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oai:repisalud.isciii.es:20.500.12105/73292025-04-07T06:47:11Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19608

00925njm 22002777a 4500 dc Vachon, Celine M author Scott, Christopher G author Fasching, Peter A author Hall, Per author Tamimi, Rulla M author Li, Jingmei author Stone, Jennifer author Apicella, Carmel author Odefrey, Fabrice author Gierach, Gretchen L author Jud, Sebastian M author Heusinger, Katharina author Beckmann, Matthias W author Pollan-Santamaria, Marina author Fernandez-Navarro, Pablo L author Gonzalez Neira, Anna author Benitez, Javier author van Gils, Carla H author Lokate, Mariëtte author Onland-Moret, N Charlotte author Peeters, Petra H M author Brown, Judith author Leyland, Jean author Varghese, Jajini S author Easton, Douglas F author Thompson, Deborah J author Luben, Robert N author Warren, Ruth M L author Wareham, Nicholas J author Loos, Ruth J F author Khaw, Kay-Tee author Ursin, Giske author Lee, Eunjung author Gayther, Simon A author Ramus, Susan J author Eeles, Rosalind A author Leach, Martin O author Kwan-Lim, Gek author Couch, Fergus J author Giles, Graham G author Baglietto, Laura author Krishnan, Kavitha author Southey, Melissa C author Le Marchand, Loic author Kolonel, Laurence N author Woolcott, Christy author Maskarinec, Gertraud author Haiman, Christopher A author Walker, Kate author Johnson, Nichola author McCormack, Valeria A author Biong, Margarethe author Alnaes, Grethe I G author Gram, Inger Torhild author Kristensen, Vessela N author Børresen-Dale, Anne-Lise author Lindström, Sara author Hankinson, Susan E author Hunter, David J author Andrulis, Irene L author Knight, Julia A author Boyd, Norman F author Figuero, Jonine D author Lissowska, Jolanta author Wesolowska, Ewa author Peplonska, Beata author Bukowska, Agnieszka author Reszka, Edyta author Liu, JianJun author Eriksson, Louise author Czene, Kamila author Audley, Tina author Wu, Anna H author Pankratz, V Shane author Hopper, John L author Dos-Santos-Silva, Isabel author 2012-07 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. Cancer Epidemiol Biomarkers Prev. 2012 Jul;21(7):1156-66. 10.1158/1055-9965.EPI-12-0066 1538-7755 1055-9965 Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 22454379 http://hdl.handle.net/20.500.12105/7329 Breast density Breast cancer Genetics Biomarkers Mammography Common breast cancer susceptibility variants in LSP1 and RAD51L1 are associated with mammographic density measures that predict breast cancer risk