Evidence map›Paper›PMID 31976378›Full record

ArticleWellcome open research2019

Misannotation of multiple-nucleotide variants risks misdiagnosis.

Matthew N Wakeling, Thomas W Laver, Kevin Colclough, Andrew Parish, Sian Ellard, Emma L Baple

Abstract read
In one paragraph

Article in Wellcome open research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Highly Recurrent Multinucleotide Mutations in SARS-CoV-2.Molecular biology and evolution · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. 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.

Matthew N Wakeling *Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, Devon, EX2 5DW, UK.ORCID https://orcid.org/0000-0002-6542-9241
Thomas W Laver *Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, Devon, EX2 5DW, UK.ORCID https://orcid.org/0000-0001-6399-0089
Kevin ColcloughMolecular Genetics Department, Royal Devon and Exeter NHS Foundation Trust, Exeter, Devon, EX2 5DW, UK.
Andrew ParishMolecular Genetics Department, Royal Devon and Exeter NHS Foundation Trust, Exeter, Devon, EX2 5DW, UK.
Sian EllardInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, Devon, EX2 5DW, UK.ORCID https://orcid.org/0000-0002-7620-5526
Emma L BapleInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, Devon, EX2 5DW, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple Nucleotide Variants (MNVs) are miscalled by the most widely utilised next generation sequencing analysis (NGS) pipelines, presenting the potential for missing diagnoses that would previously have been made by standard Sanger (dideoxy) sequencing. These variants, which should be treated as a single insertion-deletion mutation event, are commonly called as separate single nucleotide variants. This can result in misannotation, incorrect amino acid predictions and potentially false positive and false negative diagnostic results. This risk will be increased as confirmatory Sanger sequencing of Single Nucleotide variants (SNVs) ceases to be standard practice. Using simulated data and re-analysis of sequencing data from a diagnostic targeted gene panel, we demonstrate that the widely adopted pipeline, GATK best practices, results in miscalling of MNVs and that alternative tools can call these variants correctly. The adoption of calling methods that annotate MNVs correctly would present a solution for individual laboratories, however GATK best practices are the basis for important public resources such as the gnomAD database. We suggest integrating a solution into these guidelines would be the optimal approach.

Indexed as

GATKgenetic testingGnomADmulti nucleotide variantsnext generation sequencingvariant calling

Identifiers

PMID31976378
PMCPMC6957021

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.