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NIPTmer: rapid k-mer-based software package for detection of fetal aneuploidies
Non-invasive prenatal testing (NIPT) is a recent and rapidly evolving method for detecting genetic lesions, such as aneuploidies, of a fetus. However, there is a need for faster and cheaper laboratory and analysis methods to make NIPT more widely accessible. We have developed a novel software packag...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884839/ https://www.ncbi.nlm.nih.gov/pubmed/29618827 http://dx.doi.org/10.1038/s41598-018-23589-8 |
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author | Sauk, Martin Žilina, Olga Kurg, Ants Ustav, Eva-Liina Peters, Maire Paluoja, Priit Roost, Anne Mari Teder, Hindrek Palta, Priit Brison, Nathalie Vermeesch, Joris R. Krjutškov, Kaarel Salumets, Andres Kaplinski, Lauris |
author_facet | Sauk, Martin Žilina, Olga Kurg, Ants Ustav, Eva-Liina Peters, Maire Paluoja, Priit Roost, Anne Mari Teder, Hindrek Palta, Priit Brison, Nathalie Vermeesch, Joris R. Krjutškov, Kaarel Salumets, Andres Kaplinski, Lauris |
author_sort | Sauk, Martin |
collection | PubMed |
description | Non-invasive prenatal testing (NIPT) is a recent and rapidly evolving method for detecting genetic lesions, such as aneuploidies, of a fetus. However, there is a need for faster and cheaper laboratory and analysis methods to make NIPT more widely accessible. We have developed a novel software package for detection of fetal aneuploidies from next-generation low-coverage whole genome sequencing data. Our tool – NIPTmer – is based on counting pre-defined per-chromosome sets of unique k-mers from raw sequencing data, and applying linear regression model on the counts. Additionally, the filtering process used for k-mer list creation allows one to take into account the genetic variance in a specific sample, thus reducing the source of uncertainty. The processing time of one sample is less than 10 CPU-minutes on a high-end workstation. NIPTmer was validated on a cohort of 583 NIPT samples and it correctly predicted 37 non-mosaic fetal aneuploidies. NIPTmer has the potential to reduce significantly the time and complexity of NIPT post-sequencing analysis compared to mapping-based methods. For non-commercial users the software package is freely available at http://bioinfo.ut.ee/NIPTMer/. |
format | Online Article Text |
id | pubmed-5884839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58848392018-04-09 NIPTmer: rapid k-mer-based software package for detection of fetal aneuploidies Sauk, Martin Žilina, Olga Kurg, Ants Ustav, Eva-Liina Peters, Maire Paluoja, Priit Roost, Anne Mari Teder, Hindrek Palta, Priit Brison, Nathalie Vermeesch, Joris R. Krjutškov, Kaarel Salumets, Andres Kaplinski, Lauris Sci Rep Article Non-invasive prenatal testing (NIPT) is a recent and rapidly evolving method for detecting genetic lesions, such as aneuploidies, of a fetus. However, there is a need for faster and cheaper laboratory and analysis methods to make NIPT more widely accessible. We have developed a novel software package for detection of fetal aneuploidies from next-generation low-coverage whole genome sequencing data. Our tool – NIPTmer – is based on counting pre-defined per-chromosome sets of unique k-mers from raw sequencing data, and applying linear regression model on the counts. Additionally, the filtering process used for k-mer list creation allows one to take into account the genetic variance in a specific sample, thus reducing the source of uncertainty. The processing time of one sample is less than 10 CPU-minutes on a high-end workstation. NIPTmer was validated on a cohort of 583 NIPT samples and it correctly predicted 37 non-mosaic fetal aneuploidies. NIPTmer has the potential to reduce significantly the time and complexity of NIPT post-sequencing analysis compared to mapping-based methods. For non-commercial users the software package is freely available at http://bioinfo.ut.ee/NIPTMer/. Nature Publishing Group UK 2018-04-04 /pmc/articles/PMC5884839/ /pubmed/29618827 http://dx.doi.org/10.1038/s41598-018-23589-8 Text en © The Author(s) 2018 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 Sauk, Martin Žilina, Olga Kurg, Ants Ustav, Eva-Liina Peters, Maire Paluoja, Priit Roost, Anne Mari Teder, Hindrek Palta, Priit Brison, Nathalie Vermeesch, Joris R. Krjutškov, Kaarel Salumets, Andres Kaplinski, Lauris NIPTmer: rapid k-mer-based software package for detection of fetal aneuploidies |
title | NIPTmer: rapid k-mer-based software package for detection of fetal aneuploidies |
title_full | NIPTmer: rapid k-mer-based software package for detection of fetal aneuploidies |
title_fullStr | NIPTmer: rapid k-mer-based software package for detection of fetal aneuploidies |
title_full_unstemmed | NIPTmer: rapid k-mer-based software package for detection of fetal aneuploidies |
title_short | NIPTmer: rapid k-mer-based software package for detection of fetal aneuploidies |
title_sort | niptmer: rapid k-mer-based software package for detection of fetal aneuploidies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884839/ https://www.ncbi.nlm.nih.gov/pubmed/29618827 http://dx.doi.org/10.1038/s41598-018-23589-8 |
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