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

Siuli Mukhopadhyay, Varghese George, Hongyan Xu

Research output: Contribution to journalArticle

6 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)88-96
Number of pages9
JournalAnnals of Human Genetics
Volume74
Issue number1
DOIs
StatePublished - Jan 1 2010

Keywords

  • Complex traits
  • Parallel genetic algorithm
  • QTL

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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