Cargando…

Noninvasive fetal genotyping of single nucleotide variants and linkage analysis for prenatal diagnosis of monogenic disorders

BACKGROUND: High-cost, time-consuming and complex processes of several current approaches limit the use of noninvasive prenatal diagnosis (NIPD) for monogenic disorders in clinical application. Thus, a more cost-effective and easily implementable approach is required. METHODS: We established a low-c...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Wenman, Zhou, Xuanyou, Jiang, Zhengwen, Zhang, Dazhi, Yu, Feng, Zhang, Lanlan, Wang, Xuefeng, Chen, Songchang, Xu, Chenming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327225/
https://www.ncbi.nlm.nih.gov/pubmed/35897115
http://dx.doi.org/10.1186/s40246-022-00400-4
_version_ 1784757461659418624
author Wu, Wenman
Zhou, Xuanyou
Jiang, Zhengwen
Zhang, Dazhi
Yu, Feng
Zhang, Lanlan
Wang, Xuefeng
Chen, Songchang
Xu, Chenming
author_facet Wu, Wenman
Zhou, Xuanyou
Jiang, Zhengwen
Zhang, Dazhi
Yu, Feng
Zhang, Lanlan
Wang, Xuefeng
Chen, Songchang
Xu, Chenming
author_sort Wu, Wenman
collection PubMed
description BACKGROUND: High-cost, time-consuming and complex processes of several current approaches limit the use of noninvasive prenatal diagnosis (NIPD) for monogenic disorders in clinical application. Thus, a more cost-effective and easily implementable approach is required. METHODS: We established a low-cost and convenient test to noninvasively deduce fetal genotypes of the mutation and single nucleotide polymorphisms (SNPs) loci by means of targeted amplification combined with deep sequencing of maternal genomic and plasma DNA. The sequential probability ratio test was performed to detect the allelic imbalance in maternal plasma. This method can be employed to directly examine familial pathogenic mutations in the fetal genome, as well as infer the inheritance of parental haplotypes through a group of selected SNPs linked to the pathogenic mutation. RESULTS: The fetal mutations in 17 families with different types of monogenic disorders including hemophilia A, von Willebrand disease type 3, Duchenne muscular dystrophy, hyper-IgM type 1, glutaric acidemia type I, Nagashima-type palmoplantar keratosis, and familial exudative vitreoretinopathy were identified in the study. The mutations included various forms: point mutations, gene inversion, deletions/insertions and duplication. The results of 12 families were verified by sequencing of amniotic fluid samples, the accuracy of the approach in fetal genotyping at the mutation and SNPs loci was 98.85% (172/174 loci), and the no-call rate was 28.98% (71/245 loci). The overall accuracy was 12/12 (100%). Moreover, the approach was successfully applied in plasma samples with a fetal fraction as low as 2.3%. CONCLUSIONS: We have shown in this study that the approach is a cost-effective, less time consuming and accurate method for NIPD of monogenic disorders. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-022-00400-4.
format Online
Article
Text
id pubmed-9327225
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-93272252022-07-28 Noninvasive fetal genotyping of single nucleotide variants and linkage analysis for prenatal diagnosis of monogenic disorders Wu, Wenman Zhou, Xuanyou Jiang, Zhengwen Zhang, Dazhi Yu, Feng Zhang, Lanlan Wang, Xuefeng Chen, Songchang Xu, Chenming Hum Genomics Research BACKGROUND: High-cost, time-consuming and complex processes of several current approaches limit the use of noninvasive prenatal diagnosis (NIPD) for monogenic disorders in clinical application. Thus, a more cost-effective and easily implementable approach is required. METHODS: We established a low-cost and convenient test to noninvasively deduce fetal genotypes of the mutation and single nucleotide polymorphisms (SNPs) loci by means of targeted amplification combined with deep sequencing of maternal genomic and plasma DNA. The sequential probability ratio test was performed to detect the allelic imbalance in maternal plasma. This method can be employed to directly examine familial pathogenic mutations in the fetal genome, as well as infer the inheritance of parental haplotypes through a group of selected SNPs linked to the pathogenic mutation. RESULTS: The fetal mutations in 17 families with different types of monogenic disorders including hemophilia A, von Willebrand disease type 3, Duchenne muscular dystrophy, hyper-IgM type 1, glutaric acidemia type I, Nagashima-type palmoplantar keratosis, and familial exudative vitreoretinopathy were identified in the study. The mutations included various forms: point mutations, gene inversion, deletions/insertions and duplication. The results of 12 families were verified by sequencing of amniotic fluid samples, the accuracy of the approach in fetal genotyping at the mutation and SNPs loci was 98.85% (172/174 loci), and the no-call rate was 28.98% (71/245 loci). The overall accuracy was 12/12 (100%). Moreover, the approach was successfully applied in plasma samples with a fetal fraction as low as 2.3%. CONCLUSIONS: We have shown in this study that the approach is a cost-effective, less time consuming and accurate method for NIPD of monogenic disorders. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-022-00400-4. BioMed Central 2022-07-27 /pmc/articles/PMC9327225/ /pubmed/35897115 http://dx.doi.org/10.1186/s40246-022-00400-4 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
Wu, Wenman
Zhou, Xuanyou
Jiang, Zhengwen
Zhang, Dazhi
Yu, Feng
Zhang, Lanlan
Wang, Xuefeng
Chen, Songchang
Xu, Chenming
Noninvasive fetal genotyping of single nucleotide variants and linkage analysis for prenatal diagnosis of monogenic disorders
title Noninvasive fetal genotyping of single nucleotide variants and linkage analysis for prenatal diagnosis of monogenic disorders
title_full Noninvasive fetal genotyping of single nucleotide variants and linkage analysis for prenatal diagnosis of monogenic disorders
title_fullStr Noninvasive fetal genotyping of single nucleotide variants and linkage analysis for prenatal diagnosis of monogenic disorders
title_full_unstemmed Noninvasive fetal genotyping of single nucleotide variants and linkage analysis for prenatal diagnosis of monogenic disorders
title_short Noninvasive fetal genotyping of single nucleotide variants and linkage analysis for prenatal diagnosis of monogenic disorders
title_sort noninvasive fetal genotyping of single nucleotide variants and linkage analysis for prenatal diagnosis of monogenic disorders
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327225/
https://www.ncbi.nlm.nih.gov/pubmed/35897115
http://dx.doi.org/10.1186/s40246-022-00400-4
work_keys_str_mv AT wuwenman noninvasivefetalgenotypingofsinglenucleotidevariantsandlinkageanalysisforprenataldiagnosisofmonogenicdisorders
AT zhouxuanyou noninvasivefetalgenotypingofsinglenucleotidevariantsandlinkageanalysisforprenataldiagnosisofmonogenicdisorders
AT jiangzhengwen noninvasivefetalgenotypingofsinglenucleotidevariantsandlinkageanalysisforprenataldiagnosisofmonogenicdisorders
AT zhangdazhi noninvasivefetalgenotypingofsinglenucleotidevariantsandlinkageanalysisforprenataldiagnosisofmonogenicdisorders
AT yufeng noninvasivefetalgenotypingofsinglenucleotidevariantsandlinkageanalysisforprenataldiagnosisofmonogenicdisorders
AT zhanglanlan noninvasivefetalgenotypingofsinglenucleotidevariantsandlinkageanalysisforprenataldiagnosisofmonogenicdisorders
AT wangxuefeng noninvasivefetalgenotypingofsinglenucleotidevariantsandlinkageanalysisforprenataldiagnosisofmonogenicdisorders
AT chensongchang noninvasivefetalgenotypingofsinglenucleotidevariantsandlinkageanalysisforprenataldiagnosisofmonogenicdisorders
AT xuchenming noninvasivefetalgenotypingofsinglenucleotidevariantsandlinkageanalysisforprenataldiagnosisofmonogenicdisorders