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

Abstract:

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 estimated from genotype data in two independent cohorts. We identified 36 loci w...

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Publication status:
Published

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Publisher copy:
10.1038/ng.2213

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
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Journal:
Nature genetics
Volume:
44
Issue:
4
Pages:
369-S3
Publication date:
2012-04-01
DOI:
EISSN:
1546-1718
ISSN:
1061-4036
Source identifiers:
321205

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