A Bayesian approach to gene-gene and gene-environment interactions in chronic fatique syndrome

Pharmacogenomics

Volumn 10, Issue 1, 2009, Pages 35-42

  Lin, Eugene ^a,b   Hsu, Sen Yen ^b  

^a VITA GENOMICS INC   (Taiwan)

^b CHI MEI MEDICAL CENTER   (Taiwan)

Author keywords

Bayesian varlable selection; Chronic fatigue syndrome; Gene environment interactions; Gene gene interactions; Genomics; Gibbs sampling; Single nucleotide polymorphisms

Indexed keywords

GLUCOCORTICOID RECEPTOR; NUCLEAR RECEPTOR 3C1 GLUCOCORTICOID RECEPTOR; UNCLASSIFIED DRUG;

ADULT; AGE DISTRIBUTION; ARTICLE; BAYES THEOREM; BIOLOGICAL ACTIVITY; BODY MASS; CHRONIC FATIGUE SYNDROME; CONTROLLED STUDY; DEMOGRAPHY; FEMALE; GENE ACTIVITY; GENE LOCUS; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC RISK; GENOTYPE ENVIRONMENT INTERACTION; HUMAN; MAJOR CLINICAL STUDY; MALE; MONTE CARLO METHOD; SEX DIFFERENCE; SINGLE NUCLEOTIDE POLYMORPHISM; AGE; BIOLOGICAL MODEL; COMPUTER PROGRAM; FACTUAL DATABASE; GENE EXPRESSION PROFILING; GENETIC EPIGENESIS; GENETIC EPISTASIS; GENETIC POLYMORPHISM; GENETICS; PROBABILITY; STATISTICS;

AGE FACTORS; BAYES THEOREM; BODY MASS INDEX; DATABASES, FACTUAL; EPIGENESIS, GENETIC; EPISTASIS, GENETIC; FATIGUE SYNDROME, CHRONIC; GENE EXPRESSION PROFILING; HUMANS; MARKOV CHAINS; MODELS, GENETIC; POLYMORPHISM, GENETIC; SEX FACTORS; SOFTWARE;

EID: 62649142886     PISSN: 14622416     EISSN: 17448042     Source Type: Journal    
DOI: 10.2217/14622416.10.1.35     Document Type: Article

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