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Article

A Bayesian hierarchically structured prior for gene-based association testing with multiple traits in genome-wide association studies.

Genetic epidemiology - 1 Feb 2022

Yang Yi, Basu Saonli, Zhang Lin

Abstract excerpt

Although genome-wide association studies (GWAS) often collect data on multiple correlated traits for complex diseases, conventional gene-based analysis is usually univariate, and therefore, treating traits as uncorrelated. Multivariate analysis of multiple correlated traits can potentially increase the power to detect genes that affect some or all of these traits. In this study, we propose the multivariate...

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Identifiers

PMID: 34787916
DOI: 10.1002/gepi.22437
PMCID: PMC8795481

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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