Sunday, December 7, 2025

Somatic mutation and selection at population scale

Landmark‌ Study Reveals ‍Genetic Impact ⁢of Lifestyle & Health on Oral Cancer Mutation Rates

LONDON ⁣- A new study ‍published⁤ in‍ Nature has identified nine key‍ factors⁢ – including age, sex, smoking history,​ alcohol ⁢consumption,⁣ type ‌2 diabetes, body mass index, tooth loss,​ physical activity, ‍and prior cancer⁣ history – that considerably influence somatic​ mutation burden in oral tissues at a population scale. Researchers‍ analyzed data from a large‍ cohort, employing mixed-effects models to account⁤ for familial relationships, and ‍found these variables collectively shape the landscape ⁣of genetic changes occurring in the mouth.

The‍ research team utilized multiple regression‍ models, ⁢structured as⁤ lmer(SNVburden ~ age + sex + packyears + drinkyears + T2D + BMI + missingteeth + IPAQ + cancer + (1| familyID), REML=F), to assess the relationship between these ‌predictors⁤ and the burden of single nucleotide variants (SNVs). ⁣ Data from ⁤12 samples showing potential​ HPV evidence and⁤ 6 ⁣with a history of chemotherapy were‍ excluded due to potential ‌confounding‍ effects, despite their relevance, owing to ‌limited sample sizes.

Rigorous ⁣statistical⁢ analysis, ⁤including Benjamini-Hochberg​ correction⁤ for multiple‌ testing across 126 ⁢tests (14 predictors x 9 outcome variables) ​using likelihood-ratio tests via ⁣the ⁤’drop1′ function in R, was ⁤employed to determine the importance of​ each covariate. ‌

Further ‍analyses, detailed in Supplementary Note‌ 7, explored ​extended ⁣medication data, interactions between smoking‍ and alcohol, and measures of selection. GWAS analyses and heritability tests are described in Supplementary Note 8. ‌ The R code used for all analyses is‍ available in the⁣ Supplementary Code. Only samples with⁤ mean duplex coverage ≥200x and complete metadata were⁣ included.

This study provides⁢ critical insights into ‌the interplay between environmental and​ genetic factors in oral cancer progress and offers a foundation for future research into personalized prevention‌ strategies.

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