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Utility of the multivariate approach in predicting β-thalassemia intermedia or β-thalassemia major types In Iranian patients.
- Source :
-
Hemoglobin [Hemoglobin] 2013; Vol. 37 (5), pp. 413-22. Date of Electronic Publication: 2013 Jun 27. - Publication Year :
- 2013
-
Abstract
- Recently, five genetic modifiers [β-globin mutations, coinheritance of α-thalassemia (α-thal), XmnI polymorphism and single nucleotide polymorphisms (SNPs) in the BCL11A and HBS1L-MYB loci] were used to predict the β-thal major (β-TM) or β-thal intermedia (β-TI) types in 106 French patients with 83.2% accuracy. The dichotomous grouping was based on the age when the patient received his/her first transfusion (4 years). Here, a similar study was conducted in a cohort of 306 Iranian β-thal patients having distinct β-globin mutations and minor allele frequencies of key SNPs in these loci. Multivariate regression analyses and a simple scoring system were used to predict the β-TM/β-TI types using three scenarios: 1) when considering only the severe β-TM and the mild β-TI cases, 2) using clinical parameters for β-thal typing, and 3) using age at first transfusion as the basis for classification. Using these scenarios, the β-thal types could be correctly predicted in 77.6, 75.5 and 68.0% of cases, respectively.
- Subjects :
- Adult
Binding Sites genetics
Carrier Proteins genetics
Cohort Studies
DNA, Intergenic genetics
Deoxyribonucleases, Type II Site-Specific metabolism
Female
GTP-Binding Proteins genetics
Gene Frequency
Genotype
HSP70 Heat-Shock Proteins genetics
Humans
Iran
Male
Mutation
Nuclear Proteins genetics
Peptide Elongation Factors genetics
Polymorphism, Single Nucleotide
Prognosis
Proto-Oncogene Proteins c-myb genetics
Repressor Proteins
Sensitivity and Specificity
Young Adult
beta-Globins genetics
beta-Thalassemia classification
Multivariate Analysis
Regression Analysis
beta-Thalassemia diagnosis
beta-Thalassemia genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1532-432X
- Volume :
- 37
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Hemoglobin
- Publication Type :
- Academic Journal
- Accession number :
- 23805990
- Full Text :
- https://doi.org/10.3109/03630269.2013.805418