Journal article
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
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(Version of record, pdf, 721.4KB)
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(Version of record, zip, 517.2KB)
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- Publisher copy:
- 10.1371/journal.pgen.1001337
Authors
Funding
+ "Wellcome Trust", "Commonwealth Scholarship"
More from this funder
Funding agency for:
Vukcevic, D
Bibliographic Details
- Publisher:
- Public Library of Science Publisher's website
- Journal:
- PLoS Genetics Journal website
- Volume:
- 7
- Issue:
- 3
- Article number:
- e1001337
- Publication date:
- 2011-03-01
- DOI:
- EISSN:
-
1553-7404
- ISSN:
-
1553-7390
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:ed793007-7def-4de3-b8e4-90916fb21eb8
- Local pid:
- ora:5177
- Deposit date:
- 2011-03-25
Related Items
Terms of use
- Copyright holder:
- Spencer et al
- Copyright date:
- 2011
- Notes:
- Citation: Spencer, C. et al. (2011). 'Quantifying the underestimation of relative risks from genome-wide association studies', PLoS Genetics 7(3), e1001337. [Available at http://www.plosgenetics.org]. © 2011 Spencer et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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