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

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...

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Main Authors: Chengcheng Li, Jackson Wilborn, Sara Pittman, Jil Daw, Jorge Alonso-Pérez, Jordi Díaz-Manera, Conrad C. Weihl, Gabe Haller
Format: Article
Language:English
Published: American Society for Clinical Investigation 2023-06-01
Series:The Journal of Clinical Investigation
Subjects:
Online Access:https://doi.org/10.1172/JCI168156
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author Chengcheng Li
Jackson Wilborn
Sara Pittman
Jil Daw
Jorge Alonso-Pérez
Jordi Díaz-Manera
Conrad C. Weihl
Gabe Haller
author_facet Chengcheng Li
Jackson Wilborn
Sara Pittman
Jil Daw
Jorge Alonso-Pérez
Jordi Díaz-Manera
Conrad C. Weihl
Gabe Haller
author_sort Chengcheng Li
collection DOAJ
description 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.
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spelling doaj.art-d80b71611c5f4cd7b0e9659e8d6e56842023-11-07T16:20:29ZengAmerican Society for Clinical InvestigationThe Journal of Clinical Investigation1558-82382023-06-0113312Comprehensive functional characterization of SGCB coding variants predicts pathogenicity in limb-girdle muscular dystrophy type R4/2EChengcheng LiJackson WilbornSara PittmanJil DawJorge Alonso-PérezJordi Díaz-ManeraConrad C. WeihlGabe HallerGenetic 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.https://doi.org/10.1172/JCI168156GeneticsMuscle biology
spellingShingle Chengcheng Li
Jackson Wilborn
Sara Pittman
Jil Daw
Jorge Alonso-Pérez
Jordi Díaz-Manera
Conrad C. Weihl
Gabe Haller
Comprehensive functional characterization of SGCB coding variants predicts pathogenicity in limb-girdle muscular dystrophy type R4/2E
The Journal of Clinical Investigation
Genetics
Muscle biology
title Comprehensive functional characterization of SGCB coding variants predicts pathogenicity in limb-girdle muscular dystrophy type R4/2E
title_full Comprehensive functional characterization of SGCB coding variants predicts pathogenicity in limb-girdle muscular dystrophy type R4/2E
title_fullStr Comprehensive functional characterization of SGCB coding variants predicts pathogenicity in limb-girdle muscular dystrophy type R4/2E
title_full_unstemmed Comprehensive functional characterization of SGCB coding variants predicts pathogenicity in limb-girdle muscular dystrophy type R4/2E
title_short Comprehensive functional characterization of SGCB coding variants predicts pathogenicity in limb-girdle muscular dystrophy type R4/2E
title_sort comprehensive functional characterization of sgcb coding variants predicts pathogenicity in limb girdle muscular dystrophy type r4 2e
topic Genetics
Muscle biology
url https://doi.org/10.1172/JCI168156
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