Back

Mammographic density, pathogenic breast cancer susceptibility gene variants and breast cancer risk.

Zhang, X.; Eriksson, M.; Mavaddat, N.; Dennis, J.; Astley, S. M.; Gabrielson, M.; Giles, G. G.; Hart, S. N.; Hunter, D. J.; Le Marchand, L.; Lush, M.; Michailidou, K.; Scott, C. G.; Wang, Q.; Howell, S. J.; Naven, M.; Antoniou, A. C.; Aronson, K. J.; Bolla, M. K.; Castelao, J. E.; Couch, F. J.; Czene, K.; Dunning, A. M.; Evans, D. G.; Gago-Dominguez, M.; García-Closas, M.; Haiman, C. A.; Milne, R. L.; Pharoah, P. D. P.; Southey, M. C.; Stone, J.; Murphy, R. A.; Berrington de Gonzalez, A.; Vachon, C. M.; Hall, P.; Easton, D. F.

2025-04-19 oncology
10.1101/2025.04.17.25325994
Show abstract

ImportanceMammographic density (MD) and pathogenic variants (PVs) in breast cancer susceptibility genes are major determinants of breast cancer risk, but their association and joint effects on breast cancer risk are unclear. ObjectiveTo investigate the association between the presence or absence of PVs in breast cancer susceptibility genes and MD measures, and their joint effects on breast cancer risk in an observational study; and to evaluate causality using Mendelian randomisation (MR) analyses. DesignCase-control analyses using data from the Breast Cancer Association Consortium (1991-2016). Sequencing and genotyping took place between 2009 and 2021. SettingMulticenter ParticipantsA total of 6,809 cases and 18,189 controls were included, from 15 studies, comprising women aged 19 to 92 years with mammograms taken at least one year before diagnosis. ExposureMD measures, including dense area (DA), non-dense area (NDA), percentage density (PD) and absolute difference in PD between left and right breasts (ADPD), and PVs in ATM, BARD1, BRCA1, BRCA2, CHEK2, PALB2, RAD51C and RAD51D. Main outcomes and measuresBreast cancer risk overall, by oestrogen receptor expression-defined subtypes, and among BRCA1 and BRCA2 PV carriers. ResultsNo association was found between the overall burden of PVs and any MD measure. There was some evidence for a negative interaction between the burden of PVs in the eight genes and PD (OR=0.79,95%CIint=0.62,1.00, PLRT=0.047). This appears to be largely driven by a positive interaction with NDA. MR analyses indicated attenuated effects for BRCA1 (for PD, OR per standard deviation =1.02(95%CI:0.78,1.34) but not BRCA2 PV carriers (1.54,95%CI=1.08,2.24)). Conclusions and RelevanceThere was no evidence of association between PVs in breast cancer susceptibility genes and MD measures, but some suggestion that the association between MD and breast cancer risk may be weaker in PV carriers. Replication of these findings in further large datasets is required.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Breast Cancer Research
based on 11 papers
Top 0.1%
15.8%
2
British Journal of Cancer
based on 22 papers
Top 0.2%
8.5%
3
Cancer Epidemiology, Biomarkers & Prevention
based on 14 papers
Top 0.1%
8.5%
4
Nature Communications
based on 483 papers
Top 12%
6.6%
5
JAMA Network Open
based on 125 papers
Top 2%
6.0%
6
International Journal of Cancer
based on 18 papers
Top 0.4%
4.6%
7
eLife
based on 262 papers
Top 7%
3.0%
50% of probability mass above
8
Cancers
based on 57 papers
Top 4%
3.0%
9
PLOS ONE
based on 1737 papers
Top 79%
2.9%
10
Clinical Cancer Research
based on 22 papers
Top 2%
2.5%
11
Cancer Medicine
based on 17 papers
Top 2%
2.5%
12
BMJ Open
based on 553 papers
Top 34%
2.5%
13
JNCI: Journal of the National Cancer Institute
based on 13 papers
Top 0.5%
2.5%
14
BMC Cancer
based on 21 papers
Top 2%
2.5%
15
JCO Precision Oncology
based on 11 papers
Top 1%
1.6%
16
Proceedings of the National Academy of Sciences
based on 100 papers
Top 7%
1.6%
17
Scientific Reports
based on 701 papers
Top 77%
1.4%
18
Nature Genetics
based on 72 papers
Top 7%
1.2%
19
Frontiers in Oncology
based on 34 papers
Top 5%
0.9%
20
Clinical Epigenetics
based on 21 papers
Top 2%
0.8%
21
BMC Medicine
based on 155 papers
Top 21%
0.8%
22
International Journal of Epidemiology
based on 65 papers
Top 8%
0.8%
23
Communications Biology
based on 36 papers
Top 4%
0.8%
24
JCO Clinical Cancer Informatics
based on 14 papers
Top 4%
0.8%
25
Leukemia
based on 11 papers
Top 2%
0.8%
26
The American Journal of Human Genetics
based on 77 papers
Top 6%
0.8%
27
The Journal of Clinical Endocrinology & Metabolism
based on 26 papers
Top 4%
0.7%
28
Journal of Medical Genetics
based on 22 papers
Top 2%
0.7%
29
Human Molecular Genetics
based on 28 papers
Top 5%
0.7%
30
Gut
based on 17 papers
Top 3%
0.7%