Associated Papers
GenTIGS: a database empowering research and clinical insights on rare genetic disorders with an Indian perspective.
Rashid I et al.
Nar Genomics and Bioinformatics, 2025
41229399 (PubMed )
Supplement: lqaf143_supplemental_file.xls › Pathogenic
Non-Invasive Determination of the Paternal Inheritance in Pregnancies at Risk for β-Thalassaemia by Analyzing Cell-Free Fetal DNA Using Targeted Next-Generation Sequencing.
Byrou S et al.
International Journal of Molecular Sciences, 2025
39859286 (PubMed )
Supplement: ijms-26-00570-s001.zip › Supplementary.pdf
Scalable noninvasive amplicon-based precision sequencing (SNAPseq) for genetic diagnosis and screening of β-thalassemia and sickle cell disease using a next-generation sequencing platform.
Gupta P et al.
Frontiers in Molecular Biosciences, 2023
Evaluation of in silico predictors on short nucleotide variants in HBA1, HBA2, and HBB associated with haemoglobinopathies.
Tamana S et al.
Elife, 2022
36453528 (PubMed )
Supplement: elife-79713-supp2.xlsx › Input-Full_dataset
Molecular Characterization of β- and α-Globin Gene Mutations in Individuals with Borderline Hb A2 Levels.
Satthakarn S et al.
Hemoglobin, 2020
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.
Islam MT et al.
Bmc Genetics, 2018
The spectrum of β-thalassemia mutations in Hatay, Turkey: reporting three new mutations.
Aldemir O et al.
Hemoglobin, 2014
Interpretation of mRNA splicing mutations in genetic disease: review of the literature and guidelines for information-theoretical analysis.
Caminsky N et al.
F1000research, 2014
25717368 (PubMed )
Supplement: f1000research-3-6038-s0000.tgz › e0d3facd-5877-477e-9217-8c5aa68746f2_Supplementary-Tables-11112014.zip › Supplementary-Tables-and-Figures-11112014 › Supplementary_Table_10._Splicing_Mutation_Calculator_Source_Datav2.xlsx › Supplementary_Table_10
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