Evidence map›Paper›PMID 41501410›Full record

ArticlePediatric research2026

Variant burden and severity of cardiomyopathy in patients with DMD-related Duchenne muscular dystrophy.

Gabrielle C Geddes, Stephanie M Ware, Tae-Hwi Schwantes-An, Marco A Abreu, John J Parent, Conner C Earl, Jonathan H Soslow, Larry W Markham

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Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Gabrielle C GeddesDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA. egeddes@iu.edu.
Stephanie M WareDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
Tae-Hwi Schwantes-AnDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
Marco A AbreuDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
John J ParentRiley Heart Center, Riley Hospital for Children, Indianapolis, IN, USA.
Conner C EarlDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.
Jonathan H SoslowDivision of Pediatric Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Larry W MarkhamRiley Heart Center, Riley Hospital for Children, Indianapolis, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was designed to identify genes for further study as modifiers of the severity of cardiomyopathy in DMD-related Duchenne Muscular Dystrophy (DMD).

methodsWe evaluated genome sequencing results in a well-phenotyped DMD cohort with severe cardiomyopathy against those with less severe cardiomyopathy. Using combined annotation-dependent depletion variant annotation to look at variant burden, we created a difference between group mean (DBGM) summative C-Scores by gene. We completed analyses on three groups. For each analysis, we normalized DBGM summative C-Score and determined which genes had a value > three standard deviations from the mean in all three analyses.

resultsThere were 54 DMD males in this analysis. 18 individuals (33%) had severe cardiomyopathy and 36 individuals (67%) had less severe cardiomyopathy. Nine genes were identified as possible cardiomyopathy severity modifiers: ANKLE1, ESRRA, FRAS1, GEMIN4, GXYLT1, MTCH2, PKD1L2, PRSS2 and QRFPR.

conclusionDBGM summative C-Scores in well-phenotyped groups are a feasible exploratory method to identify genetic targets for additional study. There is preliminary evidence from this and other studies suggesting further evaluation of ESRRA, GEMIN4, and MTCH2 as modifiers of cardiomyopathy severity could advance understanding of DMD cardiomyopathy progression. IMPACT: This article identifies possible genetic modifiers of DMD cardiomyopathy severity via a novel method of looking at variant burden between groups. This adds to the existing literature by providing new evidence for modifier pathway targets for possible therapeutic targets or drug repurposing in a rare genetic disorder.

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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.