Literature DB >> 18925516

High-resolution melting analysis for detection of MYH9 mutations.

Dana Provaznikova1, Tereza Kumstyrova, Roman Kotlin, Peter Salaj, Vaclav Matoska, Ingrid Hrachovinova, Simon Rittich.   

Abstract

May-Hegglin anomaly (MHA), Sebastian (SBS), Fechtner (FTNS) and Epstein (EPS) syndromes are rare autosomal dominant disorders with giant platelets and thrombocytopenia. Other manifestations of these disorders are combinations of the presence of granulocyte inclusions and deafness, cataracts and renal failure. Currently, MHA, SBS, FTNS and EPS are considered to be distinct clinical manifestation of a single illness caused by mutations of the MYH9 gene encoding the heavy chain of non-muscle myosin IIA (NMMHC-IIA). As the MYH9 gene has a high number of exons, it takes much time and material to use this method for the detection of MYH9 mutations. Recently, a new method has been introduced for scanning DNA mutations without the need for direct sequencing: high-resolution melting analysis (HRMA). Mutation detection with HRMA relies on the intercalation of the specific dye (LC Green plus) in double-strand DNA and fluorescence monitoring of PCR product melting profiles. In our study, we optimized the conditions and used HRMA for rapid screening of mutations in all MYH9 exons in seven affected individuals from four unrelated families with suspected MYH9 disorders. Samples identified by HRMA as positive for the mutation were analysed by direct sequencing. HRMA saved us over 85% of redundant sequencing.

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Year:  2008        PMID: 18925516     DOI: 10.1080/09537100802140013

Source DB:  PubMed          Journal:  Platelets        ISSN: 0953-7104            Impact factor:   3.862


  2 in total

1.  Development of a rapid HRM genotyping method for detection of dog-derived Giardia lamblia.

Authors:  Liping Tan; Xingang Yu; Auwalu Yusuf Abdullahi; Sheng Wu; Guochao Zheng; Wei Hu; Meiran Song; Zhen Wang; Biao Jiang; Guoqing Li
Journal:  Parasitol Res       Date:  2015-07-28       Impact factor: 2.289

2.  Is high resolution melting analysis (HRMA) accurate for detection of human disease-associated mutations? A meta analysis.

Authors:  Bing-Sheng Li; Xin-Ying Wang; Feng-Li Ma; Bo Jiang; Xiao-Xiao Song; An-Gao Xu
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

  2 in total

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