Literature DB >> 19631632

Rapid identification of HBB gene mutations by high-resolution melting analysis.

Hung-Chang Shih1, Tze-Kiong Er, Tien-Jye Chang, Ya-Sian Chang, Ta-Chih Liu, Jan-Gowth Chang.   

Abstract

OBJECTIVE: This study was undertaken to identify HBB gene mutation. DESIGN AND METHODS: Herein we evaluated high-resolution melting analysis in the identification of HBB mutations.
RESULTS: We have successfully established a diagnostic strategy for identifying HBB gene mutations including c.-78A>G, c.-79A>G, c.2T>G, c.79_80insT, c.84_85insC, c.123_124insT, c.125_128delTCTT, c.130 G>T, c.170G>A, c.216_217ins A and c.316-197 C>T from wild-type DNA using HRM analysis. The results of HRM analysis were confirmed by direct DNA sequencing.
CONCLUSIONS: In summary, we report that HRM analysis is an appealing technique for the identification of HBB mutations. We also believe that HRM can be used as a method for prenatal diagnosis of beta-thalassemia.

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Year:  2009        PMID: 19631632     DOI: 10.1016/j.clinbiochem.2009.07.017

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  11 in total

1.  Scanning for α-Hemoglobin Variants by High-Resolution Melting Analysis.

Authors:  Walaiporn Yimniam; Sumalee Jindadamrongwech
Journal:  J Clin Lab Anal       Date:  2016-02-18       Impact factor: 2.352

2.  High-resolution melting analysis for prenatal diagnosis of beta-thalassemia in northern Thailand.

Authors:  Pimlak Charoenkwan; Supatra Sirichotiyakul; Arunee Phusua; Sudjai Suanta; Kanda Fanhchaksai; Rattika Sae-Tung; Torpong Sanguansermsri
Journal:  Int J Hematol       Date:  2017-08-08       Impact factor: 2.490

3.  Detection of β-globin Gene Mutations Among β-thalassaemia Carriers and Patients in Malaysia: Application of Multiplex Amplification Refractory Mutation System-Polymerase Chain Reaction.

Authors:  Syahzuwan Hassan; Rahimah Ahmad; Zubaidah Zakaria; Zefarina Zulkafli; Wan Zaidah Abdullah
Journal:  Malays J Med Sci       Date:  2013-01

Review 4.  Abnormal haemoglobins: detection & characterization.

Authors:  Henri Wajcman; Kamran Moradkhani
Journal:  Indian J Med Res       Date:  2011-10       Impact factor: 2.375

5.  Assessment of high resolution melt analysis feasibility for evaluation of beta-globin gene mutations as a reproducible, cost-efficient and fast alternative to the present conventional method.

Authors:  Mahboubeh Ramezanzadeh; Mansour Salehi; Rasoul Salehi
Journal:  Adv Biomed Res       Date:  2016-04-19

6.  Development of a High-Resolution Melting Approach for Scanning Beta Globin Gene Point Mutations in the Greek and Other Mediterranean Populations.

Authors:  Christos Chassanidis; Effrossyni Boutou; Ersi Voskaridou; Angeliki Balassopoulou
Journal:  PLoS One       Date:  2016-06-28       Impact factor: 3.240

7.  How to split a G-quadruplex for DNA detection: new insight into the formation of DNA split G-quadruplex.

Authors:  Jinbo Zhu; Libing Zhang; Shaojun Dong; Erkang Wang
Journal:  Chem Sci       Date:  2015-06-02       Impact factor: 9.825

8.  A novel gap-PCR with high resolution melting analysis for the detection of α-thalassaemia Southeast Asian and Filipino β°-thalassaemia deletion.

Authors:  Siew Leng Kho; Kek Heng Chua; Elizabeth George; Jin Ai Mary Anne Tan
Journal:  Sci Rep       Date:  2015-09-14       Impact factor: 4.379

9.  High resolution melting analysis: a rapid screening and typing tool for common β-thalassemia mutation in Chinese population.

Authors:  Min Lin; Ji-Wei Jiao; Xiu-Hui Zhan; Xiao-Fen Zhan; Mei-Chen Pan; Jun-Li Wang; Chun-Fang Wang; Tian-Yu Zhong; Qin Zhang; Xia Yu; Jiao-Ren Wu; Hui-Tian Yang; Fen Lin; Xin Tong; Hui Yang; Guang-Cai Zha; Qian Wang; Lei Zheng; Ying-Fang Wen; Li-Ye Yang
Journal:  PLoS One       Date:  2014-08-04       Impact factor: 3.240

10.  Rapid detection of pathological mutations and deletions of the haemoglobin beta gene (HBB) by High Resolution Melting (HRM) analysis and Gene Ratio Analysis Copy Enumeration PCR (GRACE-PCR).

Authors:  Andrew Turner; Jurgen Sasse; Aniko Varadi
Journal:  BMC Med Genet       Date:  2016-10-19       Impact factor: 2.103

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