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Probing the diabetes and colorectal cancer relationship using gene - environment interaction analyses

N. Dimou, AE. Kim, O. Flanagan, N. Murphy, V. Diez-Obrero, A. Shcherbina, EK. Aglago, E. Bouras, PT. Campbell, G. Casey, S. Gallinger, SB. Gruber, MA. Jenkins, Y. Lin, V. Moreno, E. Ruiz-Narvaez, MC. Stern, Y. Tian, KK. Tsilidis, V. Arndt, EL....

. 2023 ; 129 (3) : 511-520. [pub] 20230626

Jazyk angličtina Země Anglie, Velká Británie

Typ dokumentu časopisecké články, práce podpořená grantem, Research Support, N.I.H., Extramural, Research Support, U.S. Gov't, P.H.S.

Perzistentní odkaz   https://www.medvik.cz/link/bmc23016681

Grantová podpora
P01 CA196569 NCI NIH HHS - United States
U01 CA137088 NCI NIH HHS - United States
R01 CA059045 NCI NIH HHS - United States
U01 CA164930 NCI NIH HHS - United States
R01 CA206279 NCI NIH HHS - United States
R01 CA201407 NCI NIH HHS - United States
P30 CA015704 NCI NIH HHS - United States
S10 OD028685 NIH HHS - United States
U01 CA086308 NCI NIH HHS - United States
P30 CA006973 NCI NIH HHS - United States
U01 AG018033 NIA NIH HHS - United States
U01 CA167551 NCI NIH HHS - United States
U01 CA122839 NCI NIH HHS - United States
R01 CA143237 NCI NIH HHS - United States
U19 CA148107 NCI NIH HHS - United States
R01 CA081488 NCI NIH HHS - United States
HHSN268201200008I NHLBI NIH HHS - United States
U01 CA074794 NCI NIH HHS - United States
U24 CA074794 NCI NIH HHS - United States
R01 CA076366 NCI NIH HHS - United States
P30 CA014089 NCI NIH HHS - United States
R01 CA197350 NCI NIH HHS - United States
R01 CA242218 NCI NIH HHS - United States
T32 ES013678 NIEHS NIH HHS - United States
14136 Cancer Research UK - United Kingdom
1000143 Medical Research Council - United Kingdom
P01 CA055075 NCI NIH HHS - United States
UM1 CA167552 NCI NIH HHS - United States
U01 CA167552 NCI NIH HHS - United States
R01 CA137178 NCI NIH HHS - United States
R01 CA151993 NCI NIH HHS - United States
R35 CA197735 NCI NIH HHS - United States
P01 CA087969 NCI NIH HHS - United States
UM1 CA186107 NCI NIH HHS - United States
R01 CA072520 NCI NIH HHS - United States
R01 CA136726 NCI NIH HHS - United States
C588/A19167 Cancer Research UK - United Kingdom
R37 CA054281 NCI NIH HHS - United States
P01 CA033619 NCI NIH HHS - United States
U01 CA063464 NCI NIH HHS - United States
R01 CA066635 NCI NIH HHS - United States
P30 DK034987 NIDDK NIH HHS - United States
U01 CA074783 NCI NIH HHS - United States
U01 HG004446 NHGRI NIH HHS - United States
U01 HG004438 NHGRI NIH HHS - United States
U10 CA037429 NCI NIH HHS - United States
UM1 CA182883 NCI NIH HHS - United States
R01 CA097325 NCI NIH HHS - United States
R03 CA153323 NCI NIH HHS - United States
K05 CA152715 NCI NIH HHS - United States
KL2 TR000421 NCATS NIH HHS - United States
K05 CA154337 NCI NIH HHS - United States
HHSN268201600018C NHLBI NIH HHS - United States
HHSN268201600001C NHLBI NIH HHS - United States
HHSN268201600002C NHLBI NIH HHS - United States
HHSN268201600003C NHLBI NIH HHS - United States
HHSN268201600004C NHLBI NIH HHS - United States
R01 CA155101 NCI NIH HHS - United States
C18281/A29019 Cancer Research UK - United Kingdom
P01 CA196569 NCI NIH HHS - United States

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BACKGROUND: Diabetes is an established risk factor for colorectal cancer. However, the mechanisms underlying this relationship still require investigation and it is not known if the association is modified by genetic variants. To address these questions, we undertook a genome-wide gene-environment interaction analysis. METHODS: We used data from 3 genetic consortia (CCFR, CORECT, GECCO; 31,318 colorectal cancer cases/41,499 controls) and undertook genome-wide gene-environment interaction analyses with colorectal cancer risk, including interaction tests of genetics(G)xdiabetes (1-degree of freedom; d.f.) and joint testing of Gxdiabetes, G-colorectal cancer association (2-d.f. joint test) and G-diabetes correlation (3-d.f. joint test). RESULTS: Based on the joint tests, we found that the association of diabetes with colorectal cancer risk is modified by loci on chromosomes 8q24.11 (rs3802177, SLC30A8 - ORAA: 1.62, 95% CI: 1.34-1.96; ORAG: 1.41, 95% CI: 1.30-1.54; ORGG: 1.22, 95% CI: 1.13-1.31; p-value3-d.f.: 5.46 × 10-11) and 13q14.13 (rs9526201, LRCH1 - ORGG: 2.11, 95% CI: 1.56-2.83; ORGA: 1.52, 95% CI: 1.38-1.68; ORAA: 1.13, 95% CI: 1.06-1.21; p-value2-d.f.: 7.84 × 10-09). DISCUSSION: These results suggest that variation in genes related to insulin signaling (SLC30A8) and immune function (LRCH1) may modify the association of diabetes with colorectal cancer risk and provide novel insights into the biology underlying the diabetes and colorectal cancer relationship.

Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia

BioRealm LLC Walnut CA USA

Biostatistics Division Kaiser Permanente Washington Health Research Institute Seattle WA USA

Broad Institute of Harvard and MIT Cambridge MA USA

Cancer Epidemiology Division Cancer Council Victoria Melbourne VIC Australia

Center for Cancer Research Medical University of Vienna Vienna Austria

Center for Gastrointestinal Biology and Disease University of North Carolina Chapel Hill NC USA

Center for Precision Medicine Department of Medical Oncology and Therapeutics Research City of Hope National Medical Center Duarte CA USA

Centre for Epidemiology and Biostatistics Melbourne School of Population and Global Health The University of Melbourne Melbourne Victoria Australia

Channing Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School Boston MA USA

CIBER Epidemiología y Salud Pública Madrid Spain

Clalit National Cancer Control Center Haifa Israel

Clinical and Translational Epidemiology Unit Massachusetts General Hospital and Harvard Medical School Boston MA USA

Colorectal Cancer Group ONCOBELL Program Bellvitge Biomedical Research Institute Barcelona 08908 Spain

Colorectal Cancer Group ONCOBELL Program Bellvitge Biomedical Research Institute L'Hospitalet de Llobregat 8908 Barcelona Spain

Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

Consortium for Biomedical Research in Epidemiology and Public Health Barcelona 08908 Spain

Department of Biostatistics University of Washington Seattle WA USA

Department of Clinical Sciences Faculty of Medicine University of Barcelona Barcelona 08908 Spain

Department of Community Medicine and Epidemiology Lady Davis Carmel Medical Center Haifa Israel

Department of Computer Science Stanford University Stanford CA USA

Department of Epidemiology and Population Health Albert Einstein College of Medicine Bronx NY USA

Department of Epidemiology Geisel School of Medicine at Dartmouth Hanover NH USA

Department of Epidemiology Harvard T H Chan School of Public Health Harvard University Boston MA USA

Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD USA

Department of Epidemiology School of Public Health University of Washington Seattle WA USA

Department of Family Medicine University of Virginia Charlottesville VA USA

Department of General Surgery University of Virginia School of Medicine Charlottesville VA USA

Department of Genetics and Genome Sciences Case Western Reserve University Cleveland OH USA

Department of Genetics Stanford University Stanford CA USA

Department of Hygiene and Epidemiology University of Ioannina School of Medicine Ioannina Greece

Department of Immunology and Infectious Diseases Harvard T H Chan School of Public Health Harvard University Boston MA USA

Department of Laboratory Medicine and Pathology Mayo Clinic Arizona Scottsdale AZ USA

Department of Medicine and Epidemiology University of Pittsburgh Medical Center Pittsburgh PA USA

Department of Medicine Samuel Oschin Comprehensive Cancer Institute Cedars Sinai Medical Center Los Angeles CA USA

Department of Molecular Biology of Cancer Institute of Experimental Medicine of the Czech Academy of Sciences Prague Czech Republic

Department of Nutritional Sciences University of Michigan School of Public Health Ann Arbor MI USA

Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center Keck School of Medicine University of Southern California Los Angeles CA USA

Department of Population Health Sciences University of Utah Salt Lake City UH USA

Department of Population Science American Cancer Society Atlanta GA USA

Department of Public Health and Primary Care University of Cambridge Cambridge UK

Department of Public Health Sciences Center for Public Health Genomics Charlottesville VA USA

Division of Biostatistics Department of Population and Public Health Sciences Keck School of Medicine University of Southern California Los Angeles CA USA

Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Bethesda MD USA

Division of Cancer Epidemiology German Cancer Research Center Heidelberg Germany

Division of Clinical Epidemiology and Aging Research German Cancer Research Center Heidelberg Germany

Division of Gastroenterology Massachusetts General Hospital and Harvard Medical School Boston MA USA

Division of Human Nutrition and Health Wageningen University and Research Wageningen The Netherlands

Division of Laboratory Genetics Department of Laboratory Medicine and Pathology Mayo Clinic Rochester MN USA

Division of Preventive Oncology German Cancer Research Center Heidelberg Germany

Faculty of Medicine and Biomedical Center in Pilsen Charles University Pilsen Czech Republic

German Cancer Consortium Heidelberg Germany

Huntsman Cancer Institute University of Utah Salt Lake City UT USA

Institute of Biology and Medical Genetics 1st Faculty of Medicine Charles University Prague Czech Republic

Institute of Environmental Medicine Karolinska Institutet Stockholm Sweden

Leeds Institute of Cancer and Pathology University of Leeds Leeds UK

Lunenfeld Tanenbaum Research Institute Mount Sinai Hospital University of Toronto Toronto ON Canada

Medical Faculty Heidelberg Heidelberg University Heidelberg Germany

Memorial University of Newfoundland Discipline of Genetics St John's NL Canada

Nantes Université CHU Nantes Service de Génétique médicale F 44000 Nantes France

Nutrition and Metabolism Branch International Agency for Research on Cancer Lyon France

ONCOBEL Program Bellvitge Biomedical Research Institute L'Hospitalet de Llobregat Barcelona Spain

Oncology Data Analytics Program Catalan Institute of Oncology IDIBELL L'Hospitalet de Llobregat Barcelona Spain

Precision Medicine School of Clinical Sciences at Monash Health Monash University Clayton VIC Australia

Public Health Sciences Division Fred Hutchinson Cancer Center Seattle WA USA

Research Centre for Hauora and Health Massey University Wellington New Zealand

Ruth and Bruce Rappaport Faculty of Medicine Technion Israel Institute of Technology Haifa Israel

School of Public Health Capital Medical University Beijing China

School of Public Health Imperial College London London United Kingdom

School of Public Health University of Washington Seattle WA USA

Slone Epidemiology Center at Boston University Boston MA USA

SWOG Statistical Center Fred Hutchinson Cancer Center Seattle WA USA

Unit of Biomarkers and Susceptibility Oncology Data Analytics Program Catalan Institute of Oncology Barcelona 08908 Spain

Unit of Nutrition Environment and Cancer Cancer Epidemiology Research Program Catalan Institute of Oncology Avda Gran Via Barcelona 199 203 08908L'Hospitalet de Llobregat Barcelona Spain

University Medical Centre Hamburg Eppendorf University Cancer Centre Hamburg Hamburg Germany

University of Hawaii Cancer Center Honolulu HI USA

Citace poskytuje Crossref.org

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$a Probing the diabetes and colorectal cancer relationship using gene - environment interaction analyses / $c N. Dimou, AE. Kim, O. Flanagan, N. Murphy, V. Diez-Obrero, A. Shcherbina, EK. Aglago, E. Bouras, PT. Campbell, G. Casey, S. Gallinger, SB. Gruber, MA. Jenkins, Y. Lin, V. Moreno, E. Ruiz-Narvaez, MC. Stern, Y. Tian, KK. Tsilidis, V. Arndt, EL. Barry, JW. Baurley, SI. Berndt, S. Bézieau, SA. Bien, DT. Bishop, H. Brenner, A. Budiarto, R. Carreras-Torres, TW. Cenggoro, AT. Chan, J. Chang-Claude, SJ. Chanock, X. Chen, DV. Conti, CH. Dampier, M. Devall, DA. Drew, JC. Figueiredo, GG. Giles, A. Gsur, TA. Harrison, A. Hidaka, M. Hoffmeister, JR. Huyghe, K. Jordahl, E. Kawaguchi, TO. Keku, SC. Larsson, L. Le Marchand, JP. Lewinger, L. Li, B. Mahesworo, J. Morrison, PA. Newcomb, CC. Newton, M. Obon-Santacana, J. Ose, RK. Pai, JR. Palmer, N. Papadimitriou, B. Pardamean, AR. Peoples, PDP. Pharoah, EA. Platz, JD. Potter, G. Rennert, PC. Scacheri, RE. Schoen, YR. Su, CM. Tangen, SN. Thibodeau, DC. Thomas, CM. Ulrich, CY. Um, FJB. van Duijnhoven, K. Visvanathan, P. Vodicka, L. Vodickova, E. White, A. Wolk, MO. Woods, C. Qu, A. Kundaje, L. Hsu, WJ. Gauderman, MJ. Gunter, U. Peters
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$a BACKGROUND: Diabetes is an established risk factor for colorectal cancer. However, the mechanisms underlying this relationship still require investigation and it is not known if the association is modified by genetic variants. To address these questions, we undertook a genome-wide gene-environment interaction analysis. METHODS: We used data from 3 genetic consortia (CCFR, CORECT, GECCO; 31,318 colorectal cancer cases/41,499 controls) and undertook genome-wide gene-environment interaction analyses with colorectal cancer risk, including interaction tests of genetics(G)xdiabetes (1-degree of freedom; d.f.) and joint testing of Gxdiabetes, G-colorectal cancer association (2-d.f. joint test) and G-diabetes correlation (3-d.f. joint test). RESULTS: Based on the joint tests, we found that the association of diabetes with colorectal cancer risk is modified by loci on chromosomes 8q24.11 (rs3802177, SLC30A8 - ORAA: 1.62, 95% CI: 1.34-1.96; ORAG: 1.41, 95% CI: 1.30-1.54; ORGG: 1.22, 95% CI: 1.13-1.31; p-value3-d.f.: 5.46 × 10-11) and 13q14.13 (rs9526201, LRCH1 - ORGG: 2.11, 95% CI: 1.56-2.83; ORGA: 1.52, 95% CI: 1.38-1.68; ORAA: 1.13, 95% CI: 1.06-1.21; p-value2-d.f.: 7.84 × 10-09). DISCUSSION: These results suggest that variation in genes related to insulin signaling (SLC30A8) and immune function (LRCH1) may modify the association of diabetes with colorectal cancer risk and provide novel insights into the biology underlying the diabetes and colorectal cancer relationship.
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