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Quantifying the underestimation of relative risks from genome-wide association studies

Abstract:

Genome-wide association studies (GWAS) have identified hundreds of associated loci across many common diseases. Most risk variants identified by GWAS will merely be tags for as-yet-unknown causal variants. It is therefore possible that identification of the causal variant, by fine mapping, will identify alleles with larger effects on genetic risk than those currently estimated from GWAS replication studies. We show that under plausible assumptions, whilst the majority of the per-allele relati...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1371/journal.pgen.1001337

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Institution:
University of Oxford
Department:
Medical Sciences Division - Clinical Medicine,Nuffield Department of - Wellcome Trust Centre for Human Genetics
Role:
Author
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Institution:
University of Oxford
Department:
Mathematical,Physical & Life Sciences Division - Statistics
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Medical Sciences Division - Clinical Medicine,Nuffield Department of - Wellcome Trust Centre for Human Genetics
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Mathematical,Physical & Life Sciences Division - Statistics
Role:
Author
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Funding agency for:
Chris Spencer
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Funding agency for:
Eliana Hechter
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Genetics Journal website
Volume:
7
Issue:
3
Pages:
Article: e1001337
Publication date:
2011-03-05
DOI:
EISSN:
1553-7404
ISSN:
1553-7390
URN:
uuid:ed793007-7def-4de3-b8e4-90916fb21eb8
Local pid:
ora:5177

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