A goodness-of-fit association test for whole genome sequencing data.

ABSTRACT: Although many genetic factors have been successfully identified for human diseases in genome-wide association studies, genes discovered to date only account for a small proportion of overall genetic contributions to many complex traits. Association studies have difficulty in detecting the remaining true genetic variants that are either common variants with weak allelic effects, or rare variants that have strong allelic effects but are weakly associated at the population level. In this work, we applied a goodness-of-fit test for detecting sets of common and rare variants associated with quantitative or binary traits by using whole genome sequencing data. This test has been proved optimal for detecting weak and sparse signals in the literature, which fits the requirements for targeting the g

SUBMITTER: Yang L 

PROVIDER: S-EPMC4143767 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature