Literature DB >> 12239257

Heritability of mammographic density, a risk factor for breast cancer.

Norman F Boyd1, Gillian S Dite, Jennifer Stone, Anoma Gunasekara, Dallas R English, Margaret R E McCredie, Graham G Giles, David Tritchler, Anna Chiarelli, Martin J Yaffe, John L Hopper.   

Abstract

BACKGROUND: Women with extensive dense breast tissue visible on a mammogram have a risk of breast cancer that is 1.8 to 6.0 times that of women of the same age with little or no density. Menopausal status, weight, and parity account for 20 to 30 percent of the age-adjusted variation in the percentage of dense tissue.
METHODS: We undertook two studies of twins to determine the proportion of the residual variation in the percentage of density measured by mammography that can be explained by unmeasured additive genetic factors (heritability). A total of 353 pairs of monozygotic twins and 246 pairs of dizygotic twins were recruited from the Australian Twin Registry, and 218 pairs of monozygotic twins and 134 pairs of dizygotic twins were recruited in Canada and the United States. Information on putative determinants of breast density was obtained by questionnaire. Mammograms were digitized, randomly ordered, and read by a blinded investigator.
RESULTS: After adjustment for age and measured covariates, the correlation coefficient for the percentage of dense tissue was 0.61 for monozygotic pairs in Australia, 0.67 for monozygotic pairs in North America, 0.25 for dizygotic pairs in Australia, and 0.27 for dizygotic pairs in North America. According to the classic twin model, heritability (the proportion of variants attributable to additive genetic factors) accounted for 60 percent of the variation in density (95 percent confidence interval, 54 to 66) in Australian twins, 67 percent (95 percent confidence interval, 59 to 75) in North American twins, and 63 percent (95 percent confidence interval, 59 to 67) in all twins studied.
CONCLUSIONS: These results show that the population variation in the percentage of dense tissue on mammography at a given age has high heritability. Because mammographic density is associated with an increased risk of breast cancer, finding the genes responsible for this phenotype could be important for understanding the causes of the disease. Copyright 2002 Massachusetts Medical Society

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Year:  2002        PMID: 12239257     DOI: 10.1056/NEJMoa013390

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  191 in total

Review 1.  Clinical and epidemiological issues in mammographic density.

Authors:  Valentina Assi; Jane Warwick; Jack Cuzick; Stephen W Duffy
Journal:  Nat Rev Clin Oncol       Date:  2011-12-06       Impact factor: 66.675

2.  Interobserver agreement in breast radiological density attribution according to BI-RADS quantitative classification.

Authors:  D Bernardi; M Pellegrini; S Di Michele; P Tuttobene; C Fantò; M Valentini; M Gentilini; S Ciatto
Journal:  Radiol Med       Date:  2012-01-07       Impact factor: 3.469

3.  Comparison of breast density measured on MR images acquired using fat-suppressed versus nonfat-suppressed sequences.

Authors:  Daniel H-E Chang; Jeon-Hor Chen; Muqing Lin; Shadfar Bahri; Hon J Yu; Rita S Mehta; Ke Nie; David J B Hsiang; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2011-11       Impact factor: 4.071

4.  Mammographic breast density and breast cancer: evidence of a shared genetic basis.

Authors:  Jajini S Varghese; Deborah J Thompson; Kyriaki Michailidou; Sara Lindström; Clare Turnbull; Judith Brown; Jean Leyland; Ruth M L Warren; Robert N Luben; Ruth J Loos; Nicholas J Wareham; Johanna Rommens; Andrew D Paterson; Lisa J Martin; Celine M Vachon; Christopher G Scott; Elizabeth J Atkinson; Fergus J Couch; Carmel Apicella; Melissa C Southey; Jennifer Stone; Jingmei Li; Louise Eriksson; Kamila Czene; Norman F Boyd; Per Hall; John L Hopper; Rulla M Tamimi; Nazneen Rahman; Douglas F Easton
Journal:  Cancer Res       Date:  2012-01-19       Impact factor: 12.701

5.  Automatic classification of mammography reports by BI-RADS breast tissue composition class.

Authors:  Bethany Percha; Houssam Nassif; Jafi Lipson; Elizabeth Burnside; Daniel Rubin
Journal:  J Am Med Inform Assoc       Date:  2012-01-29       Impact factor: 4.497

6.  The genetics of response to estrogen treatment.

Authors:  Bente L Langdahl
Journal:  Clin Cases Miner Bone Metab       Date:  2009-01

7.  Automatic breast parenchymal density classification integrated into a CADe system.

Authors:  G Bueno; N Vállez; O Déniz; P Esteve; M A Rienda; M Arias; C Pastor
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-08-05       Impact factor: 2.924

Review 8.  Breast tissue composition and susceptibility to breast cancer.

Authors:  Norman F Boyd; Lisa J Martin; Michael Bronskill; Martin J Yaffe; Neb Duric; Salomon Minkin
Journal:  J Natl Cancer Inst       Date:  2010-07-08       Impact factor: 13.506

9.  Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI.

Authors:  Ke Nie; Jeon-Hor Chen; Siwa Chan; Man-Kwun I Chau; Hon J Yu; Shadfar Bahri; Tiffany Tseng; Orhan Nalcioglu; Min-Ying Su
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

10.  Cancer: Destiny from density.

Authors:  Victoria L Seewaldt
Journal:  Nature       Date:  2012-10-25       Impact factor: 49.962

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