Distribution of dystrophin gene deletions in a Chinese population
Yuanyuan Li, Zhuo Liu, Shengrong Ouyang, Yanli Zhu, Liwen Wang, Jianxin Wu
Abstract
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Yuanyuan Li, Zhuo Liu, Shengrong Ouyang, Yanli Zhu, Liwen Wang, Jianxin Wu
Abstract
Open-access reader
OBJECTIVE: To describe the deletion patterns and distribution characteristics of the dystrophin gene in a Chinese population of patients with Duchenne muscular dystrophy (DMD) or Becker muscular dystrophy (BMD). METHODS: Patients with DMD/BMD were recruited. Deletions in 19 exons of the dystrophin gene were evaluated using accurate multiplex polymerase chain reaction (PCR). RESULT: Multiplex PCR identified deletions in 238/401 (59.4%) patients with DMD/BMD. Of these, 196 (82.4%) were in the distal hotspot, 32 (13.4%) were in the proximal hotspot, five (2.1%) were in both regions and five (2.1%) were in neither hotspot. Deletions were classified into 54 patterns. Exon 49 was the most frequently deleted. The reading frame rule was upheld for 91.9% of cases. CONCLUSION: Accurate multiplex PCR for 19 exons is an effective diagnostic tool.
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OBJECTIVE: To describe the deletion patterns and distribution characteristics of the dystrophin gene in a Chinese population of patients with Duchenne muscular dystrophy (DMD) or Becker muscular dystrophy (BMD). METHODS: Patients with DMD/BMD were recruited. Deletions in 19 exons of the dystrophin gene were evaluated using accurate multiplex polymerase chain reaction (PCR). RESULT: Multiplex PCR identified deletions in 238/401 (59.4%) patients with DMD/BMD. Of these, 196 (82.4%) were in the distal hotspot, 32 (13.4%) were in the proximal hotspot, five (2.1%) were in both regions and five (2.1%) were in neither hotspot. Deletions were classified into 54 patterns. Exon 49 was the most frequently deleted. The reading frame rule was upheld for 91.9% of cases. CONCLUSION: Accurate multiplex PCR for 19 exons is an effective diagnostic tool.
Key concepts: Medicine, Dystrophin, Gene, Genetics, Distribution (mathematics), Population, Computational biology, Bioinformatics