Bayesian logistic regression in detection of gene–steroid interaction for cancer at PDLIM5 locus

Journal of Genetics

Volumn 95, Issue 2, 2016, Pages 331-340

  Wang, Ke Sheng ^a   Owusu, Daniel ^a   Pan, Yue ^b   Xie, Changchun ^c  

^a EAST TENNESSEE STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF CINCINNATI COLLEGE OF MEDICINE   (United States)

Author keywords

Bayesian; cancer; gene steroid interaction; logistic regression; PDLIM5 locus; single nucleotide polymorphism

Indexed keywords

LIM PROTEIN; PDLIM5 PROTEIN, HUMAN; SIGNAL TRANSDUCING ADAPTOR PROTEIN; STEROID;

AGED; ALLELE; BAYES THEOREM; CHEMICALLY INDUCED; FEMALE; GENE EXPRESSION; GENE FREQUENCY; GENE LOCUS; GENETIC PREDISPOSITION; GENETICS; GENOME-WIDE ASSOCIATION STUDY; HAPLOTYPE; HUMAN; INFLAMMATION; MALE; MIDDLE AGED; NEOPLASM; PATHOLOGY; PHARMACOGENETICS; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL; VERY ELDERLY;

ADAPTOR PROTEINS, SIGNAL TRANSDUCING; AGED; AGED, 80 AND OVER; ALLELES; BAYES THEOREM; FEMALE; GENE EXPRESSION; GENE FREQUENCY; GENETIC LOCI; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; HAPLOTYPES; HUMANS; INFLAMMATION; LIM DOMAIN PROTEINS; LOGISTIC MODELS; MALE; MIDDLE AGED; NEOPLASMS; PHARMACOGENETICS; POLYMORPHISM, SINGLE NUCLEOTIDE; STEROIDS;

EID: 84977504614     PISSN: 00221333     EISSN: 09737731     Source Type: Journal    
DOI: 10.1007/s12041-016-0642-1     Document Type: Article

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