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Article

Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits.

Genome medicine - 9 Aug 2016

Pavlides Jennifer M Whitehead, Zhu Zhihong, Gratten Jacob, McRae Allan F, Wray Naomi R, Yang Jian

Abstract excerpt

Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with complex traits and diseases. However, elucidating the causal genes underlying GWAS hits remains challenging. We applied the summary data-based Mendelian randomization (SMR) method to 28 GWAS summary datasets to identify genes whose expression levels were associated with traits and diseases due to pleiotropy or...

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Identifiers

PMID: 27506385
DOI: 10.1186/s13073-016-0338-4
PMCID: PMC4979185

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

Source receipt: pubmed, retrieved 6 Sept 2026.

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