MétaCan
Menu
Back to cohort
Record W1996982548 · doi:10.1158/0008-5472.can-07-0279

Mainstream Tobacco Smoke Causes Paternal Germ-Line DNA Mutation

2007· article· en· W1996982548 on OpenAlexafffund
Carole L. Yauk, Mathias Berndt, Andrew Williams, Andrea Rowan‐Carroll, George R. Douglas, Martin R. Stämpfli

Bibliographic record

VenueCancer Research · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCarcinogens and Genotoxicity Assessment
Canadian institutionsMcMaster UniversityHealth Canada
FundersCanadian Institutes of Health Research
KeywordsOffspringBiologyGeneticsMutationMutation frequencyTobacco smokeGermlineSidestream smokeMutagenSpermMutation rateCigarette smokeCarcinogenAndrologyGeneToxicologyMedicinePregnancy

Abstract

fetched live from OpenAlex

Despite the presence of known mutagens and carcinogens in cigarette smoke, there is currently no evidence to show that smoking, or exposure to cigarette smoke, can result in heritable genetic mutation. We show that male mice exposed to mainstream tobacco smoke (MTS) exhibit a significant increase in germ-line mutation frequency in spermatogonial stem cells. We exposed mature male mice to MTS for 6 or 12 weeks and investigated mutations arising in exposed spermatogonial stem cells at the expanded simple tandem repeat locus Ms6-hm. A generalized score test showed a significant treatment effect (P = 0.0214). Ms6-hm mutation frequency was 1.4 and 1.7 times higher in mice exposed to MTS for 6 and 12 weeks, respectively, compared with sham controls. The data suggest that mutations accumulate in the spermatogonial stem cells with extended exposures. Mutation spectra were identical between exposed and sham individuals, supporting the hypothesis that tandem repeat mutations arise through indirect mechanisms of mutation. Mutations in sperm that are passed on to offspring cause permanent, irreversible changes in genetic composition and can persist in future generations. Our research suggests that the consequences of smoking extend beyond the smoker to their nonsmoking descendents.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.067
GPT teacher head0.416
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations112
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueCancer ResearchSame topicCarcinogens and Genotoxicity AssessmentFrench-language works237,207