman, Ben J Hayes and Michael E Goddard
    Citation: BMC Proceedings 2010 4(Suppl 1):S5
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 4 Supplement 1

  29. We used the Gompertz growth curve to model a simulated longitudinal dataset provided by the QTLMAS2009 workshop and applied genomic evaluation to the derived model parameters and to a model-predicted trait value.

    Authors: Ricardo Pong-Wong and Georgia Hadjipavlou
    Citation: BMC Proceedings 2010 4(Suppl 1):S4
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 4 Supplement 1

  30. The simulation of the data for the QTLMAS 2009 Workshop is described. Objective was to simulate observations from a growth curve which was influenced by a number of QTL.

    Authors: Albart Coster, John W M Bastiaansen, Mario P L Calus, Chris Maliepaard and Marco C A M Bink
    Citation: BMC Proceedings 2010 4(Suppl 1):S3
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 4 Supplement 1

  31. Five participants of the QTL-MAS 2009 workshop applied QTL analyses to the workshop common data set which contained a time-related trait: cumulative yield. Underlying the trait were 18 QTLs for three parameter...

    Authors: Chris Maliepaard, John W M Bastiaansen, Mario P L Calus, Albart Coster and Marco C A M Bink
    Citation: BMC Proceedings 2010 4(Suppl 1):S2
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 4 Supplement 1

  32. Genomic selection, the use of markers across the whole genome, receives increasing amounts of attention and is having more and more impact on breeding programs. Development of statistical and computational met...

    Authors: John W M Bastiaansen, Marco C A M Bink, Albart Coster, Chris Maliepaard and Mario P L Calus
    Citation: BMC Proceedings 2010 4(Suppl 1):S1
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 4 Supplement 1

  33. With the rapid development of large-scale high-throughput genotyping technology, genome-wide association studies have become a popular approach to mapping genes underlying common human disorders. Some genes ar...

    Authors: Xiangjun Xiao, Yufang Zhang and Kai Wang
    Citation: BMC Proceedings 2009 3(Suppl 7):S134
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  34. Principal-component analysis (PCA) has been used for decades to summarize the human genetic variation across geographic regions and to infer population migration history. Reduction of spurious associations due...

    Authors: Jun Zhang, Chunhua Weng and Partha Niyogi
    Citation: BMC Proceedings 2009 3(Suppl 7):S110
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  35. Although identification of cryptic population stratification is necessary for case/control association analyses, it is also vital for linkage analyses and family-based association tests when founder genotypes ...

    Authors: Anthony L Hinrichs, Robert Culverhouse, Carol H Jin and Brian K Suarez
    Citation: BMC Proceedings 2009 3(Suppl 7):S106
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  36. We examine a Bayesian Markov-chain Monte Carlo framework for simultaneous segregation and linkage analysis in the simulated single-nucleotide polymorphism data provided for Genetic Analysis Workshop 16. We con...

    Authors: E Warwick Daw, Jevon Plunkett, Mary Feitosa, Xiaoyi Gao, Andrew Van Brunt, Duanduan Ma, Jacek Czajkowski, Michael A Province and Ingrid Borecki
    Citation: BMC Proceedings 2009 3(Suppl 7):S98
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  37. Our aim is to develop methods for mapping genes related to age at onset in general pedigrees. We propose two score tests, one derived from a gamma frailty model with pairwise likelihood and one derived from a ...

    Authors: Andrea Callegaro, Hae-Won Uh, Quinta Helmer and Jeanine J Houwing-Duistermaat
    Citation: BMC Proceedings 2009 3(Suppl 7):S97
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  38. We compare and contrast case-only designs for detecting gene × gene (G × G) interaction in rheumatoid arthritis (RA) using the genome-wide data provided by Genetic Analysis Workshop 16 Problem 1. Logistic as w...

    Authors: Geraldine M Clarke, Fredrik H Pettersson and Andrew P Morris
    Citation: BMC Proceedings 2009 3(Suppl 7):S73
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  39. Genome-wide association studies have become standard in genetic epidemiology. Analyzing hundreds of thousands of markers simultaneously imposes some challenges for statisticians. One issue is the problem of mu...

    Authors: Arne Schillert, Daniel F Schwarz, Maren Vens, Silke Szymczak, Inke R König and Andreas Ziegler
    Citation: BMC Proceedings 2009 3(Suppl 7):S58
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  40. In high-dimensional studies such as genome-wide association studies, the correction for multiple testing in order to control total type I error results in decreased power to detect modest effects. We present a...

    Authors: Elena Parkhomenko, David Tritchler, Mathieu Lemire, Pingzhao Hu and Joseph Beyene
    Citation: BMC Proceedings 2009 3(Suppl 7):S40
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  41. The Genetic Analysis Workshop 16 rheumatoid arthritis data include a set of 868 cases and 1194 controls genotyped at 545,080 single-nucleotide polymorphisms (SNPs) from the Illumina 550 k chip. We focus on inv...

    Authors: Wei Guo, Chin-yuan Liang and Shili Lin
    Citation: BMC Proceedings 2009 3(Suppl 7):S32
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  42. We present computationally simple association tests based on haplotype sharing that can be easily applied to genome-wide association studies, while allowing use of fast (but not likelihood-based) haplotyping a...

    Authors: Andrew S Allen and Glen A Satten
    Citation: BMC Proceedings 2009 3(Suppl 7):S30
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  43. The goal of this paper is to search for two-locus combinations that are jointly associated with rheumatoid arthritis using the data set of Genetic Analysis Workshop 16 Problem 1. We use a two-stage strategy to...

    Authors: Adan Niu, Zhaogong Zhang and Qiuying Sha
    Citation: BMC Proceedings 2009 3(Suppl 7):S26
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  44. The selective genotyping approach in quantitative genetics means genotyping only individuals with extreme phenotypes. This approach is considered an efficient way to perform gene mapping, and can be applied in...

    Authors: Chao Xing and Guan Xing
    Citation: BMC Proceedings 2009 3(Suppl 7):S23
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  45. Genome-wide associations between single-nucleotide polymorphisms and clinical traits were simultaneously conducted using penalized orthogonal-components regression. This method was developed to identify the ge...

    Authors: Yanzhu Lin, Min Zhang, Libo Wang, Vitara Pungpapong, James C Fleet and Dabao Zhang
    Citation: BMC Proceedings 2009 3(Suppl 7):S20
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  46. Currently, genome-wide association studies (GWAS) are conducted by collecting a massive number of SNPs (i.e., large p) for a relatively small number of individuals (i.e., small n) and associations are made betwee...

    Authors: Min Zhang, Yanzhu Lin, Libo Wang, Vitara Pungpapong, James C Fleet and Dabao Zhang
    Citation: BMC Proceedings 2009 3(Suppl 7):S17
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  47. The North American Rheumatoid Arthritis Consortium case-control study collected case participants across the United States and control participants from New York. More than 500,000 single-nucleotide polymorphi...

    Authors: Sara M Sarasua, Julianne S Collins, Dhelia M Williamson, Glen A Satten and Andrew S Allen
    Citation: BMC Proceedings 2009 3(Suppl 7):S13
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  48. The availability of very large number of markers by modern technology makes genome-wide association studies very popular. The usual approach is to test single-nucleotide polymorphisms (SNPs) one at a time for ...

    Authors: George Mathew, Hongyan Xu and Varghese George
    Citation: BMC Proceedings 2009 3(Suppl 7):S11
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  49. To analyze multiple single-nucleotide polymorphisms simultaneously when the number of markers is much larger than the number of studied individuals, as is the situation we have in genome-wide association studi...

    Authors: Soonil Kwon, Jinrui Cui, Shannon L Rhodes, Donald Tsiang, Jerome I Rotter and Xiuqing Guo
    Citation: BMC Proceedings 2009 3(Suppl 7):S9
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

  50. Due to the growing need to combine data across multiple studies and to impute untyped markers based on a reference sample, several analytical tools for imputation and analysis of missing genotypes have been de...

    Authors: Brooke L Fridley, Shannon K McDonnell, Kari G Rabe, Rui Tang, Joanna M Biernacka, Jason P Sinnwell, David N Rider and Ellen L Goode
    Citation: BMC Proceedings 2009 3(Suppl 7):S7
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 3 Supplement 7

Follow

Annual Journal Metrics

  • 2022 Citation Impact
    0.914 - SNIP (Source Normalized Impact per Paper)
    0.506 - SJR (SCImago Journal Rank)

    2023 Usage 
    640,615 downloads
    196 Altmetric mentions 

BMC Proceedings

ISSN: 1753-6561

Contact us