Bayesian statistical methods for genetic association studies View Full Text


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Article Info

DATE

2009-10

AUTHORS

Matthew Stephens, David J Balding

ABSTRACT

Bayesian statistical methods have recently made great inroads into many areas of science, and this advance is now extending to the assessment of association between genetic variants and disease or other phenotypes. We review these methods, focusing on single-SNP tests in genome-wide association studies. We discuss the advantages of the Bayesian approach over classical (frequentist) approaches in this setting and provide a tutorial on basic analysis steps, including practical guidelines for appropriate prior specification. We demonstrate the use of Bayesian methods for fine mapping in candidate regions, discuss meta-analyses and provide guidance for refereeing manuscripts that contain Bayesian analyses. More... »

PAGES

681-690

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nrg2615

DOI

http://dx.doi.org/10.1038/nrg2615

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1021006418

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19763151


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