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Transcriptome-wide association study of breast cancer risk by estrogen-receptor status

  • ABCTB Investigators
  • , HEBON Investigators
  • , BCFR Investigators
  • , OCGN Investigators
  • , GEMO Study Collaborators
  • , EMBRACE Collaborators
  • , GC-HBOC study Collaborators

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

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 languageEnglish
Pages (from-to)442-468
Number of pages27
JournalGenetic Epidemiology
Volume44
Issue number5
DOIs
StatePublished - 01 Jul 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • GWAS
  • TWAS
  • breast cancer subtype
  • causal gene

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