Evaluating the performance of the Breast and Ovarian Analysis of Disease Incidence Algorithm model in predicting 10-year breast cancer risks in UK Biobank.
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| Title: | Evaluating the performance of the Breast and Ovarian Analysis of Disease Incidence Algorithm model in predicting 10-year breast cancer risks in UK Biobank. |
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| Authors: | Petitjean C; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0BB, United Kingdom.; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge CB2 0BB, United Kingdom., Wilcox N; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom., Ficorella L; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom., Dennis J; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom., Tyrer J; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom.; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, United Kingdom., Lush M; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom., Simard J; Genomics Center, Centre Hospitalier Universitaire de Québec-Université Laval Research Center, Université Laval, Québec City, QC G1V 4G2, Canada., Easton D; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom.; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, United Kingdom., Antoniou AC; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom., Yang X; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom. |
| Source: | Journal of the National Cancer Institute [J Natl Cancer Inst] 2025 May 01; Vol. 117 (5), pp. 948-958. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 7503089 Publication Model: Print Cited Medium: Internet ISSN: 1460-2105 (Electronic) Linking ISSN: 00278874 NLM ISO Abbreviation: J Natl Cancer Inst Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39666943 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluating the performance of the Breast and Ovarian Analysis of Disease Incidence Algorithm model in predicting 10-year breast cancer risks in UK Biobank. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Petitjean+C%22">Petitjean C</searchLink>; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0BB, United Kingdom.; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge CB2 0BB, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Wilcox+N%22">Wilcox N</searchLink>; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Ficorella+L%22">Ficorella L</searchLink>; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Dennis+J%22">Dennis J</searchLink>; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Tyrer+J%22">Tyrer J</searchLink>; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom.; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Lush+M%22">Lush M</searchLink>; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Simard+J%22">Simard J</searchLink>; Genomics Center, Centre Hospitalier Universitaire de Québec-Université Laval Research Center, Université Laval, Québec City, QC G1V 4G2, Canada.<br /><searchLink fieldCode="AU" term="%22Easton+D%22">Easton D</searchLink>; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom.; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Antoniou+AC%22">Antoniou AC</searchLink>; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Yang+X%22">Yang X</searchLink>; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227503089%22">Journal of the National Cancer Institute</searchLink> [J Natl Cancer Inst] 2025 May 01; Vol. 117 (5), pp. 948-958. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7503089 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1460-2105 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200278874%22">00278874 </searchLink><i>NLM ISO Abbreviation: </i>J Natl Cancer Inst <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39666943 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/jnci/djae335 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 948 Titles: – TitleFull: Evaluating the performance of the Breast and Ovarian Analysis of Disease Incidence Algorithm model in predicting 10-year breast cancer risks in UK Biobank. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Petitjean C – PersonEntity: Name: NameFull: Wilcox N – PersonEntity: Name: NameFull: Ficorella L – PersonEntity: Name: NameFull: Dennis J – PersonEntity: Name: NameFull: Tyrer J – PersonEntity: Name: NameFull: Lush M – PersonEntity: Name: NameFull: Simard J – PersonEntity: Name: NameFull: Easton D – PersonEntity: Name: NameFull: Antoniou AC – PersonEntity: Name: NameFull: Yang X IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2025 May 01 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1460-2105 Numbering: – Type: volume Value: 117 – Type: issue Value: 5 Titles: – TitleFull: Journal of the National Cancer Institute Type: main |
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