Robust association tests under different genetic models, allowing for binary or quantitative traits and covariates

Behavior Genetics

Volumn 41, Issue 5, 2011, Pages 768-775

  So, Hon Cheong ^a   Sham, Pak C ^a,b,c  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Association; Genetic models; Genome wide association studies

Indexed keywords

ANALYTICAL ERROR; ARTICLE; BINARY TRAIT; BIOLOGICAL TRAIT; BOOTSTRAPPING; CALCULATION; COMPUTER PROGRAM; CONTROLLED STUDY; COVARIANCE; GENETIC ASSOCIATION; GENETIC MODEL; GENETIC VARIABILITY; GENOME ANALYSIS; QUANTITATIVE TRAIT; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; THEORETICAL STUDY;

ALGORITHMS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENES, DOMINANT; GENES, RECESSIVE; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; MODELS, THEORETICAL; POLYMORPHISM, SINGLE NUCLEOTIDE; SOFTWARE;

EID: 80054763270     PISSN: 00018244     EISSN: 15733297     Source Type: Journal    
DOI: 10.1007/s10519-011-9450-9     Document Type: Article

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