Quantifying the Underestimation of Relative Risks from Genome-Wide Association Studies: e1001337
Quantifying the Underestimation of Relative Risks from Genome-Wide Association Studies: e1001337
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San Francisco: Public Library of Science
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English
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San Francisco: Public Library of Science
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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 t...
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Quantifying the Underestimation of Relative Risks from Genome-Wide Association Studies: e1001337
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TN_cdi_proquest_journals_1313568278
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1313568278
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ISSN
1553-7390
E-ISSN
1553-7404
DOI
10.1371/journal.pgen.1001337