Common breast cancer susceptibility variants in LSP1 and RAD51L1 are associated with mammographic density measures that predict breast cancer risk

Celine M. Vachon, Christopher G. Scott, Peter A. Fasching, Per Hall, Rulla M. Tamimi, Jingmei Li, Jennifer Stone, Carmel Apicella, Fabrice Odefrey, Gretchen L. Gierach, Sebastian M. Jud, Katharina Heusinger, Matthias W. Beckmann, Marina Pollan, Pablo Fernańdez-Navarro, Anna Gonzalez-Neira, Javier Benitez, Carla H. Van Gils, Mariëtte Lokate, N. Charlotte Onland-MoretPetra H.M. Peeters, Judith Brown, Jean Leyland, Jajini S. Varghese, Douglas F. Easton, Deborah J. Thompson, Robert N. Luben, Ruth M.L. Warren, Nicholas J. Wareham, Ruth J.F. Loos, Kay Tee Khaw, Giske Ursin, Eunjung Lee, Simon A. Gayther, Susan J. Ramus, Rosalind A. Eeles, Martin O. Leach, Gek Kwan-Lim, Fergus J. Couch, Graham G. Giles, Laura Baglietto, Kavitha Krishnan, Melissa C. Southey, Loic Le Marchand, Laurence N. Kolonel, Christy Woolcott, Gertraud Maskarinec, Christopher A. Haiman, Kate Walker, Nichola Johnson, Valeria A. McCormack, Margarethe Biong, Grethe I.G. Alnaes, Inger Torhild Gram, Vessela N. Kristensen, Anne Lise Brøresen-Dale, Sara Lindstrom̈, Susan E. Hankinson, David J. Hunter, Irene L. Andrulis, Julia A. Knight, Norman F. Boyd, Jonine D. Figuero, Jolanta Lissowska, Ewa Wesolowska, Beata Peplonska, Agnieszka Bukowska, Edyta Reszka, Jian Jun Liu, Louise Eriksson, Kamila Czene, Tina Audley, Anna H. Wu, V. Shane Pankratz, John L. Hopper, Isabel Dos-Santos-Silva

Research output: Contribution to journalArticlepeer-review

86 Scopus citations


Background: Mammographic density adjusted for age and body mass index (BMI) is a heritable marker of breast cancer susceptibility. Little is known about the biologic mechanisms underlying the association between mammographic density and breast cancer risk. We examined whether common low-penetrance breast cancer susceptibility variants contribute to interindividual differences in mammographic density measures. Methods: We established an international consortium (DENSNP) of 19 studies from 10 countries, comprising 16,895 Caucasian women, to conduct a pooled cross-sectional analysis of common breast cancer susceptibility variants in 14 independent loci and mammographic density measures. Dense and nondense areas, and percent density, were measured using interactive-thresholding techniques. Mixed linear models were used to assess the association between genetic variants and the square roots of mammographic density measures adjusted for study, age, case status, BMI, and menopausal status. Results: Consistent with their breast cancer associations, the C-allele of rs3817198 in LSP1 was positively associated with both adjusted dense area (P = 0.00005) and adjusted percent density (P = 0.001), whereas the A-allele of rs10483813 in RAD51L1 was inversely associated with adjusted percent density (P = 0.003), but not with adjusted dense area (P = 0.07). Conclusion: We identified two common breast cancer susceptibility variants associated with mammographic measures of radiodense tissue in the breast gland. Impact: We examined the association of 14 established breast cancer susceptibility loci with mammographic density phenotypes within a large genetic consortium and identified two breast cancer susceptibility variants, LSP1-rs3817198 and RAD51L1-rs10483813, associated with mammographic measures and in the same direction as the breast cancer association.

Original languageEnglish (US)
Pages (from-to)1156-1166
Number of pages11
JournalCancer Epidemiology Biomarkers and Prevention
Issue number7
StatePublished - Jul 2012

ASJC Scopus subject areas

  • General Medicine


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