Detecting genetic interactions in pathway-based genome-wide association studies

Genetic Epidemiology

Volumn 38, Issue 4, 2014, Pages 300-309

  Huang, Anhui ^a   Martin, Eden R ^b   Vance, Jeffery M ^b   Cai, Xiaodong ^a  

^a University of Miami College of Engineering   (United States)

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

Author keywords

Epistasis; Group EBlasso; GWAS; Parkinson disease; Pathway

Indexed keywords

BILE ACID; MITOGEN ACTIVATED PROTEIN KINASE;

ARTICLE; BAYES THEOREM; BIOSYNTHESIS; COMPUTER SIMULATION; GENE FREQUENCY; GENE INTERACTION; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENETIC VARIABILITY; LIGAND BINDING; LOGISTIC REGRESSION ANALYSIS; PARKINSON DISEASE; QUANTITATIVE TRAIT LOCUS; SIGNAL TRANSDUCTION; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL SIGNIFICANCE;

EPISTASIS; GROUP EBLASSO; GWAS; PARKINSON DISEASE; PATHWAY;

ATAXIA TELANGIECTASIA MUTATED PROTEINS; BAYES THEOREM; BILE ACIDS AND SALTS; COMPUTER SIMULATION; EPISTASIS, GENETIC; GENE FREQUENCY; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LINKAGE DISEQUILIBRIUM; LOGISTIC MODELS; MAP KINASE SIGNALING SYSTEM; PARKINSON DISEASE; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84899072060     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21803     Document Type: Article

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