The contributions of breast density and common genetic variation to breast cancer risk

Vachon CM, Pankratz VS, Scott CG, Häberle L, Ziv E, Jensen MR, Brandt KR, Whaley DH, Olson JE, Heusinger K, Hack C, Jud S, Beckmann M, Schulz-Wendtland R, Tice JA, Norman AD, Cunningham JM, Purrington KS, Easton DF, Sellers TA, Kerlikowske K, Fasching P, Couch FJ (2015)

Publication Type: Journal article

Publication year: 2015

Journal

Publisher: Oxford University Press (OUP): Policy B1 - Oxford Open Option D

Book Volume: 107

Journal Issue: 5

DOI: 10.1093/jnci/dju397

Abstract

We evaluated whether a 76-locus polygenic risk score (PRS) and Breast Imaging Reporting and Data System (BI-RADS) breast density were independent risk factors within three studies (1643 case patients, 2397 control patients) using logistic regression models. We incorporated the PRS odds ratio (OR) into the Breast Cancer Surveillance Consortium (BCSC) risk-prediction model while accounting for its attributable risk and compared five-year absolute risk predictions between models using area under the curve (AUC) statistics. All statistical tests were two-sided. BI-RADS density and PRS were independent risk factors across all three studies (P interaction = .23). Relative to those with scattered fibroglandular densities and average PRS (2(nd) quartile), women with extreme density and highest quartile PRS had 2.7-fold (95% confidence interval [CI] = 1.74 to 4.12) increased risk, while those with low density and PRS had reduced risk (OR = 0.30, 95% CI = 0.18 to 0.51). PRS added independent information (P < .001) to the BCSC model and improved discriminatory accuracy from AUC = 0.66 to AUC = 0.69. Although the BCSC-PRS model was well calibrated in case-control data, independent cohort data are needed to test calibration in the general population.

Authors with CRIS profile

Involved external institutions

Mayo Clinic United States (USA) (US) University of California San Francisco (UCSF) United States (USA) (US) Wayne State University (WSU) United States (USA) (US) University of Cambridge United Kingdom (GB) H. Lee Moffitt Cancer Center & Research Institute United States (USA) (US)

How to cite

APA:

Vachon, C.M., Pankratz, V.S., Scott, C.G., Häberle, L., Ziv, E., Jensen, M.R.,... Couch, F.J. (2015). The contributions of breast density and common genetic variation to breast cancer risk. Journal of the National Cancer Institute, 107(5). https://doi.org/10.1093/jnci/dju397

MLA:

Vachon, Celine M., et al. "The contributions of breast density and common genetic variation to breast cancer risk." Journal of the National Cancer Institute 107.5 (2015).

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