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Title: | Five Variable Number of Tandem Repeats Loci (D17S5, APOB, TPO Intron 10, IL-1α Intron 6, and CIAS1) in Thais and Application in the Prenatal Diagnostic Laboratory |
Authors: | Singsanan S. Yamsri S. Pangjit K. Saenwang P. Karnpean R. Fucharoen S. |
Keywords: | Heterozygosity Maternal cell contamination Prenatal diagnosis VNTR |
Issue Date: | 2022 |
Publisher: | Mary Ann Liebert Inc. |
Abstract: | Background: Prenatal diagnosis of genetic disease requires DNA analysis of fetal tissue of a responsible gene. Accurate diagnosis is useful for the appropriate management of pregnancy. However, maternal contamination of fetal specimens poses a high preanalytical risk of prenatal misdiagnosis. We have examined five variable number of tandem repeat (VNTR) polymorphisms for use in monitoring potential maternal contamination. Materials and Methods: A study was conducted to examine the heterozygosities of five VNTR loci including, D17S5, APOB, TPO intron 10, IL-1α intron 6, and CIAS1 in 200 unrelated Thai subjects and applied to the monitoring of maternal contamination in 22 families at risk of having fetuses with severe thalassemia. Results: The heterozygosities of D17S5, APOB, TPO intron 10, IL-1α intron 6, and CIAS1 VNTRs were 59.5, 19.5, 66.0, 35.5, and 42.0%, respectively. Therefore, the TPO intron 10 and D17S5 loci were chosen for prenatal diagnosis of thalassemia in 22 families. Analyses of these VNTRs demonstrated an increase of informative data from 59.1% provided by the routine D1S80 VNTR analysis to 90.9%. Conclusions: The VNTR diagnostic procedure described above is simple, cost-effective, rapid, and does not require the use of sophisticated instruments; it should prove useful in the prenatal diagnosis of thalassemia. © 2022, Mary Ann Liebert, Inc., publishers 2022. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133144157&doi=10.1089%2fgtmb.2022.0010&partnerID=40&md5=1e775be253cc4ecc83e0e220df285acb https://ir.swu.ac.th/jspui/handle/123456789/27186 |
ISSN: | 19450265 |
Appears in Collections: | Scopus 2022 |
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