The shortcut strategy for beta thalassemia prevention
Author(s) -
Narutchala Suwannakhon,
Khajohnsilp Pongsawatkul,
Teerapat Seeratanachot,
Khwanruedee Mahingsa,
Arunee Pingyod,
Wanwipa Bumrungpakdee,
Torpong Sanguansermsri
Publication year - 2018
Publication title -
hematology reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.239
H-Index - 12
ISSN - 2038-8330
DOI - 10.4081/hr.2018.7530
Subject(s) - medicine , thalassemia , beta thalassemia , fetus , hemoglobin , prenatal diagnosis , fetal hemoglobin , obstetrics , pediatrics , beta (programming language) , pregnancy , genetics , biology , computer science , programming language
We propose antenatal blood tests using high-resolution DNA melting (HRM) analysis for beta thalassemia mutation detection after hemoglobin A estimation as a modified strategy for the identification of beta thalassemia at-risk couples. Antenatal blood samples of 1,115 couples were transferred from the antenatal care clinic. Hemoglobin A was quantified, and proportions ≥3.5% were further assessed for beta thalassemia mutation using HRM analysis. Twelve types of beta thalassemia mutations, including hemoglobin E, were identified. There were 23 couples who were detected as at-risk. All at-risk couples were identified within 7 working days after sample receipt. Prenatal diagnosis revealed 6 affected fetuses. One fetus was homozygous CD17 (AT), and five fetuses exhibited beta - thalassemia/hemoglobin E disease. These results were consistent with the outcomes calculated using the Hardy-Weinberg equation. Antenatal blood tests for mutation detection using high-resolution DNA melting analysis after hemoglobin A estimation is a feasible laboratory method for the recruitment of couples with a fetus that is at risk for beta thalassemia. This modified strategy is cost-effective and may be beneficial for use in a beta thalassemia prevention program.
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