Wells J. Mammography and the politics of randomised controlled trials. BMJ. 1998;317(7167):1224–9.
Article
CAS
Google Scholar
Ebell MH, Thai TN, Royalty KJ. Cancer screening recommendations: an international comparison of high income countries. Public Health Rev. 2018;39:7.
Article
Google Scholar
Ernster VL. Mammography screening for women aged 40 through 49--a guidelines saga and a clarion call for informed decision making. Am J Public Health. 1997;87(7):1103–6.
Article
CAS
Google Scholar
Lee CI, Chen LE, Elmore JG. Risk-based Breast cancer screening: implications of breast density. Med Clin North Am. 2017;101(4):725–41.
Article
Google Scholar
Ray KM, Price ER, Joe BN. Breast density legislation: mandatory disclosure to patients, alternative screening, billing, reimbursement. AJR Am J Roentgenol. 2015;204(2):257–60.
Article
Google Scholar
Tyrer J, Duffy SW, Cuzick J. A breast cancer prediction model incorporating familial and personal risk factors. Stat Med. 2004;23(7):1111–30.
Article
Google Scholar
Gail MH. Twenty-five years of breast cancer risk models and their applications. J Natl Cancer Inst. 2015;107(5):djv042.
Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, Koskenvuo M, et al. Environmental and heritable factors in the causation of cancer--analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med. 2000;343(2):78–85.
Article
CAS
Google Scholar
Moller S, Mucci LA, Harris JR, Scheike T, Holst K, Halekoh U, et al. The Heritability of breast cancer among women in the Nordic Twin Study of Cancer. Cancer Epidemiol Biomarkers Prev. 2016;25(1):145–50.
Article
Google Scholar
Breast Cancer Association C, Dorling L, Carvalho S, Allen J, Gonzalez-Neira A, Luccarini C, et al. Breast cancer risk genes - association analysis in more than 113,000 women. N Engl J Med. 2021;384(5):428–39.
Article
Google Scholar
Mavaddat N, Michailidou K, Dennis J, Lush M, Fachal L, Lee A, et al. Polygenic risk scores for prediction of breast cancer and breast cancer subtypes. Am J Hum Genet. 2019;104(1):21–34.
Article
CAS
Google Scholar
Ho WK, Tan MM, Mavaddat N, Tai MC, Mariapun S, Li J, et al. European polygenic risk score for prediction of breast cancer shows similar performance in Asian women. Nat Commun. 2020;11(1):3833.
Article
Google Scholar
Mavaddat N, Pharoah PD, Michailidou K, Tyrer J, Brook MN, Bolla MK, Wang Q, et al. Prediction of breast cancer risk based on profiling with common genetic variants. J Natl Cancer Inst. 2015;107(5):djv036. https://doi.org/10.1093/jnci/djv036.
Ho PJ, Yeoh YS, Miao H, Lim SH, Tan EY, Tan BKT, et al. Cohort profile: The Singapore Breast Cancer Cohort (SGBCC), a multi-center breast cancer cohort for evaluation of phenotypic risk factors and genetic markers. PLoS One. 2021;16(4):e0250102.
Article
CAS
Google Scholar
Tan MM, Ho WK, Yoon SY, Mariapun S, Hasan SN, Lee DS, et al. A case-control study of breast cancer risk factors in 7,663 women in Malaysia. PLoS One. 2018;13(9):e0203469.
Article
Google Scholar
Tan KHX, Tan LWL, Sim X, Tai ES, Lee JJ, Chia KS, et al. Cohort profile: The Singapore Multi-Ethnic Cohort (MEC) study. Int J Epidemiol. 2018;47(3):699–699j.
Article
Google Scholar
Dorajoo R, Chang X, Gurung RL, Li Z, Wang L, Wang R, et al. Loci for human leukocyte telomere length in the Singaporean Chinese population and trans-ethnic genetic studies. Nat Commun. 2019;10(1):2491.
Article
Google Scholar
Michailidou K, Lindstrom S, Dennis J, Beesley J, Hui S, Kar S, et al. Association analysis identifies 65 new breast cancer risk loci. Nature. 2017;551(7678):92–4.
Article
Google Scholar
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81(3):559–75.
Article
CAS
Google Scholar
National Registry of Diseases Office N: Singapore Cancer Registry Annual Registry Report 2015. 2017.
Google Scholar
Wen W, Shu XO, Guo X, Cai Q, Long J, Bolla MK, et al. Prediction of breast cancer risk based on common genetic variants in women of East Asian ancestry. Breast Cancer Res. 2016;18(1):124.
Article
Google Scholar
Gail MH, Brinton LA, Byar DP, Corle DK, Green SB, Schairer C, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst. 1989;81(24):1879–86.
Article
CAS
Google Scholar
Age-Specific Death Rates, Annual. https://www.tablebuilder.singstat.gov.sg/publicfacing/viewMultiTable.action. Accessed 8 Mar 2022.
Shieh Y, Eklund M, Madlensky L, Sawyer SD, Thompson CK, Stover Fiscalini A, et al. Breast cancer screening in the precision medicine era: risk-based screening in a population-based trial. J Natl Cancer Inst. 2017;109(5). https://doi.org/10.1093/jnci/djw290.
Cohen J. A coefficient of agreement for nominal scales. Educ Psychol Meas. 1960;20(1):37–46.
Article
Google Scholar
Colditz GA, Willett WC, Hunter DJ, Stampfer MJ, Manson JE, Hennekens CH, et al. Family history, age, and risk of breast cancer. Prospective data from the Nurses’ Health Study. JAMA. 1993;270(3):338–43.
Article
CAS
Google Scholar
Rockhill B, Spiegelman D, Byrne C, Hunter DJ, Colditz GA. Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention. J Natl Cancer Inst. 2001;93(5):358–66.
Article
CAS
Google Scholar
Chay WY, Ong WS, Tan PH, Jie Leo NQ, Ho GH, Wong CS, et al. Validation of the Gail model for predicting individual breast cancer risk in a prospective nationwide study of 28,104 Singapore women. Breast Cancer Res. 2012;14(1):R19.
Article
Google Scholar
Wentzensen N, Berg CD. Population testing for high penetrance genes: are we there yet? J Natl Cancer Inst. 2018;110(7):687–9.
Article
Google Scholar
Narod SA. Personalised medicine and population health: breast and ovarian cancer. Hum Genet. 2018;137(10):769–78.
Article
CAS
Google Scholar
Chowdhury S, Dent T, Pashayan N, Hall A, Lyratzopoulos G, Hallowell N, et al. Incorporating genomics into breast and prostate cancer screening: assessing the implications. Genet Med. 2013;15(6):423–32.
Article
CAS
Google Scholar
Widén E, Junna N, Ruotsalainen S, Surakka I, Mars N, Ripatti P, et al. Communicating polygenic and non-genetic risk for atherosclerotic cardiovascular disease - An observational follow-up study. medRxiv. 2020.09.18.20197137. https://doi.org/10.1101/2020.09.18.20197137.
Li J, Ugalde-Morales E, Wen WX, Decker B, Eriksson M, Torstensson A, et al. Differential burden of rare and common variants on tumor characteristics, survival, and mode of detection in breast cancer. Cancer Res. 2018;78(21):6329–38.
Article
CAS
Google Scholar
Kamal RM, Abdel Razek NM, Hassan MA, Shaalan MA. Missed breast carcinoma; why and how to avoid? J Egypt Natl Canc Inst. 2007;19(3):178–94.
PubMed
Google Scholar
Bulliard JL, Sasieni P, Klabunde C, De Landtsheer JP, Yankaskas BC, Fracheboud J. Methodological issues in international comparison of interval breast cancers. Int J Cancer. 2006;119(5):1158–63.
Article
CAS
Google Scholar
Pal Choudhury P, Wilcox AN, Brook MN, Zhang Y, Ahearn T, Orr N, et al. Comparative Validation of breast cancer risk prediction models and projections for future risk stratification. J Natl Cancer Inst. 2020;112(3):278–85.
Article
Google Scholar
Yang Y, Tao R, Shu X, Cai Q, Wen W, Gu K, Gao YT, Zheng Y, Kweon SS, Shin MH, Choi JY, Lee ES, Kong SY, Park B, Park MH, Jia G, Li B, Kang D, Shu XO, Long J, Zheng W. Incorporating polygenic risk scores and nongenetic risk factors for breast cancer risk prediction among Asian women. JAMA Netw Open. 2022;5(3):e2149030.