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A Bayesian Method for Detecting and Characterizing Allelic Heterogeneity and Boosting Signals in Genome-Wide Association Studies

Abstract:

The standard paradigm for the analysis of genome-wide association studies involves carrying out association tests at both typed and imputed SNPs. These methods will not be optimal for detecting the signal of association at SNPs that are not currently known or in regions where allelic heterogeneity occurs. We propose a novel association test, complementary to the SNP-based approaches, that attempts to extract further signals of association by explicitly modeling and estimating both unknown SNP...

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Publication status:
Published

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Publisher copy:
10.1214/09-STS311

Authors


Consortium, TWTCC More by this author
Donnelly, P More by this author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics, Clinical Medicine
Journal:
Statistical Science
Volume:
24
Issue:
4
Pages:
430-450
Publication date:
2010-10-22
DOI:
ISSN:
0883-4237
URN:
uuid:e56f628b-9391-4458-a4ac-fcfbc6b6a361
Source identifiers:
88503
Local pid:
pubs:88503
Language:
English
Keywords:

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