Joint Testing of Genotype and Ancestry Association in Admixed Families

被引：36

作者：

Tang, Hua ^{[1
]}

Siegmund, David O. ^{[2
]}

Johnson, Nicholas A. ^{[2
]}

Romieu, Isabelle ^{[3
]}

London, Stephanie J. ^{[4
]}

机构：

[1] Stanford Univ, Dept Genet, Sch Med, Stanford, CA 94305 USA

[2] Stanford Univ, Dept Stat, Stanford, CA 94305 USA

[3] Natl Inst Publ Hlth, Cuernavaca, Morelos, Mexico

[4] NIEHS, Dept Hlth & Human Serv, Epidemiol Branch, NIH, Res Triangle Pk, NC USA

来源：

GENETIC EPIDEMIOLOGY | 2010年 / 34卷 / 08期

基金：

美国国家卫生研究院;

关键词：

TDT; genome-wide association studies; genetic admixture; DISEASE-GENE DISCOVERY; DENSITY ADMIXTURE MAP; LINKAGE DISEQUILIBRIUM; ETHNIC-DIFFERENCES; MAPPING GENES; POPULATIONS; UYGHURS; RISK;

D O I：

10.1002/gepi.20520

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Current genome-wide association studies (GWAS) often involve populations that have experienced recent genetic admixture. Genotype data generated from these studies can be used to test for association directly, as in a non-admixed population. As an alternative, these data can be used to infer chromosomal ancestry, and thus allow for admixture mapping. We quantify the contribution of allele-based and ancestry-based association testing under a family-design, and demonstrate that the two tests can provide non-redundant information. We propose a joint testing procedure, which efficiently integrates the two sources information. The efficiencies of the allele, ancestry and combined tests are compared in the context of a GWAS. We discuss the impact of population history and provide guidelines for future design and analysis of GWAS in admixed populations. Genet. Epidemiol. 34:783-791, 2010. (C) 2010 Wiley-Liss, Inc.

引用

页码：783 / 791

页数：9

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