Data from Common Breast Cancer Susceptibility Variants in <i>LSP1</i> and <i>RAD51L1</i> Are Associated with Mammographic Density Measures that Predict Breast Cancer Risk
Authors: Vachon Celine M. , Scott Christopher G. , Fasching Peter A. , Hall Per , Tamimi Rulla M. , Li Jingmei , Stone Jennifer , Apicella Carmel , Odefrey Fabrice , Gierach Gretchen L. , Jud Sebastian M. , Heusinger Katharina , Beckmann Matthias W. , Pollan Marina , Fernández-Navarro Pablo , Gonzalez-Neira Anna , Benitez Javier , van Gils Carla H. , Lokate Mariëtte , Onland-Moret N. Charlotte , Peeters Petra H.M. , Brown Judith , Leyland Jean , Varghese Jajini S. , Easton Douglas F. , Thompson Deborah J. , Luben Robert N. , Warren Ruth M.L. , Wareham Nicholas J. , Loos Ruth J.F. , Khaw Kay-Tee , Ursin Giske , Lee Eunjung , Gayther Simon A. , Ramus Susan J. , Eeles Rosalind A. , Leach Martin O. , Kwan-Lim Gek , Couch Fergus J. , Giles Graham G. , Baglietto Laura , Krishnan Kavitha , Southey Melissa C. , Le Marchand Loic , Kolonel Laurence N. , Woolcott Christy , Maskarinec Gertraud , Haiman Christopher A. , Walker Kate , Johnson Nichola , McCormack Valeria A. , Biong Margarethe , Alnaes Grethe I.G. , Gram Inger Torhild , Kristensen Vessela N. , Børresen-Dale Anne-Lise , Lindström Sara , Hankinson Susan E. , Hunter David J. , Andrulis Irene L. , Knight Julia A. , Boyd Norman F. , Figuero Jonine D. , Lissowska Jolanta , Wesolowska Ewa , Peplonska Beata , Bukowska Agnieszka , Reszka Edyta , Liu JianJun , Eriksson Louise , Czene Kamila , Audley Tina , Wu Anna H. , Pankratz V. Shane , Hopper John L. , dos-Santos-Silva Isabel 
Published: April 2023

<div>Abstract<p><b>Background:</b> 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.</p><p><b>Methods:</b> 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.</p><p><b>Results:</b> Consistent with their breast cancer associations, the C-allele of rs3817198 in <i>LSP1</i> was positively associated with both adjusted dense area (<i>P</i> = 0.00005) and adjusted percent density (<i>P</i> = 0.001), whereas the A-allele of rs10483813 in <i>RAD51L1</i> was inversely associated with adjusted percent density (<i>P</i> = 0.003), but not with adjusted dense area (<i>P</i> = 0.07).</p><p><b>Conclusion:</b> We identified two common breast cancer susceptibility variants associated with mammographic measures of radiodense tissue in the breast gland.</p><p><b>Impact:</b> 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, <i>LSP1</i>-rs3817198 and <i>RAD51L1</i>-rs10483813, associated with mammographic measures and in the same direction as the breast cancer association. <i>Cancer Epidemiol Biomarkers Prev; 21(7); 1156–. ©2012 AACR.</i></p></div>