Maximizing the power of principal-component analysis of correlated phenotypes in genome-wide association studies

American Journal of Human Genetics

Volumn 94, Issue 5, 2014, Pages 662-676

  Aschard, Hugues ^a   Vilhjálmsson, Bjarni J ^a,b   Greliche, Nicolas ^c,d,e   Morange, Pierre Emmanuel ^f   Trégouët, David Alexandre ^c,d,e   Kraft, Peter ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^c SORBONNE UNIVERSITÉ   (France)

^d INSERM   (France)

^e Institute of Cardiometabolism and Nutrition (ICAN)   (France)

^f AIX MARSEILLE UNIVERSITY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; GENETIC ASSOCIATION; GENETIC CORRELATION; GENETIC VARIABILITY; GENOTYPE; HEREDITY; HUMAN; PHENOTYPE; PLEIOTROPY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUANTITATIVE TRAIT; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; VEIN THROMBOSIS;

GENOME-WIDE ASSOCIATION STUDY; HUMANS; MODELS, GENETIC; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE TRAIT, HERITABLE; VENOUS THROMBOSIS;

EID: 84899972622     PISSN: 00029297     EISSN: 15376605     Source Type: Journal    
DOI: 10.1016/j.ajhg.2014.03.016     Document Type: Article

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