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ArticleMolecular biology reports2025

A next-generation sequencing-based universal target panel and algorithm for one-stop detection of copy number alterations and single-nucleotide variations in the HBB gene cluster for rapid diagnosis of β-thalassemia.

Debashis Pal, Prosanto Kumar Chowdhury, Kaustav Nayek, Nidhan K Biswas, Subrata Das, Anupam Basu

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Article in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Debashis PalDepartment of Zoology, The University of Burdwan, Bardhaman, West Bengal, 713104, India.ORCID http://orcid.org/0000-0001-5440-3284
Prosanto Kumar ChowdhuryDepartment of Zoology, The University of Burdwan, Bardhaman, West Bengal, 713104, India.
Kaustav NayekDepartment of Pediatric Medicine, Burdwan Medical College and Hospital, Burdwan, West Bengal, India.
Nidhan K BiswasNational Institute of Biomedical Genomics, Kalyani, West Bengal, India.
Subrata DasNational Institute of Biomedical Genomics, Kalyani, West Bengal, India.
Anupam BasuDepartment of Zoology, The University of Burdwan, Bardhaman, West Bengal, 713104, India. abasu@zoo.buruniv.ac.in.ORCID http://orcid.org/0000-0002-0608-9267

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR26461/MED/12/821/2018
6 · The paper itself

Abstract

backgroundThis study aimed to develop and validate a targeted next-generation sequencing (NGS) panel along with a data analysis algorithm capable of detecting single-nucleotide variants (SNVs) and copy number variations (CNVs) within the beta-globin gene cluster. The aim was to reduce the turnaround time in conventional genotyping methods and provide a rapid and comprehensive solution for prenatal diagnosis, carrier screening, and genotyping of β-thalassemia patients. METHODS AND

resultsWe devised a targeted NGS panel spanning an 80.4 kb region on chromosome 11, encompassing the beta-globin gene cluster and 5' locus control region. We also developed an advanced data analysis algorithm consisting of variant calling and depth plot analysis that facilitates simultaneous detection of SNVs and CNVs in a single run. The test panel and algorithm were validated with 14 in-house β-thalassemia carrier/patient samples and cross-checked against the HbVar database. We identified seven pathogenic SNVs and five CNVs within the beta-globin gene cluster in various combinations, such as heterozygous, homozygous, and compound heterozygous conditions. Additionally, the coordinates of 169 rare deletions and 11 fusion mutations reported in the HbVar database were checked to verify the theoretical ability of our developed gene panel to detect all the CNVs within the target region.

conclusionThe developed panel and NGS technology can detect both SNVs and CNVs in a single run and can also be utilized for prenatal diagnosis and carrier screening for hemoglobinopathies, underscoring its versatility and clinical utility.

Indexed as

beta-Globinsbeta-ThalassemiaDNA Copy Number VariationsHigh-Throughput Nucleotide SequencingAlgorithmsFemaleGenotypeHemoglobinsHumansMultigene FamilyPolymorphism, Single NucleotidePrenatal Diagnosisbeta-Globinshemoglobin BHemoglobinsCNVKitCNVsDepth plotSNVsTarget NGSβ-thalassemia

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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.