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Article

Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies.

Genetic epidemiology - 1 Mar 2023

Xie Hongjing, Cao Xuewei, Zhang Shuanglin, Sha Qiuying

Abstract excerpt

In genome-wide association studies (GWAS) for thousands of phenotypes in biobanks, most binary phenotypes have substantially fewer cases than controls. Many widely used approaches for joint analysis of multiple phenotypes produce inflated type I error rates for such extremely unbalanced case-control phenotypes. In this research, we develop a method to jointly analyze multiple unbalanced case-control phenotypes to...

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PMID: 36691904
DOI: 10.1002/gepi.22513

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