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Vol. 73, No. 4, 2012
Issue release date: September 2012
Section title: Original Paper
Free Access
Hum Hered 2012;73:185–194

Natural and Orthogonal Interaction Framework for Modeling Gene-Environment Interactions with Application to Lung Cancer

Ma J.a · Xiao F.a · Xiong M.b · Andrew A.S.c · Brenner H.g · Duell E.J.j · Haugen A.l · Hoggart C.m · Hung R.J.n · Lazarus P.d · Liu C.a · Matsuo K.o · Mayordomo J.I.k · Schwartz A.G.e · Staratschek-Jox A.h · Wichmann E.i · Yang P.f · Amos C.I.a
aDepartment of Genetics, The University of Texas MD Anderson Cancer Center, and bHuman Genetics Center, University of Texas School of Public Health, Houston, Tex., cDepartment of Community and Family Medicine, Norris Cotton Cancer Center, Dartmouth Medical School, Lebanon, N.H., dDepartments of Pharmacology and Public Health Sciences, Penn State College of Medicine, Hearshey, Pa., eKarmanos Cancer Institute and Department of Oncology, Wayne State University School of Medicine, Detroit, Mich., and fMayo Clinic Cancer Center, Rochester, Minn., USA; gDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, hLife and Medical Sciences Bonn, Genomics and Immunoregulation, University of Bonn, Bonn, and iHelmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany; jUnit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, and kServicio de Oncologia Medica, Hospital Clinico Universitario, Zaragoza, Spain; lThe National Institute of Occupational Health, Oslo, Norway; mEpidemiology Unit, London School of Hygiene and Tropical Medicine, London, UK; nSamuel Lunenfeld Research Institute, Toronto, Ont., Canada; oDivision of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
email Corresponding Author

Christopher I. Amos, PhD

Department of Genetics, Unit 209

University of Texas MD Anderson Cancer Center

1515 Holcombe Blvd., Houston, TX 77030 (USA)

Tel. +1 713 792 3020, E-Mail


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