Detecting epistasis in human complex traits

Nature Reviews Genetics

Volumn 15, Issue 11, 2014, Pages 722-733

  Wei, Wen Hua ^a,b   Hemani, Gibran ^c,d   Haley, Chris S ^b,e  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c UNIVERSITY OF BRISTOL   (United Kingdom)

^d UNIVERSITY OF QUEENSLAND   (Australia)

^e UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BIOLOGICAL MODEL; DATA ANALYSIS; EPISTASIS; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENETIC TRAIT; GENETIC VARIABILITY; HAPLOTYPE; HERITABILITY; HUMAN; HYPOTHESIS; METHODOLOGY; MULTIFACTOR DIMENSIONALITY REDUCTION; PHENOTYPE; PREDICTION; QUANTITATIVE TRAIT; REGRESSION ANALYSIS; REVIEW; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; GENETICS; GENOTYPE; HUMAN GENOME; PROCEDURES; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; EPISTASIS, GENETIC; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS; LINKAGE DISEQUILIBRIUM; MODELS, BIOLOGICAL; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84908162497     PISSN: 14710056     EISSN: 14710064     Source Type: Journal    
DOI: 10.1038/nrg3747     Document Type: Review

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