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FetalQuant(SD): accurate quantification of fetal DNA fraction by shallow-depth sequencing of maternal plasma DNA
Noninvasive prenatal testing using massively parallel sequencing of maternal plasma DNA has been rapidly adopted in clinical use worldwide. Fetal DNA fraction in a maternal plasma sample is an important parameter for accurate interpretations of these tests. However, there is a lack of methods involv...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685300/ https://www.ncbi.nlm.nih.gov/pubmed/29263813 http://dx.doi.org/10.1038/npjgenmed.2016.13 |
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author | Jiang, Peiyong Peng, Xianlu Su, Xiaoxi Sun, Kun Yu, Stephanie C Y Chu, Weng In Leung, Tak Y Sun, Hao Chiu, Rossa W K Lo, Yuk Ming Dennis Chan, Kwan Chee Allen |
author_facet | Jiang, Peiyong Peng, Xianlu Su, Xiaoxi Sun, Kun Yu, Stephanie C Y Chu, Weng In Leung, Tak Y Sun, Hao Chiu, Rossa W K Lo, Yuk Ming Dennis Chan, Kwan Chee Allen |
author_sort | Jiang, Peiyong |
collection | PubMed |
description | Noninvasive prenatal testing using massively parallel sequencing of maternal plasma DNA has been rapidly adopted in clinical use worldwide. Fetal DNA fraction in a maternal plasma sample is an important parameter for accurate interpretations of these tests. However, there is a lack of methods involving low-sequencing depth and yet would allow a robust and accurate determination of fetal DNA fraction in maternal plasma for all pregnancies. In this study, we have developed a new method to accurately quantify the fetal DNA fraction by analysing the maternal genotypes and sequencing data of maternal plasma DNA. Fetal DNA fraction was calculated based on the proportion of non-maternal alleles at single-nucleotide polymorphisms where the mother is homozygous. This new approach achieves a median deviation of 0.6% between predicted fetal DNA fraction and the actual fetal DNA fraction using as low as 0.03-fold sequencing coverage of the human genome. We believe that this method will further enhance the clinical interpretations of noninvasive prenatal testing using genome-wide random sequencing. |
format | Online Article Text |
id | pubmed-5685300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56853002017-12-20 FetalQuant(SD): accurate quantification of fetal DNA fraction by shallow-depth sequencing of maternal plasma DNA Jiang, Peiyong Peng, Xianlu Su, Xiaoxi Sun, Kun Yu, Stephanie C Y Chu, Weng In Leung, Tak Y Sun, Hao Chiu, Rossa W K Lo, Yuk Ming Dennis Chan, Kwan Chee Allen NPJ Genom Med Article Noninvasive prenatal testing using massively parallel sequencing of maternal plasma DNA has been rapidly adopted in clinical use worldwide. Fetal DNA fraction in a maternal plasma sample is an important parameter for accurate interpretations of these tests. However, there is a lack of methods involving low-sequencing depth and yet would allow a robust and accurate determination of fetal DNA fraction in maternal plasma for all pregnancies. In this study, we have developed a new method to accurately quantify the fetal DNA fraction by analysing the maternal genotypes and sequencing data of maternal plasma DNA. Fetal DNA fraction was calculated based on the proportion of non-maternal alleles at single-nucleotide polymorphisms where the mother is homozygous. This new approach achieves a median deviation of 0.6% between predicted fetal DNA fraction and the actual fetal DNA fraction using as low as 0.03-fold sequencing coverage of the human genome. We believe that this method will further enhance the clinical interpretations of noninvasive prenatal testing using genome-wide random sequencing. Nature Publishing Group 2016-05-11 /pmc/articles/PMC5685300/ /pubmed/29263813 http://dx.doi.org/10.1038/npjgenmed.2016.13 Text en Copyright © 2016 Center of Excellence in Genomic Medicine Research/Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Jiang, Peiyong Peng, Xianlu Su, Xiaoxi Sun, Kun Yu, Stephanie C Y Chu, Weng In Leung, Tak Y Sun, Hao Chiu, Rossa W K Lo, Yuk Ming Dennis Chan, Kwan Chee Allen FetalQuant(SD): accurate quantification of fetal DNA fraction by shallow-depth sequencing of maternal plasma DNA |
title | FetalQuant(SD): accurate quantification of fetal DNA fraction by shallow-depth sequencing of maternal plasma DNA |
title_full | FetalQuant(SD): accurate quantification of fetal DNA fraction by shallow-depth sequencing of maternal plasma DNA |
title_fullStr | FetalQuant(SD): accurate quantification of fetal DNA fraction by shallow-depth sequencing of maternal plasma DNA |
title_full_unstemmed | FetalQuant(SD): accurate quantification of fetal DNA fraction by shallow-depth sequencing of maternal plasma DNA |
title_short | FetalQuant(SD): accurate quantification of fetal DNA fraction by shallow-depth sequencing of maternal plasma DNA |
title_sort | fetalquant(sd): accurate quantification of fetal dna fraction by shallow-depth sequencing of maternal plasma dna |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5685300/ https://www.ncbi.nlm.nih.gov/pubmed/29263813 http://dx.doi.org/10.1038/npjgenmed.2016.13 |
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