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Article

Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits.

Nature communications - 2 Mar 2018

Wu Yang, Zeng Jian, Zhang Futao, Zhu Zhihong, Qi Ting, Zheng Zhili, Lloyd-Jones Luke R, Marioni Riccardo E, Martin Nicholas G, Montgomery Grant W, Deary Ian J, Wray Naomi R, Visscher Peter M, McRae Allan F, Yang Jian

Abstract excerpt

The identification of genes and regulatory elements underlying the associations discovered by GWAS is essential to understanding the aetiology of complex traits (including diseases). Here, we demonstrate an analytical paradigm of prioritizing genes and regulatory elements at GWAS loci for follow-up functional studies. We perform an integrative analysis that uses summary-level SNP data from multi-omics studies to...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29500431
DOI: 10.1038/s41467-018-03371-0
PMCID: PMC5834629

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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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