GATES: a rapid and powerful gene-based association test using extended Simes procedure.

ABSTRACT: The gene has been proposed as an attractive unit of analysis for association studies, but a simple yet valid, powerful, and sufficiently fast method of evaluating the statistical significance of all genes in large, genome-wide datasets has been lacking. Here we propose the use of an extended Simes test that integrates functional information and association evidence to combine the p values of the single nucleotide polymorphisms within a gene to obtain an overall p value for the association of the entire gene. Our computer simulations demonstrate that this test is more powerful than the SNP-based test, offers effective control of the type 1 error rate regardless of gene size and linkage-disequilibrium pattern among markers, and does not need permutation or simulation to evaluate empirical si

SUBMITTER: Li MX 

PROVIDER: S-EPMC3059433 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature