A Bayesian model for detection of high-order interactions among genetic variants in genome-wide association studies

BMC Genomics

Volumn 16, Issue 1, 2015, Pages

  Wang, Juexin ^a,b   Joshi, Trupti ^b   Valliyodan, Babu ^b   Shi, Haiying ^b   Liang, Yanchun ^a,b   Nguyen, Henry T ^b   Zhang, Jing ^c,d   Xu, Dong ^a,b  

^a JILIN UNIVERSITY   (China)

^b UNIVERSITY OF MISSOURI   (United States)

^c YALE UNIVERSITY   (United States)

^d GEORGIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; BAYESIAN HIGH ORDER INTERACTION TOOLKIT METHOD; CASE CONTROL STUDY; CONTROLLED STUDY; DATA ANALYSIS; EPISTASIS; GENETIC ASSOCIATION; GENETIC VARIABILITY; HUMAN; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MONTE CARLO METHOD; PHENOTYPE; PROBABILITY; PROCESS DEVELOPMENT; QUANTITATIVE ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; ALGORITHM; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; GENETIC VARIATION; GENETICS; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; MARKOV CHAIN; PROCEDURES; PROTEIN ANALYSIS; QUANTITATIVE TRAIT; SOFTWARE; SOYBEAN;

ALGORITHMS; BAYES THEOREM; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; EPISTASIS, GENETIC; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; MARKOV CHAINS; MODELS, GENETIC; MONTE CARLO METHOD; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; PROTEIN INTERACTION MAPPING; QUANTITATIVE TRAIT, HERITABLE; SOFTWARE; SOYBEANS;

EID: 84948765736     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/s12864-015-2217-6     Document Type: Article

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