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Clinical evaluation of non-invasive prenatal screening for the detection of fetal genome-wide copy number variants

OBJECTIVE: This study explores and discusses the possible factors affecting the positive predictive value (PPV) of non-invasive prenatal screening (NIPS) for the detection of fetal copy number variants (CNVs) in pregnant women. METHODS: NIPS was performed for 50,972 pregnant women and 212 cases were...

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Autores principales: Wang, Wenli, Lu, Fengying, Zhang, Bin, Zhou, Qin, Chen, Yingping, Yu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264683/
https://www.ncbi.nlm.nih.gov/pubmed/35804426
http://dx.doi.org/10.1186/s13023-022-02406-6
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author Wang, Wenli
Lu, Fengying
Zhang, Bin
Zhou, Qin
Chen, Yingping
Yu, Bin
author_facet Wang, Wenli
Lu, Fengying
Zhang, Bin
Zhou, Qin
Chen, Yingping
Yu, Bin
author_sort Wang, Wenli
collection PubMed
description OBJECTIVE: This study explores and discusses the possible factors affecting the positive predictive value (PPV) of non-invasive prenatal screening (NIPS) for the detection of fetal copy number variants (CNVs) in pregnant women. METHODS: NIPS was performed for 50,972 pregnant women and 212 cases were suspected as fetal CNVs. Post additional genetic counseling for these women, 96 underwent invasive prenatal diagnosis (amniocentesis), following which they received chromosomal microarray analysis (CMA). We analyzed the PPV of NIPS for the detection of fetal CNVs and the possible interference factors that could affect the PPV. RESULTS: Among the 96 pregnant women that received prenatal diagnosis by CMA, 37 cases were confirmed to be true positive for fetal CNVs with a PPV of 38.5%. There was no significant difference between the women with different NIPS indications. Five cases were reported as the false positive and false negative of fetal CNVs and the differences were mainly reflected in the inconsistency of chromosome fragments. Depending on the sizes of the CNVs, the PPVs were 48.7% for CNVs < 3 Mb, 41.4% for CNVs falling within 3 ~ 5 Mb, 42.9% for the CNVs falling within 5 ~ 10 Mb, and 14.3% for CNVs > 10 Mb. Based on the chromosomal locations of CNVs, the PPV(4.8%) of the chromosomes of group C(including chromosomes 6 ~ 12), was lower than that of the other groups (41.2% ~ 66.7%) (p = 0.021). However, there were no significant differences in the CNV characteristics, fetal fractions, unique reads, and the Z-scores between these groups. CONCLUSION: NIPS with a low-coverage sequencing depth has a certain effect on detection of fetal CNVs with the PPV of 38.5%. Chromosomal locations of CNVs may be the main factor that influences its effect. This study can contribute to an increased accuracy in genetic counseling and in predicting NIPS results that are positive for fetal CNVs.
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spelling pubmed-92646832022-07-09 Clinical evaluation of non-invasive prenatal screening for the detection of fetal genome-wide copy number variants Wang, Wenli Lu, Fengying Zhang, Bin Zhou, Qin Chen, Yingping Yu, Bin Orphanet J Rare Dis Research OBJECTIVE: This study explores and discusses the possible factors affecting the positive predictive value (PPV) of non-invasive prenatal screening (NIPS) for the detection of fetal copy number variants (CNVs) in pregnant women. METHODS: NIPS was performed for 50,972 pregnant women and 212 cases were suspected as fetal CNVs. Post additional genetic counseling for these women, 96 underwent invasive prenatal diagnosis (amniocentesis), following which they received chromosomal microarray analysis (CMA). We analyzed the PPV of NIPS for the detection of fetal CNVs and the possible interference factors that could affect the PPV. RESULTS: Among the 96 pregnant women that received prenatal diagnosis by CMA, 37 cases were confirmed to be true positive for fetal CNVs with a PPV of 38.5%. There was no significant difference between the women with different NIPS indications. Five cases were reported as the false positive and false negative of fetal CNVs and the differences were mainly reflected in the inconsistency of chromosome fragments. Depending on the sizes of the CNVs, the PPVs were 48.7% for CNVs < 3 Mb, 41.4% for CNVs falling within 3 ~ 5 Mb, 42.9% for the CNVs falling within 5 ~ 10 Mb, and 14.3% for CNVs > 10 Mb. Based on the chromosomal locations of CNVs, the PPV(4.8%) of the chromosomes of group C(including chromosomes 6 ~ 12), was lower than that of the other groups (41.2% ~ 66.7%) (p = 0.021). However, there were no significant differences in the CNV characteristics, fetal fractions, unique reads, and the Z-scores between these groups. CONCLUSION: NIPS with a low-coverage sequencing depth has a certain effect on detection of fetal CNVs with the PPV of 38.5%. Chromosomal locations of CNVs may be the main factor that influences its effect. This study can contribute to an increased accuracy in genetic counseling and in predicting NIPS results that are positive for fetal CNVs. BioMed Central 2022-07-08 /pmc/articles/PMC9264683/ /pubmed/35804426 http://dx.doi.org/10.1186/s13023-022-02406-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Wenli
Lu, Fengying
Zhang, Bin
Zhou, Qin
Chen, Yingping
Yu, Bin
Clinical evaluation of non-invasive prenatal screening for the detection of fetal genome-wide copy number variants
title Clinical evaluation of non-invasive prenatal screening for the detection of fetal genome-wide copy number variants
title_full Clinical evaluation of non-invasive prenatal screening for the detection of fetal genome-wide copy number variants
title_fullStr Clinical evaluation of non-invasive prenatal screening for the detection of fetal genome-wide copy number variants
title_full_unstemmed Clinical evaluation of non-invasive prenatal screening for the detection of fetal genome-wide copy number variants
title_short Clinical evaluation of non-invasive prenatal screening for the detection of fetal genome-wide copy number variants
title_sort clinical evaluation of non-invasive prenatal screening for the detection of fetal genome-wide copy number variants
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264683/
https://www.ncbi.nlm.nih.gov/pubmed/35804426
http://dx.doi.org/10.1186/s13023-022-02406-6
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