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DOI 10.1097/md.0000000000010426

Медицинская библиотека · Medicine · 2018

STARD-rapid screening for the 6 most common G6PD gene mutations in the Chinese population using the amplification refractory mutation system combined with melting curve analysis.

Fan Zuqian, Weng Xunjin, Huang Guosheng, Pan Zhijian, Long Zhao, Fan Qiongying, Tang Weijun, Fang Lin, Long Ju, Hu Tian, Huang Yongxia, Sun Lei

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Аннотация

Dot-blot hybridization and high-resolution melting curve methods are used to detect G6PD gene mutations; however, the performance and throughput limitations of these methods hinder their use for screening large populations. For simple screening, we developed a novel approach called "Amplification Refractory Mutation System combined with Melting Curve Analysis (ARMS-MC)," which enables rapid and batch-based detection of the 6 most common G6PD mutations.In this method, we established 4 PCR reaction systems that can be used to detect the 6 most common G6PD mutations (c.95A>G, c.392G>T, c.871G>A, c.1024C>T, c.1376G>T, and c.1388G>A) in the Chinese population.The ARMS-MC method was evaluated with 174 cases of clinical G6PD-deficient samples, and the results were verified by direct sequencing at G6PD gene exons. The results showed that 170 samples had ≥1 of the 6 mutations, which accounted for 97.70% of all mutations. These results were consistent with the results of direct sequencing with 100% accuracy and specificity. Sequencing validation revealed other mutations in the 4 samples in which no mutation was detected by the ARMS-MC method.ARMS-MC provides a rapid, simple, inexpensive, and accurate screening method for detecting the most common G6PD mutations in Chinese people.

Для цитирования: Fan Zuqian, Weng Xunjin, Huang Guosheng, Pan Zhijian, Long Zhao, Fan Qiongying, Tang Weijun, Fang Lin, Long Ju, Hu Tian, Huang Yongxia, Sun Lei. STARD-rapid screening for the 6 most common G6PD gene mutations in the Chinese population using the amplification refractory mutation system combined with melting curve analysis.. Medicine. 2018. DOI: 10.1097/md.0000000000010426.

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