Unknown

Dataset Information

0

The shortcut strategy for beta thalassemia prevention.


ABSTRACT: We propose antenatal blood tests using high-resolution DNA melting (HRM) analysis for beta thalassemia mutation detection after hemoglobin A2 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 A2 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 beta0 - 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 A2 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.

SUBMITTER: Suwannakhon N 

PROVIDER: S-EPMC6036980 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

altmetric image

Publications


We propose antenatal blood tests using high-resolution DNA melting (HRM) analysis for beta thalassemia mutation detection after hemoglobin A<sub>2</sub> 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<sub>2</sub> was quantified, and proportions ≥3.5% were further assessed for beta thalassemia mutation using HRM analysis. Twelve types of beta thalass  ...[more]

Similar Datasets

| S-EPMC9335155 | biostudies-literature
| S-EPMC2835719 | biostudies-literature
2012-03-07 | E-GEOD-36312 | biostudies-arrayexpress
2012-03-07 | GSE36312 | GEO
2012-03-31 | E-GEOD-34125 | biostudies-arrayexpress
| S-EPMC6613625 | biostudies-literature
| S-EPMC8235056 | biostudies-literature
| S-EPMC3208672 | biostudies-literature
| S-EPMC7217120 | biostudies-literature
| S-EPMC7229588 | biostudies-literature