1. Rapid diagnosis of spinal muscular atrophy using high-resolution melting analysis
- Author
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Zhi Ying Wu, Wan-Jin Chen, Wan Juan Dong, Ning Wang, Xiao Zhen Lin, Shen Xing Murong, and Min Ting Lin
- Subjects
lcsh:Internal medicine ,lcsh:QH426-470 ,DNA Mutational Analysis ,SMN1 ,Biology ,Polymerase Chain Reaction ,High Resolution Melt ,law.invention ,Muscular Atrophy, Spinal ,law ,Genotype ,Genetics ,medicine ,Humans ,Genetics(clinical) ,lcsh:RC31-1245 ,Genotyping ,Genetics (clinical) ,Polymerase chain reaction ,Hybridization probe ,SMN Complex Proteins ,Spinal muscular atrophy ,Exons ,medicine.disease ,SMA ,Molecular biology ,Survival of Motor Neuron 1 Protein ,Survival of Motor Neuron 2 Protein ,lcsh:Genetics ,DNA Probes ,Research Article - Abstract
Background Spinal muscular atrophy (SMA) is an autosomal recessive hereditary disorder caused by mutations of the survival motor neuron 1 (SMN1) gene. Recently, high-resolution DNA melting analysis (HRMA) with saturation LC Green dyes has become a powerful post-PCR technique for genotyping or mutation scanning. So far, no studies have applied HRMA to the molecular analysis of SMA. Methods The exon 7 and the flanking area of the SMN1 and SMN2 genes of 55 SMA patients and 46 unrelated normal individuals were amplified with asymmetric PCR with unlabeled probe and symmetric PCR without probe, respectively. The saturation LC Green dyes were added to the PCR system. The PCR products were loaded onto the LightScanner system and were melted from 60°C to 95°C slowly. The melting curves were acquired and analyzed by the LightScanner software. Results Three types of melting curves that correlated with the presumed genotype of SMA patients and controls were clearly separated on the HRMA chromatogram with the unlabeled probe. The 55 SMA patients and 46 non-SMA controls were identified with HRMA with a 100% clinical sensitivity. Conclusion The HRMA with saturation LC Green dyes and unlabeled probe appears to be a suitable, alternative method for the diagnosis of SMA, with high sensitivity and specificity.
- Published
- 2008