A Mixed-Effects Model for Powerful Association Tests in Integrative Functional Genomics.

ABSTRACT: Genome-wide association studies (GWASs) have successfully identified thousands of genetic variants for many complex diseases; however, these variants explain only a small fraction of the heritability. Recently, genetic association studies that leverage external transcriptome data have received much attention and shown promise for discovering novel variants. One such approach, PrediXcan, is to use predicted gene expression through genetic regulation. However, there are limitations in this approach. The predicted gene expression may be biased, resulting from regularized regression applied to moderately sample-sized reference studies. Further, some variants can individually influence disease risk through alternative functional mechanisms besides expression. Thus, testing only the association

SUBMITTER: Su YR 

PROVIDER: S-EPMC5986723 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature