These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
213 related articles for article (PubMed ID: 33588869)
1. Comparative 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. Pal Choudhury P; Brook MN; Hurson AN; Lee A; Mulder CV; Coulson P; Schoemaker MJ; Jones ME; Swerdlow AJ; Chatterjee N; Antoniou AC; Garcia-Closas M Breast Cancer Res; 2021 Feb; 23(1):22. PubMed ID: 33588869 [TBL] [Abstract][Full Text] [Related]
2. 10-year performance of four models of breast cancer risk: a validation study. Terry MB; Liao Y; Whittemore AS; Leoce N; Buchsbaum R; Zeinomar N; Dite GS; Chung WK; Knight JA; Southey MC; Milne RL; Goldgar D; Giles GG; McLachlan SA; Friedlander ML; Weideman PC; Glendon G; Nesci S; Andrulis IL; John EM; Phillips KA; Daly MB; Buys SS; Hopper JL; MacInnis RJ Lancet Oncol; 2019 Apr; 20(4):504-517. PubMed ID: 30799262 [TBL] [Abstract][Full Text] [Related]
3. Breast cancer risk prediction using Tyrer-Cuzick algorithm with an 18-SNPs polygenic risk score in a European population with below-average breast cancer incidence. Oblak T; Škerl P; Narang BJ; Blagus R; Krajc M; Novaković S; Žgajnar J Breast; 2023 Dec; 72():103590. PubMed ID: 37857130 [TBL] [Abstract][Full Text] [Related]
4. Prospective validation of the BOADICEA multifactorial breast cancer risk prediction model in a large prospective cohort study. Yang X; Eriksson M; Czene K; Lee A; Leslie G; Lush M; Wang J; Dennis J; Dorling L; Carvalho S; Mavaddat N; Simard J; Schmidt MK; Easton DF; Hall P; Antoniou AC J Med Genet; 2022 Dec; 59(12):1196-1205. PubMed ID: 36162852 [TBL] [Abstract][Full Text] [Related]
5. Performance of the IBIS/Tyrer-Cuzick model of breast cancer risk by race and ethnicity in the Women's Health Initiative. Kurian AW; Hughes E; Simmons T; Bernhisel R; Probst B; Meek S; Caswell-Jin JL; John EM; Lanchbury JS; Slavin TP; Wagner S; Gutin A; Rohan TE; Shadyab AH; Manson JE; Lane D; Chlebowski RT; Stefanick ML Cancer; 2021 Oct; 127(20):3742-3750. PubMed ID: 34228814 [TBL] [Abstract][Full Text] [Related]
7. Integrating Clinical and Polygenic Factors to Predict Breast Cancer Risk in Women Undergoing Genetic Testing. Hughes E; Tshiaba P; Wagner S; Judkins T; Rosenthal E; Roa B; Gallagher S; Meek S; Dalton K; Hedegard W; Adami CA; Grear DF; Domchek SM; Garber J; Lancaster JM; Weitzel JN; Kurian AW; Lanchbury JS; Gutin A; Robson ME JCO Precis Oncol; 2021; 5():. PubMed ID: 34036224 [TBL] [Abstract][Full Text] [Related]
8. Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density. Brentnall AR; Cuzick J; Buist DSM; Bowles EJA JAMA Oncol; 2018 Sep; 4(9):e180174. PubMed ID: 29621362 [TBL] [Abstract][Full Text] [Related]
9. Assessing the Value of Incorporating a Polygenic Risk Score with Nongenetic Factors for Predicting Breast Cancer Diagnosis in the UK Biobank. Collister JA; Liu X; Littlejohns TJ; Cuzick J; Clifton L; Hunter DJ Cancer Epidemiol Biomarkers Prev; 2024 Jun; 33(6):812-820. PubMed ID: 38630597 [TBL] [Abstract][Full Text] [Related]
10. Validating the IBIS and BOADICEA Models for Predicting Breast Cancer Risk in the Iranian Population. Ghoncheh M; Ziaee F; Karami M; Poorolajal J Clin Breast Cancer; 2017 Jun; 17(3):e113-e118. PubMed ID: 28216418 [TBL] [Abstract][Full Text] [Related]
11. Practical problems with clinical guidelines for breast cancer prevention based on remaining lifetime risk. Quante AS; Whittemore AS; Shriver T; Hopper JL; Strauch K; Terry MB J Natl Cancer Inst; 2015 Jul; 107(7):. PubMed ID: 25956172 [TBL] [Abstract][Full Text] [Related]
12. Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries. Hurson AN; Pal Choudhury P; Gao C; Hüsing A; Eriksson M; Shi M; Jones ME; Evans DGR; Milne RL; Gaudet MM; Vachon CM; Chasman DI; Easton DF; Schmidt MK; Kraft P; Garcia-Closas M; Chatterjee N; Int J Epidemiol; 2022 Jan; 50(6):1897-1911. PubMed ID: 34999890 [TBL] [Abstract][Full Text] [Related]
13. Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. Brentnall AR; Harkness EF; Astley SM; Donnelly LS; Stavrinos P; Sampson S; Fox L; Sergeant JC; Harvie MN; Wilson M; Beetles U; Gadde S; Lim Y; Jain A; Bundred S; Barr N; Reece V; Howell A; Cuzick J; Evans DG Breast Cancer Res; 2015 Dec; 17(1):147. PubMed ID: 26627479 [TBL] [Abstract][Full Text] [Related]
14. Polygenic risk scores for prediction of breast cancer in Korean women. Jee YH; Ho WK; Park S; Easton DF; Teo SH; Jung KJ; Kraft P Int J Epidemiol; 2023 Jun; 52(3):796-805. PubMed ID: 36343017 [TBL] [Abstract][Full Text] [Related]
15. BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors. Lee A; Mavaddat N; Wilcox AN; Cunningham AP; Carver T; Hartley S; Babb de Villiers C; Izquierdo A; Simard J; Schmidt MK; Walter FM; Chatterjee N; Garcia-Closas M; Tischkowitz M; Pharoah P; Easton DF; Antoniou AC Genet Med; 2019 Aug; 21(8):1708-1718. PubMed ID: 30643217 [TBL] [Abstract][Full Text] [Related]
16. Validation of the BOADICEA model and a 313-variant polygenic risk score for breast cancer risk prediction in a Dutch prospective cohort. Lakeman IMM; Rodríguez-Girondo M; Lee A; Ruiter R; Stricker BH; Wijnant SRA; Kavousi M; Antoniou AC; Schmidt MK; Uitterlinden AG; van Rooij J; Devilee P Genet Med; 2020 Nov; 22(11):1803-1811. PubMed ID: 32624571 [TBL] [Abstract][Full Text] [Related]
17. Prospective Evaluation of the Addition of Polygenic Risk Scores to Breast Cancer Risk Models. Li SX; Milne RL; Nguyen-Dumont T; Wang X; English DR; Giles GG; Southey MC; Antoniou AC; Lee A; Li S; Winship I; Hopper JL; Terry MB; MacInnis RJ JNCI Cancer Spectr; 2021 Jun; 5(3):. PubMed ID: 33977228 [TBL] [Abstract][Full Text] [Related]
18. Evaluation of the Tyrer-Cuzick (International Breast Cancer Intervention Study) model for breast cancer risk prediction in women with atypical hyperplasia. Boughey JC; Hartmann LC; Anderson SS; Degnim AC; Vierkant RA; Reynolds CA; Frost MH; Pankratz VS J Clin Oncol; 2010 Aug; 28(22):3591-6. PubMed ID: 20606088 [TBL] [Abstract][Full Text] [Related]
19. Evaluating the performance of the breast cancer genetic risk models BOADICEA, IBIS, BRCAPRO and Claus for predicting BRCA1/2 mutation carrier probabilities: a study based on 7352 families from the German Hereditary Breast and Ovarian Cancer Consortium. Fischer C; Kuchenbäcker K; Engel C; Zachariae S; Rhiem K; Meindl A; Rahner N; Dikow N; Plendl H; Debatin I; Grimm T; Gadzicki D; Flöttmann R; Horvath J; Schröck E; Stock F; Schäfer D; Schwaab I; Kartsonaki C; Mavaddat N; Schlegelberger B; Antoniou AC; Schmutzler R; J Med Genet; 2013 Jun; 50(6):360-7. PubMed ID: 23564750 [TBL] [Abstract][Full Text] [Related]
20. The impact of a panel of 18 SNPs on breast cancer risk in women attending a UK familial screening clinic: a case-control study. Evans DG; Brentnall A; Byers H; Harkness E; Stavrinos P; Howell A; ; Newman WG; Cuzick J J Med Genet; 2017 Feb; 54(2):111-113. PubMed ID: 27794048 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]