Abstract
Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta-analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER-). We further compared associations with ER+ and ER- subtypes, using a case-only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER- breast cancer. We further identified 30 TWAS-significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast-cancer gene in three of six regions harboring multiple TWAS-significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER- breast cancer.
| Original language | English |
|---|---|
| Pages (from-to) | 442-468 |
| Number of pages | 27 |
| Journal | Genetic Epidemiology |
| Volume | 44 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Jul 2020 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords*
- Breast Neoplasms/genetics
- Estrogens/metabolism
- Female
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Genomics
- Humans
- Receptors, Estrogen/metabolism
- Risk Assessment
- Transcriptome
- Vesicular Transport Proteins/genetics
Field of Science*
- 1.6 Biological sciences
- 3.1 Basic medicine
Publication Type*
- 1.1. Scientific article indexed in Web of Science and/or Scopus database
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