Subset-based method for cross-tissue transcriptome-wide association studies improves power and interpretability.

ABSTRACT: Integrating results from genome-wide association studies (GWASs) and studies of molecular phenotypes such as gene expressions can improve our understanding of the biological functions of trait-associated variants and can help prioritize candidate genes for downstream analysis. Using reference expression quantitative trait locus (eQTL) studies, several methods have been proposed to identify gene-trait associations, primarily based on gene expression imputation. To increase the statistical power by leveraging substantial eQTL sharing across tissues, meta-analysis methods aggregating such gene-based test results across multiple tissues or contexts have been developed as well. However, most existing meta-analysis methods have limited power to identify associations when the gene has weaker asso

SUBMITTER: Guo X 

PROVIDER: S-EPMC10999697 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature