Multiple SNP Set Analysis for Genome-Wide Association Studies Through Bayesian Latent Variable Selection-Reference-Cited by-同舟云学术

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Multiple SNP Set Analysis for Genome-Wide Association Studies Through Bayesian Latent Variable Selection

Published:2015-10-30 Issue:8 Volume:39 Page:664-677
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Lu Zhao-Hua¹,Zhu Hongtu¹²,Knickmeyer Rebecca C.³,Sullivan Patrick F.⁴,Williams Stephanie N.⁴,Zou Fei¹,

Affiliation:

1. Department of Biostatistics; University of North Carolina at Chapel Hill; North Carolina United States of America

2. Biomedical Research Imaging Center; University of North Carolina at Chapel Hill; North Carolina United States of America

3. Department of Psychiatry; University of North Carolina at Chapel Hill; North Carolina United States of America

4. Department of Genetics; University of North Carolina at Chapel Hill; North Carolina United States of America

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/gepi.21932/fullpdf

Reference83 articles.

1. Bayesian analysis of binary and polychotomous response data;Albert;J Am Stat Assoc,1993

2. Growth arrest-specific gene 6 (Gas6)/adhesion related kinase (Ark) signaling promotes gonadotropin-releasing hormone neuronal survival via extracellular signal-regulated kinase (ERK) and Akt;Allen;Mol Endocrinol,1999

3. Comparisons of multi-marker association methods to detect association between a candidate region and disease;Ballard;Genet Epidemiol,2010

4. Optimal predictive model selection;Barbieri;Ann Stat,2004

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