Entropy-based information gain approaches to detect and to characterize gene-gene and gene-environment interactions/correlations of complex diseases

Genetic Epidemiology

Volumn 35, Issue 7, 2011, Pages 706-721

  Fan, R ^a,h   Zhong, M ^b   Wang, S ^a,c   Zhang, Y ^a   Andrew, A ^d   Karagas, M ^d   Chen, H ^e   Amos, C I ^f   Xiong, M ^g   Moore, J H ^d  

^a TEXAS A AND M UNIVERSITY   (United States)

^b ABBOTT LABORATORIES   (United States)

^c YUNNAN UNIVERSITY   (China)

^d DARTMOUTH MEDICAL SCHOOL   (United States)

^e NATIONAL CANCER INSTITUTE   (United States)

^f UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^g UNIVERSITY OF TEXAS   (United States)

^h EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

Author keywords

Entropy; Gene gene and gene environment interactions; Interaction information; Mutual information; Total correlation information

Indexed keywords

ARTICLE; BLADDER CANCER; CANCER SUSCEPTIBILITY; CHI SQUARE TEST; CONTROLLED STUDY; ENTROPY; ENVIRONMENTAL FACTOR; GENE INTERACTION; GENETIC CORRELATION; GENOME; HUMAN; POWER ANALYSIS; POWER OF A TEST; SAMPLE SIZE; SINGLE NUCLEOTIDE POLYMORPHISM; SMOKING HABIT; STATISTICAL ANALYSIS;

DNA REPAIR; ENTROPY; GENE-ENVIRONMENT INTERACTION; GENETIC PREDISPOSITION TO DISEASE; GENOTYPE; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; POLYMORPHISM, SINGLE NUCLEOTIDE; SMOKING; URINARY BLADDER NEOPLASMS;

EID: 80054755102     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20621     Document Type: Article

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