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Article

Leveraging existing GWAS summary data of genetically correlated and uncorrelated traits to improve power for a new GWAS.

Genetic epidemiology - 1 Oct 2020

Xue Haoran, Wu Chong, Pan Wei

Abstract excerpt

In spite of the tremendous success of genome-wide association studies (GWAS) in identifying genetic variants associated with complex traits and common diseases, many more are yet to be discovered. Hence, it is always desirable to improve the statistical power of GWAS. Paralleling with the intensive efforts of integrating GWAS with functional annotations or other omic data, we propose leveraging other published...

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Identifiers

PMID: 32677173
DOI: 10.1002/gepi.22333
PMCID: PMC7722071

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

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