ArticleInternational journal of molecular sciences2022
A Novel Tool for the Analysis and Detection of Copy Number Variants Associated with Haemoglobinopathies.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Mapping Current and Emerging Laboratory Techniques for Haemoglobinopathy Carrier Detection and Prevention: A Narrative Review from the HELIOS Action.International journal of molecular sciences · 2026Review
- 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.Molecular biology reports · 2025Article
- Current research status of third-generation sequencing technology in thalassemia detection.Frontiers in pediatrics · 2025Review
- Global Globin Network and adopting genomic variant database requirements for thalassemia.Database : the journal of biological databases and curation · 2024Article
- IthaPhen: An Interactive Database of Genotype-Phenotype Data for Hemoglobinopathies.HemaSphere · 2023Article
- Case report: Long-read sequencing identified a novel 14.9-kb deletion of the α-globin gene locus in a family with α-thalassemia in China.Frontiers in genetics · 2023Article
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Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
Abstract
Several types of haemoglobinopathies are caused by copy number variants (CNVs). While diagnosis is often based on haematological and biochemical parameters, a definitive diagnosis requires molecular DNA analysis. In some cases, the molecular characterisation of large deletions/duplications is challenging and inconclusive and often requires the use of specific diagnostic procedures, such as multiplex ligation-dependent probe amplification (MLPA). Herein, we collected and comprehensively analysed all known CNVs associated with haemoglobinopathies. The dataset of 291 CNVs was retrieved from the IthaGenes database and was further manually annotated to specify genomic locations, breakpoints and MLPA probes relevant for each CNV. We developed IthaCNVs, a publicly available and easy-to-use online tool that can facilitate the diagnosis of rare and diagnostically challenging haemoglobinopathy cases attributed to CNVs. Importantly, it facilitates the filtering of available entries based on the type of breakpoint information, on specific chromosomal and locus positions, on MLPA probes, and on affected gene(s). IthaCNVs brings together manually curated information about CNV genomic locations, functional effects, and information that can facilitate CNV characterisation through MLPA. It can help laboratory staff and clinicians confirm suspected diagnosis of CNVs based on molecular DNA screening and analysis.
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Registered trials
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