Evidence map›Paper›PMID 34529042›Full record

ArticleBrain : a journal of neurology2022

Translating genetic and functional data into clinical practice: a series of 223 families with myotonia.

Karen Suetterlin, Emma Matthews, Richa Sud, Samuel McCall, Doreen Fialho, James Burge, Dipa Jayaseelan, Andrea Haworth, Mary G Sweeney, Dimitri M Kullmann and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Maternal obesity and ancestry distance in influencing birth outcomes.International journal of obesity (2005) · 2025
    Observational
  4. Article
  5. Article
  6. Article
  7. Structural basis of pH-dependent activation in a CLC transporter.Nature structural & molecular biology · 2024
    Article
  8. Periodic paralysis.Handbook of clinical neurology · 2024
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

13 authors at 5 institutions in 1 country.

Karen SuetterlinMRC International Centre for Genomic Medicine in Neuromuscular Diseases, Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology, London, UK.
Emma MatthewsMRC International Centre for Genomic Medicine in Neuromuscular Diseases, Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology, London, UK.
Richa SudNeurogenetics Unit, UCL Queen Square Institute of Neurology, London, UK.
Samuel McCallNeurogenetics Unit, UCL Queen Square Institute of Neurology, London, UK.
Doreen FialhoMRC International Centre for Genomic Medicine in Neuromuscular Diseases, Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology, London, UK.
James BurgeMRC International Centre for Genomic Medicine in Neuromuscular Diseases, Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology, London, UK.
Dipa JayaseelanMRC International Centre for Genomic Medicine in Neuromuscular Diseases, Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology, London, UK.
Andrea HaworthNeurogenetics Unit, UCL Queen Square Institute of Neurology, London, UK.
Mary G SweeneyNeurogenetics Unit, UCL Queen Square Institute of Neurology, London, UK.
Dimitri M KullmannDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK.
Stephanie SchorgeDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK.
Michael G HannaMRC International Centre for Genomic Medicine in Neuromuscular Diseases, Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology, London, UK.
Roope MännikköMRC International Centre for Genomic Medicine in Neuromuscular Diseases, Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology, London, UK.
University College London · GBNational Hospital for Neurology and Neurosurgery · GBKing's College Hospital · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GBSt George’s University Hospitals NHS Foundation Trust · GB

Funding

Medical Research Council MR/M01827X/1Medical Research Council MR/V037838/1Medical Research Council MR/W005204/1Wellcome Trust 209583/Z/17/Z
6 · The paper itself

Abstract

High-throughput DNA sequencing is increasingly employed to diagnose single gene neurological and neuromuscular disorders. Large volumes of data present new challenges in data interpretation and its useful translation into clinical and genetic counselling for families. Even when a plausible gene is identified with confidence, interpretation of the clinical significance and inheritance pattern of variants can be challenging. We report our approach to evaluating variants in the skeletal muscle chloride channel ClC-1 identified in 223 probands with myotonia congenita as an example of these challenges. Sequencing of CLCN1, the gene that encodes CLC-1, is central to the diagnosis of myotonia congenita. However, interpreting the pathogenicity and inheritance pattern of novel variants is notoriously difficult as both dominant and recessive mutations are reported throughout the channel sequence, ClC-1 structure-function is poorly understood and significant intra- and interfamilial variability in phenotype is reported. Heterologous expression systems to study functional consequences of CIC-1 variants are widely reported to aid the assessment of pathogenicity and inheritance pattern. However, heterogeneity of reported analyses does not allow for the systematic correlation of available functional and genetic data. We report the systematic evaluation of 95 CIC-1 variants in 223 probands, the largest reported patient cohort, in which we apply standardized functional analyses and correlate this with clinical assessment and inheritance pattern. Such correlation is important to determine whether functional data improves the accuracy of variant interpretation and likely mode of inheritance. Our data provide an evidence-based approach that functional characterization of ClC-1 variants improves clinical interpretation of their pathogenicity and inheritance pattern, and serve as reference for 34 previously unreported and 28 previously uncharacterized CLCN1 variants. In addition, we identify novel pathogenic mechanisms and find that variants that alter voltage dependence of activation cluster in the first half of the transmembrane domains and variants that yield no currents cluster in the second half of the transmembrane domain. None of the variants in the intracellular domains were associated with dominant functional features or dominant inheritance pattern of myotonia congenita. Our data help provide an initial estimate of the anticipated inheritance pattern based on the location of a novel variant and shows that systematic functional characterization can significantly refine the assessment of risk of an associated inheritance pattern and consequently the clinical and genetic counselling.

Indexed as

MyotoniaMyotonia CongenitaChloride ChannelsHumansMutationPhenotypeChloride Channelschloride channelClC-1CLCN1myotonia congenitaskeletal muscle channelopathy

Identifiers

PMID34529042
PMCPMC9014745
OpenAlexW3198922944

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.