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Identification of rare thalassemia variants using third-generation sequencing
Routine PCR, Sanger sequencing, and specially designed GAP-PCR are often used in the genetic analysis of thalassemia, but all these methods have limitations. In this study, we evaluated a new third-generation sequencing-based approach termed comprehensive analysis of thalassemia alleles (CATSA) in s...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845392/ https://www.ncbi.nlm.nih.gov/pubmed/36685902 http://dx.doi.org/10.3389/fgene.2022.1076035 |
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author | Liu, Qin Chen, Qianting Zhang, Zonglei Peng, Shiyi Liu, Jing Pang, Jialun Jia, Zhengjun Xi, Hui Li, Jiaqi Chen, Libao Liu, Yinyin Peng, Ying |
author_facet | Liu, Qin Chen, Qianting Zhang, Zonglei Peng, Shiyi Liu, Jing Pang, Jialun Jia, Zhengjun Xi, Hui Li, Jiaqi Chen, Libao Liu, Yinyin Peng, Ying |
author_sort | Liu, Qin |
collection | PubMed |
description | Routine PCR, Sanger sequencing, and specially designed GAP-PCR are often used in the genetic analysis of thalassemia, but all these methods have limitations. In this study, we evaluated a new third-generation sequencing-based approach termed comprehensive analysis of thalassemia alleles (CATSA) in subjects with no variants identified by routine PCR, Sanger sequencing, and specially designed GAP-PCR. Hemoglobin testing and routine PCR tests for 23 common variants were performed for 3,033 subjects. Then, Sanger sequencing and specially designed GAP-PCR were performed for a subject with no variants identified by routine PCR, no iron deficiency, and positive hemoglobin testing. Finally, the new CATSA method was conducted for the subjects with no variants identified by Sanger sequencing and specially designed GAP-PCR. In the 49 subjects tested by CATSA, eight subjects had variants identified. Sanger sequencing and independent PCR confirmed the CATSA result. In addition, it is the first time that Hb Lepore was identified in Hunan Province. In total, traditional methods identified variants in 759 of the 3,033 subjects, while CATSA identified additional variants in eight subjects. CATSA showed great advantages compared to the other genetic testing methods. |
format | Online Article Text |
id | pubmed-9845392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98453922023-01-19 Identification of rare thalassemia variants using third-generation sequencing Liu, Qin Chen, Qianting Zhang, Zonglei Peng, Shiyi Liu, Jing Pang, Jialun Jia, Zhengjun Xi, Hui Li, Jiaqi Chen, Libao Liu, Yinyin Peng, Ying Front Genet Genetics Routine PCR, Sanger sequencing, and specially designed GAP-PCR are often used in the genetic analysis of thalassemia, but all these methods have limitations. In this study, we evaluated a new third-generation sequencing-based approach termed comprehensive analysis of thalassemia alleles (CATSA) in subjects with no variants identified by routine PCR, Sanger sequencing, and specially designed GAP-PCR. Hemoglobin testing and routine PCR tests for 23 common variants were performed for 3,033 subjects. Then, Sanger sequencing and specially designed GAP-PCR were performed for a subject with no variants identified by routine PCR, no iron deficiency, and positive hemoglobin testing. Finally, the new CATSA method was conducted for the subjects with no variants identified by Sanger sequencing and specially designed GAP-PCR. In the 49 subjects tested by CATSA, eight subjects had variants identified. Sanger sequencing and independent PCR confirmed the CATSA result. In addition, it is the first time that Hb Lepore was identified in Hunan Province. In total, traditional methods identified variants in 759 of the 3,033 subjects, while CATSA identified additional variants in eight subjects. CATSA showed great advantages compared to the other genetic testing methods. Frontiers Media S.A. 2023-01-04 /pmc/articles/PMC9845392/ /pubmed/36685902 http://dx.doi.org/10.3389/fgene.2022.1076035 Text en Copyright © 2023 Liu, Chen, Zhang, Peng, Liu, Pang, Jia, Xi, Li, Chen, Liu and Peng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Liu, Qin Chen, Qianting Zhang, Zonglei Peng, Shiyi Liu, Jing Pang, Jialun Jia, Zhengjun Xi, Hui Li, Jiaqi Chen, Libao Liu, Yinyin Peng, Ying Identification of rare thalassemia variants using third-generation sequencing |
title | Identification of rare thalassemia variants using third-generation sequencing |
title_full | Identification of rare thalassemia variants using third-generation sequencing |
title_fullStr | Identification of rare thalassemia variants using third-generation sequencing |
title_full_unstemmed | Identification of rare thalassemia variants using third-generation sequencing |
title_short | Identification of rare thalassemia variants using third-generation sequencing |
title_sort | identification of rare thalassemia variants using third-generation sequencing |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845392/ https://www.ncbi.nlm.nih.gov/pubmed/36685902 http://dx.doi.org/10.3389/fgene.2022.1076035 |
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