A Guide for Exploring Pleiotropic Associations in Genome-Wide Association Studies Using Summary Statistics.

doi:10.1002/sim.70717

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Article

A Guide for Exploring Pleiotropic Associations in Genome-Wide Association Studies Using Summary Statistics.

Statistics in medicine - 1 Sept 2026

Feng Christina Y, Sugier Pierre-Emmanuel, Zou Nan, Liquet Benoit

Abstract excerpt

Genome-wide association studies (GWAS) have shown that pleiotropy, whereby a single genetic variant or gene influences multiple traits, is common in complex human diseases. Detecting cross-phenotype associations from GWAS summary statistics remains challenging because of small effect sizes, extensive multiple testing, heterogeneous effects, and possible differences in effect direction across traits. Methods that...

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Breast Neoplasms
Data Interpretation, Statistical
Genetic Pleiotropy
Genome-Wide Association Study
Meta-Analysis as Topic
Models, Statistical

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Polymorphism, Single Nucleotide

Thyroid Neoplasms

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PMID: 42663118
DOI: 10.1002/sim.70717
PMCID: PMC13523090

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.