Abstract:
: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.
journal_name
Ann Hum Genetjournal_title
Annals of human geneticsauthors
Mukhopadhyay S,George V,Xu Hdoi
10.1111/j.1469-1809.2009.00548.xsubject
Has Abstractpub_date
2010-01-01 00:00:00pages
88-96issue
1eissn
0003-4800issn
1469-1809pii
AHG548journal_volume
74pub_type
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