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Identification of significant genes in genomics using Bayesian variable selection methods
Original Research
(3652) Views (930) Full article downloads
Authors: Eugene Lin, Lung-Cheng Huang
Published Date July 2008
Volume 2008:1 Pages 13 - 18
DOI: http://dx.doi.org/10.2147/AABC.S3624
Eugene Lin1, Lung-Cheng Huang2,3
1Vita Genomics, Inc., Wugu Shiang, Taipei, Taiwan; 2Department of Psychiatry, National Taiwan University Hospital Yun-Lin Branch, Taiwan; 3Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
Abstract: In the studies of genomics, it is essential to select a small number of genes that are more significant than the others for research ranging from candidate gene studies to genome-wide association studies. In this study, we proposed a Bayesian method for identifying the promising candidate genes that are significantly more influential than the others. We employed the framework of variable selection and a Gibbs sampling based technique to identify significant genes. The proposed approach was applied to a genomics study for persons with chronic fatigue syndrome. Our studies show that the proposed Bayesian methodology is effective for deriving models for genomic studies and for providing information on significant genes.
Keywords: Bayesian variable selection, genomics, Gibbs sampling, variable selection
Other articles by Dr Eugene Lin
A common variant in the adiponectin gene on weight loss and body composition under sibutramine therapy in obesityAssociation study of a brain-derived neurotrophic factor polymorphism and short-term antidepressant response in major depressive disorders
Modeling short-term antidepressant responsiveness with artificial neural networks
Pharmacogenomics of chronic hepatitis C therapy with genome-wide association studies
Pharmacogenomics of drug efficacy in the interferon treatment of chronic hepatitis C using classification algorithms
Pilot study of an association between a common variant in the non-muscle myosin heavy chain 9 (MYH9) gene and type 2 diabetic nephropathy in a Taiwanese population
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