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Article

A computationally efficient clustering linear combination approach to jointly analyze multiple phenotypes for GWAS.

PloS one - 1 Jan 2022

Wang Meida, Zhang Shuanglin, Sha Qiuying

Abstract excerpt

There has been an increasing interest in joint analysis of multiple phenotypes in genome-wide association studies (GWAS) because jointly analyzing multiple phenotypes may increase statistical power to detect genetic variants associated with complex diseases or traits. Recently, many statistical methods have been developed for joint analysis of multiple phenotypes in genetic association studies, including the...

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PMID: 35482827
DOI: 10.1371/journal.pone.0260911
PMCID: PMC9049312

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