Robust meta-analysis of biobank-based genome-wide association studies with unbalanced binary phenotypes.

ABSTRACT: With the availability of large-scale biobanks, genome-wide scale phenome-wide association studies are being instrumental in discovering novel genetic variants associated with clinical phenotypes. As increasing number of such association results from different biobanks become available, methods to meta-analyse those association results is of great interest. Because the binary phenotypes in biobank-based studies are mostly unbalanced in their case-control ratios, very few methods can provide well-calibrated tests for associations. For example, traditional Z-score-based meta-analysis often results in conservative or anticonservative Type I error rates in such unbalanced scenarios. We propose two meta-analysis strategies that can efficiently combine association results from biobank-based studi

SUBMITTER: Dey R 

PROVIDER: S-EPMC6559837 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature