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Improving the Positive Predictive Value of Non-Invasive Prenatal Screening (NIPS)
We evaluated performance characteristics of a laboratory-developed, non-invasive prenatal screening (NIPS) assay for fetal aneuploidies. This assay employs massively parallel shotgun sequencing with full automation. GC sequencing bias correction and statistical smoothing were performed to enhance di...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5382935/ https://www.ncbi.nlm.nih.gov/pubmed/28248967 http://dx.doi.org/10.1371/journal.pone.0167130 |
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author | Strom, Charles M. Anderson, Ben Tsao, David Zhang, Ke Liu, Yan Livingston, Kayla Elzinga, Christopher Evans, Matthew Nguyen, Quoclinh Wolfson, David Rowland, Charles Kolacki, Paula Maxwell, Megan Wang, Jia-Chi Rabin, Douglas Catanese, Joseph Owen, Renius Braastad, Corey Sun, Weimin |
author_facet | Strom, Charles M. Anderson, Ben Tsao, David Zhang, Ke Liu, Yan Livingston, Kayla Elzinga, Christopher Evans, Matthew Nguyen, Quoclinh Wolfson, David Rowland, Charles Kolacki, Paula Maxwell, Megan Wang, Jia-Chi Rabin, Douglas Catanese, Joseph Owen, Renius Braastad, Corey Sun, Weimin |
author_sort | Strom, Charles M. |
collection | PubMed |
description | We evaluated performance characteristics of a laboratory-developed, non-invasive prenatal screening (NIPS) assay for fetal aneuploidies. This assay employs massively parallel shotgun sequencing with full automation. GC sequencing bias correction and statistical smoothing were performed to enhance discrimination of affected and unaffected pregnancies. Maternal plasma samples from pregnancies with known aneuploidy status were used for assay development, verification, and validation. Assay verification studies using 2,085 known samples (1873 unaffected, 69 trisomy 21, 20 trisomy 18, 17 trisomy 13) demonstrated complete discrimination between autosomal trisomy (Z scores >8) and unaffected (Z scores <4) singleton pregnancies. A validation study using 552 known samples (21 trisomy 21, 10 trisomy 18, 1 trisomy 13) confirmed complete discrimination. Twin pregnancies showed similar results. Follow-up of abnormal results from the first 10,000 clinical samples demonstrated PPVs of 98% (41/42) for trisomy 21, 92% (23/25) for trisomy 18, and 69% (9/13) for trisomy 13. Adjustment for causes of false-positive results identified during clinical testing (eg, maternal duplications) improved PPVs to 100% for trisomy 21 and 96% for trisomy 18. This NIPS test demonstrates excellent discrimination between trisomic and unaffected pregnancies. The PPVs obtained in initial clinical testing are substantially higher than previously reported NIPS methods. |
format | Online Article Text |
id | pubmed-5382935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53829352017-04-20 Improving the Positive Predictive Value of Non-Invasive Prenatal Screening (NIPS) Strom, Charles M. Anderson, Ben Tsao, David Zhang, Ke Liu, Yan Livingston, Kayla Elzinga, Christopher Evans, Matthew Nguyen, Quoclinh Wolfson, David Rowland, Charles Kolacki, Paula Maxwell, Megan Wang, Jia-Chi Rabin, Douglas Catanese, Joseph Owen, Renius Braastad, Corey Sun, Weimin PLoS One Research Article We evaluated performance characteristics of a laboratory-developed, non-invasive prenatal screening (NIPS) assay for fetal aneuploidies. This assay employs massively parallel shotgun sequencing with full automation. GC sequencing bias correction and statistical smoothing were performed to enhance discrimination of affected and unaffected pregnancies. Maternal plasma samples from pregnancies with known aneuploidy status were used for assay development, verification, and validation. Assay verification studies using 2,085 known samples (1873 unaffected, 69 trisomy 21, 20 trisomy 18, 17 trisomy 13) demonstrated complete discrimination between autosomal trisomy (Z scores >8) and unaffected (Z scores <4) singleton pregnancies. A validation study using 552 known samples (21 trisomy 21, 10 trisomy 18, 1 trisomy 13) confirmed complete discrimination. Twin pregnancies showed similar results. Follow-up of abnormal results from the first 10,000 clinical samples demonstrated PPVs of 98% (41/42) for trisomy 21, 92% (23/25) for trisomy 18, and 69% (9/13) for trisomy 13. Adjustment for causes of false-positive results identified during clinical testing (eg, maternal duplications) improved PPVs to 100% for trisomy 21 and 96% for trisomy 18. This NIPS test demonstrates excellent discrimination between trisomic and unaffected pregnancies. The PPVs obtained in initial clinical testing are substantially higher than previously reported NIPS methods. Public Library of Science 2017-03-01 /pmc/articles/PMC5382935/ /pubmed/28248967 http://dx.doi.org/10.1371/journal.pone.0167130 Text en © 2017 Strom 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Strom, Charles M. Anderson, Ben Tsao, David Zhang, Ke Liu, Yan Livingston, Kayla Elzinga, Christopher Evans, Matthew Nguyen, Quoclinh Wolfson, David Rowland, Charles Kolacki, Paula Maxwell, Megan Wang, Jia-Chi Rabin, Douglas Catanese, Joseph Owen, Renius Braastad, Corey Sun, Weimin Improving the Positive Predictive Value of Non-Invasive Prenatal Screening (NIPS) |
title | Improving the Positive Predictive Value of Non-Invasive Prenatal Screening (NIPS) |
title_full | Improving the Positive Predictive Value of Non-Invasive Prenatal Screening (NIPS) |
title_fullStr | Improving the Positive Predictive Value of Non-Invasive Prenatal Screening (NIPS) |
title_full_unstemmed | Improving the Positive Predictive Value of Non-Invasive Prenatal Screening (NIPS) |
title_short | Improving the Positive Predictive Value of Non-Invasive Prenatal Screening (NIPS) |
title_sort | improving the positive predictive value of non-invasive prenatal screening (nips) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5382935/ https://www.ncbi.nlm.nih.gov/pubmed/28248967 http://dx.doi.org/10.1371/journal.pone.0167130 |
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