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Article

Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets.

Nature genetics - 1 May 2016

Zhu Zhihong, Zhang Futao, Hu Han, Bakshi Andrew, Robinson Matthew R, Powell Joseph E, Montgomery Grant W, Goddard Michael E, Wray Naomi R, Visscher Peter M, Yang Jian

Abstract excerpt

Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with human complex traits. However, the genes or functional DNA elements through which these variants exert their effects on the traits are often unknown. We propose a method (called SMR) that integrates summary-level data from GWAS with data from expression quantitative trait locus (eQTL) studies to identify genes...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 27019110
DOI: 10.1038/ng.3538

Genes

NMRAL1
SNX19
TRAF1

Provenance

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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