Uncovering variable neoplasms between ATM protein-truncating and common missense variants using 394694 UK Biobank

Xiao Jiang1, Amanda O'Neill1, Katherine R Smith1

  • 1Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.

Insights

The ataxia-telangiectasia mutated (ATM) gene

Area of Science:

  • Genetics
  • Oncology
  • Genomic Medicine

Background:

  • The ataxia-telangiectasia mutated (ATM) gene is a critical DNA damage regulator in cancer.
  • While ATM's role in oncology is established, the distinct impacts of its missense variants versus protein-truncating variants (PTVs) on neoplasms require further investigation.

Purpose of the Study:

  • To investigate the independent associations of ATM missense variants and protein-truncating variants (PTVs) with various neoplasms.
  • To determine if ATM missense variant effects on neoplasms are independent of ATM PTV carrier status.

Main Methods:

  • Utilized whole-exome sequencing data and clinical health records from 394,694 UK Biobank European participants.
  • Performed gene-level and variant-level phenome-wide association studies (PheWAS).
  • Conducted variant-level conditional association analysis to assess independence of missense variant effects from PTVs.

Main Results:

  • Gene-level analysis confirmed significant associations between ATM PTVs and 31 malignant neoplasm phenotypes (p < 2 × 10⁻⁹).
  • Three individual ATM missense variants showed significant associations with nine distinct tumor-related phenotypes (p < 2 × 10⁻⁹).
  • Crucially, these nine missense-associated phenotypes did not overlap with malignancies linked to ATM PTVs, and conditional analysis confirmed their independence.

Conclusions:

  • ATM PTVs are strongly associated with a broad spectrum of malignancies, consistent with existing literature.
  • Specific ATM missense variants are independently associated with distinct sets of neoplasms, suggesting unique biological roles beyond PTVs.
  • This highlights the importance of distinguishing between different variant types within the ATM gene for a comprehensive understanding of cancer risk.