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A novel high-throughput molecular counting method with single base-pair resolution enables accurate single-gene NIPT
Next-generation DNA sequencing is currently limited by an inability to accurately count the number of input DNA molecules. Molecular counting is particularly needed when accurate quantification is required for diagnostic purposes, such as in single gene non-invasive prenatal testing (sgNIPT) and liq...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779891/ https://www.ncbi.nlm.nih.gov/pubmed/31591409 http://dx.doi.org/10.1038/s41598-019-50378-8 |
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author | Tsao, David S. Silas, Sukrit Landry, Brian P. Itzep, Nelda P. Nguyen, Amy B. Greenberg, Samuel Kanne, Celeste K. Sheehan, Vivien A. Sharma, Rani Shukla, Rahul Arora, Prem N. Atay, Oguzhan |
author_facet | Tsao, David S. Silas, Sukrit Landry, Brian P. Itzep, Nelda P. Nguyen, Amy B. Greenberg, Samuel Kanne, Celeste K. Sheehan, Vivien A. Sharma, Rani Shukla, Rahul Arora, Prem N. Atay, Oguzhan |
author_sort | Tsao, David S. |
collection | PubMed |
description | Next-generation DNA sequencing is currently limited by an inability to accurately count the number of input DNA molecules. Molecular counting is particularly needed when accurate quantification is required for diagnostic purposes, such as in single gene non-invasive prenatal testing (sgNIPT) and liquid biopsy. We developed Quantitative Counting Template (QCT) molecular counting to reconstruct the number of input DNA molecules using sequencing data. We then used QCT molecular counting to develop sgNIPTs of sickle cell disease, cystic fibrosis, spinal muscular atrophy, alpha-thalassemia, and beta-thalassemia. The analytical sensitivity and specificity of sgNIPT was >98% and >99%, respectively. Validation of sgNIPTs was further performed with maternal blood samples collected during pregnancy, and sgNIPTs were 100% concordant with newborn follow-up. |
format | Online Article Text |
id | pubmed-6779891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67798912019-10-16 A novel high-throughput molecular counting method with single base-pair resolution enables accurate single-gene NIPT Tsao, David S. Silas, Sukrit Landry, Brian P. Itzep, Nelda P. Nguyen, Amy B. Greenberg, Samuel Kanne, Celeste K. Sheehan, Vivien A. Sharma, Rani Shukla, Rahul Arora, Prem N. Atay, Oguzhan Sci Rep Article Next-generation DNA sequencing is currently limited by an inability to accurately count the number of input DNA molecules. Molecular counting is particularly needed when accurate quantification is required for diagnostic purposes, such as in single gene non-invasive prenatal testing (sgNIPT) and liquid biopsy. We developed Quantitative Counting Template (QCT) molecular counting to reconstruct the number of input DNA molecules using sequencing data. We then used QCT molecular counting to develop sgNIPTs of sickle cell disease, cystic fibrosis, spinal muscular atrophy, alpha-thalassemia, and beta-thalassemia. The analytical sensitivity and specificity of sgNIPT was >98% and >99%, respectively. Validation of sgNIPTs was further performed with maternal blood samples collected during pregnancy, and sgNIPTs were 100% concordant with newborn follow-up. Nature Publishing Group UK 2019-10-07 /pmc/articles/PMC6779891/ /pubmed/31591409 http://dx.doi.org/10.1038/s41598-019-50378-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tsao, David S. Silas, Sukrit Landry, Brian P. Itzep, Nelda P. Nguyen, Amy B. Greenberg, Samuel Kanne, Celeste K. Sheehan, Vivien A. Sharma, Rani Shukla, Rahul Arora, Prem N. Atay, Oguzhan A novel high-throughput molecular counting method with single base-pair resolution enables accurate single-gene NIPT |
title | A novel high-throughput molecular counting method with single base-pair resolution enables accurate single-gene NIPT |
title_full | A novel high-throughput molecular counting method with single base-pair resolution enables accurate single-gene NIPT |
title_fullStr | A novel high-throughput molecular counting method with single base-pair resolution enables accurate single-gene NIPT |
title_full_unstemmed | A novel high-throughput molecular counting method with single base-pair resolution enables accurate single-gene NIPT |
title_short | A novel high-throughput molecular counting method with single base-pair resolution enables accurate single-gene NIPT |
title_sort | novel high-throughput molecular counting method with single base-pair resolution enables accurate single-gene nipt |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779891/ https://www.ncbi.nlm.nih.gov/pubmed/31591409 http://dx.doi.org/10.1038/s41598-019-50378-8 |
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