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Article

Effect direction meta-analysis of GWAS identifies extreme, prevalent and shared pleiotropy in a large mammal.

Communications biology - 28 Feb 2020

Xiang Ruidong, van den Berg Irene, MacLeod Iona M, Daetwyler Hans D, Goddard Michael E

Abstract excerpt

In genome-wide association studies (GWAS), variants showing consistent effect directions across populations are considered as true discoveries. We model this information in an Effect Direction MEta-analysis (EDME) to quantify pleiotropy using GWAS of 34 Cholesky-decorrelated traits in 44,000+ cattle with sequence variants. The effect-direction agreement between independent bull and cow datasets was used to...

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Identifiers

PMID: 32111961
DOI: 10.1038/s42003-020-0823-6
PMCID: PMC7048789

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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