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Bioinformatics Approaches for Fetal DNA Fraction Estimation in Noninvasive Prenatal Testing
The discovery of cell-free fetal DNA molecules in plasma of pregnant women has created a paradigm shift in noninvasive prenatal testing (NIPT). Circulating cell-free DNA in maternal plasma has been increasingly recognized as an important proxy to detect fetal abnormalities in a noninvasive manner. A...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5343987/ https://www.ncbi.nlm.nih.gov/pubmed/28230760 http://dx.doi.org/10.3390/ijms18020453 |
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author | Peng, Xianlu Laura Jiang, Peiyong |
author_facet | Peng, Xianlu Laura Jiang, Peiyong |
author_sort | Peng, Xianlu Laura |
collection | PubMed |
description | The discovery of cell-free fetal DNA molecules in plasma of pregnant women has created a paradigm shift in noninvasive prenatal testing (NIPT). Circulating cell-free DNA in maternal plasma has been increasingly recognized as an important proxy to detect fetal abnormalities in a noninvasive manner. A variety of approaches for NIPT using next-generation sequencing have been developed, which have been rapidly transforming clinical practices nowadays. In such approaches, the fetal DNA fraction is a pivotal parameter governing the overall performance and guaranteeing the proper clinical interpretation of testing results. In this review, we describe the current bioinformatics approaches developed for estimating the fetal DNA fraction and discuss their pros and cons. |
format | Online Article Text |
id | pubmed-5343987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53439872017-03-16 Bioinformatics Approaches for Fetal DNA Fraction Estimation in Noninvasive Prenatal Testing Peng, Xianlu Laura Jiang, Peiyong Int J Mol Sci Review The discovery of cell-free fetal DNA molecules in plasma of pregnant women has created a paradigm shift in noninvasive prenatal testing (NIPT). Circulating cell-free DNA in maternal plasma has been increasingly recognized as an important proxy to detect fetal abnormalities in a noninvasive manner. A variety of approaches for NIPT using next-generation sequencing have been developed, which have been rapidly transforming clinical practices nowadays. In such approaches, the fetal DNA fraction is a pivotal parameter governing the overall performance and guaranteeing the proper clinical interpretation of testing results. In this review, we describe the current bioinformatics approaches developed for estimating the fetal DNA fraction and discuss their pros and cons. MDPI 2017-02-20 /pmc/articles/PMC5343987/ /pubmed/28230760 http://dx.doi.org/10.3390/ijms18020453 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Peng, Xianlu Laura Jiang, Peiyong Bioinformatics Approaches for Fetal DNA Fraction Estimation in Noninvasive Prenatal Testing |
title | Bioinformatics Approaches for Fetal DNA Fraction Estimation in Noninvasive Prenatal Testing |
title_full | Bioinformatics Approaches for Fetal DNA Fraction Estimation in Noninvasive Prenatal Testing |
title_fullStr | Bioinformatics Approaches for Fetal DNA Fraction Estimation in Noninvasive Prenatal Testing |
title_full_unstemmed | Bioinformatics Approaches for Fetal DNA Fraction Estimation in Noninvasive Prenatal Testing |
title_short | Bioinformatics Approaches for Fetal DNA Fraction Estimation in Noninvasive Prenatal Testing |
title_sort | bioinformatics approaches for fetal dna fraction estimation in noninvasive prenatal testing |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5343987/ https://www.ncbi.nlm.nih.gov/pubmed/28230760 http://dx.doi.org/10.3390/ijms18020453 |
work_keys_str_mv | AT pengxianlulaura bioinformaticsapproachesforfetaldnafractionestimationinnoninvasiveprenataltesting AT jiangpeiyong bioinformaticsapproachesforfetaldnafractionestimationinnoninvasiveprenataltesting |