Evidence map›Paper›PMID 29295702›Full record

ArticleBMC genetics2018

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.

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 and 16 more

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Article in BMC genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors at 5 institutions in 3 countries.

Md Tarikul IslamLaboratory of Genetics and Genomics, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
Suprovath Kumar SarkarLaboratory of Genetics and Genomics, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
Nusrat SultanaLaboratory of Genetics and Genomics, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
Mst Noorjahan BegumLaboratory of Genetics and Genomics, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
Golam Sarower BhuyanInfectious Diseases Laboratory, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
Shezote TalukderLaboratory of Genetics and Genomics, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
A K M MuraduzzamanDepartment of Virology, Institute of Epidemiology, Disease Control and Research, Mohakhali, Dhaka, Bangladesh.
Md AlauddinLaboratory of Genetics and Genomics, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
Mohammad Sazzadul IslamInfectious Diseases Laboratory, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
Pritha Promita BiswasLaboratory of Genetics and Genomics, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
Aparna BiswasLaboratory of Genetics and Genomics, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
Syeda Kashfi QadriDepartment of Paediatric Medicine, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, Singapore.
Tahmina ShirinDepartment of Virology, Institute of Epidemiology, Disease Control and Research, Mohakhali, Dhaka, Bangladesh.
Bilquis BanuDepartment of Biochemistry and Molecular Biology, Dhaka Shishu Hospital, Dhaka, Bangladesh.
Salma SadyaDepartment of Biochemistry and Molecular Biology, Dhaka Shishu Hospital, Dhaka, Bangladesh.
Manzoor HussainDepartment of Biochemistry and Molecular Biology, Dhaka Shishu Hospital, Dhaka, Bangladesh.
Golam SarwardiDepartment of Biochemistry and Molecular Biology, Dhaka Shishu Hospital, Dhaka, Bangladesh.
Waqar Ahmed KhanDepartment of Biochemistry and Molecular Biology, Dhaka Shishu Hospital, Dhaka, Bangladesh.
Mohammad Abdul MannanDepartment of Neonatology, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh.
Hossain Uddin ShekharDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
Emran Kabir ChowdhuryDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
Abu Ashfaqur SajibDepartment of Genetic Engineering & Biotechnology, University of Dhaka, Dhaka, Bangladesh.
Sharif AkhteruzzamanDepartment of Genetic Engineering & Biotechnology, University of Dhaka, Dhaka, Bangladesh.
Syed Saleheen QadriLaboratory of Genetics and Genomics, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
Firdausi QadriLaboratory of Genetics and Genomics, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh.
Kaiissar MannoorLaboratory of Genetics and Genomics, Institute for Developing Science and Health Initiatives, Mohakhali, Dhaka, Bangladesh. kaiissar@ideshi.org.ORCID 0000-0002-2394-0447
Bangladesh Institute of Development Studies · BDBangladesh Shishu (Children) Hospital & Institute · BDUniversity of Dhaka · BDInstitute of Epidemiology, Disease Control and Research · BDBangladesh Medical University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBangladesh 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.

resultsOur 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.

conclusionsTargeting 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.

Indexed as

AdolescentBangladeshbeta-Globinsbeta-ThalassemiaChildChild, PreschoolGenetic Carrier ScreeningHemoglobin EHumansInfantMutationNucleic Acid Hybridizationbeta-GlobinsHemoglobin EBeta-globin geneBeta-thalassemiaCarrier screeningHigh resolution melting curveMutational hot-spot

Identifiers

PMID29295702
PMCPMC5751541
OpenAlexW2781571673

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.