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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
 
Creator MUKHOPADHYAY, S
GEORGE, V
XU, HY
 
Subject genome-wide association
stochastic search
rheumatoid-arthritis
model selection
loci
designs
crosses
qtl
parallel genetic algorithm
complex traits
 
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.
 
Publisher WILEY-BLACKWELL PUBLISHING, INC
 
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
 
Type Article
 
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
 
Language en