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Maternal Copy Number Imbalances in Non-Invasive Prenatal Testing: Do They Matter?
Non-invasive prenatal testing (NIPT) has become a routine practice in screening for common aneuploidies of chromosomes 21, 18, and 13 and gonosomes X and Y in fetuses worldwide since 2015 and has even expanded to include smaller subchromosomal events. In fact, the fetal fraction represents only a sm...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777446/ https://www.ncbi.nlm.nih.gov/pubmed/36553064 http://dx.doi.org/10.3390/diagnostics12123056 |
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author | Hyblova, Michaela Gnip, Andrej Kucharik, Marcel Budis, Jaroslav Sekelska, Martina Minarik, Gabriel |
author_facet | Hyblova, Michaela Gnip, Andrej Kucharik, Marcel Budis, Jaroslav Sekelska, Martina Minarik, Gabriel |
author_sort | Hyblova, Michaela |
collection | PubMed |
description | Non-invasive prenatal testing (NIPT) has become a routine practice in screening for common aneuploidies of chromosomes 21, 18, and 13 and gonosomes X and Y in fetuses worldwide since 2015 and has even expanded to include smaller subchromosomal events. In fact, the fetal fraction represents only a small proportion of cell-free DNA on a predominant background of maternal DNA. Unlike fetal findings that have to be confirmed using invasive testing, it has been well documented that NIPT provides information on maternal mosaicism, occult malignancies, and hidden health conditions due to copy number variations (CNVs) with diagnostic resolution. Although large duplications or deletions associated with certain medical conditions or syndromes are usually well recognized and easy to interpret, very little is known about small, relatively common copy number variations on the order of a few hundred kilobases and their potential impact on human health. We analyzed data from 6422 NIPT patient samples with a CNV detection resolution of 200 kb for the maternal genome and identified 942 distinct CNVs; 328 occurred repeatedly. We defined them as multiple occurring variants (MOVs). We scrutinized the most common ones, compared them with frequencies in the gnomAD SVs v2.1, dbVar, and DGV population databases, and analyzed them with an emphasis on genomic content and potential association with specific phenotypes. |
format | Online Article Text |
id | pubmed-9777446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97774462022-12-23 Maternal Copy Number Imbalances in Non-Invasive Prenatal Testing: Do They Matter? Hyblova, Michaela Gnip, Andrej Kucharik, Marcel Budis, Jaroslav Sekelska, Martina Minarik, Gabriel Diagnostics (Basel) Article Non-invasive prenatal testing (NIPT) has become a routine practice in screening for common aneuploidies of chromosomes 21, 18, and 13 and gonosomes X and Y in fetuses worldwide since 2015 and has even expanded to include smaller subchromosomal events. In fact, the fetal fraction represents only a small proportion of cell-free DNA on a predominant background of maternal DNA. Unlike fetal findings that have to be confirmed using invasive testing, it has been well documented that NIPT provides information on maternal mosaicism, occult malignancies, and hidden health conditions due to copy number variations (CNVs) with diagnostic resolution. Although large duplications or deletions associated with certain medical conditions or syndromes are usually well recognized and easy to interpret, very little is known about small, relatively common copy number variations on the order of a few hundred kilobases and their potential impact on human health. We analyzed data from 6422 NIPT patient samples with a CNV detection resolution of 200 kb for the maternal genome and identified 942 distinct CNVs; 328 occurred repeatedly. We defined them as multiple occurring variants (MOVs). We scrutinized the most common ones, compared them with frequencies in the gnomAD SVs v2.1, dbVar, and DGV population databases, and analyzed them with an emphasis on genomic content and potential association with specific phenotypes. MDPI 2022-12-06 /pmc/articles/PMC9777446/ /pubmed/36553064 http://dx.doi.org/10.3390/diagnostics12123056 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hyblova, Michaela Gnip, Andrej Kucharik, Marcel Budis, Jaroslav Sekelska, Martina Minarik, Gabriel Maternal Copy Number Imbalances in Non-Invasive Prenatal Testing: Do They Matter? |
title | Maternal Copy Number Imbalances in Non-Invasive Prenatal Testing: Do They Matter? |
title_full | Maternal Copy Number Imbalances in Non-Invasive Prenatal Testing: Do They Matter? |
title_fullStr | Maternal Copy Number Imbalances in Non-Invasive Prenatal Testing: Do They Matter? |
title_full_unstemmed | Maternal Copy Number Imbalances in Non-Invasive Prenatal Testing: Do They Matter? |
title_short | Maternal Copy Number Imbalances in Non-Invasive Prenatal Testing: Do They Matter? |
title_sort | maternal copy number imbalances in non-invasive prenatal testing: do they matter? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777446/ https://www.ncbi.nlm.nih.gov/pubmed/36553064 http://dx.doi.org/10.3390/diagnostics12123056 |
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