A general framework for association tests with multivariate traits in large-scale genomics studies

Genetic Epidemiology

Volumn 37, Issue 8, 2013, Pages 759-767

  He, Qianchuan ^a   Avery, Christy L ^b   Lin, Dan Yu ^b  

^a Fred Hutchinson Cancer Research Center   (United States)

^b IL   (United States)

Author keywords

Binary traits; Genome wide association studies; Meta analysis; Multivariate tests; Pleiotropy; Quantitative traits; Score statistics

Indexed keywords

HIGH DENSITY LIPOPROTEIN; LOW DENSITY LIPOPROTEIN; TRIACYLGLYCEROL;

ARTICLE; CONCEPTUAL FRAMEWORK; CORONARY ARTERY DISEASE; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENETIC TRAIT; GENETIC VARIABILITY; GENOMICS; GENOTYPE ENVIRONMENT INTERACTION; HEREDITY; HUMAN; META ANALYSIS (TOPIC); METABOLIC SYNDROME X; PRINCIPAL COMPONENT ANALYSIS; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; TRIACYLGLYCEROL BLOOD LEVEL;

BINARY TRAITS; GENOME-WIDE ASSOCIATION STUDIES; META-ANALYSIS; MULTIVARIATE TESTS; PLEIOTROPY; QUANTITATIVE TRAITS; SCORE STATISTICS;

CARDIOVASCULAR DISEASES; COHORT STUDIES; FAMILY HEALTH; GENETIC LOCI; GENETIC VARIATION; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; LINEAR MODELS; LINKAGE DISEQUILIBRIUM; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE; RESEARCH DESIGN;

EID: 84887612673     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21759     Document Type: Article

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