Confounding and heterogeneity in genetic association studies with admixed populations

American Journal of Epidemiology

Volumn 177, Issue 4, 2013, Pages 351-360

  Liu, Jinghua ^a   Lewinger, Juan Pablo ^a   Gilliland, Frank D ^a   Gauderman, W James ^a   Conti, David V ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

confounding; genetic association studies; genome wide association studies; heterogeneity; linkage disequilibrium; population stratification

Indexed keywords

ASTHMA; CHILD HEALTH; GENETIC STRUCTURE; GENOME; HEALTH RISK; HETEROGENEITY; POLYMORPHISM; RESEARCH WORK;

ADMIXED POPULATION; ARTICLE; CHILD HEALTH; GENE LINKAGE DISEQUILIBRIUM; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC EPIDEMIOLOGY; GENETIC HETEROGENEITY; HEREDITY; HUMAN; POPULATION; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM;

ALLELES; ASTHMA; CALIFORNIA; CASE-CONTROL STUDIES; CHILD; COMPUTER SIMULATION; CONFOUNDING FACTORS (EPIDEMIOLOGY); EUROPEAN CONTINENTAL ANCESTRY GROUP; GENETIC HETEROGENEITY; GENETIC PREDISPOSITION TO DISEASE; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HISPANIC AMERICANS; HUMANS; LINEAR MODELS; LINKAGE DISEQUILIBRIUM; LOGISTIC MODELS; MATHEMATICAL COMPUTING; MULTIVARIATE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE;

CALIFORNIA; UNITED STATES;

EID: 84873641956     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kws234     Document Type: Article

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