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Bayesian refinement of association signals for 14 loci in 3 common diseases

Bayesian refinement of association signals for 14 loci in 3 common diseases

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3791416

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

Peter Donnelly and colleagues report fine mapping of 14 susceptibility loci in 8,000 cases and controls for type 2 diabetes, coronary artery disease and Graves' disease. They apply a new Bayesian method for analysis of fine-mapping data sets, using this to define sets of SNPs likely to contain causal disease-associated variants.
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Alternative Titles

Full title

Bayesian refinement of association signals for 14 loci in 3 common diseases

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3791416

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3791416

Other Identifiers

ISSN

1061-4036

E-ISSN

1546-1718

DOI

10.1038/ng.2435

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