Literature DB >> 22995429

High-resolution melting: applications in genetic disorders.

Tze-Kiong Er1, Jan-Gowth Chang.   

Abstract

High-resolution melting (HRM) analysis is a feasible and powerful method for mutation scanning of sequence variants. Denatured doubled-stranded DNA can be detected in fluorescence changes by increasing the melting temperature and wild-type and heterozygous samples can be easily differentiated in the melting plots. HRM analysis represents the next generation of mutation-scanning technology and offers considerable time and cost savings compared to other screening methods. HRM analysis is a closed-tube method, indicating that polymerase chain reaction amplification and subsequent analysis are sequentially performed in the well, making HRM analysis more convenient than other scanning methodologies. Taken together, HRM analysis can be used for high-throughput mutation screening for research, as well as for molecular diagnostic and clinical purposes. This review summarizes the effectiveness of HRM analysis in the diagnosis of autosomal recessive, dominant, and X-linked genetic disorders. Notably, we will also discuss the limitations of HRM analysis and how to overcome them.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Mesh:

Year:  2012        PMID: 22995429     DOI: 10.1016/j.cca.2012.09.012

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  25 in total

1.  Development of Novel High-Resolution Melting-Based Assays for Genotyping Two Alu Insertion Polymorphisms (FXIIIB and PV92).

Authors:  Yeimy González-Giraldo; Marisol Rodríguez-Dueñas; Diego A Forero
Journal:  Mol Biotechnol       Date:  2016-03       Impact factor: 2.695

2.  Enhanced primer selection and synthetic amplicon templates optimize high-resolution melting analysis of single-nucleotide polymorphisms in a large population.

Authors:  Carol M Bruzzone; Patrick S Tawadros; Lisa A Boardman; Clifford J Steer
Journal:  Genet Test Mol Biomarkers       Date:  2013-06-22

3.  Validating the Sensitivity of High-Resolution Melting Analysis for JAK2 V617F Mutation in the Clinical Setting.

Authors:  Chien-Yu Lin; Cheng-Mao Ho; Gevorg Tamamyan; Shu-Fen Yang; Ching-Tien Peng; Jan-Gowth Chang
Journal:  J Clin Lab Anal       Date:  2016-05-12       Impact factor: 2.352

4.  Metabolic Imaging Phenotype Using Radiomics of [18F]FDG PET/CT Associated with Genetic Alterations of Colorectal Cancer.

Authors:  Shang-Wen Chen; Wei-Chih Shen; William Tzu-Liang Chen; Te-Chun Hsieh; Kuo-Yang Yen; Jan-Gowth Chang; Chia-Hung Kao
Journal:  Mol Imaging Biol       Date:  2019-02       Impact factor: 3.488

5.  High resolution melting for F9 gene mutation analysis in patients with haemophilia B.

Authors:  Roberta Salviato; Donata Belvini; Paolo Radossi; Giuseppe Tagariello
Journal:  Blood Transfus       Date:  2018-02-28       Impact factor: 3.443

6.  Developing and Evaluating the HRM Technique for Identifying Cytochrome P450 2D6 Polymorphisms.

Authors:  Hsiu-Chin Lu; Ya-Sian Chang; Chun-Chi Chang; Ching-Hsiung Lin; Jan-Gowth Chang
Journal:  J Clin Lab Anal       Date:  2014-05-05       Impact factor: 2.352

7.  High Resolution Melting Analysis is Very Useful to Identify BRCA1 c.4964_4982del19 (rs80359876) Founder Calabrian Pathogenic Variant on Peripheral Blood and Buccal Swab DNA.

Authors:  Angelo Minucci; Maria De Bonis; Elisa De Paolis; Leonarda Gentile; Concetta Santonocito; Paola Concolino; Flavio Mignone; Ettore Capoluongo
Journal:  Mol Diagn Ther       Date:  2017-04       Impact factor: 4.074

8.  Development and validation of a rapid method for genotyping three P-selectin gene polymorphisms based on high resolution melting analysis.

Authors:  Andrea Ceri; Marina Pavic; Ivana Horvat; Margareta Radic Antolic; Renata Zadro
Journal:  J Clin Lab Anal       Date:  2018-10-23       Impact factor: 2.352

9.  High-resolution melting analysis (HRM) for mutational screening of Dnajc17 gene in patients affected by thyroid dysgenesis.

Authors:  I C Nettore; S Desiderio; E De Nisco; V Cacace; L Albano; N Improda; P Ungaro; M Salerno; A Colao; P E Macchia
Journal:  J Endocrinol Invest       Date:  2017-11-20       Impact factor: 4.256

10.  High-resolution melt analysis to detect sequence variations in highly homologous gene regions: application to CYP2B6.

Authors:  Greyson P Twist; Roger Gaedigk; J Steven Leeder; Andrea Gaedigk
Journal:  Pharmacogenomics       Date:  2013-06       Impact factor: 2.533

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