Somatic Mutation and Selection at Population Scale

Music:
Enjoy the music based on this article at the end of the episode.

License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/

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Episode link: https://basebybase.com/episodes/somatic-mutation-and-selection-at-population-scale

️ Episode:
197: Somatic Mutation and Selection at Population Scale

️ Season:
1

Article title:
Somatic mutation and selection at population scale

Journal:
Nature

DOI:
10.1038/s41586-025-09584-w

QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-13.

QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Audited spoken content for alignment with the article's main findings: NanoSeq methodology and ultra-low error sequencing; age-related somatic mutation accumulation in oral epithelium; driver landscape (NOTCH1, TP53, FAT1); in vivo saturation mutagenesis and hotspots (TP53 DNA-binding domain; RAC1); clonal growth dynam
- transcript topics: NanoSeq methodology and ultra-low error sequencing; Age-related somatic mutation accumulation in oral epithelium; Driver landscape and positive selection in oral epithelium; In vivo saturation mutagenesis and hotspot mapping (TP53 DNA-binding domain; RAC1 GTP-binding pocket); Clonal growth dynamics and tissue architectural plateau; Alcohol-related mutational signatures and ALDH2 genetics

QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 8
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0

Metadata Audited:
- article_doi
- article_title
- article_journal
- license

Factual Items Audited:
- NanoSeq achieves error rate below five errors per billion base pairs
- Age-related somatic mutation accumulation in oral epithelium ~18 SNVs per cell per year
- Driver landscape includes 46 genes under positive selection and >62,000 driver mutations in oral epithelium
- NOTCH1, TP53 and FAT1 are among strongest driver genes in oral epithelium
- Approximately 10–20% of cheek cells carry a driver mutation in older individuals
- In vivo saturation mutagenesis identifies hotspots in TP53 DNA-binding domain and RAC1 GTP-binding pocket

QC result: Pass.