Pleiotropy and principal components of heritability combine to increase power for association analysis

Genetic Epidemiology

Volumn 32, Issue 1, 2008, Pages 9-19

  Klei, Lambertus ^a   Luca, Diana ^b   Devlin, B ^a   Roeder, Kathryn ^b  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Dimension reduction; Heritability; Multiple phenotypes; Polygenic effects; Whole genome association test

Indexed keywords

ARTICLE; GENOTYPE PHENOTYPE CORRELATION; HERITABILITY; MOLECULAR GENETICS; PLEIOTROPY; PRINCIPAL COMPONENT ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; THEORETICAL MODEL;

COMPUTER SIMULATION; FACTOR ANALYSIS, STATISTICAL; GENETIC MARKERS; GENETIC PREDISPOSITION TO DISEASE; HUMANS; MODELS, STATISTICAL; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT, HERITABLE;

EID: 38149020685     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20257     Document Type: Article

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