Adjusting for confounding due to population admixture when estimating the effect of candidate genes on quantitative traits

Qiong Yang, Daniel Rabinowitz, Carmen R. Isasi, Steven Shea

Research output: Contribution to journalArticle

16 Citations (Scopus)

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. Copyright (C) 2000 S. Karger AG, Basel.

Original languageEnglish (US)
Pages (from-to)227-233
Number of pages7
JournalHuman Heredity
Volume50
Issue number4
StatePublished - Apr 2000
Externally publishedYes

Fingerprint

Linear Models
Genotype
Population
Genes
Apolipoproteins E
LDL Cholesterol

Keywords

  • Disequilibrium
  • Linear model
  • Lipoprotein
  • Pedigree
  • Quantitative trait
  • Regression
  • Siblings
  • Transmission

ASJC Scopus subject areas

  • Genetics(clinical)

Cite this

Adjusting for confounding due to population admixture when estimating the effect of candidate genes on quantitative traits. / Yang, Qiong; Rabinowitz, Daniel; Isasi, Carmen R.; Shea, Steven.

In: Human Heredity, Vol. 50, No. 4, 04.2000, p. 227-233.

Research output: Contribution to journalArticle

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