Volume 3 Supplement 7

Genetic Analysis Workshop 16


Genetic Analysis Workshop 16. Go to conference site.

St Louis, MO, USA

17-20 September 2008

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  1. Proceedings

    Data for Genetic Analysis Workshop 16 Problem 1, association analysis of rheumatoid arthritis data

    For Genetic Analysis Workshop 16 Problem 1, we provided data for genome-wide association analysis of rheumatoid arthritis. Single-nucleotide polymorphism (SNP) genotype data were provided for 868 cases and 119...

    Christopher I Amos, Wei Vivien Chen, Michael F Seldin, Elaine F Remmers, Kimberly E Taylor, Lindsey A Criswell, Annette T Lee, Robert M Plenge, Daniel L Kastner and Peter K Gregersen

    BMC Proceedings 2009 3(Suppl 7):S2

    Published on: 15 December 2009

  2. Proceedings

    Genetics Analysis Workshop 16 Problem 2: the Framingham Heart Study data

    Genetic Analysis Workshop 16 (GAW16) Problem 2 presented data from the Framingham Heart Study (FHS), an observational, prospective study of risk factors for cardiovascular disease begun in 1948. Data have been...

    L Adrienne Cupples, Nancy Heard-Costa, Monica Lee and Larry D Atwood

    BMC Proceedings 2009 3(Suppl 7):S3

    Published on: 15 December 2009

  3. Proceedings

    The Genetic Analysis Workshop 16 Problem 3: simulation of heritable longitudinal cardiovascular phenotypes based on actual genome-wide single-nucleotide polymorphisms in the Framingham Heart Study

    The Genetic Analysis Workshop (GAW) 16 Problem 3 comprises simulated phenotypes emulating the lipid domain and its contribution to cardiovascular disease risk. For each replication there were 6,476 subjects in...

    Aldi T Kraja, Robert Culverhouse, E Warwick Daw, Jun Wu, Andrew Van Brunt, Michael A Province and Ingrid B Borecki

    BMC Proceedings 2009 3(Suppl 7):S4

    Published on: 15 December 2009

  4. Proceedings

    Assessment of genotype imputation methods

    Several methods have been proposed to impute genotypes at untyped markers using observed genotypes and genetic data from a reference panel. We used the Genetic Analysis Workshop 16 rheumatoid arthritis case-co...

    Joanna M Biernacka, Rui Tang, Jia Li, Shannon K McDonnell, Kari G Rabe, Jason P Sinnwell, David N Rider, Mariza de Andrade, Ellen L Goode and Brooke L Fridley

    BMC Proceedings 2009 3(Suppl 7):S5

    Published on: 15 December 2009

  5. Proceedings

    Single versus multiple imputation for genotypic data

    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...

    Brooke L Fridley, Shannon K McDonnell, Kari G Rabe, Rui Tang, Joanna M Biernacka, Jason P Sinnwell, David N Rider and Ellen L Goode

    BMC Proceedings 2009 3(Suppl 7):S7

    Published on: 15 December 2009

  6. Proceedings

    Application of Bayesian classification with singular value decomposition method in genome-wide association studies

    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...

    Soonil Kwon, Jinrui Cui, Shannon L Rhodes, Donald Tsiang, Jerome I Rotter and Xiuqing Guo

    BMC Proceedings 2009 3(Suppl 7):S9

    Published on: 15 December 2009

  7. Proceedings

    Representation of genetic association via attributable familial relative risks in order to identify polymorphisms functionally relevant to rheumatoid arthritis

    The results from association studies are usually summarized by a measure of evidence of association (frequentist or Bayesian probability values) that does not directly reflect the impact of the detected signal...

    Justo Lorenzo Bermejo, Christine Fischer, Anke Schulz, Nadine Cremer, Rebecca Hein, Lars Beckmann, Jenny Chang-Claude and Kari Hemminki

    BMC Proceedings 2009 3(Suppl 7):S10

    Published on: 15 December 2009

  8. Proceedings

    Effect of population stratification on the identification of significant single-nucleotide polymorphisms in genome-wide association studies

    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...

    Sara M Sarasua, Julianne S Collins, Dhelia M Williamson, Glen A Satten and Andrew S Allen

    BMC Proceedings 2009 3(Suppl 7):S13

    Published on: 15 December 2009

  9. Proceedings

    Case-control genome-wide association study of rheumatoid arthritis from Genetic Analysis Workshop 16 using penalized orthogonal-components regression-linear discriminant analysis

    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...

    Min Zhang, Yanzhu Lin, Libo Wang, Vitara Pungpapong, James C Fleet and Dabao Zhang

    BMC Proceedings 2009 3(Suppl 7):S17

    Published on: 15 December 2009

  10. Proceedings

    A quantile-based method for association mapping of quantitative phenotypes: an application to rheumatoid arthritis phenotypes

    Genetic association of population-based quantitative trait data has traditionally been analyzed using analysis of variance (ANOVA). However, violations of certain statistical assumptions may lead to false-posi...

    Saurabh Ghosh, Krishna Rao Sanapala, Abhik Ghosh and Sujatro Chakladar

    BMC Proceedings 2009 3(Suppl 7):S18

    Published on: 15 December 2009

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