Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures.


Stone, J; Thompson, DJ; Dos Santos Silva, I; Scott, C; Tamimi, RM; Lindstrom, S; Kraft, P; Hazra, A; Li, J; Eriksson, L; Czene, K; Hall, P; Jensen, M; Cunningham, J; Olson, JE; Purrington, K; Couch, FJ; Brown, J; Leyland, J; Warren, RM; Luben, RN; Khaw, KT; Smith, P; Wareham, NJ; Jud, SM; Heusinger, K; Beckmann, MW; Douglas, JA; Shah, KP; Chan, HP; Helvie, MA; Le Marchand, L; Kolonel, LN; Woolcott, C; Maskarinec, G; Haiman, C; Giles, GG; Baglietto, L; Krishnan, K; Southey, MC; Apicella, C; Andrulis, IL; Knight, JA; Ursin, G; Alnaes, GI; Kristensen, VN; Borresen-Dale, AL; Gram, IT; Bolla, MK; Wang, Q; Michailidou, K; Dennis, J; Simard, J; Pharoah, P; Dunning, AM; Easton, DF; Fasching, PA; Pankratz, VS; Hopper, JL; Vachon, CM; (2015) Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures. Cancer research. ISSN 0008-5472 DOI: https://doi.org/10.1158/0008-5472.CAN-14-2012

Full text not available from this repository.

Abstract

Mammographic density measures adjusted for age and body mass index (BMI) are heritable predictors of breast cancer risk, but few mammographic density-associated genetic variants have been identified. Using data for 10,727 women from two international consortia, we estimated associations between 77 common breast cancer susceptibility variants and absolute dense area, percent dense area and absolute nondense area adjusted for study, age, and BMI using mixed linear modeling. We found strong support for established associations between rs10995190 (in the region of ZNF365), rs2046210 (ESR1), and rs3817198 (LSP1) and adjusted absolute and percent dense areas (all P < 10(-5)). Of 41 recently discovered breast cancer susceptibility variants, associations were found between rs1432679 (EBF1), rs17817449 (MIR1972-2: FTO), rs12710696 (2p24.1), and rs3757318 (ESR1) and adjusted absolute and percent dense areas, respectively. There were associations between rs6001930 (MKL1) and both adjusted absolute dense and nondense areas, and between rs17356907 (NTN4) and adjusted absolute nondense area. Trends in all but two associations were consistent with those for breast cancer risk. Results suggested that 18% of breast cancer susceptibility variants were associated with at least one mammographic density measure. Genetic variants at multiple loci were associated with both breast cancer risk and the mammographic density measures. Further understanding of the underlying mechanisms at these loci could help identify etiologic pathways implicated in how mammographic density predicts breast cancer risk. Cancer Res; 75(12); 1-11. ©2015 AACR.

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
PubMed ID: 25862352
Web of Science ID: 357334400007
URI: http://researchonline.lshtm.ac.uk/id/eprint/2197050

Statistics


Download activity - last 12 months
Downloads since deposit
0Downloads
248Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months
Impact and interest
Additional statistics for this record are available via IRStats2

Actions (login required)

Edit Item Edit Item