| Title: | Associations of genetic susceptibility to 16 cancers with risk of breast cancer overall and by intrinsic subtypes |
| Journal: | Human Genetics and Genomics Advances |
| Published: | 10 Dec 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35047862/ |
| DOI: | https://doi.org/10.1016/j.xhgg.2021.100077 |
Publication 10867
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Abstract
Certain genetic variants are associated with risks of multiple cancers. We investigated breast cancer risk with overall genetic susceptibility to each of 16 other cancers. We constructed polygenic risk scores (PRS) for 16 cancers using risk variants identified by genome-wide association studies. We evaluated the associations of these PRSs with breast cancer risk (overall and by subtypes) using Breast Cancer Association Consortium data, including 106,278 cases and 91,477 controls of European ancestry. Odds ratios (OR) and 95% confidence intervals (CIs) were estimated to measure the association of each PRS with breast cancer risk. Data from the UK Biobank, including 4,337 cases and 209,983 non-cases, were used to replicate the findings. A 5%-8% significantly elevated risk of overall breast cancer was associated with per unit increase of the PRS for glioma and cancers of the corpus uteri, stomach, or colorectum. Analyses by subtype revealed that the PRS for corpus uteri cancer (OR = 1.09; 95% CI, 1.03-1.15) and stomach cancer (OR = 1.07; 95% CI, 1.03-1.12) were associated with estrogen receptor-positive breast cancer, while ovarian cancer PRS was associated with triple-negative breast cancer (OR = 1.25; 95% CI, 1.01-1.55). UK Biobank data supported the positive associations of overall breast cancer risk with PRS for melanoma and cancers of the stomach, colorectum, and ovary. Our study provides strong evidence for shared genetic susceptibility of breast cancer with several other cancers. Results from our study help uncover the genetic basis for breast and other cancers and identify individuals at high risk for multiple cancers.</p>
7 Authors
- Jungyoon Choi
- Guochong Jia
- Wanqing Wen
- Ran Tao
- Jirong Long
- Xiao-Ou Shu
- Wei Zheng
1 Application
| Application ID | Title |
|---|---|
| 40685 | Evaluating the utility of disease polygenetic risk scores in identifying high-risk individuals using UK Biobank data |
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