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Comparison of variable and model selection methods for genetic association studies using the GAW15 simulated data.

ABSTRACT: We compared and evaluated several variable and model selection methods using Bayesian and non-Bayesian approaches for three replicates of the Genetic Analysis Workshop 15 (GAW15) simulated data. In doing so, two phenotypes were utilized: rheumatoid arthritis (RA) affection status as a binary trait and IgM as a continuous measure. The analyses were performed adjusting for sex, age, and smoking status. For both outcomes, all the methods were comparable in finding the single-nucleotide polymorphisms (SNPs) generated to have a genetic signal. We successfully identified the susceptibility SNPs for RA in the HLA region (chromosome 6), and chromosome 18, and the susceptibility SNP for IgM on chromosome 11; however, many of the methods produced false-positive results.The answers to Problem 3 were requested and known to the authors.

SUBMITTER: Ye Z

PROVIDER: S-EPMC2367491 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature

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Comparison of variable and model selection methods for genetic association studies using the GAW15 simulated data.

Ye Zhan Z Atkinson Elizabeth J EJ Fridley Brooke L BL de Andrade Mariza M

BMC proceedings 20071218

We compared and evaluated several variable and model selection methods using Bayesian and non-Bayesian approaches for three replicates of the Genetic Analysis Workshop 15 (GAW15) simulated data. In doing so, two phenotypes were utilized: rheumatoid arthritis (RA) affection status as a binary trait and IgM as a continuous measure. The analyses were performed adjusting for sex, age, and smoking status. For both outcomes, all the methods were comparable in finding the single-nucleotide polymorphism ...[more]

PMID: 18466532

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