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Updated: May 9, 2026

Measurements of Motor Function and Other Clinical Outcome Parameters in Ambulant Children with Duchenne Muscular Dystrophy
09:18

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Published on: January 12, 2019

Carrier detection in Duchenne muscular dystrophy using molecular methods.

S M Sakthivel Murugan1, C Arthi, N Thilothammal

  • 1Sundaram Medical Foundation, Chennai, India.

The Indian Journal of Medical Research
|July 16, 2013
PubMed
Summary

Duchenne muscular dystrophy (DMD) carrier analysis is complex. Multiplex ligation-dependent probe amplification (MLPA) effectively identifies carriers when mutations are known, revealing a high de novo mutation rate.

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Area of Science:

  • Genetics
  • Molecular Biology
  • Neuromuscular Disorders

Background:

  • Duchenne and Becker muscular dystrophies are X-linked disorders caused by mutations in the DMD gene.
  • Carrier analysis is challenging due to X chromosome heterozygosity.
  • Previous methods include quantitative multiplex PCR (qmPCR) and Southern blot.

Purpose of the Study:

  • To determine carrier status in probable carriers from families with identified DMD gene deletions or duplications.
  • To evaluate the utility of multiplex ligation-dependent probe amplification (MLPA) for DMD carrier analysis.

Main Methods:

  • 150 probable carriers from 110 families with known DMD mutations were analyzed.
  • Multiplex ligation-dependent probe amplification (MLPA) assessed copy number changes.
  • Direct sequencing was used for a point mutation case.

Main Results:

  • 49 out of 150 probable carriers were identified as carriers.
  • The rate of de novo mutations was significantly higher (71%) in sporadic cases compared to hereditary cases (29%).
  • This high de novo rate was more pronounced in deletion mutations than duplications.

Conclusions:

  • MLPA is a valuable tool for detecting copy number changes in DMD carriers.
  • MLPA is recommended as the method of choice for DMD carrier analysis when the causative mutation is identified in the affected child.
  • Further investigation into unidentified mutations could clarify observed de novo mutation rates.