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Genetic Aspects of Mammographic Density Measures Associated with Breast Cancer Risk.

Authors :
Li, Shuai
Nguyen, Tuong L.
Nguyen-Dumont, Tu
Dowty, James G.
Dite, Gillian S.
Ye, Zhoufeng
Trinh, Ho N.
Evans, Christopher F.
Tan, Maxine
Sung, Joohon
Jenkins, Mark A.
Giles, Graham G.
Hopper, John L.
Southey, Melissa C.
Source :
Cancers. Jun2022, Vol. 14 Issue 11, p2767-2767. 11p.
Publication Year :
2022

Abstract

Simple Summary: Mammogram risk scores, based on the area of a mammogram covered by white or bright areas defined at different levels of pixel brightness, predict breast cancer risk. They are correlated in relatives, and this might be due to genetic factors that cause breast cancer. We found that the known genetic markers associated with breast cancer risk were weakly correlated with the studied mammogram risk scores. Our findings suggest that less than 1% of the variance of the studied mammogram risk scores is explained by the known genetic markers associated with breast cancer risk. Discovering the genetic determinants of the bright, not white, regions of a mammogram could reveal new information about the genetic causes of breast cancer. Cumulus, Altocumulus, and Cirrocumulus are measures of mammographic density defined at increasing pixel brightness thresholds, which, when converted to mammogram risk scores (MRSs), predict breast cancer risk. Twin and family studies suggest substantial variance in the MRSs could be explained by genetic factors. For 2559 women aged 30 to 80 years (mean 54 years), we measured the MRSs from digitized film mammograms and estimated the associations of the MRSs with a 313-SNP breast cancer polygenic risk score (PRS) and 202 individual SNPs associated with breast cancer risk. The PRS was weakly positively correlated (correlation coefficients ranged 0.05–0.08; all p < 0.04) with all the MRSs except the Cumulus-white MRS based on the "white but not bright area" (correlation coefficient = 0.04; p = 0.06). After adjusting for its association with the Altocumulus MRS, the PRS was not associated with the Cumulus MRS. There were MRS associations (Bonferroni-adjusted p < 0.04) with one SNP in the ATXN1 gene and nominally with some ESR1 SNPs. Less than 1% of the variance of the MRSs is explained by the genetic markers currently known to be associated with breast cancer risk. Discovering the genetic determinants of the bright, not white, regions of the mammogram could reveal substantial new genetic causes of breast cancer. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20726694
Volume :
14
Issue :
11
Database :
Academic Search Index
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
157372447
Full Text :
https://doi.org/10.3390/cancers14112767