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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/12782

Title: Variable selection method for quantitative trait analysis based on parallel genetic algorithm
Authors: MUKHOPADHYAY, S
GEORGE, V
XU, HY
Keywords: genome-wide association
stochastic search
rheumatoid-arthritis
model selection
loci
designs
crosses
Issue Date: 2010
Publisher: WILEY-BLACKWELL PUBLISHING, INC
Citation: ANNALS OF HUMAN GENETICS, 74(), 88-96
Abstract: 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.
URI: 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
ISSN: 0003-4800
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