Bayesian analysis of genetic interactions in case-control studies, with application to adiponectin genes and colorectal cancer risk

Annals of Human Genetics

Volumn 75, Issue 1, 2011, Pages 90-104

  Yi, Nengjun ^a   Kaklamani, Virginia G ^b   Pasche, Boris ^c  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c University of Alabama at Birmingham   (United States)

Author keywords

Adiponectin genes; Bayesian inference; Colorectal cancer; Generalized linear models; Genetic interactions; High dimensional data; Logistic regression; Probit regression

Indexed keywords

ADIPONECTIN;

ADULT; AGED; ANALYSIS OF COVARIANCE; ARTICLE; BAYES THEOREM; CANCER RISK; COLORECTAL CANCER; CONTROLLED STUDY; COVARIANCE; FEMALE; GENE INTERACTION; GENE LOCUS; GENETIC ALGORITHM; GENETIC RISK; GENOTYPE ENVIRONMENT INTERACTION; HUMAN; MAJOR CLINICAL STUDY; MALE; POPULATION BASED CASE CONTROL STUDY; POWER OF A TEST; PREDICTION; PRIORITY JOURNAL; PROBABILITY; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL DISTRIBUTION; STATISTICAL PARAMETERS; STUDENT T TEST;

ADIPONECTIN; BAYES THEOREM; CASE-CONTROL STUDIES; COLORECTAL NEOPLASMS; HUMANS; MODELS, GENETIC;

EID: 78650079055     PISSN: 00034800     EISSN: 14691809     Source Type: Journal    
DOI: 10.1111/j.1469-1809.2010.00605.x     Document Type: Article

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