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A genetic score for the prediction of beta-thalassemia severity.

Authors :
Danjou F
Francavilla M
Anni F
Satta S
Demartis FR
Perseu L
Manca M
Sollaino MC
Manunza L
Mereu E
Marceddu G
Pissard S
Joly P
Thuret I
Origa R
Borg J
Forni GL
Piga A
Lai ME
Badens C
Moi P
Galanello R
Source :
Haematologica [Haematologica] 2015 Apr; Vol. 100 (4), pp. 452-7. Date of Electronic Publication: 2014 Dec 05.
Publication Year :
2015

Abstract

Clinical and hematologic characteristics of beta(β)-thalassemia are determined by several factors resulting in a wide spectrum of severity. Phenotype modulators are: HBB mutations, HBA defects and fetal hemoglobin production modulators (HBG2:g.-158C>T polymorphism, HBS1L-MYB intergenic region and the BCL11A). We characterized 54 genetic variants at these five loci robustly associated with the amelioration of beta-thalassemia phenotype, to build a predictive score of severity using a representative cohort of 890 β-thalassemic patients. Using Cox proportional hazard analysis on a training set, we assessed the effect of these loci on the age at which patient started regular transfusions, built a Thalassemia Severity Score, and validated it on a testing set. Discriminatory power of the model was high (C-index=0.705; R(2)=0.343) and the validation conducted on the testing set confirmed its predictive accuracy with transfusion-free survival probability (P<0.001) and with transfusion dependency status (Area Under the Receiver Operating Characteristic Curve=0.774; P<0.001). Finally, an automatized on-line calculation of the score was made available at http://tss.unica.it. Besides the accurate assessment of genetic predictors effect, the present results could be helpful in the management of patients, both as a predictive score for screening and a standardized scale of severity to overcome the major-intermedia dichotomy and support clinical decisions.<br /> (Copyright© Ferrata Storti Foundation.)

Details

Language :
English
ISSN :
1592-8721
Volume :
100
Issue :
4
Database :
MEDLINE
Journal :
Haematologica
Publication Type :
Academic Journal
Accession number :
25480500
Full Text :
https://doi.org/10.3324/haematol.2014.113886