Variable selection method for quantitative trait analysis based on parallel genetic algorithm.

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 Genet

journal_title

Annals of human genetics

authors

Mukhopadhyay S,George V,Xu H

doi

10.1111/j.1469-1809.2009.00548.x

subject

Has Abstract

pub_date

2010-01-01 00:00:00

pages

88-96

issue

1

eissn

0003-4800

issn

1469-1809

pii

AHG548

journal_volume

74

pub_type

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