2024
Polygenic score distribution differences across European ancestry populations: implications for breast cancer risk prediction
Yiangou K, Mavaddat N, Dennis J, Zanti M, Wang Q, Bolla M, Abubakar M, Ahearn T, Andrulis I, Anton-Culver H, Antonenkova N, Arndt V, Aronson K, Augustinsson A, Baten A, Behrens S, Bermisheva M, de Gonzalez A, Białkowska K, Boddicker N, Bodelon C, Bogdanova N, Bojesen S, Brantley K, Brauch H, Brenner H, Camp N, Canzian F, Castelao J, Cessna M, Chang-Claude J, Chenevix-Trench G, Chung W, Colonna S, Couch F, Cox A, Cross S, Czene K, Daly M, Devilee P, Dörk T, Dunning A, Eccles D, Eliassen A, Engel C, Eriksson M, Evans D, Fasching P, Fletcher O, Flyger H, Fritschi L, Gago-Dominguez M, Gentry-Maharaj A, González-Neira A, Guénel P, Hahnen E, Haiman C, Hamann U, Hartikainen J, Ho V, Hodge J, Hollestelle A, Honisch E, Hooning M, Hoppe R, Hopper J, Howell S, Howell A, Jakovchevska S, Jakubowska A, Jernström H, Johnson N, Kaaks R, Khusnutdinova E, Kitahara C, Koutros S, Kristensen V, Lacey J, Lambrechts D, Lejbkowicz F, Lindblom A, Lush M, Mannermaa A, Mavroudis D, Menon U, Murphy R, Nevanlinna H, Obi N, Offit K, Park-Simon T, Patel A, Peng C, Peterlongo P, Pita G, Plaseska-Karanfilska D, Pylkäs K, Radice P, Rashid M, Rennert G, Roberts E, Rodriguez J, Romero A, Rosenberg E, Saloustros E, Sandler D, Sawyer E, Schmutzler R, Scott C, Shu X, Southey M, Stone J, Taylor J, Teras L, van de Beek I, Willett W, Winqvist R, Zheng W, Vachon C, Schmidt M, Hall P, MacInnis R, Milne R, Pharoah P, Simard J, Antoniou A, Easton D, Michailidou K. Polygenic score distribution differences across European ancestry populations: implications for breast cancer risk prediction. Breast Cancer Research 2024, 26: 189. PMID: 39734228, PMCID: PMC11682615, DOI: 10.1186/s13058-024-01947-x.Peer-Reviewed Original ResearchConceptsBreast Cancer Association ConsortiumBreast cancer risk predictionCancer risk predictionBreast cancer diagnosisEuropean ancestry populationsUK BiobankAncestry populationsBreast cancer risk estimationCancer diagnosisRisk predictionRisk estimatesPrincipal component adjustmentPolygenic risk scoresCancer risk estimatesCountry of birthInfluence risk estimatesRisk categoriesEuropean populationsOverestimation of riskEuropean ancestryUnderestimation of riskRisk scorePredicted riskEuropean countriesGenotype data
2019
Accuracy of Risk Estimates from the iPrevent Breast Cancer Risk Assessment and Management Tool
Phillips K, Liao Y, Milne R, MacInnis R, Collins I, Buchsbaum R, Weideman P, Bickerstaffe A, Nesci S, Chung W, Southey M, Knight J, Whittemore A, Dite G, Goldgar D, Giles G, Glendon G, Thorne H, Niedermayr E, Stanhope L, O’Connor S, Picken S, Cuzick J, Antoniou A, Andrulis I, John E, Daly M, Buys S, Hopper J, Terry M. Accuracy of Risk Estimates from the iPrevent Breast Cancer Risk Assessment and Management Tool. JNCI Cancer Spectrum 2019, 3: pkz066. PMID: 31853515, PMCID: PMC6901082, DOI: 10.1093/jncics/pkz066.Peer-Reviewed Original ResearchInternational Breast Cancer Intervention StudyBC riskDiscriminatory accuracyOvarian Analysis of Disease IncidenceProspective Family Study CohortRisk management decision support toolBreast cancerBreast cancer risk assessmentAnalysis of Disease IncidenceRisk estimatesAbsolute BC riskRisk factor dataCancer risk assessmentAccuracy of risk estimatesYears of follow-upOvarian AnalysisIntervention studiesCalibration overallC-statisticRisk management informationProspective dataStudy cohortFactor dataIPreventDecision support tool
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