Evidence map›Paper›PMID 32620809›Full record

ArticleNature communications2020

Germline de novo mutation rates on exons versus introns in humans.

Miguel Rodriguez-Galindo, Sònia Casillas, Donate Weghorn, Antonio Barbadilla

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  4. NoncodingiScience · 2025
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  14. Review
  15. Enabling Inference for Context-Dependent Models of Mutation by Bounding the Propagation of Dependency.Journal of computational biology : a journal of computational molecular cell biology · 2022
    Article
  16. Article
  17. Article
  18. 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

4 authors at 3 institutions in 1 country.

Miguel Rodriguez-GalindoCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain.ORCID http://orcid.org/0000-0003-2893-916X
Sònia CasillasInstitute of Biotechnology and Biomedicine, Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain.ORCID http://orcid.org/0000-0001-8191-0062
Donate WeghornCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain. dweghorn@crg.eu.ORCID http://orcid.org/0000-0001-7722-8618
Antonio BarbadillaInstitute of Biotechnology and Biomedicine, Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain. antonio.barbadilla@uab.es.ORCID http://orcid.org/0000-0002-0374-1475
Universitat Autònoma de Barcelona · ESCentre for Genomic Regulation · ESUniversitat Pompeu Fabra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A main assumption of molecular population genetics is that genomic mutation rate does not depend on sequence function. Challenging this assumption, a recent study has found a reduction in the mutation rate in exons compared to introns in somatic cells, ascribed to an enhanced exonic mismatch repair system activity. If this reduction happens also in the germline, it can compromise studies of population genomics, including the detection of selection when using introns as proxies for neutrality. Here we compile and analyze published germline de novo mutation data to test if the exonic mutation rate is also reduced in germ cells. After controlling for sampling bias in datasets with diseased probands and extended nucleotide context dependency, we find no reduction in the mutation rate in exons compared to introns in the germline. Therefore, there is no evidence that enhanced exonic mismatch repair activity determines the mutation rate in germline cells.

Indexed as

Germ-Line MutationMutation RateAlgorithmsDNA Mismatch RepairEvolution, MolecularExome SequencingExonsGerm CellsHumansIntronsModels, GeneticMutation

Identifiers

PMID32620809
PMCPMC7334200
OpenAlexW3038956612

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.