Abstract
Purpose: Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) are similar genetic disorders whose patterns of mutation and disease phenotypes might be expected to show differences among different countries. We analyzed multiplex ligation-dependent probe amplification (MLPA) data in a large number of Korean patients with DMD/BMD. Materials and Methods: We obtained 130 positive MLPA results (86 DMD, 27 BMD, and 17 female carriers) from 272 candidates (237 clinically suspected patients and 35 possible female carriers) who took part in this study. We analyzed the mutation patterns among 113 patients diagnosed by MLPA and calculated deletion/duplication percentages from a total of 128 patients, including 15 patients who were diagnosed using methods other than MLPA. We also analyzed hot spot locations among the 130 MLPA-pos-itive results. Results: Most mutations were detected in a central hot spot region between exons 44 and 55 (80 samples, 60.6%). Unlike previous reports, a second frequently observed hot spot near the 5’-end was not distinctive. MLPA detected deletions in specific exons in 92 patients with DMD/BMD (71.8%) and duplications in 21 patients (16.4%). Conclusion: Our MLPA study of a large number of Korean patients with DMD/BMD identified the most frequent mutation hot spot, as well as a unique hot spot pattern. DMD gene mutation patterns do not appear to show significant ethnic differences.
Original language | English |
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Pages (from-to) | 613-618 |
Number of pages | 6 |
Journal | Yonsei medical journal |
Volume | 58 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2017 May |
Bibliographical note
Funding Information:We thank Sun-Mi Cho, M.D. of Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine for revising the Methods section of this article. This study was supported by a Rehabilitation Institute of Neuromuscular Disease, Yonsei University College of Medicine research grant.
Publisher Copyright:
© Yonsei University College of Medicine 2017.
All Science Journal Classification (ASJC) codes
- Medicine(all)