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Non-Invasive Prenatal Detection of Trisomy 13 Using a Single Nucleotide Polymorphism- and Informatics-Based Approach
PURPOSE: To determine how a single nucleotide polymorphism (SNP)- and informatics-based non-invasive prenatal aneuploidy test performs in detecting trisomy 13. METHODS: Seventeen trisomy 13 and 51 age-matched euploid samples, randomly selected from a larger cohort, were analyzed. Cell-free DNA was i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4013011/ https://www.ncbi.nlm.nih.gov/pubmed/24805989 http://dx.doi.org/10.1371/journal.pone.0096677 |
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author | Hall, Megan P. Hill, Matthew Zimmermann, Bernhard Sigurjonsson, Styrmir Westemeyer, Margaret Saucier, Jennifer Demko, Zachary Rabinowitz, Matthew |
author_facet | Hall, Megan P. Hill, Matthew Zimmermann, Bernhard Sigurjonsson, Styrmir Westemeyer, Margaret Saucier, Jennifer Demko, Zachary Rabinowitz, Matthew |
author_sort | Hall, Megan P. |
collection | PubMed |
description | PURPOSE: To determine how a single nucleotide polymorphism (SNP)- and informatics-based non-invasive prenatal aneuploidy test performs in detecting trisomy 13. METHODS: Seventeen trisomy 13 and 51 age-matched euploid samples, randomly selected from a larger cohort, were analyzed. Cell-free DNA was isolated from maternal plasma, amplified in a single multiplex polymerase chain reaction assay that interrogated 19,488 SNPs covering chromosomes 13, 18, 21, X, and Y, and sequenced. Analysis and copy number identification involved a Bayesian-based maximum likelihood statistical method that generated chromosome- and sample-specific calculated accuracies. RESULTS: Of the samples that passed a stringent DNA quality threshold (94.1%), the algorithm correctly identified 15/15 trisomy 13 and 49/49 euploid samples, for 320/320 correct copy number calls. CONCLUSIONS: This informatics- and SNP-based method accurately detects trisomy 13-affected fetuses non-invasively and with high calculated accuracy. |
format | Online Article Text |
id | pubmed-4013011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40130112014-05-09 Non-Invasive Prenatal Detection of Trisomy 13 Using a Single Nucleotide Polymorphism- and Informatics-Based Approach Hall, Megan P. Hill, Matthew Zimmermann, Bernhard Sigurjonsson, Styrmir Westemeyer, Margaret Saucier, Jennifer Demko, Zachary Rabinowitz, Matthew PLoS One Research Article PURPOSE: To determine how a single nucleotide polymorphism (SNP)- and informatics-based non-invasive prenatal aneuploidy test performs in detecting trisomy 13. METHODS: Seventeen trisomy 13 and 51 age-matched euploid samples, randomly selected from a larger cohort, were analyzed. Cell-free DNA was isolated from maternal plasma, amplified in a single multiplex polymerase chain reaction assay that interrogated 19,488 SNPs covering chromosomes 13, 18, 21, X, and Y, and sequenced. Analysis and copy number identification involved a Bayesian-based maximum likelihood statistical method that generated chromosome- and sample-specific calculated accuracies. RESULTS: Of the samples that passed a stringent DNA quality threshold (94.1%), the algorithm correctly identified 15/15 trisomy 13 and 49/49 euploid samples, for 320/320 correct copy number calls. CONCLUSIONS: This informatics- and SNP-based method accurately detects trisomy 13-affected fetuses non-invasively and with high calculated accuracy. Public Library of Science 2014-05-07 /pmc/articles/PMC4013011/ /pubmed/24805989 http://dx.doi.org/10.1371/journal.pone.0096677 Text en © 2014 Hall et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hall, Megan P. Hill, Matthew Zimmermann, Bernhard Sigurjonsson, Styrmir Westemeyer, Margaret Saucier, Jennifer Demko, Zachary Rabinowitz, Matthew Non-Invasive Prenatal Detection of Trisomy 13 Using a Single Nucleotide Polymorphism- and Informatics-Based Approach |
title | Non-Invasive Prenatal Detection of Trisomy 13 Using a Single Nucleotide Polymorphism- and Informatics-Based Approach |
title_full | Non-Invasive Prenatal Detection of Trisomy 13 Using a Single Nucleotide Polymorphism- and Informatics-Based Approach |
title_fullStr | Non-Invasive Prenatal Detection of Trisomy 13 Using a Single Nucleotide Polymorphism- and Informatics-Based Approach |
title_full_unstemmed | Non-Invasive Prenatal Detection of Trisomy 13 Using a Single Nucleotide Polymorphism- and Informatics-Based Approach |
title_short | Non-Invasive Prenatal Detection of Trisomy 13 Using a Single Nucleotide Polymorphism- and Informatics-Based Approach |
title_sort | non-invasive prenatal detection of trisomy 13 using a single nucleotide polymorphism- and informatics-based approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4013011/ https://www.ncbi.nlm.nih.gov/pubmed/24805989 http://dx.doi.org/10.1371/journal.pone.0096677 |
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