Evidence map›Paper›PMID 26761240›Full record

ArticlePLoS biology2016

Interpreting the Dependence of Mutation Rates on Age and Time.

Ziyue Gao, Minyoung J Wyman, Guy Sella, Molly Przeworski

Abstract read
In one paragraph

Article in PLoS biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Article
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  8. Article
  9. Towards an evolutionary baseline model ofbioRxiv : the preprint server for biology · 2025
    Article
  10. Prevalence and genetics of "de novo" MEN2 syndromes.The Journal of clinical endocrinology and metabolism · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
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  16. Article
  17. Article
  18. Review
  19. Article
  20. Characterizing the rates and patterns ofbioRxiv : the preprint server for biology · 2024
    Article

30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ziyue GaoCommittee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, Illinois, United States of America.
Minyoung J WymanDepartment of Biological Sciences, Columbia University, New York, New York, United States of America.
Guy SellaDepartment of Biological Sciences, Columbia University, New York, New York, United States of America.
Molly PrzeworskiDepartment of Biological Sciences, Columbia University, New York, New York, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations can originate from the chance misincorporation of nucleotides during DNA replication or from DNA lesions that arise between replication cycles and are not repaired correctly. We introduce a model that relates the source of mutations to their accumulation with cell divisions, providing a framework for understanding how mutation rates depend on sex, age, and cell division rate. We show that the accrual of mutations should track cell divisions not only when mutations are replicative in origin but also when they are non-replicative and repaired efficiently. One implication is that observations from diverse fields that to date have been interpreted as pointing to a replicative origin of most mutations could instead reflect the accumulation of mutations arising from endogenous reactions or exogenous mutagens. We further find that only mutations that arise from inefficiently repaired lesions will accrue according to absolute time; thus, unless life history traits co-vary, the phylogenetic "molecular clock" should not be expected to run steadily across species.

Indexed as

Models, GeneticMutation RateAgingAnimalsCell DivisionDNA ReplicationHumansTime Factors

Identifiers

PMID26761240
PMCPMC4711947

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.