Recommended joint and meta-analysis strategies for case-control association testing of single low-count variants.

ABSTRACT: In genome-wide association studies of binary traits, investigators typically use logistic regression to test common variants for disease association within studies, and combine association results across studies using meta-analysis. For common variants, logistic regression tests are well calibrated, and meta-analysis of study-specific association results is only slightly less powerful than joint analysis of the combined individual-level data. In recent sequencing and dense chip based association studies, investigators increasingly test low-frequency variants for disease association. In this paper, we seek to (1) identify the association test with maximal power among tests with well controlled type I error rate and (2) compare the relative power of joint and meta-analysis tests. We use anal

SUBMITTER: Ma C 

PROVIDER: S-EPMC4049324 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature