Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship Between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Author:

Stern Mariana C.1ORCID,Sanchez Mendez Joel1ORCID,Kim Andre E.1ORCID,Obón-Santacana Mireia234ORCID,Moratalla-Navarro Ferran2345ORCID,Martín Vicente467ORCID,Moreno Victor2345ORCID,Lin Yi8ORCID,Bien Stephanie A.8ORCID,Qu Conghui8ORCID,Su Yu-Ru8ORCID,White Emily89ORCID,Harrison Tabitha A.8ORCID,Huyghe Jeroen R.8ORCID,Tangen Catherine M.8ORCID,Newcomb Polly A.89ORCID,Phipps Amanda I.89ORCID,Thomas Claire E.8ORCID,Kawaguchi Eric S.1ORCID,Lewinger Juan Pablo1ORCID,Morrison John L.1ORCID,Conti David V.1ORCID,Wang Jun1ORCID,Thomas Duncan C.1ORCID,Platz Elizabeth A.10ORCID,Visvanathan Kala10ORCID,Keku Temitope O.11ORCID,Newton Christina C.12ORCID,Um Caroline Y.12ORCID,Kundaje Anshul1314ORCID,Shcherbina Anna1314ORCID,Murphy Neil15ORCID,Gunter Marc J.1516ORCID,Dimou Niki15ORCID,Papadimitriou Nikos15ORCID,Bézieau Stéphane17ORCID,van Duijnhoven Franzel J.B.18ORCID,Männistö Satu19ORCID,Rennert Gad202122ORCID,Wolk Alicja23ORCID,Hoffmeister Michael24ORCID,Brenner Hermann242526ORCID,Chang-Claude Jenny2728ORCID,Tian Yu2729ORCID,Le Marchand Loïc30ORCID,Cotterchio Michelle31ORCID,Tsilidis Konstantinos K.32ORCID,Bishop D. Timothy33ORCID,Melaku Yohannes Adama3435ORCID,Lynch Brigid M.3536ORCID,Buchanan Daniel D.373839ORCID,Ulrich Cornelia M.4041ORCID,Ose Jennifer4041ORCID,Peoples Anita R.4041ORCID,Pellatt Andrew J.42ORCID,Li Li43ORCID,Devall Matthew A.M.43ORCID,Campbell Peter T.44ORCID,Albanes Demetrius45ORCID,Weinstein Stephanie J.45ORCID,Berndt Sonja I.45ORCID,Gruber Stephen B.46ORCID,Ruiz-Narvaez Edward47ORCID,Song Mingyang4849ORCID,Joshi Amit D.4849ORCID,Drew David A.49ORCID,Petrick Jessica L.50ORCID,Chan Andrew T.484951525354ORCID,Giannakis Marios5355ORCID,Peters Ulrike89ORCID,Hsu Li856ORCID,Gauderman W. James1ORCID

Affiliation:

1. 1Department of Population and Public Health Sciences and USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California.

2. 2Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain.

3. 3ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.

4. 4Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.

5. 5Department of Clinical Sciences, Faculty of Medicine and health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, Barcelona, Spain.

6. 6The Research Group in Gene – Environment and Health Interactions (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, León, Spain.

7. 7Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Universidad de León, León, Spain.

8. 8Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.

9. 9Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington.

10. 10Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

11. 11Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina.

12. 12Department of Population Science, American Cancer Society, Atlanta, Georgia.

13. 13Department of Genetics, Stanford University, Stanford, California.

14. 14Department of Computer Science, Stanford University, Stanford, California.

15. 15Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.

16. 16Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.

17. 17Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France.

18. 18Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands.

19. 19Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.

20. 20Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel.

21. 21Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.

22. 22Clalit National Cancer Control Center, Haifa, Israel.

23. 23Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.

24. 24Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.

25. 25Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.

26. 26German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.

27. 27Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

28. 28University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany.

29. 29School of Public Health, Capital Medical University, Beijing, P.R. China.

30. 30University of Hawaii Cancer Center, Honolulu, Hawaii.

31. 31Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada.

32. 32Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.

33. 33Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, United Kingdom.

34. 34Flinders Health and Medical Research Institute, Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia.

35. 35Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.

36. 36Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia.

37. 37Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia.

38. 38University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia.

39. 39Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia.

40. 40Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.

41. 41Department of Population Health Sciences, University of Utah, Salt Lake City, Utah.

42. 42Department of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas.

43. 43Department of Family Medicine, University of Virginia, Charlottesville, Virginia.

44. 44Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York.

45. 45Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland.

46. 46Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte California.

47. 47Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan.

48. 48Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.

49. 49Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.

50. 50Slone Epidemiology Center at, Boston University, Boston, Massachusetts.

51. 51Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.

52. 52Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.

53. 53Broad Institute of Harvard and MIT, Cambridge, Massachusetts.

54. 54Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.

55. 55Dana-Farber Cancer Institute, Harvard Medical School, Harvard University, Boston, Massachusetts.

56. 56Department of Biostatistics, University of Washington, Seattle, Washington.

Abstract

Abstract Background: High red meat and/or processed meat consumption are established colorectal cancer risk factors. We conducted a genome-wide gene–environment (GxE) interaction analysis to identify genetic variants that may modify these associations. Methods: A pooled sample of 29,842 colorectal cancer cases and 39,635 controls of European ancestry from 27 studies were included. Quantiles for red meat and processed meat intake were constructed from harmonized questionnaire data. Genotyping arrays were imputed to the Haplotype Reference Consortium. Two-step EDGE and joint tests of GxE interaction were utilized in our genome-wide scan. Results: Meta-analyses confirmed positive associations between increased consumption of red meat and processed meat with colorectal cancer risk [per quartile red meat OR = 1.30; 95% confidence interval (CI) = 1.21–1.41; processed meat OR = 1.40; 95% CI = 1.20–1.63]. Two significant genome-wide GxE interactions for red meat consumption were found. Joint GxE tests revealed the rs4871179 SNP in chromosome 8 (downstream of HAS2); greater than median of consumption ORs = 1.38 (95% CI = 1.29–1.46), 1.20 (95% CI = 1.12–1.27), and 1.07 (95% CI = 0.95–1.19) for CC, CG, and GG, respectively. The two-step EDGE method identified the rs35352860 SNP in chromosome 18 (SMAD7 intron); greater than median of consumption ORs = 1.18 (95% CI = 1.11–1.24), 1.35 (95% CI = 1.26–1.44), and 1.46 (95% CI = 1.26–1.69) for CC, CT, and TT, respectively. Conclusions: We propose two novel biomarkers that support the role of meat consumption with an increased risk of colorectal cancer. Impact: The reported GxE interactions may explain the increased risk of colorectal cancer in certain population subgroups.

Publisher

American Association for Cancer Research (AACR)

Subject

Oncology,Epidemiology

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