Variable selection method for quantitative trait analysis based on parallel genetic algorithm
DSpace at IIT Bombay
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Title |
Variable selection method for quantitative trait analysis based on parallel genetic algorithm
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Creator |
MUKHOPADHYAY, S
GEORGE, V XU, HY |
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Subject |
genome-wide association
stochastic search rheumatoid-arthritis model selection loci designs crosses qtl parallel genetic algorithm complex traits |
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Description |
P>Selection of important genetic and environmental factors is of strong interest in quantitative trait analyses. In this study, we use parallel genetic algorithm (PGA) to identify genetic and environmental factors in genetic association studies of complex human diseases. Our method can take account of both multiple markers across the genome and environmental factors, and also can be used to do fine mapping based on the results of haplotype analysis to select the markers that are associated with the quantitative traits. Using both simulated and real examples, we show that PGA is able to choose the variables correctly and is also an easy-to-use variable selection tool.
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Publisher |
WILEY-BLACKWELL PUBLISHING, INC
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Date |
2011-09-01T12:51:38Z
2011-12-26T12:59:39Z 2011-12-27T05:52:15Z 2011-09-01T12:51:38Z 2011-12-26T12:59:39Z 2011-12-27T05:52:15Z 2010 |
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Type |
Article
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Identifier |
ANNALS OF HUMAN GENETICS, 74(), 88-96
0003-4800 http://dx.doi.org/10.1111/j.1469-1809.2009.00548.x http://dspace.library.iitb.ac.in/xmlui/handle/10054/12782 http://hdl.handle.net/10054/12782 |
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Language |
en
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