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Article

Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits.

Nature genetics - 18 Mar 2012

Yang Jian, Ferreira Teresa, Morris Andrew P, Medland Sarah E, Madden Pamela A F, Heath Andrew C, Martin Nicholas G, Montgomery Grant W, Weedon Michael N, Loos Ruth J, Frayling Timothy M, McCarthy Mark I, Hirschhorn Joel N, Goddard Michael E, Visscher Peter M

Abstract excerpt

We present an approximate conditional and joint association analysis that can use summary-level statistics from a meta-analysis of genome-wide association studies (GWAS) and estimated linkage disequilibrium (LD) from a reference sample with individual-level genotype data. Using this method, we analyzed meta-analysis summary data from the GIANT Consortium for height and body mass index (BMI), with the LD structure...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 22426310
DOI: 10.1038/ng.2213
PMCID: PMC3593158

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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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