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Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, Chen Z, Fernandez-Rozadilla C, Law PJ, Murphy N, Carreras-Torres R, Diez-Obrero V, van Duijnhoven FJB, Jiang S, Shin A, Wolk A, Phipps AI, Burnett-Hartman A, Gsur A, Chan AT, Zauber AG, Wu AH, Lindblom A, Um CY, Tangen CM, Gignoux C, Newton C, Haiman CA, Qu C, Bishop DT, Buchanan DD, Crosslin DR, Conti DV, Kim DH, Hauser E, White E, Siegel E, Schumacher FR, Rennert G, Giles GG, Hampel H, Brenner H, Oze I, Oh JH, Lee JK, Schneider JL, Chang-Claude J, Kim J, Huyghe JR, Zheng J, Hampe J, Greenson J, Hopper JL, Palmer JR, Visvanathan K, Matsuo K, Matsuda K, Jung KJ, Li L, Le Marchand L, Vodickova L, Bujanda L, Gunter MJ, Matejcic M, Jenkins MA, Slattery ML, D'Amato M, Wang M, Hoffmeister M, Woods MO, Kim M, Song M, Iwasaki M, Du M, Udaltsova N, Sawada N, Vodicka P, Campbell PT, Newcomb PA, Cai Q, Pearlman R, Pai RK, Schoen RE, Steinfelder RS, Haile RW, Vandenputtelaar R, Prentice RL, Küry S, Castellví-Bel S, Tsugane S, Berndt SI, Lee SC, Brezina S, Weinstein SJ, Chanock SJ, Jee SH, Kweon SS, Vadaparampil S, Harrison TA, Yamaji T, Keku TO, Vymetalkova V, Arndt V, Jia WH, Shu XO, Lin Y, Ahn YO, Stadler ZK, Van Guelpen B, Ulrich CM, Platz EA, Potter JD, Li CI, Meester R, Moreno V, Figueiredo JC, Casey G, Lansdorp Vogelaar I, Dunlop MG, Gruber SB, Hayes RB, Pharoah PDP, Houlston RS, Jarvik GP, Tomlinson IP, Zheng W, Corley DA, Peters U, Hsu L. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations. Nat Commun 2023; 14:6147. [PMID: 37783704 PMCID: PMC10545678 DOI: 10.1038/s41467-023-41819-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 09/19/2023] [Indexed: 10/04/2023] Open
Abstract
Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values < 0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice.
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Affiliation(s)
- Minta Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, USA
| | - Elisabeth A Rosenthal
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, 98195, USA
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, USA
| | - Maria N Timofeeva
- Danish Institute for Advanced Study (DIAS), Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, U, Germany
| | - Zhishan Chen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ceres Fernandez-Rozadilla
- Instituto de Investigacion Sanitaria de Santiago (IDIS), Choupana sn, 15706, Santiago de Compostela, Spain
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Reseach, London, SW7 3RP, UK
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Robert Carreras-Torres
- Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), Salt, 17190, Girona, Spain
| | - Virginia Diez-Obrero
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, 08908, Spain
| | | | - Shangqing Jiang
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul National University Cancer Research Institute, Seoul, South Korea
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | | | - Andrea Gsur
- .Center for Cancer Research, Medical University Vienna, Vienna, Austria
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Ann G Zauber
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna H Wu
- University of Southern California, Preventative Medicine, Los Angeles, CA, USA
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Caroline Y Um
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Chris Gignoux
- Colorado Center for Personalized Medicine, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | - Christina Newton
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Christopher A Haiman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, 3000, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3000, Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, 3000, Australia
| | - David R Crosslin
- Department of Bioinformatics and Medical Education, University of Washington Medical Center, Seattle, WA, 98195, USA
| | - David V Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Dong-Hyun Kim
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Okcheon-dong, South Korea
| | - Elizabeth Hauser
- VA Cooperative Studies Program Epidemiology Center, Durham Veterans Affairs Health Care System, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Erin Siegel
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Fredrick R Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Isao Oze
- .Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Jae Hwan Oh
- .Research Institute and Hospital, National Cancer Center, Goyang, South Korea, South Korea
| | - Jeffrey K Lee
- .Department of Gastroenterology, Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA
- Department of Pathology, University of Michigan, Ann Arbor, MI, 48104, USA
| | | | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, South Korea
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Jiayin Zheng
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Joel Greenson
- Department of Pathology, University of Michigan, Ann Arbor, MI, 48104, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Julie R Palmer
- Slone Epidemiology Center, School of Medicine, Boston University, Boston, MA, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Keitaro Matsuo
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Keum Ji Jung
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | | | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Luis Bujanda
- Department of Gastroenterology, Biodonostia Health Research Institute, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Universidad del País Vasco (UPV/EHU), San Sebastián, Spain
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Mark A Jenkins
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3000, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Mauro D'Amato
- Department of Medicine and Surgery, LUM University, Camassima, Italy
- Gastrointestinal Genetics Lab, CIC bioGUNE-BRTA, Derio, Spain
| | - Meilin Wang
- Department of Environmental Genomics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada
| | - Michelle Kim
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Mingyang Song
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Departments of Epidemiology and Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Mulong Du
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Natalia Udaltsova
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Robert S Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Robert W Haile
- Samuel Oschin Comprehensive Cancer Institute, CEDARS-SINAI, Los Angeles, CA, USA
| | - Rosita Vandenputtelaar
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Sébastien Küry
- Nantes Université, CHU Nantes, Service de Génétique Médicale, F-44000, Nantes, France
| | - Sergi Castellví-Bel
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Soo Chin Lee
- National University Cancer Institute, Singapore, Singapore
| | - Stefanie Brezina
- .Center for Cancer Research, Medical University Vienna, Vienna, Austria
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea
- Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Susan Vadaparampil
- Departments of Epidemiology and Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Veronika Vymetalkova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - Xiao-Ou Shu
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul National University Cancer Research Institute, Seoul, South Korea
| | - Zsofia K Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Reinier Meester
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Jane C Figueiredo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Iris Lansdorp Vogelaar
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Malcolm G Dunlop
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, U, Germany
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Reseach, London, SW7 3RP, UK
| | - Gail P Jarvik
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, 98195, USA
| | - Ian P Tomlinson
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
- Department of Gastroenterology, Kaiser Permanente Medical Center, San Francisco, CA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
- Department of Biostatistics, University of Washington, Seattle, WA, USA.
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Lu Z, Fan L, Zhang F, Huang C, Cai Y, Chen C, Li G, Zhang M, Huang J, Ning C, Li Y, Wang W, Geng H, Liu Y, Chen S, Li H, Yang S, Zhang H, Tian W, Ye T, Liu J, Yang X, Xu B, Zhu Y, Zhong R, Li H, Tian J, Li B, Miao X. HSPA12A was identified as a key driver in colorectal cancer GWAS loci 10q26.12 and modulated by an enhancer-promoter interaction. Arch Toxicol 2023; 97:2015-2028. [PMID: 37245169 DOI: 10.1007/s00204-023-03494-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 04/04/2023] [Indexed: 05/29/2023]
Abstract
Although genome-wide association studies (GWASs) have identified over 100 colorectal cancer (CRC) risk loci, an understanding of causal genes or risk variants and their biological functions in these loci remain unclear. Recently, genomic loci 10q26.12 with lead SNP rs1665650 was identified as an essential CRC risk loci of Asian populations. However, the functional mechanism of this region has not been fully clarified. Here, we applied an RNA interfering-based on-chip approach to screen for the genes essential for cell proliferation in the CRC risk loci 10q26.12. Notably, HSPA12A had the most significant effect among the identified genes and functioned as a crucial oncogene facilitating cell proliferation. Moreover, we conducted an integrative fine-mapping analysis to identify putative casual variants and further explored their association with CRC risk in a large-scale Chinese population consisting of 4054 cases and 4054 controls and also independently validated in 5208 cases and 20,832 controls from the UK biobank cohort. We identified a risk SNP rs7093835 in the intron of HSPA12A that was significantly associated with an increased risk of CRC (OR 1.23, 95% CI 1.08-1.41, P = 1.92 × 10-3). Mechanistically, the risk variant could facilitate an enhancer-promoter interaction mediated by the transcriptional factor (TF) GRHL1 and ultimately upregulate HSPA12A expression, which provides functional evidence to support our population findings. Collectively, our study reveals the important role of HSPA12A in CRC development and illustrates a novel enhancer-promoter interaction module between HSPA12A and its regulatory elements rs7093835, providing new insights into the etiology of CRC.
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Affiliation(s)
- Zequn Lu
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China
| | - Linyun Fan
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China
| | - Fuwei Zhang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China
| | - Chaoqun Huang
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Yimin Cai
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China
| | - Can Chen
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China
| | - Gaoyuan Li
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Ming Zhang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China
| | - Jinyu Huang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China
| | - Caibo Ning
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China
| | - Yanmin Li
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China
| | - Wenzhuo Wang
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China
| | - Hui Geng
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Yizhuo Liu
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Shuoni Chen
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Hanting Li
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Shuhui Yang
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Heng Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Wen Tian
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Tianrun Ye
- Department of Urology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiuyang Liu
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Xiaojun Yang
- Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Bin Xu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430060, China
| | - Ying Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Rong Zhong
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China
| | - Heng Li
- Department of Urology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Jianbo Tian
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China.
| | - Bin Li
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China.
| | - Xiaoping Miao
- Department of Epidemiology and Biostatistics, Key Laboratory for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China.
- Department of Epidemiology and Biostatistics, School of Public Health, TaiKang Center for Life and Medical Sciences, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, 430071, China.
- Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
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3
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Agaimy A, Baněčková M, De Almeida J, Dickson BC, Dimmler A, Hartmann W, Laé M, Pablik J, Schubart C, Skálová A, Stoehr R, Trautmann M, Wardelmann E, Wassef M, Weinreb I. Recurrent EWSR1::COLCA2 Fusions Define a Novel Sarcoma With Spindle/Round Cell Morphology and Strong Predilection for the Sinonasal Tract. Am J Surg Pathol 2023; 47:361-369. [PMID: 36580038 DOI: 10.1097/pas.0000000000002000] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The last 2 decades have attended a dynamic evolution in the nosology of poorly differentiated sinonasal tract malignancies, with several new molecularly defined entities having been described in addition to delineation of the genetic driver/s of some established older entities. These discoveries, however, mostly concerned epithelial-derived neoplasms (carcinomas). Adamantinoma-like Ewing sarcoma and biphenotypic sinonasal sarcoma are the major representatives of the newly defined mesenchymal categories. The colorectal cancer associated 2 (COLCA2) has been discovered recently as a colorectal cancer risk gene locus, but fusions involving this gene have not been well characterized. We, herein, describe clinicopathologic and molecular features of a novel sinonasal sarcoma characterized by undifferentiated spindle/round cell morphology and defined by recurrent EWSR1::COLCA2 fusions. All patients (n=5) were adults (3 female and 2 male) with a median age of 46 years (range, 23 to 60 y). The tumors originated in different subsites of the sinonasal tract with frequent multisite involvement. Original diagnoses were undifferentiated or unclassified round cell/spindle cell neoplasm/sarcoma (n=4) and neuroendocrine carcinoma (n=1). Surgery with or without adjuvant chemoradiation was the treatment in all cases. At the last follow-up, 1 patient developed multiple local recurrences over 21 years and another developed local recurrence and distant metastasis to bone 27 months after diagnosis. A third patient developed local recurrence 11 months later. Two patients were disease-free at 23, and 24 months. Histology showed nondescript highly cellular neoplasms with an admixture of spindled and round cells disposed into solid sheets and fascicles with brisk mitotic activity. Immunohistochemistry was negative for all lineage-specific markers with only limited focal membranous CD99 (4 of 5 cases) and weak pankeratin (1 of 5 cases) expression. Targeted RNA sequencing revealed an EWSR1::COLCA2 fusion, verified by EWSR1 fluorescence in situ hybridization, in all cases. This series identifies a novel member in the undifferentiated spindle/round cell sarcoma category with strong predilection for the sinonasal tract. None of >10,000 epithelial and mesenchymal neoplasms tested at the authors' centers during the same period showed this fusion, highlighting rarity of tumors carrying this gene fusion. Accordingly, molecular testing of unclassified sinonasal malignancies/sarcomas showing round and spindle cell morphology is recommended to enhance the identification and further characterization of this entity.
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Affiliation(s)
- Abbas Agaimy
- Institute of Pathology, Erlangen University Hospital, Comprehensive Cancer Center, European Metropolitan Area Erlangen-Nuremberg (CCC ER-EMN), Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Martina Baněčková
- Department of Pathology, Charles University, Faculty of Medicine in Plzen
- Bioptic Laboratory Ltd, Plzen, Czech Republic
| | - John De Almeida
- Department of Otolaryngology, Head and Neck Surgery, Princess Margaret Hospital, University of Toronto
| | - Brendan C Dickson
- Department of Pathology & Laboratory Medicine, Mount Sinai Hospital
- Department of Pathobiology and Laboratory Medicine, University of Toronto
| | - Arno Dimmler
- Institut und Gemeinschaftspraxis für Pathologie, ViDia Christliche Kliniken Karlsruhe, Karlsruhe
| | - Wolfgang Hartmann
- Gerhard-Domagk-Institute of Pathology, Münster University Hospital
- Division of Translational Pathology, Gerhard-Domagk-Institute of Pathology, Münster University Hospital, Münster
| | - Marick Laé
- Department of Pathology, Centre Henri Becquerel, INSERM U1245, Université Rouen Normandie, Rouen
| | - Jessica Pablik
- Department of Pathology, University Hospital Dresden, Dresden, Germany
| | - Christoph Schubart
- Institute of Pathology, Erlangen University Hospital, Comprehensive Cancer Center, European Metropolitan Area Erlangen-Nuremberg (CCC ER-EMN), Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Alena Skálová
- Department of Pathology, Charles University, Faculty of Medicine in Plzen
- Bioptic Laboratory Ltd, Plzen, Czech Republic
| | - Robert Stoehr
- Institute of Pathology, Erlangen University Hospital, Comprehensive Cancer Center, European Metropolitan Area Erlangen-Nuremberg (CCC ER-EMN), Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Marcel Trautmann
- Gerhard-Domagk-Institute of Pathology, Münster University Hospital
- Division of Translational Pathology, Gerhard-Domagk-Institute of Pathology, Münster University Hospital, Münster
| | - Eva Wardelmann
- Gerhard-Domagk-Institute of Pathology, Münster University Hospital
| | - Michel Wassef
- Department of Pathology, Hôpital Lariboisière, Paris, France
| | - Ilan Weinreb
- Laboratory Medicine Program, University Health Network, Toronto General Hospital, Toronto, ON, Canada
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4
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Parlato LA, Welch R, Ong IM, Long J, Cai Q, Steinwandel MD, Blot WJ, Zheng W, Warren Andersen S. Genome-wide association study (GWAS) of circulating vitamin D outcomes among individuals of African ancestry. Am J Clin Nutr 2023; 117:308-316. [PMID: 36811574 PMCID: PMC10196601 DOI: 10.1016/j.ajcnut.2022.12.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 12/01/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Vitamin D deficiency is more common among African-ancestry individuals and may be associated with adverse health outcomes. Vitamin D binding protein (VDBP) regulates concentrations of biologically active vitamin D. OBJECTIVE We conducted genome-wide association study (GWAS) of VDBP and 25-hydroxyvitamin D among African-ancestry individuals. METHODS Data were collected from 2,602 African American adults from the Southern Community Cohort Study (SCCS) and 6,934 African- or Caribbean-ancestry adults from the UK Biobank. Serum VDBP concentrations were available only in the SCCS and were measured by using the Polyclonal Human VDBP ELISA kit. Serum 25-hydroxyvitamin D concentrations for both study samples were measured by using Diasorin Liason, a chemiluminescent immunoassay. Participants were genotyped for single nucleotide polymorphisms (SNPs) with genome-wide coverage by using Illumina or Affymetrix platforms. Fine-mapping analysis was performed by using forward stepwise linear regression models including all variants with P value < 5 × 10-8 and within 250 kbps of a lead SNP. RESULTS We identified 4 loci notably associated with VDBP concentrations in the SCCS population: rs7041 (per allele β = 0.61 μg/mL, SE = 0.05, P = 1.4 × 10-48) and rs842998 (per allele β = 0.39 μg/mL, SE = 0.03, P = 4.0 × 10-31) in GC, rs8427873 (per allele β = 0.31 μg/mL, SE = 0.04, P = 3.0 × 10-14) near GC and rs11731496 (per allele β = 0.21 μg/mL, SE = 0.03, P = 3.6 × 10-11) in between GC and NPFFR2. In conditional analyses, which included the above-mentioned SNPs, only rs7041 remained notable (P = 4.1 × 10-21). SNP rs4588 in GC was the only GWAS-identified SNP associated with 25-hydroxyvitamin D concentration. Among UK Biobank participants: per allele β = -0.11 μg/mL, SE = 0.01, P = 1.5 × 10-13; in the SCCS: per allele β = -0.12 μg/mL, SE = 0.06, P = 2.8 × 10-02). rs7041 and rs4588 are functional SNPs that influence the binding affinity of VDBP to 25-hydroxyvitamin D. CONCLUSIONS Our results were in line with previous studies conducted in European-ancestry populations, showing that GC, the gene that directly encodes for VDBP, would be important for VDBP and 25-hydroxyvitamin D concentrations. The current study extends our knowledge of the genetics of vitamin D in diverse populations.
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Affiliation(s)
- Lisa A Parlato
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Rene Welch
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; University of Wisconsin Carbone Cancer Center, Madison, WI, USA; Department of Obstetrics and Gynecology, UW-Health Hospital, University of Wisconsin-Madison, Madison, WI, USA
| | - Irene M Ong
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; University of Wisconsin Carbone Cancer Center, Madison, WI, USA; Department of Obstetrics and Gynecology, UW-Health Hospital, University of Wisconsin-Madison, Madison, WI, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Mark D Steinwandel
- International Epidemiology Field Station, Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA; International Epidemiology Field Station, Vanderbilt Institute for Clinical and Translational Research, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Shaneda Warren Andersen
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; University of Wisconsin Carbone Cancer Center, Madison, WI, USA; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
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5
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Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, Chen Z, Fernandez-Rozadilla C, Law PJ, Murphy N, Carreras-Torres R, Diez-Obrero V, van Duijnhoven FJ, Jiang S, Shin A, Wolk A, Phipps AI, Burnett-Hartman A, Gsur A, Chan AT, Zauber AG, Wu AH, Lindblom A, Um CY, Tangen CM, Gignoux C, Newton C, Haiman CA, Qu C, Bishop DT, Buchanan DD, Crosslin DR, Conti DV, Kim DH, Hauser E, White E, Siegel E, Schumacher FR, Rennert G, Giles GG, Hampel H, Brenner H, Oze I, Oh JH, Lee JK, Schneider JL, Chang-Claude J, Kim J, Huyghe JR, Zheng J, Hampe J, Greenson J, Hopper JL, Palmer JR, Visvanathan K, Matsuo K, Matsuda K, Jung KJ, Li L, Marchand LL, Vodickova L, Bujanda L, Gunter MJ, Matejcic M, Jenkins MA, Slattery ML, D'Amato M, Wang M, Hoffmeister M, Woods MO, Kim M, Song M, Iwasaki M, Du M, Udaltsova N, Sawada N, Vodicka P, Campbell PT, Newcomb PA, Cai Q, Pearlman R, Pai RK, Schoen RE, Steinfelder RS, Haile RW, Vandenputtelaar R, Prentice RL, Küry S, Castellví-Bel S, Tsugane S, Berndt SI, Lee SC, Brezina S, Weinstein SJ, Chanock SJ, Jee SH, Kweon SS, Vadaparampil S, Harrison TA, Yamaji T, Keku TO, Vymetalkova V, Arndt V, Jia WH, Shu XO, Lin Y, Ahn YO, Stadler ZK, Van Guelpen B, Ulrich CM, Platz EA, Potter JD, Li CI, Meester R, Moreno V, Figueiredo JC, Casey G, Vogelaar IL, Dunlop MG, Gruber SB, Hayes RB, Pharoah PDP, Houlston RS, Jarvik GP, Tomlinson IP, Zheng W, Corley DA, Peters U, Hsu L. Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.19.23284737. [PMID: 36789420 PMCID: PMC9928144 DOI: 10.1101/2023.01.19.23284737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expanded PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS were 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1,681-3,651 cases and 8,696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They were significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values<0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice.
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6
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Forgacova N, Gazdarica J, Budis J, Radvanszky J, Szemes T. Repurposing non-invasive prenatal testing data: Population study of single nucleotide variants associated with colorectal cancer and Lynch syndrome. Oncol Lett 2021; 22:779. [PMID: 34594420 PMCID: PMC8456492 DOI: 10.3892/ol.2021.13040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 07/16/2021] [Indexed: 12/24/2022] Open
Abstract
In our previous work, genomic data generated through non-invasive prenatal testing (NIPT) based on low-coverage massively parallel whole-genome sequencing of total plasma DNA of pregnant women in Slovakia was described as a valuable source of population specific data. In the present study, these data were used to determine the population allele frequency of common risk variants located in genes associated with colorectal cancer (CRC) and Lynch syndrome (LS). Allele frequencies of identified variants were compared with six world populations to detect significant differences between populations. Finally, variants were interpreted, functional consequences were searched for and clinical significance of variants was investigated using publicly available databases. Although the present study did not identify any pathogenic variants associated with CRC or LS in the Slovak population using NIPT data, significant differences were observed in the allelic frequency of risk CRC variants previously reported in genome-wide association studies and common variants located in genes associated with LS. As Slovakia is one of the leading countries with the highest incidence of CRC among male patients in the world, there is a need for studies dedicated to investigating the cause of such a high incidence of CRC in Slovakia. The present study also assumed that extensive cross-country data aggregation of NIPT results would represent an unprecedented source of information concerning human genome variation in cancer research.
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Affiliation(s)
- Natalia Forgacova
- Comenius University Science Park, Comenius University, 841 04 Bratislava, Slovakia.,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 841 04 Bratislava, Slovakia
| | - Juraj Gazdarica
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 841 04 Bratislava, Slovakia.,Geneton Ltd., 841 04 Bratislava, Slovakia.,Science Support Section, Slovak Centre of Scientific and Technical Information, 811 04 Bratislava, Slovakia
| | - Jaroslav Budis
- Comenius University Science Park, Comenius University, 841 04 Bratislava, Slovakia.,Geneton Ltd., 841 04 Bratislava, Slovakia.,Science Support Section, Slovak Centre of Scientific and Technical Information, 811 04 Bratislava, Slovakia
| | - Jan Radvanszky
- Comenius University Science Park, Comenius University, 841 04 Bratislava, Slovakia.,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 841 04 Bratislava, Slovakia.,Institute for Clinical and Translational Research, Biomedical Research Center, Slovak Academy of Sciences, 845 05 Bratislava, Slovakia
| | - Tomas Szemes
- Comenius University Science Park, Comenius University, 841 04 Bratislava, Slovakia.,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 841 04 Bratislava, Slovakia.,Geneton Ltd., 841 04 Bratislava, Slovakia
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7
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Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank. PLoS One 2021; 16:e0251469. [PMID: 34525106 PMCID: PMC8443076 DOI: 10.1371/journal.pone.0251469] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 09/02/2021] [Indexed: 12/24/2022] Open
Abstract
Colorectal cancer risk stratification is crucial to improve screening and risk-reducing recommendations, and consequently do better than a one-size-fits-all screening regimen. Current screening guidelines in the UK, USA and Australia focus solely on family history and age for risk prediction, even though the vast majority of the population do not have any family history. We investigated adding a polygenic risk score based on 45 single-nucleotide polymorphisms to a family history model (combined model) to quantify how it improves the stratification and discriminatory performance of 10-year risk and full lifetime risk using a prospective population-based cohort within the UK Biobank. For both 10-year and full lifetime risk, the combined model had a wider risk distribution compared with family history alone, resulting in improved risk stratification of nearly 2-fold between the top and bottom risk quintiles of the full lifetime risk model. Importantly, the combined model can identify people (n = 72,019) who do not have family history of colorectal cancer but have a predicted risk that is equivalent to having at least one affected first-degree relative (n = 44,950). We also confirmed previous findings by showing that the combined full lifetime risk model significantly improves discriminatory accuracy compared with a simple family history model 0.673 (95% CI 0.664–0.682) versus 0.666 (95% CI 0.657–0.675), p = 0.0065. Therefore, a combined polygenic risk score and first-degree family history model could be used to improve risk stratified population screening programs.
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8
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Genetic risk factors for colorectal cancer in multiethnic Indonesians. Sci Rep 2021; 11:9988. [PMID: 33976257 PMCID: PMC8113452 DOI: 10.1038/s41598-021-88805-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 04/14/2021] [Indexed: 11/09/2022] Open
Abstract
Colorectal cancer is a common cancer in Indonesia, yet it has been understudied in this resource-constrained setting. We conducted a genome-wide association study focused on evaluation and preliminary discovery of colorectal cancer risk factors in Indonesians. We administered detailed questionnaires and collecting blood samples from 162 colorectal cancer cases throughout Makassar, Indonesia. We also established a control set of 193 healthy individuals frequency matched by age, sex, and ethnicity. A genome-wide association analysis was performed on 84 cases and 89 controls passing quality control. We evaluated known colorectal cancer genetic variants using logistic regression and established a genome-wide polygenic risk model using a Bayesian variable selection technique. We replicate associations for rs9497673, rs6936461 and rs7758229 on chromosome 6; rs11255841 on chromosome 10; and rs4779584, rs11632715, and rs73376930 on chromosome 15. Polygenic modeling identified 10 SNP associated with colorectal cancer risk. This work helps characterize the relationship between variants in the SCL22A3, SCG5, GREM1, and STXBP5-AS1 genes and colorectal cancer in a diverse Indonesian population. With further biobanking and international research collaborations, variants specific to colorectal cancer risk in Indonesians will be identified.
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9
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Wang X, He X, Guo H, Tong Y. Variants in the 8q24 region associated with risk of breast cancer: Systematic research synopsis and meta-analysis. Medicine (Baltimore) 2020; 99:e19217. [PMID: 32080114 PMCID: PMC7034712 DOI: 10.1097/md.0000000000019217] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Breast cancer is a molecularly heterogeneous disorder associated with high lethal malignant tumors among women worldwide. Genetic factors play an important role in breast cancer development. Several single nucleotide polymorphisms in the 8q24 region associated with risk of breast cancer have been identified. Fifteen studies including 32,955 cases and 43,716 controls were collected to conduct a meta-analysis to evaluate the associations between variants in 8q24 region and risk of breast cancer. Our study showed that only rs13281615 is associated with breast cancer risk in this large-scale research synopsis and meta-analysis. Further studies are needed to explore the role of the 8q24 variants in the development of breast cancer.
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Affiliation(s)
- Xuedong Wang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
| | - Xian He
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
| | - Hui Guo
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Yu Tong
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province, China
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10
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Tian J, Chang J, Gong J, Lou J, Fu M, Li J, Ke J, Zhu Y, Gong Y, Yang Y, Zou D, Peng X, Yang N, Mei S, Wang X, Zhong R, Cai K, Miao X. Systematic Functional Interrogation of Genes in GWAS Loci Identified ATF1 as a Key Driver in Colorectal Cancer Modulated by a Promoter-Enhancer Interaction. Am J Hum Genet 2019; 105:29-47. [PMID: 31204011 DOI: 10.1016/j.ajhg.2019.05.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 05/06/2019] [Indexed: 01/02/2023] Open
Abstract
Genome-wide association studies (GWASs) have identified approximately 100 colorectal cancer (CRC) risk loci. However, the causal genes in these loci have not been systematically interrogated. We conducted a high-throughput RNA-interference functional screen to identify the genes essential for proliferation in the CRC risk loci of Asian populations. We found that ATF1, located in the 12q13.12 region, functions as an oncogene that facilitates cell proliferation; ATF1 has the most significant effect of the identified genes and promotes CRC xenograft growth by affecting cell apoptosis. Next, by integrating a fine-mapping analysis, a two-stage affected-control study consisting of 6,213 affected individuals and 10,388 controls, and multipronged experiments, we elucidated that two risk variants, dbSNP: rs61926301 and dbSNP: rs7959129, that located in the ATF1 promoter and first intron, respectively, facilitate a promoter-enhancer interaction, mediated by the synergy of SP1 and GATA3, to upregulate ATF1 expression, thus synergistically predisposing to CRC risk (OR = 1.77, 95% CI = 1.42-2.21, p = 3.16 × 10-7; Pmultiplicative-interaction = 1.20 × 10-22; Padditive-interaction = 6.50 × 10-3). Finally, we performed RNA-seq and ChIP-seq assays in CRC cells treated with ATF1 overexpression in order to dissect the target programs of ATF1. Results showed that ATF1 activates a subset of genes, including BRAF, NRAS, MYC, BIRC2, DAAM1, MAML2, STAT1, ID1, and NKD2, related to apoptosis, Wnt, TGF-β, and MAPK pathways, and these effects could cooperatively increase the risk of CRC. These findings reveal the clinical potential of ATF1 in CRC development and illuminate a promoter-enhancer interaction module between the ATF1 regulatory elements dbSNP: rs61926301 and dbSNP: rs7959129, and they bring us closer to understanding the molecular drivers of cancer.
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11
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Xicola RM, Manojlovic Z, Augustus GJ, Kupfer SS, Emmadi R, Alagiozian-Angelova V, Triche T, Salhia B, Carpten J, Llor X, Ellis NA. Lack of APC somatic mutation is associated with early-onset colorectal cancer in African Americans. Carcinogenesis 2019; 39:1331-1341. [PMID: 30239619 DOI: 10.1093/carcin/bgy122] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 09/11/2018] [Indexed: 02/06/2023] Open
Abstract
African Americans (AAs) have higher incidence and mortality rates of colorectal cancer (CRC) compared with other US populations. They present with more right-sided, microsatellite stable disease and are diagnosed at earlier ages compared with non-Hispanic Whites (NHWs). To gain insight into these trends, we conducted exome sequencing (n = 45), copy number (n = 33) and methylation analysis (n = 11) of microsatellite stable AA CRCs. Results were compared with data from The Cancer Genome Atlas (TCGA). Two of the 45 tumors contained POLE mutations. In the remaining 43 tumors, only 27 (63%) contained loss-of-function mutations in APC compared with 80% of TCGA NHW CRCs. APC-mutation-negative CRCs were associated with an earlier onset of CRC (P = 0.01). They were also associated with lower overall mutation burden, fewer copy number variants and a DNA methylation signature that was distinct from the CpG island methylator phenotype characterized in microsatellite unstable disease. Three of the APC-mutation-negative CRCs had loss-of-function mutations in BCL9L. Mutations in driver genes identified by TCGA exome analysis were less frequent in AA CRC cases than TCGA NHWs. Genes that regulate the WNT signaling pathway, including SOX9, GATA6, TET1, GLIS1 and FAT1, were differentially hypermethylated in APC-mutation-negative CRCs, suggesting a novel mechanism for cancer development in these tumors. In summary, we have identified a subtype of CRC that is associated with younger age of diagnosis, lack of APC mutation, microsatellite and chromosome stability, lower mutation burden and distinctive methylation changes.
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Affiliation(s)
- Rosa M Xicola
- Department of Internal Medicine and Yale Cancer Center, Yale University, New Haven, CT, USA
| | - Zarko Manojlovic
- Translational Genomics Research Institute, Division of Integrated Cancer Genomics, Phoenix, AZ, USA.,Department of Translational Genomics, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Gaius J Augustus
- Cancer Biology Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ, USA
| | - Sonia S Kupfer
- University of Chicago Medicine, Section of Gastroenterology, Hepatology and Nutrition, Chicago, IL, USA
| | - Rajyasree Emmadi
- Department of Pathology, University of Illinois at Chicago, Chicago, IL, USA
| | | | - Tim Triche
- Department of Translational Genomics, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA.,Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI, USA
| | - Bodour Salhia
- Department of Translational Genomics, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - John Carpten
- Translational Genomics Research Institute, Division of Integrated Cancer Genomics, Phoenix, AZ, USA.,Department of Translational Genomics, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Xavier Llor
- Department of Internal Medicine and Yale Cancer Center, Yale University, New Haven, CT, USA
| | - Nathan A Ellis
- Department of Cellular and Molecular Medicine and University of Arizona Cancer Center, University of Arizona., Tucson, AZ, USA
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Rentoft M, Svensson D, Sjödin A, Olason PI, Sjöström O, Nylander C, Osterman P, Sjögren R, Netotea S, Wibom C, Cederquist K, Chabes A, Trygg J, Melin BS, Johansson E. A geographically matched control population efficiently limits the number of candidate disease-causing variants in an unbiased whole-genome analysis. PLoS One 2019; 14:e0213350. [PMID: 30917156 PMCID: PMC6436687 DOI: 10.1371/journal.pone.0213350] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2018] [Accepted: 02/11/2019] [Indexed: 12/18/2022] Open
Abstract
Whole-genome sequencing is a promising approach for human autosomal dominant disease studies. However, the vast number of genetic variants observed by this method constitutes a challenge when trying to identify the causal variants. This is often handled by restricting disease studies to the most damaging variants, e.g. those found in coding regions, and overlooking the remaining genetic variation. Such a biased approach explains in part why the genetic causes of many families with dominantly inherited diseases, in spite of being included in whole-genome sequencing studies, are left unsolved today. Here we explore the use of a geographically matched control population to minimize the number of candidate disease-causing variants without excluding variants based on assumptions on genomic position or functional predictions. To exemplify the benefit of the geographically matched control population we apply a typical disease variant filtering strategy in a family with an autosomal dominant form of colorectal cancer. With the use of the geographically matched control population we end up with 26 candidate variants genome wide. This is in contrast to the tens of thousands of candidates left when only making use of available public variant datasets. The effect of the local control population is dual, it (1) reduces the total number of candidate variants shared between affected individuals, and more importantly (2) increases the rate by which the number of candidate variants are reduced as additional affected family members are included in the filtering strategy. We demonstrate that the application of a geographically matched control population effectively limits the number of candidate disease-causing variants and may provide the means by which variants suitable for functional studies are identified genome wide.
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Affiliation(s)
- Matilda Rentoft
- Department of Medical Biochemistry and Biophysics, Umeå University, SE Umeå, Sweden
- Computational Life Science Cluster, Department of Chemistry, Umeå University, SE Umeå, Sweden
| | - Daniel Svensson
- Computational Life Science Cluster, Department of Chemistry, Umeå University, SE Umeå, Sweden
| | - Andreas Sjödin
- Computational Life Science Cluster, Department of Chemistry, Umeå University, SE Umeå, Sweden
- Division of CBRN Security and Defence, FOI–Swedish Defence Research Agency, SE Umeå, Sweden
| | - Pall I. Olason
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, SE Uppsala, Sweden
| | - Olle Sjöström
- Department of Radiation Sciences, Oncology, Umeå University, SE Umeå, Sweden
- Unit of research, education and development, Region Jämtland Härjedalen, SE Östersund, Sweden
| | - Carin Nylander
- Department of Radiation Sciences, Oncology, Umeå University, SE Umeå, Sweden
| | - Pia Osterman
- Department of Medical Biochemistry and Biophysics, Umeå University, SE Umeå, Sweden
| | - Rickard Sjögren
- Computational Life Science Cluster, Department of Chemistry, Umeå University, SE Umeå, Sweden
| | - Sergiu Netotea
- Computational Life Science Cluster, Department of Chemistry, Umeå University, SE Umeå, Sweden
- Science for Life Laboratory, Department of Biology and Biological Engineering, Chalmers University of Technology, SE Göteborg, Sweden
| | - Carl Wibom
- Department of Radiation Sciences, Oncology, Umeå University, SE Umeå, Sweden
| | - Kristina Cederquist
- Department of Medical Biosciences, Medical and Clinical Genetics, Umeå University, SE Umeå, Sweden
| | - Andrei Chabes
- Department of Medical Biochemistry and Biophysics, Umeå University, SE Umeå, Sweden
| | - Johan Trygg
- Computational Life Science Cluster, Department of Chemistry, Umeå University, SE Umeå, Sweden
| | - Beatrice S. Melin
- Department of Radiation Sciences, Oncology, Umeå University, SE Umeå, Sweden
| | - Erik Johansson
- Department of Medical Biochemistry and Biophysics, Umeå University, SE Umeå, Sweden
- * E-mail:
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13
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Schmit SL, Edlund CK, Schumacher FR, Gong J, Harrison TA, Huyghe JR, Qu C, Melas M, Van Den Berg DJ, Wang H, Tring S, Plummer SJ, Albanes D, Alonso MH, Amos CI, Anton K, Aragaki AK, Arndt V, Barry EL, Berndt SI, Bezieau S, Bien S, Bloomer A, Boehm J, Boutron-Ruault MC, Brenner H, Brezina S, Buchanan DD, Butterbach K, Caan BJ, Campbell PT, Carlson CS, Castelao JE, Chan AT, Chang-Claude J, Chanock SJ, Cheng I, Cheng YW, Chin LS, Church JM, Church T, Coetzee GA, Cotterchio M, Cruz Correa M, Curtis KR, Duggan D, Easton DF, English D, Feskens EJM, Fischer R, FitzGerald LM, Fortini BK, Fritsche LG, Fuchs CS, Gago-Dominguez M, Gala M, Gallinger SJ, Gauderman WJ, Giles GG, Giovannucci EL, Gogarten SM, Gonzalez-Villalpando C, Gonzalez-Villalpando EM, Grady WM, Greenson JK, Gsur A, Gunter M, Haiman CA, Hampe J, Harlid S, Harju JF, Hayes RB, Hofer P, Hoffmeister M, Hopper JL, Huang SC, Huerta JM, Hudson TJ, Hunter DJ, Idos GE, Iwasaki M, Jackson RD, Jacobs EJ, Jee SH, Jenkins MA, Jia WH, Jiao S, Joshi AD, Kolonel LN, Kono S, Kooperberg C, Krogh V, Kuehn T, Küry S, LaCroix A, Laurie CA, Lejbkowicz F, Lemire M, Lenz HJ, Levine D, Li CI, Li L, Lieb W, Lin Y, Lindor NM, Liu YR, Loupakis F, Lu Y, Luh F, Ma J, Mancao C, Manion FJ, Markowitz SD, Martin V, Matsuda K, Matsuo K, McDonnell KJ, McNeil CE, Milne R, Molina AJ, Mukherjee B, Murphy N, Newcomb PA, Offit K, Omichessan H, Palli D, Cotoré JPP, Pérez-Mayoral J, Pharoah PD, Potter JD, Qu C, Raskin L, Rennert G, Rennert HS, Riggs BM, Schafmayer C, Schoen RE, Sellers TA, Seminara D, Severi G, Shi W, Shibata D, Shu XO, Siegel EM, Slattery ML, Southey M, Stadler ZK, Stern MC, Stintzing S, Taverna D, Thibodeau SN, Thomas DC, Trichopoulou A, Tsugane S, Ulrich CM, van Duijnhoven FJB, van Guelpan B, Vijai J, Virtamo J, Weinstein SJ, White E, Win AK, Wolk A, Woods M, Wu AH, Wu K, Xiang YB, Yen Y, Zanke BW, Zeng YX, Zhang B, Zubair N, Kweon SS, Figueiredo JC, Zheng W, Marchand LL, Lindblom A, Moreno V, Peters U, Casey G, Hsu L, Conti DV, Gruber SB. Novel Common Genetic Susceptibility Loci for Colorectal Cancer. J Natl Cancer Inst 2019; 111:146-157. [PMID: 29917119 PMCID: PMC6555904 DOI: 10.1093/jnci/djy099] [Citation(s) in RCA: 108] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Revised: 03/09/2018] [Accepted: 04/27/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10-8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk. METHODS We conducted a GWAS in European descent CRC cases and control subjects using a discovery-replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10-8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided. RESULTS The discovery GWAS identified 11 variants associated with CRC at P < 5 × 10-8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0. CONCLUSIONS This study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screening.
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Affiliation(s)
- Stephanie L Schmit
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
| | | | | | | | | | | | - Chenxu Qu
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
- Public Health Sciences Division
| | - Marilena Melas
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
| | | | - Hansong Wang
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Stephanie Tring
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
- National Cancer Center, Tokyo, Japan
- Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Sarah J Plummer
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - M Henar Alonso
- Catalan Institute of Oncology, Bellvitge Biomedical Research Institute
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- University of Barcelona, Barcelona, Spain
| | | | | | | | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research
| | - Elizabeth L Barry
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | | | - Stephanie Bien
- Centre Hospitalier Universitaire Hotel-Dieu, Nantes, France
| | - Amanda Bloomer
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Juergen Boehm
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT
| | - Marie-Christine Boutron-Ruault
- CESP (U1018 INSERM), Facultés de Médecine Université Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif, France
- Gustave Roussy, Villejuif, France
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research
- German Cancer Consortium
- National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Stefanie Brezina
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU), Nantes, France
| | - Daniel D Buchanan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
- Colorectal Oncogenomics Group, Department of Pathology (DDB) and Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Melbourne, Victoria, Australia
- Genetic Medicine and Familial Cancer Centre, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | | | - Bette J Caan
- Division of Research, Kaiser Permanente Medical Care Program of Northern California, Oakland, CA
| | - Peter T Campbell
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | | | - Jose E Castelao
- Genetic Oncology Unit, Instituto de Investigación Sanitaria Galicia Sur (IISGS), Complejo Hospitalario Universitario de Vigo (CHUVI), SERGAS, Vigo (Pontevedra) Spain
| | - Andrew T Chan
- Division of Gastroenterology
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA
| | - Jenny Chang-Claude
- Unit of Genetic Epidemiology, Division of Cancer Epidemiology
- Harvard Medical School, Boston, MA
- University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Iona Cheng
- Cancer Prevention Institute of California, Fremont, CA
| | - Ya-Wen Cheng
- Ph.D. Program of Cancer Research and Drug Discovery
| | - Lee Soo Chin
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - James M Church
- Department of Colorectal Surgery, Cleveland Clinic, Cleveland, OH
| | - Timothy Church
- Division of Environmental Health Sciences, University of Minnesota, Minneapolis, MN
| | | | | | | | | | - David Duggan
- Genetic Basis of Human Disease Division, Translational Genomics Research Institute, Phoenix, AZ
| | | | - Dallas English
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Edith J M Feskens
- Division of Human Nutrition, Wageningen University and Research, Wageningen, the Netherlands
| | - Rocky Fischer
- University of Michigan Comprehensive Cancer Center, Ann Arbor, MI
| | - Liesel M FitzGerald
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | | | - Lars G Fritsche
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag, Norway
| | - Charles S Fuchs
- Department of Medical Oncology, Dana-Farber Cancer Institute, Brookline, MA
- Department of Medicine, Brigham and Women’s Institute, Brookline, MA
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saude (SERGAS), Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago De Compostela, Spain
- Moores Cancer Center, University of California San Diego, La Jolla, CA
| | | | - Steven J Gallinger
- Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - W James Gauderman
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Edward L Giovannucci
- Harvard Medical School, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Institute, Brookline, MA
| | | | - Clicerio Gonzalez-Villalpando
- Unidad de Investigacion en Diabetes y Riesgo Cardiovascular, Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Publica, Cuernavaca, Morelos, Mexico
| | | | - William M Grady
- Department of Medicine, Division of Gastroenterology, School of Medicine
| | - Joel K Greenson
- Department of Pathology, University of Michigan, Ann Arbor, MI
| | - Andrea Gsur
- Medical University of Vienna, Department of Medicine I, Institute of Cancer Research, Vienna, Austria
| | - Marc Gunter
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA
| | | | - Jochen Hampe
- Medical Department 1, University Hospital Dresden, TU Dresden, Dresden, Germany
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology, Umea University, Umea, Sweden
| | - John F Harju
- University of Michigan Comprehensive Cancer Center, Ann Arbor, MI
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY
| | - Philipp Hofer
- Medical University of Vienna, Department of Medicine I, Institute of Cancer Research, Vienna, Austria
| | | | - John L Hopper
- Centre for MEGA Epidemiology, The University of Melbourne, Carlton, Victoria, Australia
| | - Shu-Chen Huang
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
| | - Jose Maria Huerta
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Thomas J Hudson
- AbbVie, Redwood City, CA
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Gregory E Idos
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences
| | | | - Eric J Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yatsen University, Guangzhou, China
| | | | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Laurence N Kolonel
- Office of Public Health Studies, University of Hawaii Manoa, Honolulu, HI
| | - Suminori Kono
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU), Nantes, France
| | | | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Sébastien Küry
- Department of Preventive Medicine, Kyushu University, Fukuoka, Japan
| | | | | | - Flavio Lejbkowicz
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
- School of Medicine, Taipei Medical University, Taipei, Taiwan
- Sino-American Cancer Foundation, Temple City, CA
| | - Mathieu Lemire
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Heinz-Josef Lenz
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
- Department of Medicine, University of Southern California, Los Angeles, CA
| | | | - Christopher I Li
- Translational Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Li Li
- Department of Family Medicine and Community Health, Mary Ann Swetland Center for Environmental Health, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH
| | - Wolfgang Lieb
- Institute of Epidemiology, PopGen Biobank, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Yi Lin
- Public Health Sciences Division
| | - Noralane M Lindor
- Department of Health Science Research, Mayo Clinic, Scottsdale, AZ
- Unit of Oncology, Department of Clinical and Experimental Oncology, Instituto Oncologico Veneto, IRCCS Padua, Italy
| | | | | | - Yingchang Lu
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Frank Luh
- Clalit Health Services National Israeli Cancer Control Center, Haifa, Israel
| | - Jing Ma
- Harvard School of Public Health, Boston, MA
| | | | - Frank J Manion
- University of Michigan Comprehensive Cancer Center, Ann Arbor, MI
| | - Sanford D Markowitz
- Departments of Medicine and Genetics, Case Comprehensive Cancer Center, Case Western Reserve University, and University Hospitals of Cleveland, Cleveland, OH
| | - Vicente Martin
- Biomedicine Institute (IBIOMED), University of León, León, Spain
| | - Koichi Matsuda
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | - Keitaro Matsuo
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Showa-ku, Nagoya, Japan
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Chikusa-Ku Nagoya, Japan
| | - Kevin J McDonnell
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
| | - Caroline E McNeil
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
| | - Roger Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Antonio J Molina
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Research Group on Gene-Environment Interactions and Health, University of León, León, Spain
| | | | - Neil Murphy
- Nutrition and Metabolism Section, IARC, Lyon, CEDEX 08, France
| | | | - Kenneth Offit
- Clinical Genetics Service (KO), Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Hanane Omichessan
- CESP (U1018 INSERM), Facultés de Médecine Université Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif, France
- Gustave Roussy, Villejuif, France
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute-ISPO, Florence, Italy
| | - Jesus P Paredes Cotoré
- Department of Surgery, Complejo Hospitalario Universitario de Santiago (CHUS), Servicio Galego de Saúde (SERGAS), Santiago De Compostela, Spain
| | | | - Paul D Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | - Conghui Qu
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
- Public Health Sciences Division
| | - Leon Raskin
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
- Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | - Gad Rennert
- Clalit Health Services National Israeli Cancer Control Center, Haifa, Israel
- Department of Community Medicine and Epidemiology, Carmel Medical Center, Haifa, Israel
- Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Hedy S Rennert
- Clalit Health Services National Israeli Cancer Control Center, Haifa, Israel
- Department of Community Medicine and Epidemiology, Carmel Medical Center, Haifa, Israel
| | - Bridget M Riggs
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Clemens Schafmayer
- Department of Visceral and Thoracic Surgery, University Hospital Schleswig-Holstein, Kiel Campus, Kiel, Germany
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Thomas A Sellers
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Daniela Seminara
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Gianluca Severi
- CESP (U1018 INSERM), Facultés de Médecine Université Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif, France
- Human Genetics Foundation (HuGeF), Torino, Italy
| | - Wei Shi
- Department of Surgery, Children’s Hospital Los Angeles, Los Angeles, CA
| | - David Shibata
- Department of Surgery, University of Tennessee Health Science Center, Memphis, TN
| | - Xiao-Ou Shu
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
- Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | - Erin M Siegel
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT
| | - Melissa Southey
- Colorectal Oncogenomics Group, Department of Pathology (DDB) and Genetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Melbourne, Victoria, Australia
| | - Zsofia K Stadler
- Clinical Genetics Service (KO), Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical Center, New York, NY
| | - Mariana C Stern
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
| | - Sebastian Stintzing
- Department of Hematology and Oncology University of Munich (LMU), Munich, Germany
| | | | | | - Duncan C Thomas
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
| | | | - Shoichiro Tsugane
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
- National Cancer Center, Tokyo, Japan
- Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT
| | | | | | - Joseph Vijai
- Clinical Genetics Service (KO), Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jarmo Virtamo
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | | | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | | | - Michael Woods
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Newfoundland, Canada
| | - Anna H Wu
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
| | - Kana Wu
- Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Yun Yen
- Ph.D. Program of Cancer Research and Drug Discovery
- Department of Medical Oncology and Therapeutic Research, City of Hope National Medical Center, Duarte, CA
| | - Brent W Zanke
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- The University of Ottawa, Ottawa, Ontario, Canada
| | - Yi-Xin Zeng
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yatsen University, Guangzhou, China
| | - Ben Zhang
- Division of Noncommunicable Disease Epidemiology and Southwest Hospital Clinical Research Center, Third Military Medical University, Chongqing, China
| | | | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea
- South Korea Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, South Korea
| | - Jane C Figueiredo
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
- Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet Solna, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Victor Moreno
- Catalan Institute of Oncology, Bellvitge Biomedical Research Institute
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- University of Barcelona, Barcelona, Spain
| | - Ulrike Peters
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Li Hsu
- Public Health Sciences Division
| | - David V Conti
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
| | - Stephen B Gruber
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center
- Department of Medicine, University of Southern California, Los Angeles, CA
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Han P, Liu G, Lu X, Cao M, Yan Y, Zou J, Li X, Wang G. CDH1 rs9929218 variant at 16q22.1 contributes to colorectal cancer susceptibility. Oncotarget 2018; 7:47278-47286. [PMID: 27259261 PMCID: PMC5216941 DOI: 10.18632/oncotarget.9758] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Accepted: 05/08/2016] [Indexed: 12/11/2022] Open
Abstract
Colorectal cancer (CRC) is the third most common cancer. Large-scale genome-wide association studies (GWAS) have been performed and reported some novel CRC susceptibility variants in European ancestry including the CDH1 rs9929218. Following GWAS and candidate studies evaluated the association between the CDH1 rs9929218 polymorphism and CRC in European, Asian and American populations. However, these studies reported inconsistent associations. Evidence shows that rs9929218 may regulate different gene expressions in different human tissues. Here, we reevaluated this association using large-scale samples from 16 studies (n=131768) using a meta-analysis method. In heterogeneity test, we did not identify significant heterogeneity among these studies. Meta-analysis using fixed effect model showed significant association between rs9929218 and CRC (P=6.16E-21, odds ratio (OR) =0.92, 95% confidence interval (CI) 0.91-0.94). In order to validate the effect of rs9929218 variant on CDH1 expression, we further performed a functional analysis using two large-scale expression datasets. We identified significant regulation relation between rs9929218 variant and the expression of CDH1, ZFP90, RP11-354M1.2 and MCOLN2 by both cis-effect and trans-effect. In summary, our analysis highlights significant association between rs9929218 polymorphism and CRC susceptibility.
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Affiliation(s)
- Peng Han
- Department of Colorectal Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, 150040, China
| | - Guiyou Liu
- Genome Analysis Laboratory, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China
| | - Xin Lu
- Department of Gastroenterology, The First Hospital of Harbin, Harbin, 150001, China
| | - Minmin Cao
- Department of Endocrinology, The First Hospital of Harbin, Harbin, 150001, China
| | - Youling Yan
- Department of Gastroenterology, The First Hospital of Harbin, Harbin, 150001, China
| | - Jing Zou
- Department of Hematology, The First Hospital of Harbin, Harbin, 150001, China
| | - Xiaobo Li
- Department of Pathology, Harbin Medical University, Harbin, 150081, China
| | - Guangyu Wang
- Department of Gastrointestinal Medical Oncology, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, 150040, China
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15
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Augustus GJ, Ellis NA. Colorectal Cancer Disparity in African Americans: Risk Factors and Carcinogenic Mechanisms. THE AMERICAN JOURNAL OF PATHOLOGY 2017; 188:291-303. [PMID: 29128568 DOI: 10.1016/j.ajpath.2017.07.023] [Citation(s) in RCA: 102] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 07/01/2017] [Accepted: 07/20/2017] [Indexed: 12/13/2022]
Abstract
African Americans have the highest incidence and mortality rates of colorectal cancer (CRC) of any ethnic group in the United States. Although some of these disparities can be explained by differences in access to care, cancer screening, and other socioeconomic factors, disparities remain after adjustment for these factors. Consequently, an examination of recent advances in the understanding of ethnicity-specific factors, including genetic and environmental factors relating to risk of CRC, the biology of CRC progression, and the changes in screening and mortality, is important for evaluating our progress toward eliminating the disparities. An overarching limitation in this field is the number and sample size of studies performed to characterize the etiological bases of CRC incidence and mortality in African Americans. Despite this limitation, significant differences in etiology are manifest in many studies. These differences need validation, and their impacts on disparities need more detailed investigation. Perhaps most heartening, improvements in CRC screening can be attributed to the smallest difference in CRC incidence between African Americans and whites since the late 1980s. Cancer mortality, however, remains a persistent difference.
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Affiliation(s)
- Gaius J Augustus
- Cancer Biology Graduate Interdisciplinary Program, University of Arizona, Tucson, Arizona.
| | - Nathan A Ellis
- University of Arizona Cancer Center, University of Arizona, Tucson, Arizona; Department of Cellular and Molecular Medicine, University of Arizona, Tucson, Arizona.
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16
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Wang H, Schmit SL, Haiman CA, Keku TO, Kato I, Palmer JR, van den Berg D, Wilkens LR, Burnett T, Conti DV, Schumacher FR, Signorello LB, Blot WJ, Zanetti KA, Harris C, Pande M, Berndt SI, Newcomb PA, West DW, Haile R, Stram DO, Figueiredo JC, Le Marchand L. Novel colon cancer susceptibility variants identified from a genome-wide association study in African Americans. Int J Cancer 2017; 140:2728-2733. [PMID: 28295283 PMCID: PMC5505639 DOI: 10.1002/ijc.30687] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2016] [Revised: 02/11/2017] [Accepted: 02/23/2017] [Indexed: 12/11/2022]
Abstract
Genome-wide association studies (GWAS) in ethnic/racial minority populations can help to fine-map previously identified risk regions or discover new risk loci because of the genetic diversity in these populations. We conducted a GWAS of colorectal cancer (CRC) in 6,597 African Americans (1,894 cases and 4,703 controls) (Stage 1) and followed up the most promising markers in a replication set of 2,041 participants of African descent (891 cases and 1,150 controls) (Stage 2). We identified a novel variant, rs56848936 in the gene SYMPK at 19q13.3, associated with colon cancer risk (odds ratio 0.61 for the risk allele G, p = 2.4 × 10-8 ). The frequency of the G allele was 0.06 in African Americans, compared to <0.01 in Europeans, Asians and Amerindians in the 1000 Genomes project. In addition, a variant previously identified through fine-mapping in this GWAS in the region 19q13.1, rs7252505, was confirmed to be more strongly associated with CRC in the African American replication set than the variant originally reported in Europeans (rs10411210). The association between rs7252505 and CRC was of borderline significance (p = 0.05) in a Hispanic population GWAS with 1,611 CRC cases and 4,330 controls. With the three datasets combined, the odds ratio was 0.84 for the risk allele A (95% confidence interval 0.79-0.89, p = 3.7 × 10-8 ). This study further highlights the importance of conducting GWAS studies in diverse ancestry populations.
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Affiliation(s)
- Hansong Wang
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Stephanie L. Schmit
- Departments of Cancer Epidemiology and Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL
- Department of Preventive Medicine and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Christopher A. Haiman
- Department of Preventive Medicine and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Temitope O. Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC
| | - Ikuko Kato
- Wayne State University Karmanos Cancer Institute, Detroit, MI
| | | | - David van den Berg
- Department of Preventive Medicine and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Lynne R. Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Terrilea Burnett
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - David V. Conti
- Department of Preventive Medicine and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Fredrick R. Schumacher
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH
| | - Lisa B. Signorello
- Department of Epidemiology, Harvard School of Public Health, and the Channing Division of Network Medicine, Harvard Medical School, Boston, MA
| | - William J. Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | - Krista A. Zanetti
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda MD
| | - Curtis Harris
- Laboratory of Human Carcinogenesis, National Cancer Institute, National Institutes of Health, Bethesda MD
| | - Mala Pande
- Department of Gastroenterology, Hepatology & Nutrition, the University of Texas M. D. Anderson Cancer Center, Houston, TX
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Polly A. Newcomb
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Dee W. West
- Cancer Prevention Institute of California, Fremont, CA
| | | | - Daniel O. Stram
- Department of Preventive Medicine and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Jane C. Figueiredo
- Department of Preventive Medicine and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles CA
| | | | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
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17
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Du M, Jiao S, Bien SA, Gala M, Abecasis G, Bezieau S, Brenner H, Butterbach K, Caan BJ, Carlson CS, Casey G, Chang-Claude J, Conti DV, Curtis KR, Duggan D, Gallinger S, Haile RW, Harrison TA, Hayes RB, Hoffmeister M, Hopper JL, Hudson TJ, Jenkins MA, Küry S, Le Marchand L, Leal SM, Newcomb PA, Nickerson DA, Potter JD, Schoen RE, Schumacher FR, Seminara D, Slattery ML, Hsu L, Chan AT, White E, Berndt SI, Peters U. Fine-Mapping of Common Genetic Variants Associated with Colorectal Tumor Risk Identified Potential Functional Variants. PLoS One 2016; 11:e0157521. [PMID: 27379672 PMCID: PMC4933364 DOI: 10.1371/journal.pone.0157521] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Accepted: 06/01/2016] [Indexed: 01/27/2023] Open
Abstract
Genome-wide association studies (GWAS) have identified many common single nucleotide polymorphisms (SNPs) associated with colorectal cancer risk. These SNPs may tag correlated variants with biological importance. Fine-mapping around GWAS loci can facilitate detection of functional candidates and additional independent risk variants. We analyzed 11,900 cases and 14,311 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colon Cancer Family Registry. To fine-map genomic regions containing all known common risk variants, we imputed high-density genetic data from the 1000 Genomes Project. We tested single-variant associations with colorectal tumor risk for all variants spanning genomic regions 250-kb upstream or downstream of 31 GWAS-identified SNPs (index SNPs). We queried the University of California, Santa Cruz Genome Browser to examine evidence for biological function. Index SNPs did not show the strongest association signals with colorectal tumor risk in their respective genomic regions. Bioinformatics analysis of SNPs showing smaller P-values in each region revealed 21 functional candidates in 12 loci (5q31.1, 8q24, 11q13.4, 11q23, 12p13.32, 12q24.21, 14q22.2, 15q13, 18q21, 19q13.1, 20p12.3, and 20q13.33). We did not observe evidence of additional independent association signals in GWAS-identified regions. Our results support the utility of integrating data from comprehensive fine-mapping with expanding publicly available genomic databases to help clarify GWAS associations and identify functional candidates that warrant more onerous laboratory follow-up. Such efforts may aid the eventual discovery of disease-causing variant(s).
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Affiliation(s)
- Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- * E-mail: (MD); (UP)
| | - Shuo Jiao
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Stephanie A. Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- School of Public Health, University of Washington, Seattle, WA, United States of America
| | - Manish Gala
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Goncalo Abecasis
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, United States of America
| | | | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Katja Butterbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bette J. Caan
- Division of Research, Kaiser Permanente Medical Care Program of Northern California, Oakland, CA, United States of America
| | - Christopher S. Carlson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Graham Casey
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David V. Conti
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Keith R. Curtis
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - David Duggan
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Steven Gallinger
- Department of Surgery, Mount Sinai Hospital, Toronto, ON, Canada
| | - Robert W. Haile
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Tabitha A. Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Richard B. Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, United States of America
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - John L. Hopper
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Thomas J. Hudson
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Departments of Medical Biophysics and Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Mark A. Jenkins
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Sébastien Küry
- Service de Génétique Médicale, CHU Nantes, Nantes, France
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States of America
| | - Suzanne M. Leal
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States of America
| | - Polly A. Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- School of Public Health, University of Washington, Seattle, WA, United States of America
| | - Deborah A. Nickerson
- Genome Sciences, University of Washington, Seattle, WA, United States of America
| | - John D. Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- School of Public Health, University of Washington, Seattle, WA, United States of America
- Centre for Public Health Research, Massey University, Wellington, New Zealand
| | - Robert E. Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States of America
| | - Fredrick R. Schumacher
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Daniela Seminara
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, United States of America
| | - Martha L. Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT, United States of America
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Andrew T. Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- School of Public Health, University of Washington, Seattle, WA, United States of America
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- School of Public Health, University of Washington, Seattle, WA, United States of America
- * E-mail: (MD); (UP)
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18
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Schmit SL, Schumacher FR, Edlund CK, Conti DV, Ihenacho U, Wan P, Van Den Berg D, Casey G, Fortini BK, Lenz HJ, Tusié-Luna T, Aguilar-Salinas CA, Moreno-Macías H, Huerta-Chagoya A, Ordóñez-Sánchez ML, Rodríguez-Guillén R, Cruz-Bautista I, Rodríguez-Torres M, Muñóz-Hernández LL, Arellano-Campos O, Gómez D, Alvirde U, González-Villalpando C, González-Villalpando ME, Le Marchand L, Haiman CA, Figueiredo JC. Genome-wide association study of colorectal cancer in Hispanics. Carcinogenesis 2016; 37:547-556. [PMID: 27207650 PMCID: PMC4876992 DOI: 10.1093/carcin/bgw046] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Accepted: 04/13/2016] [Indexed: 01/01/2023] Open
Abstract
This manuscript describes the first large-scale genome-wide association study of colorectal cancer in Hispanics and Latinos. Our results demonstrate the broad replication of known susceptibility regions and the importance of fine-mapping in ethnic minority populations. Genome-wide association studies (GWAS) have identified 58 susceptibility alleles across 37 regions associated with the risk of colorectal cancer (CRC) with P < 5×10−8. Most studies have been conducted in non-Hispanic whites and East Asians; however, the generalizability of these findings and the potential for ethnic-specific risk variation in Hispanic and Latino (HL) individuals have been largely understudied. We describe the first GWAS of common genetic variation contributing to CRC risk in HL (1611 CRC cases and 4330 controls). We also examine known susceptibility alleles and implement imputation-based fine-mapping to identify potential ethnicity-specific association signals in known risk regions. We discovered 17 variants across 4 independent regions that merit further investigation due to suggestive CRC associations (P < 1×10−6) at 1p34.3 (rs7528276; Odds Ratio (OR) = 1.86 [95% confidence interval (CI): 1.47–2.36); P = 2.5×10−7], 2q23.3 (rs1367374; OR = 1.37 (95% CI: 1.21–1.55); P = 4.0×10−7), 14q24.2 (rs143046984; OR = 1.65 (95% CI: 1.36–2.01); P = 4.1×10−7) and 16q12.2 [rs142319636; OR = 1.69 (95% CI: 1.37–2.08); P=7.8×10−7]. Among the 57 previously published CRC susceptibility alleles with minor allele frequency ≥1%, 76.5% of SNPs had a consistent direction of effect and 19 (33.3%) were nominally statistically significant (P < 0.05). Further, rs185423955 and rs60892987 were identified as novel secondary susceptibility variants at 3q26.2 (P = 5.3×10–5) and 11q12.2 (P = 6.8×10−5), respectively. Our findings demonstrate the importance of fine mapping in HL. These results are informative for variant prioritization in functional studies and future risk prediction modeling in minority populations.
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Affiliation(s)
- Stephanie L Schmit
- Department of Preventive Medicine.,University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA.,Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Fredrick R Schumacher
- Department of Preventive Medicine.,University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Christopher K Edlund
- Department of Preventive Medicine.,University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - David V Conti
- Department of Preventive Medicine.,University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Ugonna Ihenacho
- Department of Preventive Medicine.,University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Peggy Wan
- Department of Preventive Medicine.,University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | | | - Graham Casey
- Department of Preventive Medicine.,University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Barbara K Fortini
- Department of Biology, Claremont McKenna College, Claremont, CA 91711, USA
| | - Heinz-Josef Lenz
- Department of Preventive Medicine.,University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Teresa Tusié-Luna
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Sección XVI, Tlalpan, 14000 México City, México.,Instituto de Investigaciones Biomédicas, UNAM. Unidad de Biología Molecular y Medicina Genómica, UNAM/INCMNSZ, Coyoacán, 04510 México City, México
| | - Carlos A Aguilar-Salinas
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Sección XVI, Tlalpan, 14000 México City, México
| | | | - Alicia Huerta-Chagoya
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Sección XVI, Tlalpan, 14000 México City, México.,Instituto de Investigaciones Biomédicas, UNAM. Unidad de Biología Molecular y Medicina Genómica, UNAM/INCMNSZ, Coyoacán, 04510 México City, México
| | | | | | | | | | | | - Olimpia Arellano-Campos
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Sección XVI, Tlalpan, 14000 México City, México
| | - Donají Gómez
- Universidad Autónoma Metropolitana, Tlalpan 14387, México City, México
| | - Ulices Alvirde
- Universidad Autónoma Metropolitana, Tlalpan 14387, México City, México
| | - Clicerio González-Villalpando
- Unidad de Investigación en Diabetes, Instituto Nacional de Salud Pública, México City, México.,Centro de Estudios en Diabetes, 01120 México City, México and
| | | | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Christopher A Haiman
- Department of Preventive Medicine.,University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Jane C Figueiredo
- Department of Preventive Medicine.,University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
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19
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Wang H, Iwasaki M, Haiman CA, Kono S, Wilkens LR, Keku TO, Berndt SI, Tsugane S, Le Marchand L. Interaction between Red Meat Intake and NAT2 Genotype in Increasing the Risk of Colorectal Cancer in Japanese and African Americans. PLoS One 2015; 10:e0144955. [PMID: 26683305 PMCID: PMC4684304 DOI: 10.1371/journal.pone.0144955] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Accepted: 11/25/2015] [Indexed: 01/28/2023] Open
Abstract
Heterocyclic aromatic amines formed in cooked meat may be an underlying mechanism for the red meat-colorectal cancer (CRC) association. These compounds require bioactivaction by N-acetyltransferase 2 (NAT2). An interaction effect between red meat consumption and NAT2 in increasing CRC risk has been inconsistently reported in whites. We investigated this interaction in two populations in which the high-activity rapid NAT2 phenotype is 10- and 2-fold more common than in whites. We meta-analyzed four studies of Japanese (2,217 cases, 3,788 controls) and three studies of African Americans (527 cases, 4,527 controls). NAT2 phenotype was inferred from an optimized seven-SNP genotyping panel. Processed and total red meat intakes were associated with an increased CRC risk in Japanese and in both ethnic groups combined (P’s ≤ 0.002). We observed an interaction between processed meat intake and NAT2 in Japanese (P = 0.04), African Americans (P = 0.02), and in both groups combined (P = 0.006). The association of processed meat with CRC was strongest among individuals with the rapid NAT2 phenotype (combined analysis, OR for highest vs. lowest quartile: 1.62, 95% CI: 1.28–2.05; Ptrend = 8.0×10−5), intermediate among those with the intermediate NAT2 phenotype (1.29, 95% CI: 1.05–1.59; Ptrend = 0.05) and null among those with the slow phenotype (Ptrend = 0.45). A similar interaction was found for NAT2 and total red meat (Pinteraction = 0.03). Our findings support a role for NAT2 in modifying the association between red meat consumption and CRC in Japanese and African Americans.
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Affiliation(s)
- Hansong Wang
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Motoki Iwasaki
- Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America
| | - Suminori Kono
- Department of Preventive Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Lynne R. Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Temitope O. Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Shoichiro Tsugane
- Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
- * E-mail:
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20
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Li L, Lv L, Liang Y, Shen X, Zhou S, Zhu J, Ma R. Association of 8q23-24 region (8q23.3 loci and 8q24.21 loci) with susceptibility to colorectal cancer: a systematic and updated meta-analysis. Int J Clin Exp Med 2015; 8:21001-21013. [PMID: 26885031 PMCID: PMC4723876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 06/02/2015] [Indexed: 06/05/2023]
Abstract
BACKGROUND Several single nucleotide polymorphisms (SNPs), rs16892766 in the 8q23.3 region and rs6983267, rs10505477, rs7014346 and rs7837328 in the 8q24.21 region, have been identified by genome-wide association studies (GWAS) and a number of case-control studies to be closely associated with risk of colorectal cancer (CRC). In the present study, a meta-analysis was performed to confirm if these loci are risk factors for susceptibility to CRC, taking heterogeneity of population into consideration. METHODS The whole literature search was conducted via database of MEDLINE and Embase, through which 33 articles with 49 studies (141,899 cases and 157,536 controls) were finally included in this meta-analysis to evaluate the association between the 5 polymorphisms and risk of CRC under allelic model. RESULTS A meta-analysis of the pooled data showed that the G allele of rs6983267, the A allele of rs7014346, the T allele of rs10505477, the C allele of rs16892766 and the A allele of rs7837328 were associated with significantly increased risk of CRC under allelic model. Additionally, subgroup analyses of four SNPs (rs7837328 excluded) by ethnicity witnessed a notable association between the G allele of rs6983267 and increased risk of CRC among Caucasians, Asians and Africans. Furthermore, the C allele of rs16892766 was strongly linked with elevated risk of CRC among Caucasians and Africans. However, the A allele of rs7014346 and T allele of rs10505477 only heightened risk for CRC among Caucasians and showed no effects among Asians. CONCLUSION In summary, rs6983267 is a risk factor for CRC among Caucasians, Asians and Africans; rs7014346 and rs10505477 are risky genetic polymorphisms only among Caucasians; rs16892766 is a hazardous element among populations with Caucasian and African ancestry; and rs7837328 could elevate the susceptibility to CRC in a multinational group. However, more potential factors related with CRC risk should be investigated in further studies.
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Affiliation(s)
- Linlin Li
- Department of Internal Medicine, Liaoning Cancer Hospital & InstituteShenyang 110042, China
| | - Li Lv
- Department of Pathology, Second Affiliated Hospital, Dalian Medical UniversityDalian 116023, China
| | - Yuan Liang
- Department of Internal Medicine, Liaoning Cancer Hospital & InstituteShenyang 110042, China
| | - Xiaoyu Shen
- Department of Internal Medicine, Liaoning Cancer Hospital & InstituteShenyang 110042, China
| | - Shishi Zhou
- Department of Internal Medicine, Liaoning Cancer Hospital & InstituteShenyang 110042, China
| | - Jia Zhu
- Department of Endoscopy, Liaoning Cancer Hospital & InstituteShenyang 110042, China
| | - Rui Ma
- Department of Internal Medicine, Liaoning Cancer Hospital & InstituteShenyang 110042, China
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Abstract
Colorectal cancer (CRC) is a complex disease that develops as a consequence of both genetic and environmental risk factors. A small proportion (3-5%) of cases arise from hereditary syndromes predisposing to early onset CRC as a result of mutations in over a dozen well defined genes. In contrast, CRC is predominantly a late onset 'sporadic' disease, developing in individuals with no obvious hereditary syndrome. In recent years, genome wide association studies have discovered that over 40 genetic regions are associated with weak effects on sporadic CRC, and it has been estimated that increasingly large genome wide scans will identify many additional novel genetic regions. Subsequent experimental validations have identified the causally related variant(s) in a limited number of these genetic regions. Further biological insight could be obtained through ethnically diverse study populations, larger genetic sequencing studies and development of higher throughput functional experiments. Along with inherited variation, integration of the tumour genome may shed light on the carcinogenic processes in CRC. In addition to summarising the genetic architecture of CRC, this review discusses genetic factors that modify environmental predictors of CRC, as well as examples of how genetic insight has improved clinical surveillance, prevention and treatment strategies. In summary, substantial progress has been made in uncovering the genetic architecture of CRC, and continued research efforts are expected to identify additional genetic risk factors that further our biological understanding of this disease. Subsequently these new insights will lead to improved treatment and prevention of colorectal cancer.
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Affiliation(s)
- Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Stephanie Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Niha Zubair
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
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22
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He D, Ma L, Feng R, Zhang L, Jiang Y, Zhang Y, Liu G. Analyzing large-scale samples highlights significant association between rs10411210 polymorphism and colorectal cancer. Biomed Pharmacother 2015; 74:164-8. [DOI: 10.1016/j.biopha.2015.08.023] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Revised: 07/07/2015] [Accepted: 08/04/2015] [Indexed: 12/21/2022] Open
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23
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Hulur I, Gamazon ER, Skol AD, Xicola RM, Llor X, Onel K, Ellis NA, Kupfer SS. Enrichment of inflammatory bowel disease and colorectal cancer risk variants in colon expression quantitative trait loci. BMC Genomics 2015; 16:138. [PMID: 25766683 PMCID: PMC4351699 DOI: 10.1186/s12864-015-1292-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2014] [Accepted: 01/29/2015] [Indexed: 12/20/2022] Open
Abstract
Background Genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) associated with diseases of the colon including inflammatory bowel diseases (IBD) and colorectal cancer (CRC). However, the functional role of many of these SNPs is largely unknown and tissue-specific resources are lacking. Expression quantitative trait loci (eQTL) mapping identifies target genes of disease-associated SNPs. This study provides a comprehensive eQTL map of distal colonic samples obtained from 40 healthy African Americans and demonstrates their relevance for GWAS of colonic diseases. Results 8.4 million imputed SNPs were tested for their associations with 16,252 expression probes representing 12,363 unique genes. 1,941 significant cis-eQTL, corresponding to 122 independent signals, were identified at a false discovery rate (FDR) of 0.01. Overall, among colon cis-eQTL, there was significant enrichment for GWAS variants for IBD (Crohn’s disease [CD] and ulcerative colitis [UC]) and CRC as well as type 2 diabetes and body mass index. ERAP2, ADCY3, INPP5E, UBA7, SFMBT1, NXPE1 and REXO2 were identified as target genes for IBD-associated variants. The CRC-associated eQTL rs3802842 was associated with the expression of C11orf93 (COLCA2). Enrichment of colon eQTL near transcription start sites and for active histone marks was demonstrated, and eQTL with high population differentiation were identified. Conclusions Through the comprehensive study of eQTL in the human colon, this study identified novel target genes for IBD- and CRC-associated genetic variants. Moreover, bioinformatic characterization of colon eQTL provides a tissue-specific tool to improve understanding of biological differences in diseases between different ethnic groups. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1292-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Imge Hulur
- Committee on Genetics, Genomics and Systems Biology, Chicago, IL, 60637, USA.
| | - Eric R Gamazon
- Department of Medicine, 900 East 57th Street, MB#9, Chicago, IL, 60637, USA. .,Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, 37232, USA.
| | - Andrew D Skol
- Department of Medicine, 900 East 57th Street, MB#9, Chicago, IL, 60637, USA.
| | - Rosa M Xicola
- Department of Medicine, Yale University, New Haven, CT, 06510, USA.
| | - Xavier Llor
- Department of Medicine, Yale University, New Haven, CT, 06510, USA.
| | - Kenan Onel
- Department of Pediatrics, University of Chicago, Chicago, IL, 60637, USA.
| | - Nathan A Ellis
- University of Arizona Cancer Center, Tucson, AZ, 85724, USA.
| | - Sonia S Kupfer
- Department of Medicine, 900 East 57th Street, MB#9, Chicago, IL, 60637, USA.
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24
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Zhou L, Xie J, Gu EL, Huang Y, Qu Y, Xu AP, Zhu Y, Wang H. Common genetic variant on BMP4 contributes to colorectal adenoma and cancer: A meta-analysis based on 15 studies. Cytokine 2015; 72:154-9. [PMID: 25647270 DOI: 10.1016/j.cyto.2014.12.021] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2014] [Revised: 12/05/2014] [Accepted: 12/25/2014] [Indexed: 12/21/2022]
Abstract
Epidemiological studies indicate a genetic contribution to colorectal cancer (CRC), but specific genetic variants remain unknown. Genome-wide association studies have identified rs4444235 at BMP4 as a new colorectal cancer (CRC) and colorectal adenoma (CRA) susceptibility locus in populations of European descent. After that, several validation studies have been conducted among various ethnic populations to investigate if the SNP was associated with CRC/CRA, but the results have been inconsistent. To investigate this inconsistency and derive a more precise estimation of the relationship, a meta-analysis involving 54,631 CRC cases, 3995 CRA cases and 88,098 controls from 15 studies was performed. Potential sources of heterogeneity including ethnicity, sample size, study design and endpoint were also assessed. Overall, the summary OR of CRC was 1.06 (95% CI: 1.04-1.08, P<10(-5)). In the subgroup analysis by ethnicity, significantly increased risks were found in East Asians (OR=1.07, 95% CI: 1.01-1.12, P=0.01) and Caucasians (OR=1.07, 95% CI: 1.05-1.10, P<10(-5)); while no significant associations were found among African Americans and other ethnic populations in all genetic models. In addition, significant associations were also detected for CRA with per-allele OR of 1.09 (95% CI: 1.03-1.14, P=0.001). Our findings demonstrated that BMP4-rs4444235 is a risk factor associated with increased CRC and CRA susceptibility, but these associations vary in different ethnic populations.
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Affiliation(s)
- Lei Zhou
- Department of Gastroenterology, Jing'an District Centre Hospital of Shanghai (Huashan Hospital Fudan University Jing'an Branch), 200040, PR China
| | - Jun Xie
- Department of Gastroenterology, Jing'an District Centre Hospital of Shanghai (Huashan Hospital Fudan University Jing'an Branch), 200040, PR China
| | - Er-li Gu
- Department of Gastroenterology, Jing'an District Centre Hospital of Shanghai (Huashan Hospital Fudan University Jing'an Branch), 200040, PR China
| | - Yao Huang
- Department of Gastroenterology, Jing'an District Centre Hospital of Shanghai (Huashan Hospital Fudan University Jing'an Branch), 200040, PR China
| | - Yan Qu
- Department of Gastroenterology, Jing'an District Centre Hospital of Shanghai (Huashan Hospital Fudan University Jing'an Branch), 200040, PR China
| | - Ai-Ping Xu
- Department of Gastroenterology, Jing'an District Centre Hospital of Shanghai (Huashan Hospital Fudan University Jing'an Branch), 200040, PR China
| | - Yin Zhu
- Department of Gastroenterology, Jing'an District Centre Hospital of Shanghai (Huashan Hospital Fudan University Jing'an Branch), 200040, PR China
| | - Hong Wang
- Department of Gastroenterology, Jing'an District Centre Hospital of Shanghai (Huashan Hospital Fudan University Jing'an Branch), 200040, PR China.
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Analyzing large-scale samples confirms the association between rs16892766 polymorphism and colorectal cancer susceptibility. Sci Rep 2015; 5:7957. [PMID: 25609216 PMCID: PMC4302297 DOI: 10.1038/srep07957] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2014] [Accepted: 12/24/2014] [Indexed: 12/25/2022] Open
Abstract
Colorectal cancer (CRC) is a common complex disease caused by the combination of genetic variants and environmental factors. Genome-wide association studies (GWAS) have been performed and reported some novel CRC susceptibility variants. The rs16892766 (8q23.3) polymorphism was first identified to be significantly associated with CRC in European ancestry. The following studies investigated this association in Chinese, Japanese, Romanian, Swedish, African American, European American, and Croatian populations. These studies reported consistent and inconsistent results. Here, we reevaluated this association using the relatively large-scale samples from 13 studies (N = 59737, 26237 cases and 33500 controls) using a meta-analysis by searching the PubMed, Google Scholar and CRCgene databases. We observed no significant heterogeneity among the included studies. Our results showed significant association between rs16892766 polymorphism and CRC (P = 1.33E-35, OR = 1.23, 95% CI 1.20-1.27). Collectively, our analysis further supports previous findings that the rs16892766 polymorphism is significantly associated with CRC susceptibility. We believe that our findings will be very useful for future genetic studies on CRC.
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26
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Ananthakrishnan AN, Du M, Berndt SI, Brenner H, Caan BJ, Casey G, Chang-Claude J, Duggan D, Fuchs CS, Gallinger S, Giovannucci EL, Harrison TA, Hayes RB, Hoffmeister M, Hopper JL, Hou L, Hsu L, Jenkins MA, Kraft P, Ma J, Nan H, Newcomb PA, Ogino S, Potter JD, Seminara D, Slattery ML, Thornquist M, White E, Wu K, Peters U, Chan AT. Red meat intake, NAT2, and risk of colorectal cancer: a pooled analysis of 11 studies. Cancer Epidemiol Biomarkers Prev 2015; 24:198-205. [PMID: 25342387 PMCID: PMC4294960 DOI: 10.1158/1055-9965.epi-14-0897] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Red meat intake has been associated with risk of colorectal cancer, potentially mediated through heterocyclic amines. The metabolic efficiency of N-acetyltransferase 2 (NAT2) required for the metabolic activation of such amines is influenced by genetic variation. The interaction between red meat intake, NAT2 genotype, and colorectal cancer has been inconsistently reported. METHODS We used pooled individual-level data from the Colon Cancer Family Registry and the Genetics and Epidemiology of Colorectal Cancer Consortium. Red meat intake was collected by each study. We inferred NAT2 phenotype based on polymorphism at rs1495741, highly predictive of enzyme activity. Interaction was assessed using multiplicative interaction terms in multivariate-adjusted models. RESULTS From 11 studies, 8,290 colorectal cancer cases and 9,115 controls were included. The highest quartile of red meat intake was associated with increased risk of colorectal cancer compared with the lowest quartile [OR, 1.41; 95% confidence interval (CI), 1.29-1.55]. However, a significant association was observed only for studies with retrospective diet data, not for studies with diet prospectively assessed before cancer diagnosis. Combining all studies, high red meat intake was similarly associated with colorectal cancer in those with a rapid/intermediate NAT2 genotype (OR, 1.38; 95% CI, 1.20-1.59) as with a slow genotype (OR, 1.43; 95% CI, 1.28-1.61; P interaction = 0.9). CONCLUSION We found that high red meat intake was associated with increased risk of colorectal cancer only from retrospective case-control studies and not modified by NAT2 enzyme activity. IMPACT Our results suggest no interaction between NAT2 genotype and red meat intake in mediating risk of colorectal cancer.
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Affiliation(s)
| | - Mengmeng Du
- Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Sonja I Berndt
- National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany. German Cancer Consortium, Heidelberg, Germany
| | | | - Graham Casey
- University of Southern California, Los Angeles, California
| | - Jenny Chang-Claude
- German Cancer Consortium, Heidelberg, Germany. Division of Cancer Epidemiology, German Cancer Research Center (DFKZ), Heidelberg, Germany
| | - David Duggan
- Translational Genomics Research Institute, Phoenix, Arizona
| | - Charles S Fuchs
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts. Channing Division of Network Medicine, Boston, Massachusetts
| | - Steven Gallinger
- Mount Sinai Hospital and University Health Network Toronto General Hospital, Toronto, Canada
| | - Edward L Giovannucci
- Channing Division of Network Medicine, Boston, Massachusetts. Harvard School of Public Health, Boston, Massachusetts
| | | | | | | | - John L Hopper
- Melbourne School of Population Health, The University of Melbourne, Australia
| | - Lifang Hou
- Department of Preventive Medicine and The Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Li Hsu
- Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Mark A Jenkins
- Melbourne School of Population Health, The University of Melbourne, Australia
| | - Peter Kraft
- Harvard School of Public Health, Boston, Massachusetts
| | - Jing Ma
- Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts. Channing Division of Network Medicine, Boston, Massachusetts
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana
| | | | - Shuji Ogino
- Channing Division of Network Medicine, Boston, Massachusetts. Harvard School of Public Health, Boston, Massachusetts. Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - John D Potter
- Fred Hutchinson Cancer Research Center, Seattle, Washington. University of Washington School of Public Health, Seattle, Washington. Centre for Public Health Research, Massey University, Wellington, New Zealand
| | - Daniela Seminara
- National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | | | | | - Emily White
- Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Kana Wu
- Channing Division of Network Medicine, Boston, Massachusetts. Harvard School of Public Health, Boston, Massachusetts
| | - Ulrike Peters
- Fred Hutchinson Cancer Research Center, Seattle, Washington. University of Washington School of Public Health, Seattle, Washington.
| | - Andrew T Chan
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
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Common genetic variants (rs4779584 and rs10318) at 15q13.3 contributes to colorectal adenoma and colorectal cancer susceptibility: evidence based on 22 studies. Mol Genet Genomics 2014; 290:901-12. [PMID: 25475391 DOI: 10.1007/s00438-014-0970-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2014] [Accepted: 11/25/2014] [Indexed: 01/20/2023]
Abstract
Several genome-wide association studies on colorectal cancer (CRC) have reported similar findings of a new susceptibility locus, 15q13.3. After that, a number of studies have reported that the rs4779584 and rs10318 polymorphisms at chromosome 15q13.3 have been implicated in CRC and colorectal adenoma (CRA) risk; however, these studies have yielded inconsistent results. To investigate this inconsistency, we performed a meta-analysis of 22 studies involving a total of 48,468 CRC cases, 4,189 CRA cases, and 85,105 controls for the two polymorphisms to evaluate its effect on genetic susceptibility for CRC/CRA. Potential sources of heterogeneity and publication bias were also systematically explored. Overall, the summary odds ratio (OR) of rs4779584-T variant for CRC was 1.13 (95 % CI 1.09-1.16, P < 10(-5)) and 1.15 (95 % CI 1.04-1.28, P = 0.006) for CRA. After stratified by ethnicity, significantly increased CRC risks were found for rs4779584 polymorphism among East Asians and Caucasians, while no significant associations were detected among African American and other ethnic populations. A meta-analysis of studies on the rs10318 polymorphism also showed significant overall association with CRC, yielding a per-allele OR of 1.13 (95 % CI 1.02-1.24, P = 0.02). In the subgroup analysis by ethnicity, significantly increased CRC risks were found in Caucasians; whereas no significant associations were found among East Asians and African Americans. This meta-analysis demonstrated that the rs4779584 and rs10318 polymorphism at 15q13.3 is a risk factor associated with increased CRC/CRA susceptibility, but these associations vary in different ethnic populations.
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28
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Quantitative assessment of the influence of common variation rs16892766 at 8q23.3 with colorectal adenoma and cancer susceptibility. Mol Genet Genomics 2014; 290:461-9. [DOI: 10.1007/s00438-014-0928-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Accepted: 09/19/2014] [Indexed: 01/04/2023]
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29
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Wang H, Burnett T, Kono S, Haiman CA, Iwasaki M, Wilkens LR, Loo LW, Berg DVD, Kolonel LN, Henderson BE, Keku TO, Sandler RS, Signorello LB, Blot WJ, Newcomb PA, Pande M, Amos CI, West DW, Bézieau S, Berndt SI, Zanke BW, Hsu L, Lindor NM, Haile RW, Hopper JL, Jenkins MA, Gallinger S, Casey G, Stenzel SL, Schumacher FR, Peters U, Gruber SB, Tsugane S, Stram DO, Marchand LL. Trans-ethnic genome-wide association study of colorectal cancer identifies a new susceptibility locus in VTI1A. Nat Commun 2014; 5:4613. [PMID: 25105248 PMCID: PMC4180879 DOI: 10.1038/ncomms5613] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Accepted: 07/07/2014] [Indexed: 01/20/2023] Open
Abstract
The genetic basis of sporadic colorectal cancer (CRC) is not well explained by known risk polymorphisms. Here we perform a meta-analysis of two genome-wide association studies in 2,627 cases and 3,797 controls of Japanese ancestry and 1,894 cases and 4,703 controls of African ancestry, to identify genetic variants that contribute to CRC susceptibility. We replicate genome-wide statistically significant associations (P<5 × 10(-8)) in 16,823 cases and 18,211 controls of European ancestry. This study reveals a new pan-ethnic CRC risk locus at 10q25 (rs12241008, intronic to VTI1A; P=1.4 × 10(-9)), providing additional insight into the aetiology of CRC and highlighting the value of association mapping in diverse populations.
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Affiliation(s)
- Hansong Wang
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Terrilea Burnett
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Suminori Kono
- Department of Preventive Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
| | - Motoki Iwasaki
- Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan
| | - Lynne R. Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Lenora W.M. Loo
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - David Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
| | | | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
| | - Temitope O. Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC
| | - Robert S. Sandler
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC
| | - Lisa B. Signorello
- Department of Epidemiology, Harvard School of Public Health, and the Channing Division of Network Medicine, Harvard Medical School, Boston, MA and Dana-Farber/Harvard Cancer Center, Boston, MA
| | - William J. Blot
- Division of Epidemiology, Vanderbilt University Medical Center/Vanderbilt-Ingram Cancer Center, Nashville, TN and International Epidemiology Institute, Rockville, MD
| | - Polly A. Newcomb
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Mala Pande
- Department of Gastroenterolgy - Research, the University of Texas M. D. Anderson Cancer Center, Houston, TX
| | - Christopher I. Amos
- Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH
| | - Dee W. West
- Cancer Prevention Institute of California, Fremont, CA
| | | | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Brent W. Zanke
- Division of Hematology, Faculty of Medicine, University of Ottawa and Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Li Hsu
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Noralane M. Lindor
- Department of Health Science Research, Mayo Clinic Arizona, Scottsdale, AZ
| | | | - John L. Hopper
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, Melbourne School of Population and Global Health, University of Melbourne, Australia
| | - Mark A. Jenkins
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, Melbourne School of Population and Global Health, University of Melbourne, Australia
| | | | - Graham Casey
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
| | | | - Stephanie L. Stenzel
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
| | - Fredrick R. Schumacher
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
| | - Ulrike Peters
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Stephen B. Gruber
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
| | | | - Shoichiro Tsugane
- Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan
| | - Daniel O. Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
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Kupfer SS, Skol AD, Hong E, Ludvik A, Kittles RA, Keku TO, Sandler RS, Ellis NA. Shared and independent colorectal cancer risk alleles in TGFβ-related genes in African and European Americans. Carcinogenesis 2014; 35:2025-30. [PMID: 24753543 DOI: 10.1093/carcin/bgu088] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Genome-wide association studies (GWAS) in colorectal cancer (CRC) identified five regions near transforming growth factor β-related genes BMP4, GREM1, CDH1, SMAD7 and RPHN2. The true risk alleles remain to be identified in these regions, and their role in CRC risk in non-European populations has been understudied. Our previous work noted significant genetic heterogeneity between African Americans (AAs) and European Americans (EAs) for single nucleotide polymorphisms (SNPs) identified in GWAS. We hypothesized that associations may not have been replicated in AAs due to differential or independent genetic structures. In order to test this hypothesis, we genotyped 195 tagging SNPs across these five gene regions in 1194 CRC cases (795 AAs and 399 EAs) and 1352 controls (985 AAs and 367 EAs). Imputation was performed, and association testing of genotyped and imputed SNPs included ancestry, age and sex as covariates. In two of the five genes originally associated with CRC, we found evidence for association in AAs including rs1862748 in CDH1 (OR(Add) = 0.82, P = 0.02) and in GREM1 the SNPs rs10318 (OR(Rec) = 60.1, P = 0.01), rs11632715 (OR(Rec) = 2.36; P = 0.004) and rs12902616 (OR(Rec) = 1.28, P = 0.005), the latter which is in linkage disequilibrium with the previously identified SNP rs4779584. Testing more broadly for associations in these gene regions in AAs, we noted three statistically significant association peaks in GREM1 and RHPN2 that were not identified in EAs. We conclude that some CRC risk alleles are shared between EAs and AAs and others are population specific.
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Affiliation(s)
- Sonia S Kupfer
- Department of Medicine, University of Chicago Medicine, 900 E. 57th Street, MB #9, Chicago, IL 60637, USA, Department of Medicine, University of Illinois Chicago, 900 S. Ashland Avenue, MC 767, Chicago, IL 60607, USA, Department of Medicine, University of North Carolina, 130 Mason Farm Road, Bioinformatics Building CB# 7080, Chapel Hill, NC 27599, USA and Department of Cellular and Molecular Medicine, University of Arizona, 1515 N. Campbell Avenue, Tucson, AZ 85724, USA
| | - Andrew D Skol
- Department of Medicine, University of Chicago Medicine, 900 E. 57th Street, MB #9, Chicago, IL 60637, USA, Department of Medicine, University of Illinois Chicago, 900 S. Ashland Avenue, MC 767, Chicago, IL 60607, USA, Department of Medicine, University of North Carolina, 130 Mason Farm Road, Bioinformatics Building CB# 7080, Chapel Hill, NC 27599, USA and Department of Cellular and Molecular Medicine, University of Arizona, 1515 N. Campbell Avenue, Tucson, AZ 85724, USA
| | - Ellie Hong
- Department of Medicine, University of Chicago Medicine, 900 E. 57th Street, MB #9, Chicago, IL 60637, USA, Department of Medicine, University of Illinois Chicago, 900 S. Ashland Avenue, MC 767, Chicago, IL 60607, USA, Department of Medicine, University of North Carolina, 130 Mason Farm Road, Bioinformatics Building CB# 7080, Chapel Hill, NC 27599, USA and Department of Cellular and Molecular Medicine, University of Arizona, 1515 N. Campbell Avenue, Tucson, AZ 85724, USA
| | - Anton Ludvik
- Department of Medicine, University of Chicago Medicine, 900 E. 57th Street, MB #9, Chicago, IL 60637, USA, Department of Medicine, University of Illinois Chicago, 900 S. Ashland Avenue, MC 767, Chicago, IL 60607, USA, Department of Medicine, University of North Carolina, 130 Mason Farm Road, Bioinformatics Building CB# 7080, Chapel Hill, NC 27599, USA and Department of Cellular and Molecular Medicine, University of Arizona, 1515 N. Campbell Avenue, Tucson, AZ 85724, USA
| | - Rick A Kittles
- Department of Medicine, University of Illinois Chicago, 900 S. Ashland Avenue, MC 767, Chicago, IL 60607, USA
| | - Temitope O Keku
- Department of Medicine, University of North Carolina, 130 Mason Farm Road, Bioinformatics Building CB# 7080, Chapel Hill, NC 27599, USA and
| | - Robert S Sandler
- Department of Medicine, University of North Carolina, 130 Mason Farm Road, Bioinformatics Building CB# 7080, Chapel Hill, NC 27599, USA and
| | - Nathan A Ellis
- Department of Cellular and Molecular Medicine, University of Arizona, 1515 N. Campbell Avenue, Tucson, AZ 85724, USA
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