title: 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.
authors.affiliation: Department of Mathematical Sciences, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan 49931, USA. zye@mtu.edu
authors.forename: Zhan
authors.initials: Z
authors.lastname: Ye
authors.forename: Elizabeth J
authors.initials: EJ
authors.lastname: Atkinson
authors.forename: Brooke L
authors.initials: BL
authors.lastname: Fridley
authors.forename: Mariza
authors.initials: M
authors.lastname: de Andrade