Evidence map›Paper›PMID 31227601›Full record

ArticleGenome research2019

Exome-wide assessment of the functional impact and pathogenicity of multinucleotide mutations.

Joanna Kaplanis, Nadia Akawi, Giuseppe Gallone, Jeremy F McRae, Elena Prigmore, Caroline F Wright, David R Fitzpatrick, Helen V Firth, Jeffrey C Barrett, Matthew E Hurles and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Highly Recurrent Multinucleotide Mutations in SARS-CoV-2.Molecular biology and evolution · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Single-cell genomics and regulatory networks for 388 human brains.bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Article
  16. Inferring compound heterozygosity from large-scale exome sequencing data.bioRxiv : the preprint server for biology · 2023
    Article
  17. Article
  18. Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  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

11 authors at 5 institutions in 1 country.

Joanna KaplanisWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, United Kingdom.ORCID 0000-0003-1142-6683
Nadia AkawiDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, United Kingdom.
Giuseppe GalloneWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, United Kingdom.
Jeremy F McRaeWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, United Kingdom.
Elena PrigmoreWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, United Kingdom.
Caroline F WrightInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, EX2 5DW, United Kingdom.
David R FitzpatrickMRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, United Kingdom.
Helen V FirthWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, United Kingdom.
Jeffrey C BarrettWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, United Kingdom.
Matthew E HurlesWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA, United Kingdom.
Deciphering Developmental Disorders study
Wellcome Sanger Institute · GBCambridge University Hospitals NHS Foundation Trust · GBUniversity of Exeter · GBUniversity of Oxford · GBWestern General Hospital · GB

Funding

Department of HealthWellcome TrustWellcome Trust WT098051
6 · The paper itself

Abstract

Approximately 2% of de novo single-nucleotide variants (SNVs) appear as part of clustered mutations that create multinucleotide variants (MNVs). MNVs are an important source of genomic variability as they are more likely to alter an encoded protein than a SNV, which has important implications in disease as well as evolution. Previous studies of MNVs have focused on their mutational origins and have not systematically evaluated their functional impact and contribution to disease. We identified 69,940 MNVs and 91 de novo MNVs in 6688 exome-sequenced parent-offspring trios from the Deciphering Developmental Disorders Study comprising families with severe developmental disorders. We replicated the previously described MNV mutational signatures associated with DNA polymerase zeta, an error-prone translesion polymerase, and the APOBEC family of DNA deaminases. We estimate the simultaneous MNV germline mutation rate to be 1.78 × 10

Indexed as

ExomeMutationChildDevelopmental DisabilitiesDNA Mutational AnalysisHumansMutation, MissenseMutation RateNucleotidesPolymorphism, Single NucleotideNucleotides

Identifiers

PMID31227601
PMCPMC6633265
OpenAlexW2792877831

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.