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Cheek Swab Sequencing Charts Hidden Mutations Tied to Age, Smoking and Alcohol

Researchers unveil an ultra-accurate method that detects rare DNA changes in normal tissues.

Overview

  • The Wellcome Sanger Institute refined NanoSeq and, with TwinsUK, analyzed 1,042 cheek swabs and 371 blood samples to map somatic mutations at high resolution.
  • Researchers detected more than 340,000 mutations in cheek cells, including over 62,000 in known cancer genes, and identified 49 genes under positive selection.
  • Distinct mutational signatures linked to lifestyle were observed, with smokers showing increased NOTCH1 mutations and heavy drinkers displaying a characteristic DNA pattern.
  • Most mutated cell clones in normal tissue were very small and did not continue to expand over time, indicating common mutations rarely progress.
  • A companion Nature study of 81 sperm samples found disease-causing mutations in about 2% of sperm in men in their early 30s, rising to 3–5% in middle-aged and older men, highlighting a risk that increases with paternal age.