Grant Details
| Grant Number: |
1R01CA159868-01A1 Interpret this number |
| Primary Investigator: |
Terry, Mary Beth |
| Organization: |
Columbia University Health Sciences |
| Project Title: |
Genes, Environment and Breast Cancer Risk: the 15 Year Follow-Up of the Prof-SC |
| Fiscal Year: |
2011 |
Abstract
DESCRIPTION (provided by applicant): The discovery of BRCA1 and BRCA2 has resulted in more appropriate targeting of preventive and screening strategies for breast cancer. The on-going discovery of genes with moderate-risk mutations, and of multiple loci with common low-risk associated variants, means that more women at substantial genetic risk will be identified. Despite these advances in genomic medicine, there remain major unanswered questions for high risk women, the majority of whom do not carry mutations in any currently identified susceptibility genes: 1) What is my absolute risk of breast cancer?; 2) Are there modifiable factors that might lower my risk?; and, for women with prior breast cancer, 3) Can I do anything to lower my risk of a new cancer? Answers to these questions are fundamental to improving clinical care, and are long overdue. We lack answers to these important questions because many studies fail to capture the complexity of family history and lack long-term follow-up data to measure risk. Breast cancer risk prediction models commonly used at non-specialist clinics often capture risk based on only first-degree family history. No breast cancer prediction models have been based on, nor validated with, large prospective cohorts of high risk women. Studies that have examined potential modifiers of risk for BRCA1 and BRCA2 mutation carriers have used a retrospective design and included prevalent cancers over-sampled for disease survivors. To address these gaps, we propose to conduct active follow-up of 30,563 women of whom 2,597 are BRCA1 and BRCA2 mutation carriers. These women come from 9,739 families recruited and followed since 1995 in the U.S., Canada, and Australia. We collected the same extensive baseline epidemiologic, multigenerational pedigree, and genetic data for these women. Our prospective family study is enriched with women at increased susceptibility for breast cancer who vary widely in underlying Familial Risk Profile (FRP), which can be estimated using multigenerational pedigree and genetic data. We will estimate age-specific absolute, and relative, risks of breast cancer using two separate cohorts (18,530 women unaffected and 12,033 women affected at baseline), as a function of their estimated FRP, modifiable risk factors, and by BRCA1 and BRCA2 mutation status. By the end of follow-up, we estimate 1,427 of the women unaffected and 1,359 women affected at baseline will be diagnosed with a new breast cancer. 15-17% of these new cases will be in BRCA1 or BRCA2 mutation carriers. We will use our findings to enhance prediction models by incorporating information from multigenerational family history, measured gene variants, and risk factors. Clinical practice has been conservative in advising high risk women, particularly mutation carriers, about potential lifestyle modifications to reduce risk, basing this advice on studies of average-risk women. Instead, we propose to build more accurate prediction models for women across the spectrum of risk that can be used to tailor more effective prevention strategies.
PUBLIC HEALTH RELEVANCE: Despite advances in genomic medicine, there remain major unanswered questions about absolute and relative risks for high risk women, the majority of whom do not carry mutations in any currently identified susceptibility genes. We propose to conduct active follow-up of 30,563 women of whom 2,597 are BRCA1 and BRCA2 mutation carriers. These women come from 9,739 families recruited and followed since 1995 in the U.S., Canada, and Australia of whom we collected the same extensive baseline epidemiologic, multigenerational pedigree and genetic data for these women. We propose to build more accurate prediction models for women across the spectrum of risk that can be used to tailor more effective prevention and treatment strategies.
Publications
Breastfeeding after breast cancer in young BRCA carriers.
Authors: Blondeaux E.
, Delucchi V.
, Mariamidze E.
, Bernstein-Molho R.
, Frank S.
, Ferrari A.
, Linn S.
, Kim H.J.
, Agostinetto E.
, Paluch-Shimon S.
, et al.
.
Source: Journal Of The National Cancer Institute, 2025-11-01 00:00:00.0; 117(11), p. 2229-2239.
PMID: 40623009
Related Citations
Clinical Behavior of Breast Cancer in Young BRCA Carriers and Prediagnostic Awareness of Germline BRCA Status.
Authors: Lambertini M.
, Blondeaux E.
, Tomasello L.M.
, Agostinetto E.
, Hamy A.S.
, Kim H.J.
, Franzoi M.A.
, Bernstein-Molho R.
, Hilbers F.
, Pogoda K.
, et al.
.
Source: Journal Of Clinical Oncology : Official Journal Of The American Society Of Clinical Oncology, 2025-05-10 00:00:00.0; 43(14), p. 1706-1719.
EPub date: 2025-02-24 00:00:00.0.
PMID: 39993249
Related Citations
Physical Activity during Adolescence and Early Adulthood and Breast Cancer Risk before Age 40 Years.
Authors: Kehm R.D.
, Genkinger J.M.
, Knight J.A.
, MacInnis R.J.
, Liao Y.
, Li S.
, Weideman P.C.
, Chung W.K.
, Kurian A.W.
, Colonna S.V.
, et al.
.
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2025-01-09 00:00:00.0; 34(1), p. 108-116.
PMID: 39404779
Related Citations
Pregnancy-Related Factors and Breast Cancer Risk for Women Across a Range of Familial Risk.
Authors: McDonald J.A.
, Liao Y.
, Knight J.A.
, John E.M.
, Kurian A.W.
, Daly M.
, Buys S.S.
, Huang Y.
, Frost C.J.
, Andrulis I.L.
, et al.
.
Source: Jama Network Open, 2024-08-01 00:00:00.0; 7(8), p. e2427441.
EPub date: 2024-08-01 00:00:00.0.
PMID: 39186276
Related Citations
Pregnancy After Breast Cancer in Young BRCA Carriers: An International Hospital-Based Cohort Study.
Authors: Lambertini M.
, Blondeaux E.
, Agostinetto E.
, Hamy A.S.
, Kim H.J.
, Di Meglio A.
, Bernstein Molho R.
, Hilbers F.
, Pogoda K.
, Carrasco E.
, et al.
.
Source: Jama, 2024-01-02 00:00:00.0; 331(1), p. 49-59.
PMID: 38059899
Related Citations
RE: Heterozygous BRCA1 and BRCA2 and mismatch repair gene pathogenic variants in children and adolescents with cancer.
Authors: Li S.
, Nguyen-Dumont T.
, Southey M.C.
, Hopper J.L.
.
Source: Journal Of The National Cancer Institute, 2023-06-08 00:00:00.0; 115(6), p. 757-759.
PMID: 37004193
Related Citations
High-throughput measurement of double strand break global repair phenotype in peripheral blood mononuclear cells after long-term cryopreservation.
Authors: Bacon B.
, Repin M.
, Shuryak I.
, Wu H.C.
, Santella R.M.
, Terry M.B.
, Brenner D.J.
, Turner H.C.
.
Source: Cytometry. Part A : The Journal Of The International Society For Analytical Cytology, 2023-02-23 00:00:00.0; , .
EPub date: 2023-02-23 00:00:00.0.
PMID: 36823754
Related Citations
Segregation analysis of 17,425 population-based breast cancer families: Evidence for genetic susceptibility and risk prediction.
Authors: Li S.
, MacInnis R.J.
, Lee A.
, Nguyen-Dumont T.
, Dorling L.
, Carvalho S.
, Dite G.S.
, Shah M.
, Luccarini C.
, Wang Q.
, et al.
.
Source: American Journal Of Human Genetics, 2022-10-06 00:00:00.0; 109(10), p. 1777-1788.
PMID: 36206742
Related Citations
Population-based estimates of age-specific cumulative risk of breast cancer for pathogenic variants in ATM.
Authors: Renault A.L.
, Dowty J.G.
, Steen J.A.
, Li S.
, Winship I.M.
, Giles G.G.
, Hopper J.L.
, Southey M.C.
, Nguyen-Dumont T.
.
Source: Breast Cancer Research : Bcr, 2022-04-01 00:00:00.0; 24(1), p. 24.
EPub date: 2022-04-01 00:00:00.0.
PMID: 35365198
Related Citations
Familial Aspects of Mammographic Density Measures Associated with Breast Cancer Risk.
Authors: Nguyen T.L.
, Li S.
, Dowty J.G.
, Dite G.S.
, Ye Z.
, Nguyen-Dumont T.
, Trinh H.N.
, Evans C.F.
, Tan M.
, Sung J.
, et al.
.
Source: Cancers, 2022-03-14 00:00:00.0; 14(6), .
EPub date: 2022-03-14 00:00:00.0.
PMID: 35326633
Related Citations
Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort (ProF-SC).
Authors: Ye Z.
, Li S.
, Dite G.S.
, Nguyen T.L.
, MacInnis R.J.
, Andrulis I.L.
, Buys S.S.
, Daly M.B.
, John E.M.
, Kurian A.W.
, et al.
.
Source: Cancer Prevention Research (philadelphia, Pa.), 2022-03-01 00:00:00.0; 15(3), p. 185-191.
PMID: 34965921
Related Citations
DNA repair phenotype and cancer risk: a systematic review and meta-analysis of 55 case-control studies.
Authors: Wu H.C.
, Kehm R.
, Santella R.M.
, Brenner D.J.
, Terry M.B.
.
Source: Scientific Reports, 2022-03-01 00:00:00.0; 12(1), p. 3405.
EPub date: 2022-03-01 00:00:00.0.
PMID: 35233009
Related Citations
Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing.
Authors: Southey M.C.
, Dowty J.G.
, Riaz M.
, Steen J.A.
, Renault A.L.
, Tucker K.
, Kirk J.
, James P.
, Winship I.
, Pachter N.
, et al.
.
Source: Npj Breast Cancer, 2021-12-09 00:00:00.0; 7(1), p. 153.
EPub date: 2021-12-09 00:00:00.0.
PMID: 34887416
Related Citations
Recreational Physical Activity and Outcomes After Breast Cancer in Women at High Familial Risk.
Authors: Kehm R.D.
, MacInnis R.J.
, John E.M.
, Liao Y.
, Kurian A.W.
, Genkinger J.M.
, Knight J.A.
, Colonna S.V.
, Chung W.K.
, Milne R.
, et al.
.
Source: Jnci Cancer Spectrum, 2021 Dec; 5(6), p. pkab090.
EPub date: 2021-12-08 00:00:00.0.
PMID: 34950851
Related Citations
Comparing 5-Year and Lifetime Risks of Breast Cancer using the Prospective Family Study Cohort.
Authors: MacInnis R.J.
, Knight J.A.
, Chung W.K.
, Milne R.L.
, Whittemore A.S.
, Buchsbaum R.
, Liao Y.
, Zeinomar N.
, Dite G.S.
, Southey M.C.
, et al.
.
Source: Journal Of The National Cancer Institute, 2021-06-01 00:00:00.0; 113(6), p. 785-791.
PMID: 33301022
Related Citations
Survival from breast cancer in women with a BRCA2 mutation by treatment.
Authors: Evans D.G.
, Phillips K.A.
, Milne R.L.
, Fruscio R.
, Cybulski C.
, Gronwald J.
, Lubinski J.
, Huzarski T.
, Hyder Z.
, Forde C.
, et al.
.
Source: British Journal Of Cancer, 2021 04; 124(9), p. 1524-1532.
EPub date: 2021-02-18 00:00:00.0.
PMID: 33597716
Related Citations
Population-Based Estimates of the Age-Specific Cumulative Risk of Breast Cancer for Pathogenic Variants in CHEK2: Findings from the Australian Breast Cancer Family Registry.
Authors: Nguyen-Dumont T.
, Dowty J.G.
, Steen J.A.
, Renault A.L.
, Hammet F.
, Mahmoodi M.
, Theys D.
, Rewse A.
, Tsimiklis H.
, Winship I.M.
, et al.
.
Source: Cancers, 2021-03-18 00:00:00.0; 13(6), .
EPub date: 2021-03-18 00:00:00.0.
PMID: 33803639
Related Citations
VTRNA2-1: Genetic Variation, Heritable Methylation and Disease Association.
Authors: Dugué P.A.
, Yu C.
, McKay T.
, Wong E.M.
, Joo J.E.
, Tsimiklis H.
, Hammet F.
, Mahmoodi M.
, Theys D.
, kConFab null
, et al.
.
Source: International Journal Of Molecular Sciences, 2021-03-03 00:00:00.0; 22(5), .
EPub date: 2021-03-03 00:00:00.0.
PMID: 33802562
Related Citations
Motivators of Inappropriate Ovarian Cancer Screening: A Survey of Women and Their Clinicians.
Authors: Macdonald C.
, Mazza D.
, Hickey M.
, Hunter M.
, Keogh L.A.
, Investigators K.
, Jones S.C.
, Saunders C.
, Nesci S.
, Milne R.L.
, et al.
.
Source: Jnci Cancer Spectrum, 2021 02; 5(1), .
EPub date: 2020-12-08 00:00:00.0.
PMID: 33554034
Related Citations
Circulating growth factor concentrations and breast cancer risk: a nested case-control study of IGF-1, IGFBP-3, and breast cancer in a family-based cohort.
Authors: Monson K.R.
, Goldberg M.
, Wu H.C.
, Santella R.M.
, Chung W.K.
, Terry M.B.
.
Source: Breast Cancer Research : Bcr, 2020-10-22 00:00:00.0; 22(1), p. 109.
EPub date: 2020-10-22 00:00:00.0.
PMID: 33092613
Related Citations
The steroid metabolome and breast cancer risk in women with a family history of breast cancer: the novel role of adrenal androgens and glucocorticoids.
Authors: Houghton L.C.
, Howland R.E.
, Wei Y.
, Ma X.
, Kehm R.D.
, Chung W.K.
, Genkinger J.M.
, Santella R.M.
, Hartmann M.F.
, Wudy S.A.
, et al.
.
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2020-09-30 00:00:00.0; , .
EPub date: 2020-09-30 00:00:00.0.
PMID: 32998947
Related Citations
Considerations When Using Breast Cancer Risk Models for Women with Negative BRCA1/BRCA2 Mutation Results.
Authors: MacInnis R.J.
, Liao Y.
, Knight J.A.
, Milne R.L.
, Whittemore A.S.
, Chung W.K.
, Leoce N.
, Buchsbaum R.
, Zeinomar N.
, Dite G.S.
, et al.
.
Source: Journal Of The National Cancer Institute, 2020-04-01 00:00:00.0; 112(4), p. 418-422.
PMID: 31584660
Related Citations
Mismatch repair gene pathogenic germline variants in a population-based cohort of breast cancer.
Authors: Nguyen-Dumont T.
, Steen J.A.
, Winship I.
, Park D.J.
, Pope B.J.
, Hammet F.
, Mahmoodi M.
, Tsimiklis H.
, Theys D.
, Clendenning M.
, et al.
.
Source: Familial Cancer, 2020-02-14 00:00:00.0; , .
EPub date: 2020-02-14 00:00:00.0.
PMID: 32060697
Related Citations
Alcohol Consumption, Cigarette Smoking, and Risk of Breast Cancer for BRCA1 and BRCA2 Mutation Carriers: Results from The BRCA1 and BRCA2 Cohort Consortium.
Authors: Li H.
, Terry M.B.
, Antoniou A.C.
, Phillips K.A.
, Kast K.
, Mooij T.M.
, Engel C.
, Noguès C.
, Stoppa-Lyonnet D.
, Lasset C.
, et al.
.
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2020 02; 29(2), p. 368-378.
EPub date: 2019-12-02 00:00:00.0.
PMID: 31792088
Related Citations
Risk-reducing salpingo-oophorectomy, natural menopause, and breast cancer risk: an international prospective cohort of BRCA1 and BRCA2 mutation carriers.
Authors: Mavaddat N.
, Antoniou A.C.
, Mooij T.M.
, Hooning M.J.
, Heemskerk-Gerritsen B.A.
, GENEPSO
, Noguès C.
, Gauthier-Villars M.
, Caron O.
, Gesta P.
, et al.
.
Source: Breast Cancer Research : Bcr, 2020-01-16 00:00:00.0; 22(1), p. 8.
EPub date: 2020-01-16 00:00:00.0.
PMID: 31948486
Related Citations
Alcohol consumption, cigarette smoking, and familial breast cancer risk: findings from the Prospective Family Study Cohort (ProF-SC).
Authors: Zeinomar N.
, Knight J.A.
, Genkinger J.M.
, Phillips K.A.
, Daly M.B.
, Milne R.L.
, Dite G.S.
, Kehm R.D.
, Liao Y.
, Southey M.C.
, et al.
.
Source: Breast Cancer Research : Bcr, 2019-11-28 00:00:00.0; 21(1), p. 128.
EPub date: 2019-11-28 00:00:00.0.
PMID: 31779655
Related Citations
Recreational physical activity is associated with reduced breast cancer risk in adult women at high risk for breast cancer: a cohort study of women selected for familial and genetic risk.
Authors: Kehm R.D.
, Genkinger J.M.
, MacInnis R.J.
, John E.M.
, Phillips K.A.
, Dite G.S.
, Milne R.L.
, Zeinomar N.
, Liao Y.
, Knight J.A.
, et al.
.
Source: Cancer Research, 2019-10-02 00:00:00.0; , .
EPub date: 2019-10-02 00:00:00.0.
PMID: 31578201
Related Citations
Benign breast disease increases breast cancer risk independent of underlying familial risk profile: Findings from a Prospective Family Study Cohort.
Authors: Zeinomar N.
, Phillips K.A.
, Daly M.B.
, Milne R.L.
, Dite G.S.
, MacInnis R.J.
, Liao Y.
, Kehm R.D.
, Knight J.A.
, Southey M.C.
, et al.
.
Source: International Journal Of Cancer, 2019-07-15 00:00:00.0; 145(2), p. 370-379.
EPub date: 2019-02-20 00:00:00.0.
PMID: 30725480
Related Citations
Regular use of aspirin and other non-steroidal anti-inflammatory drugs and breast cancer risk for women at familial or genetic risk: a cohort study.
Authors: Kehm R.D.
, Hopper J.L.
, John E.M.
, Phillips K.A.
, MacInnis R.J.
, Dite G.S.
, Milne R.L.
, Liao Y.
, Zeinomar N.
, Knight J.A.
, et al.
.
Source: Breast Cancer Research : Bcr, 2019-04-18 00:00:00.0; 21(1), p. 52.
EPub date: 2019-04-18 00:00:00.0.
PMID: 30999962
Related Citations
Age-specific breast cancer risk by body mass index and familial risk: prospective family study cohort (ProF-SC).
Authors: Hopper J.L.
, Dite G.S.
, MacInnis R.J.
, Liao Y.
, Zeinomar N.
, Knight J.A.
, Southey M.C.
, Milne R.L.
, Chung W.K.
, Giles G.G.
, et al.
.
Source: Breast Cancer Research : Bcr, 2018-11-03 00:00:00.0; 20(1), p. 132.
EPub date: 2018-11-03 00:00:00.0.
PMID: 30390716
Related Citations
Association analysis identifies 65 new breast cancer risk loci.
Authors: Michailidou K.
, Lindström S.
, Dennis J.
, Beesley J.
, Hui S.
, Kar S.
, Lemaçon A.
, Soucy P.
, Glubb D.
, Rostamianfar A.
, et al.
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Source: Nature, 2017-11-02 00:00:00.0; 551(7678), p. 92-94.
EPub date: 2017-10-23 00:00:00.0.
PMID: 29059683
Related Citations
Risk of uterine cancer for BRCA1 and BRCA2 mutation carriers.
Authors: Lee Y.C.
, Milne R.L.
, Lheureux S.
, Friedlander M.
, McLachlan S.A.
, Martin K.L.
, Bernardini M.Q.
, Smith C.
, Picken S.
, Nesci S.
, et al.
.
Source: European Journal Of Cancer (oxford, England : 1990), 2017 10; 84, p. 114-120.
EPub date: 2017-08-10 00:00:00.0.
PMID: 28802188
Related Citations
Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers.
Authors: Kuchenbaecker K.B.
, Hopper J.L.
, Barnes D.R.
, Phillips K.A.
, Mooij T.M.
, Roos-Blom M.J.
, Jervis S.
, van Leeuwen F.E.
, Milne R.L.
, Andrieu N.
, et al.
.
Source: Jama, 2017-06-20 00:00:00.0; 317(23), p. 2402-2416.
PMID: 28632866
Related Citations
Dependence of cancer risk from environmental exposures on underlying genetic susceptibility: an illustration with polycyclic aromatic hydrocarbons and breast cancer.
Authors: Shen J.
, Liao Y.
, Hopper J.L.
, Goldberg M.
, Santella R.M.
, Terry M.B.
.
Source: British Journal Of Cancer, 2017-04-25 00:00:00.0; 116(9), p. 1229-1233.
EPub date: 2017-03-28 00:00:00.0.
PMID: 28350789
Related Citations
Breast cancer risk prediction using a polygenic risk score in the familial setting: a prospective study from the Breast Cancer Family Registry and kConFab.
Authors: Li H.
, Feng B.
, Miron A.
, Chen X.
, Beesley J.
, Bimeh E.
, Barrowdale D.
, John E.M.
, Daly M.B.
, Andrulis I.L.
, et al.
.
Source: Genetics In Medicine : Official Journal Of The American College Of Medical Genetics, 2017 Jan; 19(1), p. 30-35.
PMID: 27171545
Related Citations
Dna Repair Gene Expression Levels As Indicators Of Breast Cancer In The Breast Cancer Family Registry
Authors: Kappil M.A.
, Liao Y.
, Terry M.B.
, Santella R.M.
.
Source: Anticancer Research, 2016 Aug; 36(8), p. 4039-44.
PMID: 27466510
Related Citations
Cohort Profile: The Breast Cancer Prospective Family Study Cohort (ProF-SC).
Authors: Terry M.B.
, Phillips K.A.
, Daly M.B.
, John E.M.
, Andrulis I.L.
, Buys S.S.
, Goldgar D.E.
, Knight J.A.
, Whittemore A.S.
, Chung W.K.
, et al.
.
Source: International Journal Of Epidemiology, 2016 06; 45(3), p. 683-92.
EPub date: 2015-07-13 00:00:00.0.
PMID: 26174520
Related Citations
Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry.
Authors: Dite G.S.
, MacInnis R.J.
, Bickerstaffe A.
, Dowty J.G.
, Allman R.
, Apicella C.
, Milne R.L.
, Tsimiklis H.
, Phillips K.A.
, Giles G.G.
, et al.
.
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2016 Feb; 25(2), p. 359-65.
PMID: 26677205
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Odds per adjusted standard deviation: comparing strengths of associations for risk factors measured on different scales and across diseases and populations.
Authors: Hopper J.L.
.
Source: American Journal Of Epidemiology, 2015-11-15 00:00:00.0; 182(10), p. 863-7.
EPub date: 2015-11-15 00:00:00.0.
PMID: 26520360
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Practical problems with clinical guidelines for breast cancer prevention based on remaining lifetime risk.
Authors: Quante A.S.
, Whittemore A.S.
, Shriver T.
, Hopper J.L.
, Strauch K.
, Terry M.B.
.
Source: Journal Of The National Cancer Institute, 2015 Jul; 107(7), .
PMID: 25956172
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microRNA Expression in Prospectively Collected Blood as a Potential Biomarker of Breast Cancer Risk in the BCFR.
Authors: Chang C.W.
, Wu H.C.
, Terry M.B.
, Santella R.M.
.
Source: Anticancer Research, 2015 Jul; 35(7), p. 3969-77.
PMID: 26124344
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Differences in DNA methylation by extent of breast cancer family history in unaffected women.
Authors: Delgado-Cruzata L.
, Wu H.C.
, Liao Y.
, Santella R.M.
, Terry M.B.
.
Source: Epigenetics, 2014 Feb; 9(2), p. 243-8.
PMID: 24172832
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Prospective validation of the breast cancer risk prediction model BOADICEA and a batch-mode version BOADICEACentre.
Authors: MacInnis R.J.
, Bickerstaffe A.
, Apicella C.
, Dite G.S.
, Dowty J.G.
, Aujard K.
, Phillips K.A.
, Weideman P.
, Lee A.
, Terry M.B.
, et al.
.
Source: British Journal Of Cancer, 2013-09-03 00:00:00.0; 109(5), p. 1296-301.
EPub date: 2013-09-03 00:00:00.0.
PMID: 23942072
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Breast cancer risk assessment across the risk continuum: genetic and nongenetic risk factors contributing to differential model performance.
Authors: Quante A.S.
, Whittemore A.S.
, Shriver T.
, Strauch K.
, Terry M.B.
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Source: Breast Cancer Research : Bcr, 2012-11-05 00:00:00.0; 14(6), p. R144.
EPub date: 2012-11-05 00:00:00.0.
PMID: 23127309
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