title: The relationship between bone mineral density and mammographic density in Korean women: the Healthy Twin study.
abstract: Mammographic density is one of the strong risk factors for breast cancer. A potential mechanism for this association is that cumulative exposure to mammographic density may reflect cumulative exposure to hormones that stimulate cell division in breast stroma and epithelium, which may have corresponding effects on breast cancer development. Bone mineral density (BMD), a marker of lifetime estrogen exposure, has been found to be associated with breast cancer. We examined the association between BMD and mammographic density in a Korean population. Study subjects were 730 Korean women selected from the Healthy Twin study. BMD (g/cm(2)) was measured with dual-energy X-ray absorptiometry. Mammographic density was measured from digital mammograms using a computer-assisted thresholding method. Linear mixed model considering familial correlations and a wide range of covariates was used for analyses. Quantitative genetic analysis was completed using SOLAR. In premenopausal women, positive associations existed between absolute dense area and BMD at ribs, pelvis, and legs, and between percent dense area and BMD at pelvis and legs. However, in postmenopausal women, there was no association between BMD at any site and mammographic density measures. An evaluation of additive genetic cross-trait correlation showed that absolute dense area had a weak-positive additive genetic cross-trait correlation with BMD at ribs and spines after full adjustment of covariates. This finding suggests that the association between mammographic density and breast cancer could, at least in part, be attributable to an estrogen-related hormonal mechanism.
authors.affiliation: Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea.
authors.forename: Joohon
authors.initials: J
authors.lastname: Sung
authors.forename: Yun-Mi
authors.initials: YM
authors.lastname: Song
authors.forename: Jennifer
authors.initials: J
authors.lastname: Stone
authors.forename: Kayoung
authors.initials: K
authors.lastname: Lee
mesh_terms: D015502:Absorptiometry, Photon; D000328:Adult; D044466:Asian People / Q000235:genetics; D015519:Bone Density / Q000235:genetics; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000235:genetics / Q000378:metabolism; D016009:Chi-Square Distribution; D004967:Estrogens / Q000378:metabolism; D005260:Female; D020022:Genetic Predisposition to Disease; D006801:Humans; D016014:Linear Models; D008327:Mammography; D008875:Middle Aged; D010641:Phenotype; D017698:Postmenopause / Q000235:genetics / Q000378:metabolism; D017697:Premenopause / Q000235:genetics / Q000378:metabolism; D040641:Quantitative Trait Loci; D056910:Republic of Korea / Q000453:epidemiology; D018570:Risk Assessment; D012307:Risk Factors
chemical_list: D004967:Estrogens