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Article

Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies using multi-layer network.

Bioinformatics (Oxford, England) - 1 Dec 2023

Xie Hongjing, Cao Xuewei, Zhang Shuanglin, Sha Qiuying

Abstract excerpt

MOTIVATION: Genome-wide association studies is an essential tool for analyzing associations between phenotypes and single nucleotide polymorphisms (SNPs). Most of binary phenotypes in large biobanks are extremely unbalanced, which leads to inflated type I error rates for many widely used association tests for joint analysis of multiple phenotypes. In this article, we first propose a novel method to construct a...

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Identifiers

PMID: 37991852
DOI: 10.1093/bioinformatics/btad707
PMCID: PMC10697735

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