RNA sequencing facilitates the identification of genetic causes of Duchenne muscular dystrophy and proposes a stepwise DMD diagnostic procedure.

Gene

Children's Medical Center, Peking University First Hospital, Beijing 100034, China; Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China. Electronic address:

Published: February 2025

AI Article Synopsis

  • A percentage of Duchenne muscular dystrophy (DMD) patients do not receive a genetic diagnosis after standard testing, making accurate identification important for treatment and counseling.
  • The study applied RNA sequencing to three DMD patients, identifying a deep intronic variant in one and an abnormal splicing event in another.
  • Findings led to the proposal of a detailed diagnostic procedure for DMD, highlighting RNA sequencing as a valuable tool for uncovering genetic causes that traditional methods might miss.

Article Abstract

A certain percentage of Duchenne muscular dystrophy (DMD) patients remain genetically undiagnosed after routine genetic testing. Accurate genetic diagnosis is crucial for determining eligibility for mutation-specific therapies and providing relatives with reliable genetic and reproductive counselling. In this study, we utilized RNA sequencing to achieve precise genetic diagnoses in three DMD patients. We identified a deep intronic variant, NC_000023.11:g. 32644691A>C (NM_004006.3:c.1149+273T>G), responsible for creating a novel exon in one patient. An abnormal splicing event was also observed in the second patient. Additionally, RNA sequencing of the pathological muscle samples revealed differentially expressed genes. Based on these findings, we proposed a comprehensive, stepwise diagnostic procedure for DMD. Our study suggests that RNA sequencing can be instrumental in diagnosing disease-causing intronic variants, and the proposed procedure aims to enhance the clarity and accuracy of genetic diagnoses in DMD.

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Source
http://dx.doi.org/10.1016/j.gene.2024.149089DOI Listing

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