Evidence map›Paper›PMID 38036792›Full record

ArticleNature genetics2023

A mutation rate model at the basepair resolution identifies the mutagenic effect of polymerase III transcription.

Vladimir Seplyarskiy, Evan M Koch, Daniel J Lee, Joshua S Lichtman, Harding H Luan, Shamil R Sunyaev

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
15.0field-weighted citation impact, top 1% of its field
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

50 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Dynamics of mutators of arbitrary dominance in humans.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Topographical archetypes of somatic mutagenesis in cancer.bioRxiv : the preprint server for biology · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Methylation-associated mutagenesis underlies variation in the mutation spectrum across eukaryotes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  18. Article
  19. Article
  20. Article
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

6 authors at 2 institutions in 1 country.

Vladimir Seplyarskiy *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-3161-8770
Evan M Koch *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Daniel J Lee *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Joshua S LichtmanNGM Biopharmaceuticals Inc., South San Francisco, CA, USA.
Harding H LuanNGM Biopharmaceuticals Inc., South San Francisco, CA, USA.
Shamil R SunyaevDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. ssunyaev@hms.harvard.edu.ORCID 0000-0001-5715-5677
Brigham and Women's Hospital · USDolby (United States) · US

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Statistical methods for studies of rare variantsR01MH101244 · NIMH · HARVARD MEDICAL SCHOOL · PI Benjamin Michael Neale, ALKES L PRICE · 2013 to 2026
$9.4M
The origin, the function and the phenotypic impact of human allelesR35GM127131 · NIGMS · HARVARD MEDICAL SCHOOL · PI SHAMIL SUNYAEV · 2018 to 2026
$8.1M
Predicting the impact of genetic variants, genes and pathways on human DiseaseU01HG012009 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ALKES L PRICE, Soumya Raychaudhuri · 2021 to 2026
$4.2M
Integrated pathogenicity assessment of clinically actionable genetic variantsR01HG010372 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASSA, CHRISTOPHER · 2018 to 2022
$3.5M
NHGRI NIH HHS R01 HG010372NHGRI NIH HHS T32 HG002295NHGRI NIH HHS U01 HG012009NIGMS NIH HHS R35 GM127131NIMH NIH HHS R01 MH101244NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

De novo mutations occur at substantially different rates depending on genomic location, sequence context and DNA strand. The success of methods to estimate selection intensity, infer demographic history and map rare disease genes, depends strongly on assumptions about the local mutation rate. Here we present Roulette, a genome-wide mutation rate model at basepair resolution that incorporates known determinants of local mutation rate. Roulette is shown to be more accurate than existing models. We use Roulette to refine the estimates of population growth within Europe by incorporating the full range of human mutation rates. The analysis of significant deviations from the model predictions revealed a tenfold increase in mutation rate in nearly all genes transcribed by polymerase III (Pol III), suggesting a new mutagenic mechanism. We also detected an elevated mutation rate within transcription factor binding sites restricted to sites actively used in testis and residing in promoters.

Indexed as

MutagensMutation RateRNA Polymerase IIITranscription, GeneticDNAHumansMaleMutagenesisMutationNucleotidyltransferasesPromoter Regions, GeneticDNAMutagensNucleotidyltransferasesRNA Polymerase III

Identifiers

PMID38036792
PMCPMC11348951
OpenAlexW4389175118

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.