Integrate multiple traits to detect novel trait-gene association using GWAS summary data with an adaptive test approach.

ABSTRACT:

Motivation

Genetics hold great promise to precision medicine by tailoring treatment to the individual patient based on their genetic profiles. Toward this goal, many large-scale genome-wide association studies (GWAS) have been performed in the last decade to identify genetic variants associated with various traits and diseases. They have successfully identified tens of thousands of disease-related variants. However they have explained only a small proportion of the overall trait heritability for most traits and are of very limited clinical use. This is partly owing to the small effect sizes of most genetic variants, and the common practice of testing association between one trait and one genetic variant at a time in most GWAS, even when multiple related traits are often measured fo

SUBMITTER: Guo B 

PROVIDER: S-EPMC6596889 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature