Bayesian variable selection for hierarchical gene–environment and gene–gene interactions

Human Genetics

Volumn 134, Issue 1, 2015, Pages 23-36

  Liu, Changlu ^a,b   Ma, Jianzhong ^c   Amos, Christopher I ^d  

^a UNIVERSITY OF TEXAS   (United States)

^b NOVARTIS PHARMA AG   (Switzerland)

^c UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

^d DARTMOUTH MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALLELE; ARTICLE; BAYES THEOREM; CANCER RISK; CONTROLLED STUDY; CUTANEOUS MELANOMA; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL FACTOR; FALSE POSITIVE RESULT; FEMALE; GENE FREQUENCY; GENE INTERACTION; GENOTYPE ENVIRONMENT INTERACTION; HEREDITY; HUMAN; LUNG ADENOCARCINOMA; MAJOR CLINICAL STUDY; MALE; SINGLE NUCLEOTIDE POLYMORPHISM; SQUAMOUS CELL LUNG CARCINOMA; BIOLOGICAL MODEL; CASE CONTROL STUDY; EPISTASIS; GENETICS; LUNG NEOPLASMS; MOLECULAR EPIDEMIOLOGY; STATISTICAL MODEL;

BAYES THEOREM; CASE-CONTROL STUDIES; EPISTASIS, GENETIC; GENE-ENVIRONMENT INTERACTION; HUMANS; LUNG NEOPLASMS; MODELS, GENETIC; MODELS, STATISTICAL; MOLECULAR EPIDEMIOLOGY; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84920163263     PISSN: 03406717     EISSN: 14321203     Source Type: Journal    
DOI: 10.1007/s00439-014-1478-5     Document Type: Article

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