Evidence map›Paper›PMID 37317968›Full record

ArticleThe Journal of clinical investigation2023

Comprehensive functional characterization of SGCB coding variants predicts pathogenicity in limb-girdle muscular dystrophy type R4/2E.

Chengcheng Li, Jackson Wilborn, Sara Pittman, Jil Daw, Jorge Alonso-Pérez, Jordi Díaz-Manera, Conrad C Weihl, Gabe Haller

Open access · goldAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. MaveMD: A functional data resource for genomic medicine.medRxiv : the preprint server for health sciences · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Removing uncertainty from variants of unknown significance.The Journal of clinical investigation · 2023
    Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 3 countries.

Chengcheng LiDepartment of Neurology and.
Jackson WilbornDepartment of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Sara PittmanDepartment of Neurology and.
Jil DawDepartment of Neurology and.
Jorge Alonso-PérezNeuromuscular Disease Unit, Neurology Department, Hospital Universitario Nuestra Señora de Candelaria, Fundación Canaria Instituto de Investigación Sanitaria de Canarias, Tenerife, Spain.
Jordi Díaz-ManeraJohn Walton Muscular Dystrophy Research Center, Newcastle University, Newcastle Upon Tyne, United Kingdom.
Conrad C WeihlDepartment of Neurology and.
Gabe HallerDepartment of Neurology and.
Washington University in St. Louis · USHospital Universitario de Canarias · ESMuscular Dystrophy UK · GB

Funding

Clinical and Translational Studies in Muscle DiseaseK24AR073317 · NIAMS · WASHINGTON UNIVERSITY · PI CONRAD C WEIHL · 2018 to 2026
$1.6M
Massively-parallel functional interrogation of genetic variation in LGMD-associated sarcoglycan genesR21AR078942 · NIAMS · WASHINGTON UNIVERSITY · PI HALLER, GABRIEL E · 2021 to 2022
$379k
NIAMS NIH HHS K24 AR073317NIAMS NIH HHS R21 AR078942
6 · The paper itself

Abstract

Genetic testing is essential for patients with a suspected hereditary myopathy. More than 50% of patients clinically diagnosed with a myopathy carry a variant of unknown significance in a myopathy gene, often leaving them without a genetic diagnosis. Limb-girdle muscular dystrophy (LGMD) type R4/2E is caused by mutations in β-sarcoglycan (SGCB). Together, β-, α-, γ-, and δ-sarcoglycan form a 4-protein transmembrane complex (SGC) that localizes to the sarcolemma. Biallelic loss-of-function mutations in any subunit can lead to LGMD. To provide functional evidence for the pathogenicity of missense variants, we performed deep mutational scanning of SGCB and assessed SGC cell surface localization for all 6,340 possible amino acid changes. Variant functional scores were bimodally distributed and perfectly predicted pathogenicity of known variants. Variants with less severe functional scores more often appeared in patients with slower disease progression, implying a relationship between variant function and disease severity. Amino acid positions intolerant to variation mapped to points of predicted SGC interactions, validated in silico structural models, and enabled accurate prediction of pathogenic variants in other SGC genes. These results will be useful for clinical interpretation of SGCB variants and improving diagnosis of LGMD; we hope they enable wider use of potentially life-saving gene therapy.

Indexed as

Muscular Dystrophies, Limb-GirdleSarcoglycanopathiesAmino AcidsHumansVirulenceAmino AcidsGeneticsGenetic variationMuscle BiologyNeuromuscular disease

Identifiers

PMID37317968
PMCPMC10266784
OpenAlexW4380730813

What OpenQuestion holds

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LicenceCC BY
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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.