Colorectal cancer (CRC) is a leading cause of mortality worldwide. We conducted a genome-wide association study meta-analysis of 100,204 CRC cases and 154,587 controls of European and east Asian ancestry, identifying 205 independent risk associations, of which 50 were unreported. We performed integrative genomic, transcriptomic and methylomic analyses across large bowel mucosa and other tissues. Transcriptome- and methylome-wide association studies revealed an additional 53 risk associations. We identified 155 high-confidence effector genes functionally linked to CRC risk, many of which had no previously established role in CRC. These have multiple different functions and specifically indicate that variation in normal colorectal homeostasis, proliferation, cell adhesion, migration, immunity and microbial interactions determines CRC risk. Crosstissue analyses indicated that over a third of effector genes most probably act outside the colonic mucosa. Our findings provide insights into colorectal oncogenesis and highlight potential targets across tissues for new CRC treatment and chemoprevention strategies.
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Summary-level data for the full set of Asian and European GWASs are available through the GWAS catalog (accession no. GCST90129505). For individual-level data, CCFR, CORECT, CORSA_2 and GECCO are deposited in dbGaP (accession nos. phs001415.v1.p1, phs001315.v1.p1, phs001078.v1.p1, phs001903.v1.p1, phs001856.v1.p1 and phs001045.v1.p1). NSCCG and COIN are available in the European Genome–Phenome Archive under accession nos. EGAS00001005412 (NSCCG) and EGAS00001005421 (COIN). UK Biobank data are available through http://www.ukbiobank.ac.uk and Finnish data through THL Biobank. Access to individual-level data for the remaining studies is controlled through oversight committees. CCFR 1 and CCFR 2 data can be requested by submitting an application for collaboration to the CCFR (forms, instructions and contact information can be located at www.coloncfr/collaboration.org). Applications for individual-level data from the QUASAR2 and SCOT clinical trials will be assessed by the translational research steering committees that oversee those studies. Individual-level data from the CORGI (UK1) study will be made available subject to standard institutional agreements. Application forms for these three studies, and for Scotland Phase 1, Scotland Phase 2, SOCCS, DACHS4 and Croatia, will be provided by emailing a request to email@example.com. For access to CORSA_1, please contact firstname.lastname@example.org. For Generation Scotland (GS) access is through the GS Access Committee (email@example.com). Applications for the Lothian Birth Cohort data should be made through https://www.ed.ac.uk/lothian-birth-cohorts/data-access-collaboration. For details of the application process for Aichi1, Aichi2, BBJ, Guanzhou1, HCES, HCES2, Korea and Shanghai cohorts, please go to https://swhs-smhs.app.vumc.org or contact W.Z. at firstname.lastname@example.org. CRC-relevant epigenome data were obtained from the National Center for Biotechnology Information’s Gene Expression Omnibus database under accession nos. GSE77737 and GSE36401. Genetically predicted models of gene expression and methylation have been deposited in the Zenodo repository (https://zenodo.org/deposit/6472285).
All bioinformatics and statistical analysis tools used in the present study are open source, details of which are available in Methods and Nature Portfolio Reporting Summary. No customized code was used to process or analyze data. Details on URLs used can be found in Supplementary Note.
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At the Institute of Cancer Research, this work was supported by Cancer Research UK (CRUK, grant no. C1298/A25514 to R.S.H.). Additional support was provided by the National Cancer Research Network. In Edinburgh, the work was supported by program grant funding from CRUK (grant nos. C348/A12076 to M.G.D. and C6199/A16459 to I.T.), EU European Research Council Advanced Grant EVOCAN, and the infrastructure and staffing of the Edinburgh CRUK Cancer Research Centre. C.F.R. was supported by a Marie Sklodowska-Curie Intra-European Fellowship Action (grant no. IEF-301077) for the INTERMPHEN project and received considerable help from many staff in the Department of Endoscopy at the John Radcliffe Hospital in Oxford. Support from the European Union (grant nos. FP7/207–2013 and 258236), FP7 collaborative project SYSCOL and COST Actions EuColonGene and TransColonCan are also acknowledged (grant nos. BM1206 and CA17118 to I.T.). We are grateful to many colleagues within UK clinical genetics departments (for CORGI) and to many collaborators who participated in the VICTOR, QUASAR2 and SCOT trials. We also thank colleagues from the UK National Cancer Research Network (for NSCCG). IT acknowledges funding from CRUK program grant no. C6199/A27327. The work at Vanderbilt University Medical Center was supported by US National Institutes of Health (NIH; grant nos. R01CA188214, R37CA070867, UM1CA182910, R01CA124558, R01CA158473 and R01CA148667), as well as Anne Potter Wilson Chair funds from the Vanderbilt University School of Medicine (to W.Z.). Sample preparation and genotyping assays at Vanderbilt University were conducted at the Survey and Biospecimen Shared Resources and Vanderbilt Microarray Shared Resource, supported in part by the Vanderbilt-Ingram Cancer Center (grant no. P30CA068485). Statistical analyses were performed on servers maintained by the Advanced Computing Center for Research and Education (ACCRE) at Vanderbilt University. Genetics and Epidemiology of Colorectal Cancer Consortium (GECCC), National Cancer Institute (NCI), NIH, US Department of Health and Human Services provided grant nos. U01 CA164930, U01 CA137088, R01 CA059045, R01201407 and R01CA206279. Genotyping services were provided by the Center for Inherited Disease Research (CIDR) contract no. HHSN268201200008I. This research was funded in part through the NIH/NCI Cancer Center support grant no. P30 CA015704. Scientific Computing Infrastructure at the Fred Hutchinson Cancer Research Center was funded by ORIP grant no. S10OD028685 (to U.P.). The Colorectal Cancer Transdisciplinary (CORECT) study was supported by the NCI/NIH, US Department of Health and Human Services (grant nos. U19 CA148107, R01 CA81488, P30 CA014089, R01 CA197350, P01 CA196569 and R01 CA201407) and National Institutes of Environmental Health Sciences, NIH (grant no. T32 ES013678). The Colon Cancer Family Registry (CCFR) participant recruitment and collection of data and biospecimens used in the present study were supported by the NCI, NIH (grant no. U01 CA167551). OFCCR was supported through funding allocated to the Ontario Registry for Studies of Familial Colorectal Cancer (grant no. U01 CA074783). The content of this manuscript does not necessarily reflect the views or policies of the NCI or any of the collaborating centers in the CCFR, and the mention of trade names, commercial products or organizations does not imply endorsement by the US Government, any cancer registry or the CCFR.
A.C. is a consultant to Bayer Pharma AG, Boehringer Ingelheim and Pfizer Inc. for work unrelated to this manuscript. A.S. is an employee at Insitro, including consulting fees from BMS. H.H. is SAB for Invitae Genetics, Promega and Genome Medical, Stock/Stock options for Genome Medical and GI OnDemand. J.K. is a consultant for Guardant Health. N.P. is a collaborator for Thrive and Exact, PGDx, CAGE, NeoPhore, Vidium and ManaTbio, and receives royalties for licensed technologies according to JHU rules. R.K.P. collaborates with Eli Lilly, AbbVie, Allergan, Verily and Alimentiv, which includes consulting fees (outside the submitted work). S.A.B. has financial interest in Adaptive Biotechnologies. S.B.G. is co-founder, Brogent International LLC. T.S.M. receives research and honoraria from Merck Serono. One of Z.K.S.’s immediate family members serves as a consultant in ophthalmology for Alcon, Adverum, Gyroscope Therapeutics Limited, Neurogene and RegenexBio (outside the submitted work). V.M. has research projects and owns stocks of Aniling. The remaining authors declare no competing interests.
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Fernandez-Rozadilla, C., Timofeeva, M., Chen, Z. 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 55, 89–99 (2023). https://doi.org/10.1038/s41588-022-01222-9