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Adjusting for Confounding due to Population Admixture when Estimating the Effect of Candidate Genes on Quantitative Traits

Authors
  • Yang, Qiong
  • Rabinowitz, Daniel
  • Isasi, Carmen
  • Shea, Steven
Type
Published Article
Journal
Human Heredity
Publisher
S. Karger AG
Publication Date
Apr 28, 2000
Volume
50
Issue
4
Pages
227–233
Identifiers
DOI: 10.1159/000022920
PMID: 10782014
Source
Karger
Keywords
License
Green
External links

Abstract

When analyzing the relationship between allelic variability and traits, a potential source of confounding is population admixture. An approach to adjusting for potential confounding due to population admixture when estimating the influence of allelic variability at a candidate gene is presented. The approach involves augmenting linear regression models with additional regressors. Family genotype data are used to define the regressors, and inclusion of the regressors ensures that, even in the presence of population admixture, the estimates of the regression coefficients that parameterize the influence of allelic variability on the trait are unbiased. The approach is illustrated through an analysis of the influence of apolipoprotein E genotype on plasma low density lipoprotein cholesterol concentrations.

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