Tools, Breast Cancer Risk — Ascertainment for HBOC Testing ~ Genetic Testing
~ Genetics of Breast & Ovarian Cancer

Models, tools, calculators, methods to ascertain those at high risk of breast and/or ovarian cancer, from papers with little or no (or aside from) emphasis on mutation detection, but more focused on the cancer risk itself

List was last updated on Oct 12, 2019 @ 8:08 pm.


    • Considerations when using breast cancer risk models for women with negative BRCA1/BRCA2 mutation results.
    • MacInnis RJ, Liao Y, Knight JA, Milne RL, Whittemore AS, Chung WK, Leoce N, Buchsbaum R, Zeinomar N, Dite GS, Southey MC, Goldgar D, Giles GG, McLachlan SA, Weideman PC, Nesci S, Friedlander ML, Glendon G; kConFab Investigators, Andrulis IL, John EM, Daly MB, Buys SS, Phillips KA, Hopper JL, Terry MB.
    • J Natl Cancer Inst. 2019 Oct 4. pii: djz194. doi: 10.1093/jnci/djz194. [Epub ahead of print]
    • The Tyrer-Cuzick Model Inaccurately Predicts Invasive Breast Cancer Risk in Women With LCIS.
    • Valero MG, Zabor EC, Park A, Gilbert E, Newman A, King TA, Pilewskie ML.
    • Ann Surg Oncol. 2019 Sep 26. doi: 10.1245/s10434-019-07814-w. [Epub ahead of print]
    • Performance of breast cancer risk assessment models in a large mammography cohort.
    • McCarthy AM, Guan Z, Welch M, Griffin ME, Sippo DA, Deng Z, Coopey SB, Acar A, Semine A, Parmigiani G, Braun D, Hughes KS.
    • J Natl Cancer Inst. 2019 Sep 26. pii: djz177. doi: 10.1093/jnci/djz177. [Epub ahead of print]

    Editorial:

    Choosing Breast Cancer Risk Models: Importance of Independent Validation.

    • Choosing Breast Cancer Risk Models: Importance of Independent Validation.
    • Gail MH.
    • J Natl Cancer Inst. 2019 Sep 26. pii: djz180. doi: 10.1093/jnci/djz180. [Epub ahead of print]
    • Accuracy of Risk Estimates from the iPrevent Breast Cancer Risk Assessment and Management Tool.
    • Phillips KA, Liao Y, Milne RL, MacInnis RJ, Collins IM, Buchsbaum R, Weideman PC, Bickerstaffe A, Nesci S, Chung WK, Southey MC, Knight JA, Whittemore AS, Dite GS, Goldgar D, Giles GG, Glendon G, kConFab Investigators, Cuzick J, Antoniou AC, Andrulis IL, John EM, Daly MB, Buys SS, Hopper JL, Terry MB.
    • JNCI Cancer Spectr. 2019 Sep 19;3(2):pkz066. doi: 10.1093/jncics/pkz066. eCollection 2019 Jun.
    • Benign breast disease increases breast cancer risk independent of underlying familial risk profile: Findings from a Prospective Family Study Cohort.
    • Zeinomar N, Phillips KA, Daly MB, Milne RL, Dite GS, MacInnis RJ, Liao Y, Kehm RD, Knight JA, Southey MC, Chung WK, Giles GG, McLachlan SA, Friedlander ML, Weideman PC, Glendon G, Nesci S; kConFab Investigators, Andrulis IL, Buys SS, John EM, Hopper JL, Terry MB.
    • Int J Cancer. 2019 Jul 15;145(2):370-379. doi: 10.1002/ijc.32112. Epub 2019 Feb 20.
    • A case-control evaluation of 143 single nucleotide polymorphisms for breast cancer risk stratification with classical factors and mammographic density.
    • Brentnall AR, van Veen EM, Harkness EF, Rafiq S, Byers H, Astley SM, Sampson S, Howell A, Newman WG, Cuzick J, Evans DGR.
    • Int J Cancer. 2019 Jun 28. doi: 10.1002/ijc.32541. [Epub ahead of print]
    • Developing a community-based breast cancer risk prediction tool for resource-poor settings.
    • Pillai D, Hossain SS, Chattu VK.
    • J Educ Health Promot. 2019 Jun 27;8:106. doi: 10.4103/jehp.jehp_384_18. eCollection 2019.
    • Predictors of mammographic density among women with a strong family history of breast cancer.
    • Moran O, Eisen A, Demsky R, Blackmore K, Knight JA, Panchal S, Ginsburg O, Zbuk K, Yaffe M, Metcalfe KA, Narod SA, Kotsopoulos J.
    • BMC Cancer. 2019 Jun 26;19(1):631. doi: 10.1186/s12885-019-5855-2.
    • Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models.
    • Ming C, Viassolo V, Probst-Hensch N, Chappuis PO, Dinov ID, Katapodi MC.
    • Breast Cancer Res. 2019 Jun 20;21(1):75. doi: 10.1186/s13058-019-1158-4.
    • Addition of a 161-SNP polygenic risk score to family history-based risk prediction: impact on clinical management in non-BRCA1/2 breast cancer families.
    • Lakeman IMM, Hilbers FS, Rodríguez-Girondo M, Lee A, Vreeswijk MPG, Hollestelle A, Seynaeve C, Meijers-Heijboer H, Oosterwijk JC, Hoogerbrugge N, Olah E, Vasen HFA, van Asperen CJ, Devilee P.
    • J Med Genet. 2019 Jun 11. pii: jmedgenet-2019-106072. doi: 10.1136/jmedgenet-2019-106072. [Epub ahead of print]
    • Comparative validation of breast cancer risk prediction models and projections for future risk stratification.
    • Choudhury PP, Wilcox AN, Brook MN, Zhang Y, Ahearn T, Orr N, Coulson P, Schoemaker MJ, Jones ME, Gail MH, Swerdlow AJ, Chatterjee N, Garcia-Closas M.
    • J Natl Cancer Inst. 2019 Jun 4. pii: djz113. doi: 10.1093/jnci/djz113. [Epub ahead of print]
    • Performance of the Gail and Tyrer-Cuzick breast cancer risk assessment models in women screened in a primary care setting with the FHS-7 questionnaire.
    • Vianna FSL, Giacomazzi J, Oliveira Netto CB, Nunes LN, Caleffi M, Ashton-Prolla P, Camey SA.
    • Genet Mol Biol. 2019 Jun 3. pii: S1415-47572019005018101. doi: 10.1590/1678-4685-GMB-2018-0110. [Epub ahead of print]
    • Breast Cancer Risk Prediction Models: Challenges in Clinical Application.
    • Paquin M, Fasolino T, Steck MB.
    • Clin J Oncol Nurs. 2019 Jun 1;23(3):256-259. doi: 10.1188/19.CJON.256-259.
    • Review
    • Validation of the breast cancer surveillance consortium model of breast cancer risk.
    • Tice JA, Bissell MCS, Miglioretti DL, Gard CC, Rauscher GH, Dabbous FM, Kerlikowske K.
    • Breast Cancer Res Treat. 2019 Jun;175(2):519-523. doi: 10.1007/s10549-019-05167-2. Epub 2019 Feb 22.
    • Joint association of mammographic density adjusted for age and body mass index and polygenic risk score with breast cancer risk.
    • Vachon CM, Scott CG, Tamimi RM, Thompson DJ, Fasching PA, Stone J, Southey MC, Winham S, Lindström S, Lilyquist J, Giles GG, Milne RL, MacInnis RJ, Baglietto L, Li J, Czene K, Bolla MK, Wang Q, Dennis J, Haeberle L, Eriksson M, Kraft P, Luben R, Wareham N, Olson JE, Norman A, Polley EC, Maskarinec G, Le Marchand L, Haiman CA, Hopper JL, Couch FJ, Easton DF, Hall P, Chatterjee N, Garcia-Closas M.
    • Breast Cancer Res. 2019 May 22;21(1):68. doi: 10.1186/s13058-019-1138-8.
    • A systematic review and quality assessment of individualised breast cancer risk prediction models.
    • Louro J, Posso M, Hilton Boon M, Román M, Domingo L, Castells X, Sala M.
    • Br J Cancer. 2019 May 22. doi: 10.1038/s41416-019-0476-8. [Epub ahead of print]
    • Breast Cancer Susceptibility—Towards Individualised Risk Prediction.
    • Lakeman IMM, Schmidt MK, van Asperen CJ, Devilee P.
    • Curr Genet Med Rep. 2019 May 17. doi: 10.1007/s40142-019-00168-5. [Epub ahead of print]
    • Customized breast cancer risk assessment in an ambulatory clinic: a portal for identifying women at risk.
    • Weiss A, Grossmith S, Cutts D, Mikami SA, Suskin JA, Graichen MK, Rojas NA, Pace LE, Joyce E, Rhei E, Scheib R, Bychkovsky B, Garber JE, Morganstern D, King TA.
    • Breast Cancer Res Treat. 2019 May;175(1):229-237. doi: 10.1007/s10549-018-05116-5. Epub 2019 Jan 21.
    • Comparison of questionnaire-based breast cancer prediction models in the Nurses' Health Study.
    • Glynn RJ, Colditz GA, Tamimi RM, Chen WY, Hankinson SE, Willett WC, Rosner BA.
    • Cancer Epidemiol Biomarkers Prev. 2019 Apr 23. pii: cebp.1039.2018. doi: 10.1158/1055-9965.EPI-18-1039. [Epub ahead of print]
    • Hereditary Breast Cancer Risk Analysis in Uninsured Mexican-Origin Women Living in the U.S.-Mexico Border Region.
    • Salinas JJ, Roy R, Dwivedi AK, Shokar NK.
    • Hisp Health Care Int. 2019 Apr 12:1540415319837850. doi: 10.1177/1540415319837850. [Epub ahead of print]
    • Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants.
    • Evans DGR, Harkness EF, Brentnall AR, van Veen EM, Astley SM, Byers H, Sampson S, Southworth J, Stavrinos P, Howell SJ, Maxwell AJ, Howell A, Newman WG, Cuzick J.
    • Breast Cancer Res Treat. 2019 Apr 2. doi: 10.1007/s10549-019-05210-2. [Epub ahead of print]
    • Height and Body Mass Index as Modifiers of Breast Cancer Risk in BRCA1/2 Mutation Carriers: A Mendelian Randomization Study.
    • Qian F, Wang S, Mitchell J, McGuffog L, Barrowdale D, Leslie G, Oosterwijk JC, Chung WK, Evans DG, Engel C, Kast K, Aalfs CM, Adank MA, Adlard J, Agnarsson BA, Aittomäki K, Alducci E, Andrulis IL, Arun BK, Ausems MGEM, Azzollini J, Barouk-Simonet E, Barwell J, Belotti M, Benitez J, Berger A, Borg A, Bradbury AR, Brunet J, Buys SS, Caldes T, Caligo MA, Campbell I, Caputo SM, Chiquette J, Claes KBM, Margriet Collée J, Couch FJ, Coupier I, Daly MB, Davidson R, Diez O, Domchek SM, Donaldson A, Dorfling CM, Eeles R, Feliubadaló L, Foretova L, Fowler J, Friedman E, Frost D, Ganz PA, Garber J, Garcia-Barberan V, Glendon G, Godwin AK, Gómez Garcia EB, Gronwald J, Hahnen E, Hamann U, Henderson A, Hendricks CB, Hopper JL, Hulick PJ, Imyanitov EN, Isaacs C, Izatt L, Izquierdo Á, Jakubowska A, Kaczmarek K, Kang E, Karlan BY, Kets CM, Kim SW, Kim Z, Kwong A, Laitman Y, Lasset C, Hyuk Lee M, Won Lee J, Lee J, Lester J, Lesueur F, Loud JT, Lubinski J, Mebirouk N, Meijers-Heijboer HEJ, Meindl A, Miller A, Montagna M, Mooij TM, Morrison PJ, Mouret-Fourme E, Nathanson KL, Neuhausen SL, Nevanlinna H, Niederacher D, Nielsen FC, Nussbaum RL, Offit K, Olah E, Ong KR, Ottini L, Park SK, Peterlongo P, Pfeiler G, Phelan CM, Poppe B, Pradhan N, Radice P, Ramus SJ, Rantala J, Robson M, Rodriguez GC, Schmutzler RK, Hutten Selkirk CG, Shah PD, Simard J, Singer CF, Sokolowska J, Stoppa-Lyonnet D, Sutter C, Yen Tan Y, Teixeira RM, Teo SH, Terry MB, Thomassen M, Tischkowitz M, Toland AE, Tucker KM, Tung N, van Asperen CJ, van Engelen K, van Rensburg EJ, Wang-Gohrke S, Wappenschmidt B, Weitzel JN, Yannoukakos D; GEMO Study Collaborators; HEBON; EMBRACE, Greene MH, Rookus MA, Easton DF, Chenevix-Trench G, Antoniou AC, Goldgar DE, Olopade OI, Rebbeck TR, Huo D.
    • J Natl Cancer Inst. 2019 Apr 1;111(4):350-364. doi: 10.1093/jnci/djy132.
    • Development and pilot testing of a leaflet informing women with breast cancer about genomic testing for polygenic risk.
    • Kaur R, Meiser B, Yanes T, Young MA, Barlow-Stewart K, Roscioli T, Smith S, James PA.
    • Fam Cancer. 2019 Apr;18(2):147-152. doi: 10.1007/s10689-018-0104-4.
    • High-risk women's risk perception after receiving personalized polygenic breast cancer risk information.
    • Forrest LE, Sawyer SD, Hallowell N, James PA, Young MA.
    • J Community Genet. 2019 Apr;10(2):197-206. doi: 10.1007/s12687-018-0378-0. Epub 2018 Aug 10.
    • 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. doi: 10.1016/S1470-2045(18)30902-1. Epub 2019 Feb 21.

    Commentary:

    Assessment of breast cancer risk: which tools to use?

    • Breast cancer risk prediction in women aged 35-50 years: impact of including sex hormone concentrations in the Gail model.
    • Clendenen TV, Ge W, Koenig KL, Afanasyeva Y, Agnoli C, Brinton LA, Darvishian F, Dorgan JF, Eliassen AH, Falk RT, Hallmans G, Hankinson SE, Hoffman-Bolton J, Key TJ, Krogh V, Nichols HB, Sandler DP, Schoemaker MJ, Sluss PM, Sund M, Swerdlow AJ, Visvanathan K, Zeleniuch-Jacquotte A, Liu M.
    • Breast Cancer Res. 2019 Mar 19;21(1):42. doi: 10.1186/s13058-019-1126-z.
    • Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis.
    • Fung SM, Wong XY, Lee SX, Miao H, Hartman M, Wee HL.
    • Cancer Epidemiol Biomarkers Prev. 2019 Mar;28(3):506-521. doi: 10.1158/1055-9965.EPI-18-0810. Epub 2018 Dec 18.
    • Review
    • Author response to "a response to 'personalised medicine and population health: breast and ovarian cancer'".
    • Narod SA.
    • Hum Genet. 2019 Mar;138(3):291-292. doi: 10.1007/s00439-019-01981-2. Epub 2019 Feb 21.
    • Letter, Reply

    Letter, Commentary:

    A response to "Personalised medicine and population health: breast and ovarian cancer".

    Review:

    Personalised medicine and population health: breast and ovarian cancer.

    • Consumer and clinician perspectives on personalising breast cancer prevention information.
    • Keogh LA, Steel E, Weideman P, Butow P, Collins IM, Emery JD, Mann GB, Bickerstaffe A, Trainer AH, Hopper LJ, Phillips KA.
    • Breast. 2019 Feb;43:39-47. doi: 10.1016/j.breast.2018.11.002. Epub 2018 Nov 7.
    • Guidelines-Based Cancer Risk Assessment.
    • Forman A, Schwartz S.
    • Semin Oncol Nurs. 2019 Feb;35(1):34-46. doi: 10.1016/j.soncn.2018.12.010. Epub 2019 Jan 22.
    • The Impact of a Risk-Based Breast Cancer Screening Decision Aid on Initiation of Mammography Among Younger Women: Report of a Randomized Trial.
    • Schapira MM, Hubbard RA, Seitz HH, Conant EF, Schnall M, Cappella JN, Harrington T, Inge C, Armstrong K.
    • MDM Policy Pract. 2019 Jan 17;4(1):2381468318812889. doi: 10.1177/2381468318812889. eCollection 2019 Jan-Jun.
    • 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 Jan 15. doi: 10.1038/s41436-018-0406-9. [Epub ahead of print]
    • Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.
    • Mavaddat N, Michailidou K, Dennis J, Lush M, Fachal L, Lee A, Tyrer JP, Chen TH, Wang Q, Bolla MK, Yang X, Adank MA, Ahearn T, Aittomäki K, Allen J, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Auer PL, Auvinen P, Barrdahl M, Beane Freeman LE, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bernstein L, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Børresen-Dale AL, Brauch H, Bremer M, Brenner H, Brentnall A, Brock IW, Brooks-Wilson A, Brucker SY, Brüning T, Burwinkel B, Campa D, Carter BD, Castelao JE, Chanock SJ, Chlebowski R, Christiansen H, Clarke CL, Collée JM, Cordina-Duverger E, Cornelissen S, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dos-Santos-Silva I, Dumont M, Durcan L, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Ellberg C, Engel C, Eriksson M, Evans DG, Fasching PA, Figueroa J, Fletcher O, Flyger H, Försti A, Fritschi L, Gabrielson M, Gago-Dominguez M, Gapstur SM, García-Sáenz JA, Gaudet MM, Georgoulias V, Giles GG, Gilyazova IR, Glendon G, Goldberg MS, Goldgar DE, González-Neira A, Grenaker Alnæs GI, Grip M, Gronwald J, Grundy A, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hankinson SE, Harkness EF, Hart SN, He W, Hein A, Heyworth J, Hillemanns P, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Huang G, Humphreys K, Hunter DJ, Jakimovska M, Jakubowska A, Janni W, John EM, Johnson N, Jones ME, Jukkola-Vuorinen A, Jung A, Kaaks R, Kaczmarek K, Kataja V, Keeman R, Kerin MJ, Khusnutdinova E, Kiiski JI, Knight JA, Ko YD, Kosma VM, Koutros S, Kristensen VN, Krüger U, Kühl T, Lambrechts D, Le Marchand L, Lee E, Lejbkowicz F, Lilyquist J, Lindblom A, Lindström S, Lissowska J, Lo WY, Loibl S, Long J, Lubiński J, Lux MP, MacInnis RJ, Maishman T, Makalic E, Maleva Kostovska I, Mannermaa A, Manoukian S, Margolin S, Martens JWM, Martinez ME, Mavroudis D, McLean C, Meindl A, Menon U, Middha P, Miller N, Moreno F, Mulligan AM, Mulot C, Muñoz-Garzon VM, Neuhausen SL, Nevanlinna H, Neven P, Newman WG, Nielsen SF, Nordestgaard BG, Norman A, Offit K, Olson JE, Olsson H, Orr N, Pankratz VS, Park-Simon TW, Perez JIA, Pérez-Barrios C, Peterlongo P, Peto J, Pinchev M, Plaseska-Karanfilska D, Polley EC, Prentice R, Presneau N, Prokofyeva D, Purrington K, Pylkäs K, Rack B, Radice P, Rau-Murthy R, Rennert G, Rennert HS, Rhenius V, Robson M, Romero A, Ruddy KJ, Ruebner M, Saloustros E, Sandler DP, Sawyer EJ, Schmidt DF, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schumacher F, Schürmann P, Schwentner L, Scott C, Scott RJ, Seynaeve C, Shah M, Sherman ME, Shrubsole MJ, Shu XO, Slager S, Smeets A, Sohn C, Soucy P, Southey MC, Spinelli JJ, Stegmaier C, Stone J, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Thöne K, Tollenaar RAEM, Tomlinson I, Truong T, Tzardi M, Ulmer HU, Untch M, Vachon CM, van Veen EM, Vijai J, Weinberg CR, Wendt C1, Whittemore AS, Wildiers H, Willett W, Winqvist R, Wolk A, Yang XR, Yannoukakos D, Zhang Y, Zheng W, Ziogas A; ABCTB Investigators; kConFab/AOCS Investigators; NBCS Collaborators, Dunning AM, Thompson DJ, Chenevix-Trench G, Chang-Claude J, Schmidt MK, Hall P, Milne RL, Pharoah PDP, Antoniou AC, Chatterjee N, Kraft P, García-Closas M, Simard J, Easton DF.
    • Am J Hum Genet. 2019 Jan 3;104(1):21-34. doi: 10.1016/j.ajhg.2018.11.002. Epub 2018 Dec 13.
    • Competing Risks for a Diagnosis of Invasive Breast Cancer.
    • Syn NL.
    • JAMA Oncol. 2019 Jan 1;5(1):110-111. doi: 10.1001/jamaoncol.2018.5058.
    • Letter, Comment

    Original Research:

    Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density.

    Letter, Reply:

    Competing Risks for a Diagnosis of Invasive Breast Cancer—Reply.

    • Evaluating and improving the implementation of a community-based hereditary cancer screening program.
    • Greenberg S, Yashar BM, Pearlman M, Duquette D, Milliron K, Marvin M.
    • J Community Genet. 2019 Jan;10(1):51-60. doi: 10.1007/s12687-018-0357-5. Epub 2018 Mar 5.
    • Clinicians' use of breast cancer risk assessment tools according to their perceived importance of breast cancer risk factors: an international survey.
    • Brédart A, Kop JL, Antoniou AC, Cunningham AP, De Pauw A, Tischkowitz M, Ehrencrona H, Schmidt MK, Dolbeault S, Rhiem K, Easton DF, Devilee P, Stoppa-Lyonnet D, Schmutlzer R.
    • J Community Genet. 2019 Jan;10(1):61-71. doi: 10.1007/s12687-018-0362-8. Epub 2018 Mar 5.
    • Prospective validation of the NCI Breast Cancer Risk Assessment Tool (Gail Model) on 40,000 Australian women.
    • Nickson C, Procopio P, Velentzis LS, Carr S, Devereux L, Mann GB, James P, Lee G, Wellard C, Campbell I.
    • Breast Cancer Res. 2018 Dec 20;20(1):155. doi: 10.1186/s13058-018-1084-x.

    Press: Could Gail Model Allow Personalized Breast Screening? (Medscape Oncology)

    • Inclusion of Plasma Prolactin Levels in Current Risk Prediction Models of Premenopausal and Postmenopausal Breast Cancer.
    • Gabrielson M, Ubhayasekera K, Ek B, Andersson Franko M, Eriksson M, Czene K, Bergquist J, Hall P.
    • JNCI Cancer Spectr. 2018 Dec 4;2(4):pky055. doi: 10.1093/jncics/pky055. eCollection 2018 Oct.
    • Cancer Risk Estimates for Study of Multiple-Gene Testing After Diagnosis of Breast Cancer.
    • Narod SA.
    • JAMA Oncol. 2018 Dec 1;4(12):1787-1788. doi: 10.1001/jamaoncol.2018.4931.
    • Letter, Comment

    Original Research:

    Uptake, Results, and Outcomes of Germline Multiple-Gene Sequencing After Diagnosis of Breast Cancer.

    Letter, reply:

    Cancer Risk Estimates for Study of Multiple-Gene Testing After Diagnosis of Breast Cancer—Reply

    • The iPrevent Online Breast Cancer Risk Assessment and Risk Management Tool: Usability and Acceptability Testing.
    • Lo LL, Collins IM, Bressel M, Butow P, Emery J, Keogh L, Weideman P, Steel E, Hopper JL, Trainer AH, Mann GB, Bickerstaffe A, Antoniou AC, Cuzick J, Phillips KA.
    • JMIR Form Res. 2018 Nov 7;2(2):e24. doi: 10.2196/formative.9935.
    • A randomized controlled trial of a supportive expressive group intervention for women with a family history of breast cancer.
    • Esplen MJ, Leszcz M, Hunter J, Wong J, Leung YW, Toner B, Messner S, Glendon G, Stuckless N, Butler C.
    • Psychooncology. 2018 Nov;27(11):2645-2653. doi: 10.1002/pon.4822. Epub 2018 Jul 17.
    • Personalised medicine and population health: breast and ovarian cancer.
    • Narod SA.
    • Hum Genet. 2018 Oct;137(10):769-778. doi: 10.1007/s00439-018-1944-6. Epub 2018 Oct 17.
    • Review

    Letter, Commentary:

    A response to "Personalised medicine and population health: breast and ovarian cancer".

    Letter, Reply:

    Author response to “a response to ‘personalised medicine and population health: breast and ovarian cancer’”.

    • 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 1;4(9):e180174. doi: 10.1001/jamaoncol.2018.0174. Epub 2018 Sep 13.

    Letter, Comment:

    Competing Risks for a Diagnosis of Invasive Breast Cancer

    Letter, Reply:

    Competing Risks for a Diagnosis of Invasive Breast Cancer—Reply.

    • Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening.
    • Gail MH, Pfeiffer RM.
    • J Natl Cancer Inst. 2018 Sep 1;110(9):994-1002. doi: 10.1093/jnci/djy013.
    • Accuracy of Risk Prediction Models for Breast Cancer and BRCA1/BRCA2 Mutation Carrier Probabilities in Israel.
    • Kenan ES, Friger M, Shochat-Bigon D, Schayek H, Bernstein-Molho R, Friedman E.
    • Anticancer Res. 2018 Aug;38(8):4557-4563. doi: 10.21873/anticanres.12760.
    • The Pink Underside: The Commercialization of Medical Risk Assessment and Decision-Making Tools for Hereditary Breast Cancer Risk.
    • Hesse-Biber S, Flynn B, Farrelly K.
    • Qual Health Res. 2018 Aug;28(10):1523-1538. doi: 10.1177/1049732318767395. Epub 2018 Apr 11.
    • The impact of patient age on breast cancer risk prediction models.
    • Coopey SB, Acar A, Griffin M, Cintolo-Gonzalez J, Semine A, Hughes KS.
    • Breast J. 2018 Jul;24(4):592-598. doi: 10.1111/tbj.12976. Epub 2018 Jan 8.
    • Development of a Breast Cancer Risk Prediction Model for Women in Nigeria.
    • Wang S, Ogundiran T, Ademola A, Olayiwola OA, Adeoye A, Sofoluwe A, Morhason-Bello I, Odedina S, Agwai I, Adebamowo C, Obajimi M, Ojengbede O, Olopade OI, Huo D.
    • Cancer Epidemiol Biomarkers Prev. 2018 Jun;27(6):636-643. doi: 10.1158/1055-9965.EPI-17-1128. Epub 2018 Apr 20.
    • Risk, Prediction and Prevention of Hereditary Breast Cancer - Large-Scale Genomic Studies in Times of Big and Smart Data.
    • Wunderle M, Olmes G, Nabieva N, Häberle L, Jud SM, Hein A, Rauh C, Hack CC, Erber R, Ekici AB, Hoyer J, Vasileiou G, Kraus C, Reis A, Hartmann A, Schulz-Wendtland R, Lux MP, Beckmann MW, Fasching PA.
    • Geburtshilfe Frauenheilkd. 2018 May;78(5):481-492. doi: 10.1055/a-0603-4350. Epub 2018 Jun 4.
    • Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction.
    • van Veen EM, Brentnall AR, Byers H, Harkness EF, Astley SM, Sampson S, Howell A, Newman WG, Cuzick J, Evans DGR.
    • JAMA Oncol. 2018 Apr 1;4(4):476-482. doi: 10.1001/jamaoncol.2017.4881.

    Press: Use of SNPs Boosts Accuracy of Breast Cancer Risk Assessment. (Medscape/Reuters)

    • Assessing the effectiveness of NICE criteria for stratifying breast cancer risk in a UK cohort.
    • Littlejohn LA, Gibbs J, Jordan LB, Miedzybrodzka ZH, Bell C, Goudie D, Dunlop J, Berg JN.
    • Eur J Hum Genet. 2018 Apr;26(4):599-603. doi: 10.1038/s41431-017-0072-4. Epub 2018 Jan 15.
    • Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future.
    • Lilyquist J, Ruddy KJ, Vachon CM, Couch FJ.
    • Cancer Epidemiol Biomarkers Prev. 2018 Apr;27(4):380-394. doi: 10.1158/1055-9965.EPI-17-1144. Epub 2018 Jan 30.
    • Health literacy and the perception of risk in a breast cancer family history clinic.
    • Rutherford EJ, Kelly J, Lehane EA, Livingstone V, Cotter B, Butt A, O'Sullivan MJ, O Connell F, Redmond HP, Corrigan MA.
    • Surgeon. 2018 Apr;16(2):82-88. doi: 10.1016/j.surge.2016.06.003. Epub 2016 Nov 29.
    • Assessment of performance of the Gail model for predicting breast cancer risk: a systematic review and meta-analysis with trial sequential analysiss
    • Wang X, Huang Y, Li L, Dai H, Song F, Chen K.
    • Breast Cancer Res. 2018 Mar 13;20(1):18. doi: 10.1186/s13058-018-0947-5.
    • Molecular-genetic models for prognosis of development of tumors of reproductive system in women with family history of cancer.
    • Paliychuk OV, Polishchuk LZ, Rossokha ZI, Chekhun VF.
    • Exp Oncol. 2018 Mar;40(1):59-67.
    • Patient-Centered Care in Breast Cancer Genetic Clinics.
    • Brédart A, Anota A, Dick J, Kuboth V, Lareyre O, De Pauw A, Cano A, Stoppa-Lyonnet D, Schmutzler R, Dolbeault S, Kop JL.
    • Int J Environ Res Public Health. 2018 Feb 12;15(2). pii: E319. doi: 10.3390/ijerph15020319.
    • Genetics of Breast and Gynecologic Cancers (PDQ®): Health Professional Version. Introduction. Models for Prediction of Breast and Gynecologic Cancer Risk.
    • PDQ Cancer Genetics Editorial Board.
    • PDQ Cancer Information Summaries [Internet]. Bethesda, MD: National Cancer Institute. Updated 2017 Nov 30. Accessed 2017 Dec 8.
    • Screening for familial cancer risk: Focus on breast cancer.
    • Rousset-Jablonski C, Gompel A.
    • Maturitas. 2017 Nov;105:69-77. doi: 10.1016/j.maturitas.2017.08.004. Epub 2017 Aug 7.
    • Review
    • Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms.
    • Li H, Giger ML, Huynh BQ, Antropova NO.
    • J Med Imaging (Bellingham). 2017 Oct;4(4):041304. doi: 10.1117/1.JMI.4.4.041304. Epub 2017 Sep 13.
    • Contralateral Prophylactic Mastectomy.
    • Ramaswami R, Morrow M, Jagsi R.
    • N Engl J Med. 2017 Sep 28;377(13):1288-1291. doi: 10.1056/NEJMclde1708293.
    • Added Value of Serum Hormone Measurements in Risk Prediction Models for Breast Cancer for Women Not Using Exogenous Hormones: Results from the EPIC Cohort.
    • Husing A, Fortner RT, Kuhn T, Overvad K, Tjonneland A, Olsen A, Boutron-Ruault MC, Severi G, Fournier A, Boeing H, Trichopoulou A, Benetou V, Orfanos P, Masala G, Pala V, Tumino R, Fasanelli F, Panico S, Bueno-de-Mesquita HB, Peeters P, van Gils CH, Quiros JR, Agudo A, Sanchez MJ, Chirlaque MD, Barricarte A, Amiano P, Khaw KT, Travis RC, Dossus L, Li K, Ferrari P, Merritt MA, Tzoulaki I, Riboli E, Kaaks R.
    • Clin Cancer Res. 2017 Aug 1;23(15):4181-4189. doi: 10.1158/1078-0432.CCR-16-3011. Epub 2017 Feb 28.
    • Family history and risk of breast cancer: an analysis accounting for family structure.
    • Brewer HR, Jones ME, Schoemaker MJ, Ashworth A, Swerdlow AJ.
    • Breast Cancer Res Treat. 2017 Aug;165(1):193-200. doi: 10.1007/s10549-017-4325-2. Epub 2017 Jun 3.
    • Extensions of the Rosner-Colditz breast cancer prediction model to include older women and type-specific predicted risk.
    • Glynn RJ, Colditz GA, Tamimi RM, Chen WY, Hankinson SE, Willett WW, Rosner B.
    • Breast Cancer Res Treat. 2017 Aug;165(1):215-223. doi: 10.1007/s10549-017-4319-0. Epub 2017 Jun 6.
    • Psychosocial and behavioral impact of breast cancer risk assessed by testing for common risk variants: protocol of a prospective study.
    • Yanes T, Meiser B, Young MA, Kaur R, Mitchell G, Barlow-Stewart K, Roscioli T, Halliday J, James P.
    • BMC Cancer. 2017 Jul 18;17(1):491. doi: 10.1186/s12885-017-3485-0.
    • Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications.
    • Cintolo-Gonzalez JA, Braun D, Blackford AL, Mazzola E, Acar A, Plichta JK, Griffin M, Hughes KS.
    • Breast Cancer Res Treat. 2017 Jul;164(2):263-284. doi: 10.1007/s10549-017-4247-z. Epub 2017 Apr 25.
    • Review
    • Practice Bulletin Number 179: Breast Cancer Risk Assessment and Screening in Average-Risk Women.
    • [No authors listed]
    • Obstet Gynecol. 2017 Jul;130(1):e1-e16. doi: 10.1097/AOG.0000000000002158.

    Summary:

    Practice Bulletin No. 179 Summary: Breast Cancer Risk Assessment and Screening in Average-Risk Women.

    • Use of the BOADICEA Web Application in clinical practice: appraisals by clinicians from various countries.
    • Brédart A, Kop JL, Antoniou AC, Cunningham AP, De Pauw A, Tischkowitz M, Ehrencrona H, Dolbeault S, Robieux L, Rhiem K, Easton DF, Devilee P, Stoppa-Lyonnet D, Schmutlzer R.
    • Fam Cancer. 2017 Jun 16. doi: 10.1007/s10689-017-0014-x. [Epub ahead of print]
    • Extensions of the Rosner-Colditz breast cancer prediction model to include older women and type-specific predicted risk.
    • Glynn RJ, Colditz GA, Tamimi RM, Chen WY, Hankinson SE, Willett WW, Rosner B.
    • Breast Cancer Res Treat. 2017 Jun 6. doi: 10.1007/s10549-017-4319-0. [Epub ahead of print]
    • 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. doi: 10.1016/j.clbc.2017.01.003. Epub 2017 Jan 18.
    • Breast Cancer Risk Assessment Models and High-Risk Screening.
    • Barke LD, Freivogel ME.
    • Radiol Clin North Am. 2017 May;55(3):457-474. doi: 10.1016/j.rcl.2016.12.013.
    • Review
    • Increased Identification of Candidates for High-Risk Breast Cancer Screening Through Expanded Genetic Testing.
    • Rosenthal ET, Evans B, Kidd J, Brown K, Gorringe H, van Orman M, Manley S.
    • J Am Coll Radiol. 2017 Apr;14(4):561-568. doi: 10.1016/j.jacr.2016.10.003. Epub 2016 Dec 20.
    • Testing for Gene-Environment Interactions Using a Prospective Family Cohort Design: Body Mass Index in Early and Later Adulthood and Risk of Breast Cancer.
    • Dite GS, MacInnis RJ, Bickerstaffe A, Dowty JG, Milne RL, Antoniou AC, Weideman P, Apicella C, Giles GG, Southey MC, Jenkins MA, Phillips KA, Win AK, Terry MB, Hopper JL.
    • Am J Epidemiol. 2017 Mar 15;185(6):487-500. doi: 10.1093/aje/kww241.
    • 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; FH-risk study Group, Newman WG, Cuzick J.
    • J Med Genet. 2017 Feb;54(2):111-113. doi: 10.1136/jmedgenet-2016-104125. Epub 2016 Oct 28.
    • Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial.
    • Shieh Y, Eklund M, Madlensky L, Sawyer SD, Thompson CK, Stover Fiscalini A, Ziv E, Van't Veer LJ, Esserman LJ, Tice JA; Athena Breast Health Network Investigators.
    • J Natl Cancer Inst. 2017 Jan 27;109(5). pii: djw290. doi: 10.1093/jnci/djw290. Print 2017 Jan.
    • Review

    Editorial:

    The Complexity of Achieving the Promise of Precision Breast Cancer Screening.

    • Common breast cancer risk alleles and risk assessment: A study on 35,441 individuals from the Danish general population.
    • Näslund-Koch C, Nordestgaard BG, Bojesen SE.
    • Ann Oncol. 2017 Jan 1;28(1):175-181. doi: 10.1093/annonc/mdw536.

    Press: Could Summing Up Breast Cancer Risk Alleles Reduce Unneeded Mammograms? (CancerNetwork)

    • A model for individualized risk prediction of contralateral breast cancer.
    • Chowdhury M, Euhus D, Onega T, Biswas S, Choudhary PK.
    • Breast Cancer Res Treat. 2017 Jan;161(1):153-160. doi: 10.1007/s10549-016-4039-x. Epub 2016 Nov 4.
    • Breast cancer risk prediction using a polygenic risk score in the familial setting: a prospective study from the Breast Cancer Family Registry and kConFab.
    • Li H, Feng B, Miron A, Chen X, Beesley J, Bimeh E, Barrowdale D, John EM, Daly MB, Andrulis IL, Buys SS, Kraft P; kConFab investigators, Thorne H, Chenevix-Trench G, Southey MC, Antoniou AC, James PA, Terry MB, Phillips KA, Hopper JL, Mitchell G, Goldgar DE.
    • Genet Med. 2017 Jan;19(1):30-35. doi: 10.1038/gim.2016.43. Epub 2016 May 12.
    • Computing Individual Risks Based on Family History in Genetic Disease in the Presence of Competing Risks.
    • Nuel G, Lefebvre A, Bouaziz O.
    • Comput Math Methods Med. 2017;2017:9193630. doi: 10.1155/2017/9193630. Epub 2017 Nov 9.
    • Incorporating truncating variants in PALB2, CHEK2, and ATM into the BOADICEA breast cancer risk model.
    • Lee AJ, Cunningham AP, Tischkowitz M, Simard J, Pharoah PD, Easton DF, Antoniou AC.
    • Genet Med. 2016 Dec;18(12):1190-1198. doi: 10.1038/gim.2016.31. Epub 2016 Apr 14.

    Comments on NSGC Discussion Forum Cancer SIG

    Subject: PALB2 breast cancer recurrence

    Subject: article request

    • Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States.
    • Maas P, Barrdahl M, Joshi AD, Auer PL, Gaudet MM, Milne RL, Schumacher FR, Anderson WF, Check D, Chattopadhyay S, Baglietto L, Berg CD, Chanock SJ, Cox DG, Figueroa JD, Gail MH, Graubard BI, Haiman CA, Hankinson SE, Hoover RN, Isaacs C, Kolonel LN, Le Marchand L, Lee IM, Lindström S, Overvad K, Romieu I, Sanchez MJ, Southey MC, Stram DO, Tumino R, VanderWeele TJ, Willett WC, Zhang S, Buring JE, Canzian F, Gapstur SM, Henderson BE, Hunter DJ, Giles GG, Prentice RL, Ziegler RG, Kraft P, Garcia-Closas M, Chatterjee N.
    • JAMA Oncol. 2016 Oct 1;2(10):1295-1302. doi: 10.1001/jamaoncol.2016.1025.

    Editorial

    Building and Validating Complex Models of Breast Cancer Risk.

    • Breast cancer risk prediction using a clinical risk model and polygenic risk score.
    • Shieh Y, Hu D, Ma L, Huntsman S, Gard CC, Leung JW, Tice JA, Vachon CM, Cummings SR, Kerlikowske K, Ziv E.
    • Breast Cancer Res Treat. 2016 Oct;159(3):513-25. doi: 10.1007/s10549-016-3953-2. Epub 2016 Aug 26.
    • BRCA2: a grown-up cancer susceptibility gene.
    • Foulkes WD, Sugano K.
    • Endocr Relat Cancer. 2016 Oct;23(10):E1-E3.

    Review:

    BRCA2 functions: from DNA repair to replication fork stabilization.

    Review:

    Defects in homologous recombination repair behind the human diseases: FA and HBOC.

    Review:

    Synthetic lethality: the road to novel therapies for breast cancer.

    Review:

    Pancreatic ductal adenocarcinoma in BRCA2 mutation carriers.

    Review:

    Modifiers of breast and ovarian cancer risks for BRCA1 and BRCA2 mutation carriers.

    • Modifiers of breast and ovarian cancer risks for BRCA1 and BRCA2 mutation carriers.
    • Milne RL, Antoniou A.
    • Endocr Relat Cancer. 2016 Oct;23(10):T69-T84. Epub 2016 Aug 15.

    Introductory article, Editorial:

    BRCA2: a grown-up cancer susceptibility gene.

    • Clinical utility of a Web-enabled risk-assessment and clinical decision support program.
    • Orlando LA, Wu RR, Myers RA, Buchanan AH, Henrich VC, Hauser ER, Ginsburg GS.
    • Genet Med. 2016 Oct;18(10):1020-8. doi: 10.1038/gim.2015.210. Epub 2016 Mar 3.
    • Polygenic risk score is associated with increased disease risk in 52 Finnish breast cancer families.
    • Muranen TA, Mavaddat N, Khan S, Fagerholm R, Pelttari L, Lee A, Aittomäki K, Blomqvist C, Easton DF, Nevanlinna H.
    • Breast Cancer Res Treat. 2016 Aug;158(3):463-9. doi: 10.1007/s10549-016-3897-6. Epub 2016 Jul 20.
    • Improvement in risk prediction, early detection and prevention of breast cancer in the NHS Breast Screening Programme and family history clinics: a dual cohort study.
    • Evans DG, Astley S, Stavrinos P, Harkness E, Donnelly LS, Dawe S, Jacob I, Harvie M, Cuzick J, Brentnall A, Wilson M, Harrison F, Payne K, Howell A.
    • Southampton (UK): NIHR Journals Library; 2016 Aug.
    • Transitioning to routine breast cancer risk assessment and management in primary care: what can we learn from cardiovascular disease?
    • Phillips KA, Steel EJ, Collins I, Emery J, Pirotta M, Mann GB, Butow P, Hopper JL, Trainer A, Moreton J, Antoniou AC, Cuzick J, Keogh L.
    • Aust J Prim Health. [2016 Jun;]22(3):255-61. doi: 10.1071/PY14156.
    • Adding Risk Markers Improves Breast Cancer Risk Prediction.
    • Alexander M. Castellino.
    • Medscape Medical News. Conference News. American Association for Cancer Research (AACR) 2016 Annual Meeting. 2016 Apr 25.
    • Performance of the Breast Cancer Risk Assessment Tool Among Women Age 75 Years and Older.
    • Schonberg MA, Li VW, Eliassen AH, Davis RB, LaCroix AZ, McCarthy EP, Rosner BA, Chlebowski RT, Rohan TE, Hankinson SE, Marcantonio ER, Ngo LH.
    • J Natl Cancer Inst. 2015 Nov 30;108(3). pii: djv348. doi: 10.1093/jnci/djv348. Print 2016 Mar.
    • iPrevent(®): a tailored, web-based, decision support tool for breast cancer risk assessment and management.
    • Collins IM, Bickerstaffe A, Ranaweera T, Maddumarachchi S, Keogh L, Emery J, Mann GB, Butow P, Weideman P, Steel E, Trainer A, Bressel M, Hopper JL, Cuzick J, Antoniou AC, Phillips KA.
    • Breast Cancer Res Treat. 2016 Feb;156(1):171-82. doi: 10.1007/s10549-016-3726-y. Epub 2016 Feb 24.
    • Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry.
    • Dite GS, MacInnis RJ, Bickerstaffe A, Dowty JG, Allman R, Apicella C, Milne RL, Tsimiklis H, Phillips KA, Giles GG, Terry MB, Southey MC, Hopper JL.
    • Cancer Epidemiol Biomarkers Prev. 2016 Feb;25(2):359-65. doi: 10.1158/1055-9965.EPI-15-0838. Epub 2015 Dec 16.
    • Associations of Breast Cancer Risk Prediction Tools With Tumor Characteristics and Metastasis.
    • Holm J, Li J, Darabi H, Eklund M, Eriksson M, Humphreys K, Hall P, Czene K.
    • J Clin Oncol. 2016 Jan 20;34(3):251-8. doi: 10.1200/JCO.2015.63.0624. Epub 2015 Nov 30.
    • Breast Cancer Risk Based on the Gail Model and its Predictors in Iranian Women.
    • Mirghafourvand M, Mohammad-Alizadeh-Charandabi S, Ahmadpour P, Rahi P.
    • Asian Pac J Cancer Prev. 2016;17(8):3741-5.
    • 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 1;17(1):147. doi: 10.1186/s13058-015-0653-5.
    • SNPs and breast cancer risk prediction for African American and Hispanic women.
    • Allman R, Dite GS, Hopper JL, Gordon O, Starlard-Davenport A, Chlebowski R, Kooperberg C.
    • Breast Cancer Res Treat. 2015 Dec;154(3):583-9. doi: 10.1007/s10549-015-3641-7. Epub 2015 Nov 20.
    • The readability of online breast cancer risk assessment tools.
    • Cortez S, Milbrandt M, Kaphingst K, James A, Colditz G.
    • Breast Cancer Res Treat. 2015 Nov;154(1):191-9.
    • A model for estimating ovarian cancer risk: Application for preventive oophorectomy.
    • Giannakeas V, Sopik V, Shestopaloff K, Iqbal J, Rosen B, Akbari M, Narod SA.
    • Gynecol Oncol. 2015 Nov;139(2):242-247. doi: 10.1016/j.ygyno.2015.08.020. Epub 2015 Sep 2.
    • Identifying post-menopausal women at elevated risk for epithelial ovarian cancer.
    • Urban N, Hawley S, Janes H, Karlan BY, Berg CD, Drescher CW, Manson JE, Palomares MR, Daly MB, Wactawski-Wende J, O'Sullivan MJ, Thorpe J, Robinson RD, Lane D, Li C, Anderson GL.
    • Gynecol Oncol. 2015 Nov;139(2):253-260. doi: 10.1016/j.ygyno.2015.08.024. Epub 2015 Sep 3.
    • Can the breast screening appointment be used to provide risk assessment and prevention advice?
    • Evans DG, Howell A.
    • Breast Cancer Res. 2015 Jul 9;17(1):84. doi: 10.1186/s13058-015-0595-y.
    • Assessing absolute changes in breast cancer risk due to modifiable risk factors.
    • Quante AS, Herz J, Whittemore AS, Fischer C, Strauch K, Terry MB.
    • Breast Cancer Res Treat. 2015 Jul;152(1):193-7. doi: 10.1007/s10549-015-3411-6. Epub 2015 May 27.
    • 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 May 8;107(7). pii: djv124. doi: 10.1093/jnci/djv124. Print 2015 Jul.
    • A case-control study to assess the impact of mammographic density on breast cancer risk in women aged 40-49 at intermediate familial risk.
    • Assi V, Massat NJ, Thomas S, MacKay J, Warwick J, Kataoka M, Warsi I, Brentnall A, Warren R, Duffy SW.
    • Int J Cancer. 2015 May 15;136(10):2378-87. doi: 10.1002/ijc.29275. Epub 2014 Nov 22.
    • Prediction of breast cancer risk based on profiling with common genetic variants.
    • Mavaddat N, Pharoah PD, Michailidou K, Tyrer J, Brook MN, Bolla MK, Wang Q, Dennis J, Dunning AM, Shah M, Luben R, Brown J, Bojesen SE, Nordestgaard BG, Nielsen SF, Flyger H, Czene K, Darabi H, Eriksson M, Peto J, Dos-Santos-Silva I, Dudbridge F, Johnson N, Schmidt MK, Broeks A, Verhoef S, Rutgers EJ, Swerdlow A, Ashworth A, Orr N, Schoemaker MJ, Figueroa J, Chanock SJ, Brinton L, Lissowska J, Couch FJ, Olson JE, Vachon C, Pankratz VS, Lambrechts D, Wildiers H, Van Ongeval C, van Limbergen E, Kristensen V, Grenaker Alnæs G, Nord S, Borresen-Dale AL, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Fasching PA, Haeberle L, Ekici AB, Beckmann MW, Burwinkel B, Marme F, Schneeweiss A, Sohn C, Trentham-Dietz A, Newcomb P, Titus L, Egan KM, Hunter DJ, Lindstrom S, Tamimi RM, Kraft P, Rahman N, Turnbull C, Renwick A, Seal S, Li J, Liu J, Humphreys K, Benitez J, Pilar Zamora M, Arias Perez JI, Menéndez P, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Bogdanova NV, Antonenkova NN, Dörk T, Anton-Culver H, Neuhausen SL, Ziogas A, Bernstein L, Devilee P, Tollenaar RA, Seynaeve C, van Asperen CJ, Cox A, Cross SS, Reed MW, Khusnutdinova E, Bermisheva M, Prokofyeva D, Takhirova Z, Meindl A, Schmutzler RK, Sutter C, Yang R, Schürmann P, Bremer M, Christiansen H, Park-Simon TW, Hillemanns P, Guénel P, Truong T, Menegaux F, Sanchez M, Radice P, Peterlongo P, Manoukian S, Pensotti V, Hopper JL, Tsimiklis H, Apicella C, Southey MC, Brauch H, Brüning T, Ko YD, Sigurdson AJ, Doody MM, Hamann U, Torres D, Ulmer HU, Försti A, Sawyer EJ, Tomlinson I, Kerin MJ, Miller N, Andrulis IL, Knight JA, Glendon G, Marie Mulligan A, Chenevix-Trench G, Balleine R, Giles GG, Milne RL, McLean C, Lindblom A, Margolin S, Haiman CA, Henderson BE, Schumacher F, Le Marchand L, Eilber U, Wang-Gohrke S, Hooning MJ, Hollestelle A, van den Ouweland AM, Koppert LB, Carpenter J, Clarke C, Scott R, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Brenner H, Arndt V, Stegmaier C, Karina Dieffenbach A, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Offit K, Vijai J, Robson M, Rau-Murthy R, Dwek M, Swann R, Annie Perkins K, Goldberg MS, Labrèche F, Dumont M, Eccles DM, Tapper WJ, Rafiq S, John EM, Whittemore AS, Slager S, Yannoukakos D, Toland AE, Yao S, Zheng W, Halverson SL, González-Neira A, Pita G, Rosario Alonso M, Álvarez N, Herrero D, Tessier DC, Vincent D, Bacot F, Luccarini C, Baynes C, Ahmed S, Maranian M, Healey CS, Simard J, Hall P, Easton DF, Garcia-Closas M.
    • J Natl Cancer Inst. 2015 Apr 8;107(5). pii: djv036. doi: 10.1093/jnci/djv036. Print 2015 May.

    Comments on NSGC Discussion Forum Cancer SIG

    Subject: BREVAGenplus- what is it?

    Editorial

    Breast cancer prevention in the era of precision medicine.

    Research News

    Genetic screening could improve breast cancer prevention, study finds.

    • The contributions of breast density and common genetic variation to breast cancer risk.
    • Vachon CM, Pankratz VS, Scott CG, Haeberle L, Ziv E, Jensen MR, Brandt KR, Whaley DH, Olson JE, Heusinger K, Hack CC, Jud SM, Beckmann MW, Schulz-Wendtland R, Tice JA, Norman AD, Cunningham JM, Purrington KS, Easton DF, Sellers TA, Kerlikowske K, Fasching PA, Couch FJ.
    • J Natl Cancer Inst. 2015 Mar 4;107(5). pii: dju397. doi: 10.1093/jnci/dju397. Print 2015 May.

    Press: Polygene Test Can Predict Risk for Breast Cancer. (Medscape Oncology)

    Press: Polygenic Risk Score Improves Breast Cancer Prediction. (Clinical OMICs)

    • Are Women Willing to Change Breast Cancer Screening Guidelines?
    • Cohn W, Novicoff W, Dean MM, Guterbock T, Rexrode D, Eggleston C, Harvey J, Knaus W.
    • Cancer Epidemiol Biomarkers Prev. 2015 Apr;24(4):765. ASPO 39th Annual Meeting Abstracts. doi: 10.1158/1055-9965.EPI-15-0116.
    • Conference abstract
    • Prospective Approach to Breast Cancer Risk Prediction in African American Women: The Black Women's Health Study Model.
    • Boggs DA, Rosenberg L, Adams-Campbell LL, Palmer JR.
    • J Clin Oncol. 2015 Mar 20;33(9):1038-44. doi: 10.1200/JCO.2014.57.2750. Epub 2015 Jan 26.
    • An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps.
    • Subramanian J, Karmegam A, Papageorgiou E, Papandrianos N, Vasukie A.
    • Comput Methods Programs Biomed. 2015 Mar;118(3):280-97. doi: 10.1016/j.cmpb.2015.01.001. Epub 2015 Jan 21.
    • Update on breast cancer risk prediction and prevention.
    • Sestak I, Cuzick J.
    • Curr Opin Obstet Gynecol. 2015 Feb;27(1):92-7. doi: 10.1097/GCO.0000000000000153.
    • Review
    • The use of the Gail model, body mass index and SNPs to predict breast cancer among women with abnormal (BI-RADS 4) mammograms.
    • McCarthy AM, Keller B, Kontos D, Boghossian L, McGuire E, Bristol M, Chen J, Domchek S, Armstrong K.
    • Breast Cancer Res. 2015 Jan 8;17:1. doi: 10.1186/s13058-014-0509-4.
    • A polygenic risk score for breast cancer in women receiving tamoxifen or raloxifene on NSABP P-1 and P-2.
    • Vachon CM, Schaid DJ, Ingle JN, Wickerham DL, Kubo M, Mushiroda T, Goetz MP, Carlson EE, Paik S, Wolmark N, Nakamura Y, Wang L, Weinshilboum R, Couch FJ.
    • Breast Cancer Res Treat. 2015 Jan;149(2):517-23. doi: 10.1007/s10549-014-3175-4. Epub 2015 Jan 10.
    • Variation in predictive ability of common genetic variants by established strata: the example of breast cancer and age.
    • Aschard H, Zaitlen N, Lindström S, Kraft P.
    • Epidemiology. 2015 Jan;26(1):51-8. doi: 10.1097/EDE.0000000000000195.
    • Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer.
    • Garcia-Closas M, Gunsoy NB, Chatterjee N.
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    Comment/Letter:

    Re: Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer.

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    Comment/Letter:

    Cost-effectiveness of a genetic test for breast cancer risk--letter.

    Comment/Letter:

    Cost-effectiveness of a genetic test for breast cancer risk--response.

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    Comment:

    Evaluation of prediction models for decision-making: beyond calibration and discrimination.

    Research News: Risk prediction. (Nature Reviews Cancer)

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    Comment:

    [Are questions better than the glucose tolerance test?].

    Comment/Letter:

    Misreported family histories and underestimation of risk.

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    Comments on NSGC Discussion Forum Cancer SIG

    Subject: Breast cancer risk models

    Subject: Tyrer-Cuzick model

    Subject: Percent of women "high-risk" for breast cancer

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    Free text: Prediction of Breast Cancer Risk by Genetic Risk Factors, Overall and by Hormone Receptor Status. (Medscape)

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    • Review
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