A flexible bayesian model for studying gene-environment interaction

PLoS Genetics

Volumn 8, Issue 1, 2012, Pages

  Yu, Kai ^a   Wacholder, Sholom ^a   Wheeler, William ^b   Wang, Zhaoming ^a,c   Caporaso, Neil ^a   Landi, Maria Teresa ^a   Liang, Faming ^d  

^a NATIONAL CANCER INSTITUTE   (United States)

^b INFORMATION MANAGEMENT SERVICES INC   (United States)

^c SAIC FREDERICK INC   (United States)

^d TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; CANCER RISK; CONTROLLED STUDY; GENE IDENTIFICATION; GENE LOCUS; GENETIC ASSOCIATION; GENETIC MARKER; GENETIC RISK; GENETIC VARIABILITY; GENOTYPE; GENOTYPE ENVIRONMENT INTERACTION; HUMAN; LUNG CANCER; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; NICOTINIC ACETYLCHOLINE RECEPTOR GENE; RECEPTOR GENE; SINGLE NUCLEOTIDE POLYMORPHISM; SMOKING; ALGORITHM; CHROMOSOME 15; COMPUTER SIMULATION; DISEASES; GENETICS; LUNG TUMOR; MONTE CARLO METHOD; PROBABILITY; RISK FACTOR; THEORETICAL MODEL;

NICOTINIC RECEPTOR;

ALGORITHMS; BAYES THEOREM; CHROMOSOMES, HUMAN, PAIR 15; COMPUTER SIMULATION; DISEASE; GENE-ENVIRONMENT INTERACTION; GENETIC ASSOCIATION STUDIES; GENETIC MARKERS; GENOTYPE; HUMANS; LUNG NEOPLASMS; MARKOV CHAINS; MODELS, THEORETICAL; MONTE CARLO METHOD; POLYMORPHISM, SINGLE NUCLEOTIDE; RECEPTORS, NICOTINIC; RISK FACTORS; SMOKING;

EID: 84857465057     PISSN: 15537390     EISSN: 15537404     Source Type: Journal    
DOI: 10.1371/journal.pgen.1002482     Document Type: Article

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