Evidence map›Paper›PMID 40676226›Full record

ArticleBritish journal of cancer2025

Adapting the BOADICEA breast and ovarian cancer risk models for the ethnically diverse UK population.

Lorenzo Ficorella, Xin Yang, Nasim Mavaddat, Tim Carver, Hend Hassan, Joe Dennis, Jonathan Tyrer, Weang-Kee Ho, Soo-Hwang Teo, Mikael Hartman and 16 more

Abstract read
In one paragraph

Article in British journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Polygenic risk scores in cancer.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Clinical predictors ofFrontiers in oncology · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Lorenzo Ficorella *Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. lf364@medschl.cam.ac.uk.ORCID http://orcid.org/0000-0002-0577-1571
Xin Yang *Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-0037-3790
Nasim Mavaddat *Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Tim CarverCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Hend HassanCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Joe DennisCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-4591-1214
Jonathan TyrerCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-3724-4757
Weang-Kee HoSchool of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia Campus, Semenyih, Selangor, Malaysia.ORCID http://orcid.org/0000-0002-8269-7344
Soo-Hwang TeoCancer Research Malaysia, Subang Jaya, Selangor, Malaysia.
Mikael HartmanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore City, Singapore.ORCID http://orcid.org/0000-0001-5726-9965
Jingmei LiHuman Genetics Division, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore.
Mikael ErikssonCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Tameera RahmanNational Disease Registration Service, National Health Service England, London, United Kingdom.
Andrew BaconNational Disease Registration Service, National Health Service England, London, United Kingdom.
Steven HardyNational Disease Registration Service, National Health Service England, London, United Kingdom.
Adam E StokesCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Francisca Stutzin DonosoThe Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Stephanie ArcherThe Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Jacques SimardGenomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Québec City, QC, Canada.ORCID http://orcid.org/0000-0001-6906-3390
Paul D P PharoahDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, USA.ORCID http://orcid.org/0000-0001-8494-732X
Juliet A Usher-SmithThe Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-8501-2531
Marc TischkowitzDepartment of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK.
Douglas F EastonCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-2444-3247
Antonis C AntoniouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. aca20@medschl.cam.ac.uk.ORCID http://orcid.org/0000-0001-9223-3116

Funding

Cancer Research UK (CRUK) Catalyst Award CanGene-CanVar (C61296/A27223)Cancer Research UK (CRUK) grant PPRPGM-Nov20\100002Cancer Research UK (CRUK) grants PPRPGM-Nov20\100002 and SEBCD3-2024/100001Cancer Research UK (CRUK) PPRPGM-Nov20\100002EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) grants 633784 (B-CAST) and 634935 (BRIDGES)Genome Canada (Génome Canada) #13529Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) #155865MOH | National Medical Research Council (NMRC) Clinician Scientist Award (SI Category)Wellcome TrustWellcome Trust (Wellcome) v203477/Z/16/Z
6 · The paper itself

Abstract

backgroundBOADICEA is a widely used algorithm for predicting breast and ovarian cancer risks, using a combination of genetic and lifestyle, hormonal and reproductive risk factors. However, it has largely been developed using data from White/European individuals, limiting its applicability to other ethnicities. Here, we updated BOADICEA to provide ethnicity-specific risk estimates.

methodsWe utilised data from multiple sources to derive estimates for the distributions and effect sizes of risk factors in major UK ethnic groups (White, Black, South Asian, East Asian, and Mixed), along with ethnicity-specific population cancer incidences. We also developed a method for deriving adjusted polygenic scores for individuals of mixed genetic ancestry.

resultsThe predicted average absolute risks were smaller in all non-White ethnic groups than in Whites, and the risk distributions were narrower. The proportion of women classified as at moderate or high risk of breast or ovarian cancer, according to national guidelines, was considerably smaller in non-Whites. DISCUSSION: The updated BOADICEA, available in the CanRisk tool ( www.canrisk.org ), is based on more appropriate estimates for non-White women in the UK. Further validation of the model in prospective studies is required. Considering these findings, risk classification guidelines for non-White women may need to be revised.

Indexed as

AlgorithmsBreast NeoplasmsOvarian NeoplasmsAdultEthnicityFemaleGenetic Predisposition to DiseaseHumansMiddle AgedRisk AssessmentRisk FactorsUnited Kingdom

Identifiers

PMID40676226
PMCPMC12449465

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.