Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations

. 2023 Oct 02 ; 14 (1) : 6147. [epub] 20231002

Jazyk angličtina Země Velká Británie, Anglie Médium electronic

Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural

Perzistentní odkaz   https://www.medvik.cz/link/pmid37783704

Grantová podpora
R01 CA059045 NCI NIH HHS - United States
25514 Cancer Research UK - United Kingdom
R01 CA206279 NCI NIH HHS - United States
MC_U127527198 Medical Research Council - United Kingdom
U01 CA137088 NCI NIH HHS - United States
U01 CA206110 NCI NIH HHS - United States
R01 CA244588 NCI NIH HHS - United States
P30 CA008748 NCI NIH HHS - United States
R01 CA201407 NCI NIH HHS - United States
MC_PC_U127527198 Medical Research Council - United Kingdom
U01 HG008657 NHGRI NIH HHS - United States
R01 CA273198 NCI NIH HHS - United States
U01 CA164930 NCI NIH HHS - United States
U01 CA261339 NCI NIH HHS - United States
U01 CA185094 NCI NIH HHS - United States
R01 CA263318 NCI NIH HHS - United States
18927 Cancer Research UK - United Kingdom
MC_UU_00007/1 Medical Research Council - United Kingdom
001 World Health Organization - International

Odkazy

PubMed 37783704
PubMed Central PMC10545678
DOI 10.1038/s41467-023-41819-0
PII: 10.1038/s41467-023-41819-0
Knihovny.cz E-zdroje

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.

Biostatistics Division Kaiser Permanente Washington Health Research Institute Seattle USA

Broad Institute of Harvard and MIT Cambridge MA USA

Cancer Epidemiology Division Cancer Council Victoria Melbourne VIC Australia

Cancer Epidemiology Program H Lee Moffitt Cancer Center and Research Institute Tampa FL USA

Center for Cancer Research Medical University Vienna Vienna Austria

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

Center for Public Health Genomics University of Virginia Charlottesville VA USA

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

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

CIBER Epidemiología y Salud Pública Madrid Spain

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

Colon Cancer Genetics Group Medical Research Council Human Genetics Unit Institute of Genetics and Cancer University of Edinburgh Edinburgh EH4 2XU U Germany

Colorado Center for Personalized Medicine University of Colorado Anschutz Medical Campus Aurora CO USA

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

Colorectal Oncogenomics Group Department of Clinical Pathology The University of Melbourne Parkville VIC 3000 Australia

Danish Institute for Advanced Study Epidemiology Biostatistics and Biodemography Department of Public Health University of Southern Denmark Odense Denmark

Department of Bioinformatics and Medical Education University of Washington Medical Center Seattle WA 98195 USA

Department of Biostatistics School of Public Health Nanjing Medical University Nanjing China

Department of Biostatistics University of Washington Seattle WA USA

Department of Cancer Biomedical Science Graduate School of Cancer Science and Policy National Cancer Center Gyeonggi do South Korea

Department of Clinical Genetics Karolinska University Hospital Stockholm Sweden

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

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

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

Department of Environmental Genomics School of Public Health Nanjing Medical University Nanjing China

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

Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York NY USA

Department of Epidemiology and Health Promotion Graduate School of Public Health Yonsei University Seoul Korea

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

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

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

Department of Epidemiology School of Public Health and Institute of Health and Environment Seoul National University Seoul South Korea

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

Department of Epidemiology University of Washington Seattle WA USA

Department of Family Medicine University of Virginia Charlottesville VA USA

Department of Gastroenterology Biodonostia Health Research Institute Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas San Sebastián Spain

Department of Gastroenterology Kaiser Permanente Medical Center San Francisco CA USA

Department of Gastroenterology Kaiser Permanente San Francisco Medical Center San Francisco CA USA

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

Department of Internal Medicine University of Utah Salt Lake City UT USA

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

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

Department of Medicine 1 University Hospital Dresden Technische Universität Dresden Dresden Germany

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

Department of Medicine and Surgery LUM University Camassima Italy

Department of Medicine Memorial Sloan Kettering Cancer Center New York NY USA

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

Department of Medicine University of Washington Medical Center Seattle WA 98195 USA

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

Department of Molecular Medicine and Surgery Karolinska Institutet Stockholm Sweden

Department of Pathology University of Michigan Ann Arbor MI 48104 USA

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

Department of Population and Quantitative Health Sciences Case Western Reserve University Cleveland OH USA

Department of Population Science American Cancer Society Atlanta GA USA

Department of Preventive Medicine Chonnam National University Medical School Gwangju Korea

Department of Preventive Medicine Seoul National University College of Medicine Seoul National University Cancer Research Institute Seoul South Korea

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

Department of Public Health Erasmus University Medical Center Rotterdam The Netherlands

Department of Radiation Sciences Oncology Unit Umeå University Umeå Sweden

Department of Social and Preventive Medicine Hallym University College of Medicine Okcheon dong South Korea

Departments of Epidemiology and Nutrition Harvard TH Chan School of Public Health Boston MA USA

Digestive Diseases and Microbiota Group Girona Biomedical Research Institute Salt 17190 Girona Spain

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

Division of Cancer Epidemiology and Prevention Aichi Cancer Center Research Institute Nagoya Japan

Division of Cancer Epidemiology German Cancer Research Center Heidelberg Germany

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

Division of Cohort Research National Cancer Center Institute for Cancer Control National Cancer Center Tokyo Japan

Division of Epidemiology Department of Medicine Vanderbilt Epidemiology Center Vanderbilt University Medical Center Nashville TN USA

Division of Epidemiology Department of Population Health New York University School of Medicine New York NY USA

Division of Epidemiology National Cancer Center Institute for Cancer Control National Cancer Center Tokyo Japan

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

Division of Genetics and Epidemiology The Institute of Cancer Reseach London SW7 3RP UK

Division of Human Genetics Department of Internal Medicine The Ohio State University Comprehensive Cancer Center Columbus OH USA

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

Division of Molecular and Clinical Epidemiology Aichi Cancer Center Research Institute Nagoya Japan

Division of Preventive Oncology German Cancer Research Center Heidelberg Germany

Division of Research Kaiser Permanente Northern California Oakland CA USA

Duke Molecular Physiology Institute Duke University Medical Center Durham NC USA

Edinburgh Cancer Research Centre Institute of Genomics and Cancer University of Edinburgh Crewe Road Edinburgh EH4 2XU UK

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

Gastroenterology Department Hospital Clínic Institut d'Investigacions Biomèdiques August Pi i Sunyer University of Barcelona Barcelona Spain

Gastrointestinal Genetics Lab CIC bioGUNE BRTA Derio Spain

Genomic Medicine and Family Cancer Clinic The Royal Melbourne Hospital Parkville VIC 3000 Australia

Genomic Medicine Institute Cleveland Clinic Cleveland OH USA

Huntsman Cancer Institute and Department of Population Health Sciences University of Utah Salt Lake City UT USA

Institute for Health Promotion Graduate School of Public Health Yonsei University Seoul Korea

Institute for Health Research Kaiser Permanente Colorado Denver CO USA

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

Institute of Environmental Medicine Karolinska Institutet Stockholm Sweden

Instituto de Investigacion Sanitaria de Santiago Choupana sn 15706 Santiago de Compostela Spain

Jeonnam Regional Cancer Center Chonnam National University Hwasun Hospital Hwasun Korea

Laboratory of Clinical Genome Sequencing Department of Computational Biology and Medical Sciences Graduate School of Frontier Sciences University of Tokyo Tokyo Japan

Leeds Institute of Cancer and Pathology University of Leeds Leeds UK

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

Moffitt Cancer Center Tampa FL USA

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

National University Cancer Institute Singapore Singapore

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

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

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

Population and Cancer Prevention Program Case Comprehensive Cancer Center Cleveland USA

Public Health Sciences Division Fred Hutchinson Cancer Center Seattle WA 98109 USA

Research Institute and Hospital National Cancer Center Goyang South Korea South Korea

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

Samuel Oschin Comprehensive Cancer Institute CEDARS SINAI Los Angeles CA USA

Slone Epidemiology Center School of Medicine Boston University Boston MA USA

State Key Laboratory of Oncology in South China Cancer Center Sun Yat sen University Guangzhou China

SWOG Statistical Center Fred Hutchinson Cancer Research Center Seattle WA USA

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

University Medical Centre Hamburg Eppendorf University Cancer Centre Hamburg Hamburg Germany

University of Hawaii Cancer Center Honolulu HI USA

University of Melbourne Centre for Cancer Research Victorian Comprehensive Cancer Centre Parkville VIC 3000 Australia

University of Southern California Preventative Medicine Los Angeles CA USA

VA Cooperative Studies Program Epidemiology Center Durham Veterans Affairs Health Care System Durham NC USA

Vanderbilt University Medical Center Nashville TN USA

Wallenberg Centre for Molecular Medicine Umeå University Umeå Sweden

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Murphy CC, et al. Decrease in incidence of colorectal cancer among individuals 50 years or older after recommendations for population-based screening. Clin. Gastroenterol. Hepatol. 2017;15:903–909.e6. PubMed PMC

Hikino K, et al. Genome-wide association study of colorectal polyps identified highly overlapping polygenic architecture with colorectal cancer. J. Hum. Genet. 2022;67:149–156. PubMed

Thomas M, et al. Genome-wide modeling of polygenic risk score in colorectal cancer risk. Am. J. Hum. Genet. 2020;107:432–444. PubMed PMC

Peterson RE, et al. Genome-wide association studies in ancestrally diverse populations: opportunities, methods, pitfalls, and recommendations. Cell. 2019;179:589–603. PubMed PMC

Vassos E, et al. An examination of polygenic score risk prediction in individuals with first-episode psychosis. Biol. Psychiatry. 2017;81:470–477. PubMed

Duncan L, et al. Analysis of polygenic risk score usage and performance in diverse human populations. Nat. Commun. 2019;10:3328. PubMed PMC

Martin AR, et al. Clinical use of current polygenic risk scores may exacerbate health disparities. Nat. Genet. 2019;51:584–591. PubMed PMC

Wojcik GL, et al. Genetic analyses of diverse populations improves discovery for complex traits. Nature. 2019;570:514–518. PubMed PMC

Ping J, et al. Developing and validating polygenic risk scores for colorectal cancer risk prediction in East Asians. Int. J. Cancer. 2022;151:1726–1736. PubMed PMC

Ge T, et al. Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations. Genome Med. 2022;14:70. PubMed PMC

Song S, Jiang W, Hou L, Zhao H. Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies. PLoS Comput. Biol. 2020;16:e1007565. PubMed PMC

Grinde KE, et al. Generalizing polygenic risk scores from Europeans to Hispanics/Latinos. Genet. Epidemiol. 2019;43:50–62. PubMed PMC

Márquez-Luna C, Loh P-R. South Asian Type 2 Diabetes (SAT2D) Consortium, SIGMA Type 2 Diabetes Consortium & Price, A. L. Multiethnic polygenic risk scores improve risk prediction in diverse populations. Genet. Epidemiol. 2017;41:811–823. PubMed PMC

Chen F, et al. Validation of a multi-ancestry polygenic risk score and age-specific risks of prostate cancer: a meta-analysis within diverse populations. eLife. 2022;11:e78304. PubMed PMC

Ruan Y, et al. Improving polygenic prediction in ancestrally diverse populations. Nat. Genet. 2022;54:573–580. PubMed PMC

Privé F, Arbel J, Vilhjálmsson BJ. LDpred2: better, faster, stronger. Bioinformatics. 2020;36:5424–5431. PubMed PMC

Huyghe JR, et al. Discovery of common and rare genetic risk variants for colorectal cancer. Nat. Genet. 2019;51:76–87. PubMed PMC

Lu Y, et al. Large-scale genome-wide association study of east asians identifies loci associated with risk for colorectal cancer. Gastroenterology. 2019;156:1455–1466. PubMed PMC

Law PJ, et al. Association analyses identify 31 new risk loci for colorectal cancer susceptibility. Nat. Commun. 2019;10:2154. PubMed PMC

Fernandez-Rozadilla C, et al. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries. Nat. Genet. 2023;55:89–99. PubMed PMC

Kerr KF, Brown MD, Zhu K, Janes H. Assessing the clinical impact of risk prediction models with decision curves: guidance for correct interpretation and appropriate use. J. Clin. Oncol. 2016;34:2534–2540. PubMed PMC

Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med. Decis. Mak. 2006;26:565–574. PubMed PMC

Polygenic Risk Score Task Force of the International Common Disease Alliance. Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps. Nat. Med. 27, 1876–1884 (2021). PubMed

Lambert SA, Abraham G, Inouye M. Towards clinical utility of polygenic risk scores. Hum. Mol. Genet. 2019;28:R133–R142. PubMed

Den RB, et al. Genomic classifier identifies men with adverse pathology after radical prostatectomy who benefit from adjuvant radiation therapy. J. Clin. Oncol. 2015;33:944–951. PubMed PMC

Choi E, et al. Development and validation of a risk prediction model for second primary lung cancer. J. Natl Cancer Inst. 2022;114:87–96. PubMed PMC

US Preventive Services Task Force et al. Screening for colorectal cancer: US preventive services task force recommendation statement. JAMA325, 1965–1977 (2021). PubMed

Campos FG. Colorectal cancer in young adults: a difficult challenge. World J. Gastroenterol. 2017;23:5041–5044. PubMed PMC

Weinberg BA, Marshall JL. Colon cancer in young adults: trends and their implications. Curr. Oncol. Rep. 2019;21:3. PubMed

Hull MA, Rees CJ, Sharp L, Koo S. A risk-stratified approach to colorectal cancer prevention and diagnosis. Nat. Rev. Gastroenterol. Hepatol. 2020;17:773–780. PubMed PMC

Loeve F, Boer R, van Oortmarssen GJ, van Ballegooijen M, Habbema JD. The MISCAN-COLON simulation model for the evaluation of colorectal cancer screening. Comput. Biomed. Res. 1999;32:13–33. PubMed

Carver T, et al. CanRisk Tool-A Web Interface for the Prediction of Breast and Ovarian Cancer Risk and the Likelihood of Carrying Genetic Pathogenic Variants. Cancer Epidemiol. Biomark. Prev. 2021;30:469–473. PubMed PMC

Esserman, L. J. & WISDOM Study and Athena Investigators. The WISDOM Study: breaking the deadlock in the breast cancer screening debate. NPJ Breast Cancer3, 34 (2017). PubMed PMC

Hao L, et al. Development of a clinical polygenic risk score assay and reporting workflow. Nat. Med. 2022;28:1006–1013. PubMed PMC

Harnessing the True Power of the Genome - MyOme. https://www.myome.com/?utm_source=PRNewsWire&utm_medium=press_release&utm_campaign=ASHG_2022&utm_content=top.

Jeon J, et al. Determining risk of colorectal cancer and starting age of screening based on lifestyle, environmental, and genetic factors. Gastroenterology. 2018;154:2152–2164.e19. PubMed PMC

Lu Y, et al. Identification of novel loci and new risk variant in known loci for colorectal cancer risk in east asians. Cancer Epidemiol. Biomark. Prev. 2020;29:477–486. PubMed PMC

Schmit SL, et al. Novel common genetic susceptibility loci for colorectal cancer. J. Natl Cancer Inst. 2019;111:146–157. PubMed PMC

Wang H, et al. Trans-ethnic genome-wide association study of colorectal cancer identifies a new susceptibility locus in VTI1A. Nat. Commun. 2014;5:4613. PubMed PMC

Wang H, et al. Fine-mapping of genome-wide association study-identified risk loci for colorectal cancer in African Americans. Hum. Mol. Genet. 2013;22:5048–5055. PubMed PMC

Schmit SL, et al. Genome-wide association study of colorectal cancer in Hispanics. Carcinogenesis. 2016;37:547–556. PubMed PMC

Calle EE, et al. The American Cancer Society Cancer Prevention Study II Nutrition Cohort: rationale, study design, and baseline characteristics. Cancer. 2002;94:500–511. PubMed

Hartung, J., Knapp, G. & Sinha, B. K. Statistical Meta-Analysis with Applications (John Wiley & Sons, Inc., 2008).

Heagerty PJ, Lumley T, Pepe MS. Time-dependent ROC curves for censored survival data and a diagnostic marker. Biometrics. 2000;56:337–344. PubMed

Le Borgne F, et al. Standardized and weighted time-dependent receiver operating characteristic curves to evaluate the intrinsic prognostic capacities of a marker by taking into account confounding factors. Stat. Methods Med. Res. 2018;27:3397–3410. PubMed

Khera AV, et al. Whole-genome sequencing to characterize monogenic and polygenic contributions in patients hospitalized with early-onset myocardial infarction. Circulation. 2019;139:1593–1602. PubMed PMC

Vickers AJ, Cronin AM, Elkin EB, Gonen M. Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers. BMC Med. Inform. Decis. Mak. 2008;8:53. PubMed PMC

Zhang Z. Survival analysis in the presence of competing risks. Ann. Transl. Med. 2017;5:47. PubMed PMC

Privé F, Aschard H, Ziyatdinov A, Blum MGB. Efficient analysis of large-scale genome-wide data with two R packages: bigstatsr and bigsnpr. Bioinformatics. 2017;34:2781–2787. PubMed PMC

Gerds, T. A. & Kattan, M. W. Medical Risk Prediction: with Ties to Machine Learning (Chapman and Hall/CRC, 2021).

Team, R. C. R: A language and environment for statistical computing (2013).

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