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Simultaneous detection of genomic imbalance in patients receiving preimplantation genetic testing for monogenic diseases (PGT-M)
Background: Preimplantation genetic test for monogenic disorders (PGT-M) has been used to select genetic disease-free embryos for implantation during in vitro fertilization (IVF) treatment. However, embryos tested by PGT-M have risks of harboring chromosomal aneuploidy. Hence, a universal method to...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559864/ https://www.ncbi.nlm.nih.gov/pubmed/36246639 http://dx.doi.org/10.3389/fgene.2022.976131 |
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author | Yang, Lin Xu, Yan Xia, Jun Yan, Huijuan Ding, Chenhui Shi, Qianyu Wu, Yujing Liu, Ping Pan, Jiafu Zeng, Yanhong Zhang, Yanyan Chen, Fang Jiang, Hui Xu, Yanwen Li, Wei Zhou, Canquan Gao, Ya |
author_facet | Yang, Lin Xu, Yan Xia, Jun Yan, Huijuan Ding, Chenhui Shi, Qianyu Wu, Yujing Liu, Ping Pan, Jiafu Zeng, Yanhong Zhang, Yanyan Chen, Fang Jiang, Hui Xu, Yanwen Li, Wei Zhou, Canquan Gao, Ya |
author_sort | Yang, Lin |
collection | PubMed |
description | Background: Preimplantation genetic test for monogenic disorders (PGT-M) has been used to select genetic disease-free embryos for implantation during in vitro fertilization (IVF) treatment. However, embryos tested by PGT-M have risks of harboring chromosomal aneuploidy. Hence, a universal method to detect monogenic diseases and genomic imbalances is required. Methods: Here, we report a novel PGT-A/M procedure allowing simultaneous detection of monogenic diseases and genomic imbalances in one experiment. Library was prepared in a special way that multiplex polymerase chain reaction (PCR) was integrated into the process of whole genome amplification. The resulting library was used for one-step low-pass whole genome sequencing (WGS) and high-depth target enrichment sequencing (TES). Results: The TAGs-seq PGT-A/M was first validated with genomic DNA (gDNA) and the multiple displacement amplification (MDA) products of a cell line. Over 90% of sequencing reads covered the whole-genome region with around 0.3–0.4 × depth, while around 5.4%–7.3% of reads covered target genes with >10000 × depth. Then, for clinical validation, 54 embryos from 8 women receiving PGT-M of β-thalassemia were tested by the TAGs-seq PGT-A/M. In each embryo, an average of 20.0 million reads with 0.3 × depth of the whole-genome region was analyzed for genomic imbalance, while an average of 0.9 million reads with 11260.0 × depth of the target gene HBB were analyzed for β-thalassemia. Eventually, 18 embryos were identified with genomic imbalance with 81.1% consistency to karyomapping results. 10 embryos contained β-thalassemia with 100% consistency to conventional PGT-M method. Conclusion: TAGs-seq PGT-A/M simultaneously detected genomic imbalance and monogenic disease in embryos without dramatic increase of sequencing data output. |
format | Online Article Text |
id | pubmed-9559864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95598642022-10-14 Simultaneous detection of genomic imbalance in patients receiving preimplantation genetic testing for monogenic diseases (PGT-M) Yang, Lin Xu, Yan Xia, Jun Yan, Huijuan Ding, Chenhui Shi, Qianyu Wu, Yujing Liu, Ping Pan, Jiafu Zeng, Yanhong Zhang, Yanyan Chen, Fang Jiang, Hui Xu, Yanwen Li, Wei Zhou, Canquan Gao, Ya Front Genet Genetics Background: Preimplantation genetic test for monogenic disorders (PGT-M) has been used to select genetic disease-free embryos for implantation during in vitro fertilization (IVF) treatment. However, embryos tested by PGT-M have risks of harboring chromosomal aneuploidy. Hence, a universal method to detect monogenic diseases and genomic imbalances is required. Methods: Here, we report a novel PGT-A/M procedure allowing simultaneous detection of monogenic diseases and genomic imbalances in one experiment. Library was prepared in a special way that multiplex polymerase chain reaction (PCR) was integrated into the process of whole genome amplification. The resulting library was used for one-step low-pass whole genome sequencing (WGS) and high-depth target enrichment sequencing (TES). Results: The TAGs-seq PGT-A/M was first validated with genomic DNA (gDNA) and the multiple displacement amplification (MDA) products of a cell line. Over 90% of sequencing reads covered the whole-genome region with around 0.3–0.4 × depth, while around 5.4%–7.3% of reads covered target genes with >10000 × depth. Then, for clinical validation, 54 embryos from 8 women receiving PGT-M of β-thalassemia were tested by the TAGs-seq PGT-A/M. In each embryo, an average of 20.0 million reads with 0.3 × depth of the whole-genome region was analyzed for genomic imbalance, while an average of 0.9 million reads with 11260.0 × depth of the target gene HBB were analyzed for β-thalassemia. Eventually, 18 embryos were identified with genomic imbalance with 81.1% consistency to karyomapping results. 10 embryos contained β-thalassemia with 100% consistency to conventional PGT-M method. Conclusion: TAGs-seq PGT-A/M simultaneously detected genomic imbalance and monogenic disease in embryos without dramatic increase of sequencing data output. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9559864/ /pubmed/36246639 http://dx.doi.org/10.3389/fgene.2022.976131 Text en Copyright © 2022 Yang, Xu, Xia, Yan, Ding, Shi, Wu, Liu, Pan, Zeng, Zhang, Chen, Jiang, Xu, Li, Zhou and Gao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Yang, Lin Xu, Yan Xia, Jun Yan, Huijuan Ding, Chenhui Shi, Qianyu Wu, Yujing Liu, Ping Pan, Jiafu Zeng, Yanhong Zhang, Yanyan Chen, Fang Jiang, Hui Xu, Yanwen Li, Wei Zhou, Canquan Gao, Ya Simultaneous detection of genomic imbalance in patients receiving preimplantation genetic testing for monogenic diseases (PGT-M) |
title | Simultaneous detection of genomic imbalance in patients receiving preimplantation genetic testing for monogenic diseases (PGT-M) |
title_full | Simultaneous detection of genomic imbalance in patients receiving preimplantation genetic testing for monogenic diseases (PGT-M) |
title_fullStr | Simultaneous detection of genomic imbalance in patients receiving preimplantation genetic testing for monogenic diseases (PGT-M) |
title_full_unstemmed | Simultaneous detection of genomic imbalance in patients receiving preimplantation genetic testing for monogenic diseases (PGT-M) |
title_short | Simultaneous detection of genomic imbalance in patients receiving preimplantation genetic testing for monogenic diseases (PGT-M) |
title_sort | simultaneous detection of genomic imbalance in patients receiving preimplantation genetic testing for monogenic diseases (pgt-m) |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559864/ https://www.ncbi.nlm.nih.gov/pubmed/36246639 http://dx.doi.org/10.3389/fgene.2022.976131 |
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