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Genetic influences on mammographic density in Korean twin and family: the Healthy Twin study

  • Epidemiology
  • Published:
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Abstract

Higher mammographic density is a strong risk factor for breast cancer. This study was conducted to determine the role of genetic factors on mammographic density measurements in Korean women. Study subjects were 730 women (122 monozygotic (MZ) twin pairs, 28 dizygotic (DZ) twin pairs, and 430 first degree relatives) from the Healthy Twin study. Mammographic density was measured using a computer-assisted method. Pairwise correlations of residual variance of each component of mammographic density were calculated within each pair of twins and family members. Quantitative genetic analysis was completed using SOLAR. Age and measured covariates accounted for 50% of the variation in dense area, 70% of non-dense area, and 67% of percent dense area. Fully adjusted heritability coefficients for dense area, non-dense area, and percent dense area were 0.76 (SE = 0.04), 0.69 (SE = 0.04) and 0.68 (SE = 0.04), respectively. Pairwise correlation coefficients of the adjusted residual variance of the mammographic density measures within MZ pairs and within DZ and sibling pairs combined were, respectively, 0.70 and 0.28 for dense area, 0.52 and 0.31 for non-dense area, and 0.58 and 0.24 for percent dense area. Covariance between dense and non-dense area had a significant genetic basis (correlation coefficient = −0.25, SE = 0.06). The same high heritability of mammographic density in Korean women as found in Western women supports a significant role of genetic determinants in breast cancer development. Genes that are responsible for familial correlation in mammographic density and have opposite effects on dense and non-dense mammographic areas need to be elucidated.

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References

  1. National Cancer Center Korea (2008) Central cancer registry report 2003–2005. Goyang, Gyeongi-Do, Korea

  2. Yoo KY, Kim Y, Park SK, Kang D (2006) Lifestyle, genetic susceptibility and future trends of breast cancer in Korea. Asian Pac J Cancer Prev 7:679–682

    PubMed  Google Scholar 

  3. Byrne C, Schairer C, Brinton LA, Wolfe J, Parekh N, Salane M, Carter C, Hoover R (2001) Effects of mammographic density and benign breast disease on breast cancer risk (United States). Cancer Causes Control 12:103–110

    Article  CAS  PubMed  Google Scholar 

  4. Boyd NF, Lockwood GA, Byng JW, Tritchler DL, Yaffe MJ (1998) Mammographic densities and breast cancer risk. Cancer Epidemiol Biomarkers Prev 7:1133–1144

    CAS  PubMed  Google Scholar 

  5. Boyd NF, Byng JW, Jong RA, Fishell EK, Little LE, Miller AB, Lockwood GA, Tritchler DL, Yaffe MJ (1995) Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J Natl Cancer Inst 87:670–675

    Article  CAS  PubMed  Google Scholar 

  6. Boyd NF, Rommens JM, Vogt K, Lee V, Hopper JL, Yaffe MJ, Paterson AD (2005) Mammographic breast density as an intermediate phenotype for breast cancer. Lancet Oncol 6:798–808

    Article  PubMed  Google Scholar 

  7. Gravelle IH, Bulbrook RD, Wang DY, Allen D, Hayward JL, Bulstrode JC, Takatani O (1991) A comparison of mammographic parenchymal patterns in premenopausal Japanese and British women. Breast Cancer Res Treat 18(Suppl 1):S93–S95

    Article  PubMed  Google Scholar 

  8. Turnbull AE, Kapera L, Cohen ME (1993) Mammographic parenchymal patterns in Asian and Caucasian women attending for screening. Clin Radiol 48:38–40

    Article  CAS  PubMed  Google Scholar 

  9. McCormack VA, Perry N, Vinnicombe SJ, Silva IS (2008) Ethnic variations in mammographic density: a British multiethnic longitudinal study. Am J Epidemiol 168:412–421

    Article  PubMed  Google Scholar 

  10. Habel LA, Capra AM, Oestreicher N, Greendale GA, Cauley JA, Bromberger J, Crandall CJ, Gold EB, Modugno F, Salane M, Quesenberry C, Sternfeld B (2007) Mammographic density in a multiethnic cohort. Menopause 14:891–899

    Article  PubMed  Google Scholar 

  11. Maskarinec G, Pagano I, Lurie G, Kolonel LN (2006) A longitudinal investigation of mammographic density: the multiethnic cohort. Cancer Epidemiol Biomarkers Prev 15:732–739

    Article  PubMed  Google Scholar 

  12. Boyd NF, Dite GS, Stone J, Gunasekara A, English DR, McCredie MR, Giles GG, Tritchler D, Chiarelli A, Yaffe MJ, Hopper JL (2002) Heritability of mammographic density, a risk factor for breast cancer. N Engl J Med 347:886–894

    Article  PubMed  Google Scholar 

  13. Stone J, Dite GS, Gunasekara A, English DR, McCredie MR, Giles GG, Cawson JN, Hegele RA, Chiarelli AM, Yaffe MJ, Boyd NF, Hopper JL (2006) The heritability of mammographically dense and nondense breast tissue. Cancer Epidemiol Biomarkers Prev 15:612–617

    Article  PubMed  Google Scholar 

  14. Pankow JS, Vachon CM, Kuni CC, King RA, Arnett DK, Grabrick DM, Rich SS, Anderson VE, Sellers TA (1997) Genetic analysis of mammographic breast density in adult women: evidence of a gene effect. J Natl Cancer Inst 89:549–556

    Article  CAS  PubMed  Google Scholar 

  15. Kataoka M, Antoniou A, Warren R, Leyland J, Brown J, Audley T, Easton D (2009) Genetic models for the familial aggregation of mammographic breast density. Cancer Epidemiol Biomarkers Prev 18:1277–1284

    Article  CAS  PubMed  Google Scholar 

  16. Sung J, Cho SI, Lee K, Ha M, Choi EY, Choi JS, Kim H, Kim J, Hong KS, Kim Y, Yoo KY, Park C, Song YM (2006) Healthy Twin: a twin-family study of Korea—protocols and current status. Twin Res Hum Genet 9:844–848

    PubMed  Google Scholar 

  17. Byng JW, Yaffe MJ, Jong RA, Shumak RS, Lockwood GA, Tritchler DL, Boyd NF (1998) Analysis of mammographic density and breast cancer risk from digitized mammograms. Radiographics 18:1587–1598

    CAS  PubMed  Google Scholar 

  18. Boyd N, Martin L, Stone J, Little L, Minkin S, Yaffe M (2002) A longitudinal study of the effects of menopause on mammographic features. Cancer Epidemiol Biomarkers Prev 11:1048–1053

    PubMed  Google Scholar 

  19. Irwin ML, Aiello EJ, McTiernan A, Bernstein L, Gilliland FD, Baumgartner RN, Baumgartner KB, Ballard-Barbash R (2007) Physical activity, body mass index, and mammographic density in postmenopausal breast cancer survivors. J Clin Oncol 25:1061–1066

    Article  PubMed  Google Scholar 

  20. Heng D, Gao F, Jong R, Fishell E, Yaffe M, Martin L, Li T, Stone J, Sun L, Hopper J, Boyd NF (2004) Risk factors for breast cancer associated with mammographic features in Singaporean Chinese women. Cancer Epidemiol Biomarkers Prev 13:1751–1758

    PubMed  Google Scholar 

  21. Almasy L, Blangero J (1998) Multipoint quantitative-trait linkage analysis in general pedigrees. Am J Hum Genet 62:1198–1211

    Article  CAS  PubMed  Google Scholar 

  22. Boyd NF, Lockwood GA, Martin LJ, Knight JA, Jong RA, Fishell E, Byng JW, Yaffe MJ, Tritchler DL (1999) Mammographic densities and risk of breast cancer among subjects with a family history of this disease. J Natl Cancer Inst 91:1404–1408

    Article  CAS  PubMed  Google Scholar 

  23. Vachon CM, Sellers TA, Carlson EE, Cunningham JM, Hilker CA, Smalley RL, Schaid DJ, Kelemen LE, Couch FJ, Pankratz VS (2007) Strong evidence of a genetic determinant for mammographic density, a major risk factor for breast cancer. Cancer Res 67:8412–8418

    Article  CAS  PubMed  Google Scholar 

  24. Stone J, Gurrin LC, Byrnes GB, Schroen CJ, Treloar SA, Padilla EJ, Dite GS, Southey MC, Hayes VM, Hopper JL (2007) Mammographic density and candidate gene variants: a twins and sisters study. Cancer Epidemiol Biomarkers Prev 16:1479–1484

    Article  CAS  PubMed  Google Scholar 

  25. Torgersen S (1979) The determination of twin zygosity by means of a mailed questionnaire. Acta Genet Med Gemellol (Roma) 28:225–236

    CAS  Google Scholar 

  26. Van OC, Bosmans H, Van SA, Joossens K, Celis V, Van GM, Verslegers I, Nijs K, Rogge F, Marchal G (2006) Evaluation of the diagnostic value of a computed radiography system by comparison of digital hard copy images with screen-film mammography: results of a prospective clinical trial. Eur Radiol 16:1360–1366

    Article  Google Scholar 

  27. Skaane P (2009) Studies comparing screen-film mammography and full-field digital mammography in breast cancer screening: updated review. Acta Radiol 50:3–14

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

This study was supported by the National Genome Research Institute, Korea, National Institute of Health research contract (budgets 2005-347-2400-2440-215, 2006-347-2400-2440-215, 2007-347-2400-2440-215, 2008-E00255-00, and 2009-E00500-00), Korean Ministry of Education, Science and Technology (Grant Number M10305030005), and the Samsung Biomedical Research Institute (SBRI C-A9-218-1). The views expressed in this article are those of the authors and not necessarily any funding body.

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Correspondence to Yun-Mi Song.

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Sung, J., Song, YM., Stone, J. et al. Genetic influences on mammographic density in Korean twin and family: the Healthy Twin study. Breast Cancer Res Treat 124, 467–474 (2010). https://doi.org/10.1007/s10549-010-0852-9

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  • DOI: https://doi.org/10.1007/s10549-010-0852-9

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