A gene based combination test using GWAS summary data.

ABSTRACT:

Background

Gene-based association tests provide a useful alternative and complement to the usual single marker association tests, especially in genome-wide association studies (GWAS). The way of weighting for variants in a gene plays an important role in boosting the power of a gene-based association test. Appropriate weights can boost statistical power, especially when detecting genetic variants with weak effects on a trait. One major limitation of existing gene-based association tests lies in using weights that are predetermined biologically or empirically. This limitation often attenuates the power of a test. On another hand, effect sizes or directions of causal genetic variants in real data are usually unknown, driving a need for a flexible yet robust methodology of gene based

SUBMITTER: Zhang J 

PROVIDER: S-EPMC9811798 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature