Efficient multiple-trait association and estimation of genetic correlation using the matrix-variate linear mixed model

Genetics

Volumn 200, Issue 1, 2015, Pages 59-68

  Furlotte, Nicholas A ^a   Eskin, Eleazar ^b  

^a Department of Computer Science ^*  (India)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Association studies; Genetic correlation; Multivariate analysis

Indexed keywords

C REACTIVE PROTEIN; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LOW DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL;

ALTERNATIVE HYPOTHESIS; ARTICLE; CHROMOSOME 11; CONTROLLED STUDY; FINLAND; GENE EXPRESSION; GENE FREQUENCY; GENETIC ASSOCIATION; GENETIC CORRELATION; GENETIC TRAIT; GENETIC VARIABILITY; GENOTYPE; HEREDITY; HUMAN; MAXIMUM LIKELIHOOD METHOD; MULTIPLE TRAIT ASSOCIATION; NONHUMAN; NORMAL DISTRIBUTION; NULL HYPOTHESIS; PHENOTYPE; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM; VARIANCE; BIOLOGICAL MODEL; GENETIC ASSOCIATION STUDY; PROCEDURES; QUANTITATIVE TRAIT; STATISTICAL MODEL;

GENETIC ASSOCIATION STUDIES; HUMANS; LINEAR MODELS; MODELS, GENETIC; QUANTITATIVE TRAIT, HERITABLE;

EID: 84929018064     PISSN: 00166731     EISSN: 19432631     Source Type: Journal    
DOI: 10.1534/genetics.114.171447     Document Type: Article

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