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High resolution melting curve analysis targeting the HBB gene mutational hot-spot offers a reliable screening approach for all common as well as most of the rare beta-globin gene mutations in…

Overview of attention for article published in BMC Genomic Data, January 2018
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Title
High resolution melting curve analysis targeting the HBB gene mutational hot-spot offers a reliable screening approach for all common as well as most of the rare beta-globin gene mutations in Bangladesh
Published in
BMC Genomic Data, January 2018
DOI 10.1186/s12863-017-0594-3
Pubmed ID
Authors

Md Tarikul Islam, Suprovath Kumar Sarkar, Nusrat Sultana, Mst. Noorjahan Begum, Golam Sarower Bhuyan, Shezote Talukder, A. K. M. Muraduzzaman, Md Alauddin, Mohammad Sazzadul Islam, Pritha Promita Biswas, Aparna Biswas, Syeda Kashfi Qadri, Tahmina Shirin, Bilquis Banu, Salma Sadya, Manzoor Hussain, Golam Sarwardi, Waqar Ahmed Khan, Mohammad Abdul Mannan, Hossain Uddin Shekhar, Emran Kabir Chowdhury, Abu Ashfaqur Sajib, Sharif Akhteruzzaman, Syed Saleheen Qadri, Firdausi Qadri, Kaiissar Mannoor

Abstract

Bangladesh lies in the global thalassemia belt, which has a defined mutational hot-spot in the beta-globin gene. The high carrier frequencies of beta-thalassemia trait and hemoglobin E-trait in Bangladesh necessitate a reliable DNA-based carrier screening approach that could supplement the use of hematological and electrophoretic indices to overcome the barriers of carrier screening. With this view in mind, the study aimed to establish a high resolution melting (HRM) curve-based rapid and reliable mutation screening method targeting the mutational hot-spot of South Asian and Southeast Asian countries that encompasses exon-1 (c.1 - c.92), intron-1 (c.92 + 1 - c.92 + 130) and a portion of exon-2 (c.93 - c.217) of the HBB gene which harbors more than 95% of mutant alleles responsible for beta-thalassemia in Bangladesh. Our HRM approach could successfully differentiate ten beta-globin gene mutations, namely c.79G > A, c.92 + 5G > C, c.126_129delCTTT, c.27_28insG, c.46delT, c.47G > A, c.92G > C, c.92 + 130G > C, c.126delC and c.135delC in heterozygous states from the wild type alleles, implying the significance of the approach for carrier screening as the first three of these mutations account for ~85% of total mutant alleles in Bangladesh. Moreover, different combinations of compound heterozygous mutations were found to generate melt curves that were distinct from the wild type alleles and from one another. Based on the findings, sixteen reference samples were run in parallel to 41 unknown specimens to perform direct genotyping of the beta-thalassemia specimens using HRM. The HRM-based genotyping of the unknown specimens showed 100% consistency with the sequencing result. Targeting the mutational hot-spot, the HRM approach could be successfully applied for screening of beta-thalassemia carriers in Bangladesh as well as in other countries of South Asia and Southeast Asia. The approach could be a useful supplement of hematological and electrophortic indices in order to avoid false positive and false negative results.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 21%
Researcher 5 9%
Student > Bachelor 4 8%
Student > Ph. D. Student 4 8%
Other 3 6%
Other 4 8%
Unknown 22 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 19%
Medicine and Dentistry 9 17%
Social Sciences 2 4%
Environmental Science 1 2%
Nursing and Health Professions 1 2%
Other 4 8%
Unknown 26 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 January 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from BMC Genomic Data
#861
of 1,204 outputs
Outputs of similar age
#343,600
of 449,549 outputs
Outputs of similar age from BMC Genomic Data
#13
of 24 outputs
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So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.