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dc.contributor.authorPal Choudhury, P
dc.contributor.authorBrook, MN
dc.contributor.authorHurson, AN
dc.contributor.authorLee, A
dc.contributor.authorMulder, CV
dc.contributor.authorCoulson, P
dc.contributor.authorSchoemaker, MJ
dc.contributor.authorJones, ME
dc.contributor.authorSwerdlow, AJ
dc.contributor.authorChatterjee, N
dc.contributor.authorAntoniou, AC
dc.contributor.authorGarcia-Closas, M
dc.date.accessioned2021-04-08T10:30:03Z
dc.date.available2021-04-08T10:30:03Z
dc.date.issued2021-02-15
dc.identifier.citationBreast cancer research : BCR, 2021, 23 (1), pp. 22 - ?
dc.identifier.issn1465-5411
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/4497
dc.identifier.eissn1465-542X
dc.identifier.doi10.1186/s13058-021-01399-7
dc.description.abstractBACKGROUND: The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) and the Tyrer-Cuzick breast cancer risk prediction models are commonly used in clinical practice and have recently been extended to include polygenic risk scores (PRS). In addition, BOADICEA has also been extended to include reproductive and lifestyle factors, which were already part of Tyrer-Cuzick model. We conducted a comparative prospective validation of these models after incorporating the recently developed 313-variant PRS. METHODS: Calibration and discrimination of 5-year absolute risk was assessed in a nested case-control sample of 1337 women of European ancestry (619 incident breast cancer cases) aged 23-75 years from the Generations Study. RESULTS: The extended BOADICEA model with reproductive/lifestyle factors and PRS was well calibrated across risk deciles; expected-to-observed ratio (E/O) at the highest risk decile :0.97 (95 % CI 0.51 - 1.86) for women younger than 50 years and 1.09 (0.66 - 1.80) for women 50 years or older. Adding reproductive/lifestyle factors and PRS to the BOADICEA model improved discrimination modestly in younger women (area under the curve (AUC) 69.7 % vs. 69.1%) and substantially in older women (AUC 64.6 % vs. 56.8%). The Tyrer-Cuzick model with PRS showed evidence of overestimation at the highest risk decile: E/O = 1.54(0.81 - 2.92) for younger and 1.73 (1.03 - 2.90) for older women. CONCLUSION: The extended BOADICEA model identified women in a European-ancestry population at elevated breast cancer risk more accurately than the Tyrer-Cuzick model with PRS. With the increasing availability of PRS, these analyses can inform choice of risk models incorporating PRS for risk stratified breast cancer prevention among women of European ancestry.
dc.formatElectronic
dc.format.extent22 - ?
dc.languageeng
dc.language.isoeng
dc.publisherBMC
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleComparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry.
dc.typeJournal Article
dcterms.dateAccepted2021-01-25
rioxxterms.versionVoR
rioxxterms.versionofrecord10.1186/s13058-021-01399-7
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2021-02-15
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfBreast cancer research : BCR
pubs.issue1
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Aetiological Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Aetiological Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Oncogenetics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Oncogenetics
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Aetiological Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Aetiological Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Oncogenetics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Oncogenetics
pubs.publication-statusPublished
pubs.volume23
pubs.embargo.termsNot known
icr.researchteamAetiological Epidemiology
icr.researchteamOncogenetics
icr.researchteamAetiological Epidemiology
icr.researchteamOncogenetics
dc.contributor.icrauthorBrook, Mark
dc.contributor.icrauthorSchoemaker, Minouk
dc.contributor.icrauthorJones, Michael
dc.contributor.icrauthorGarcia-Closas, Montserrat


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