Empirical hierarchical bayes approach to gene-environment interactions: Development and application to genome-wide association studies of lung cancer in TRICL

Genetic Epidemiology

Volumn 37, Issue 6, 2013, Pages 551-559

  Sohns, Melanie ^a   Viktorova, Elena ^a   Amos, Christopher I ^b   Brennan, Paul ^c   Fehringer, Gord ^d   Gaborieau, Valerie ^c   Han, Younghun ^b   Heinrich, Joachim ^e   Chang Claude, Jenny ^f   Hung, Rayjean J ^d   Müller Nurasyid, Martina ^e,g,h   Risch, Angela ^f   Lewinger, Juan Pablo ⁱ   Thomas, Duncan C ⁱ   Bickeböller, Heike ^a  

^a UNIVERSITY OF GÖTTINGEN   (Germany)

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

^c INTERNATIONAL AGENCY FOR RESEARCH ON CANCER   (France)

^d MOUNT SINAI HOSPITAL   (Canada)

^e INSTITUTE OF EPIDEMIOLOGY   (Germany)

^f GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^g UNIVERSITY OF MUNICH   (Germany)

^h LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

ⁱ UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

GEWIS; GWAS; Lung cancer; Population G E correlation; Rank power

Indexed keywords

ARTICLE; BAYES THEOREM; CORRELATION ANALYSIS; EMPIRICAL HIERARCHICAL BAYES METHOD; GENETIC ASSOCIATION; GENETIC CORRELATION; GENOTYPE ENVIRONMENT INTERACTION; LUNG CANCER; MATHEMATICAL MODEL;

GEWIS; GWAS; LUNG CANCER; POPULATION G-E CORRELATION; RANK POWER;

BAYES THEOREM; BIAS (EPIDEMIOLOGY); CASE-CONTROL STUDIES; COMPUTER SIMULATION; GENE-ENVIRONMENT INTERACTION; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LUNG NEOPLASMS; MODELS, GENETIC; SMOKING;

EID: 84881610691     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21741     Document Type: Article

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