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Populational pan-ethnic screening panel enabled by deep whole genome sequencing
Birth defect is a global threat to the public health systems. Mitigating neonatal anomalies is hampered by elusive molecular mechanisms of pathogenic mutations and poor subsequent translation into preventative measures. Applying appropriate strategies in China to promote reproductive health is parti...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661700/ https://www.ncbi.nlm.nih.gov/pubmed/37985665 http://dx.doi.org/10.1038/s41525-023-00383-8 |
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author | Yang, Linfeng Lin, Zhe Gao, Yong Zhang, Jianguo Peng, Huanhuan Li, Yaqing Che, Jingang Zhao, Lijian Zhang, Jilin |
author_facet | Yang, Linfeng Lin, Zhe Gao, Yong Zhang, Jianguo Peng, Huanhuan Li, Yaqing Che, Jingang Zhao, Lijian Zhang, Jilin |
author_sort | Yang, Linfeng |
collection | PubMed |
description | Birth defect is a global threat to the public health systems. Mitigating neonatal anomalies is hampered by elusive molecular mechanisms of pathogenic mutations and poor subsequent translation into preventative measures. Applying appropriate strategies in China to promote reproductive health is particularly challenging, as the Chinese population compromises complex genomic diversity due to the inclusion of many ethnic groups with distinct genetic backgrounds. To investigate and evaluate the feasibility of implementing a pan-ethnic screening strategy, and guide future reproductive counselling, high-quality variants associated with autosome recessive (AR) diseases derived from the largest publicly available cohort of the Chinese population were re-analysed using a bottom-up approach. The analyses of gene carrier rates (GCRs) across distinct ethnic groups revealed that substantial heterogeneity existed potentially due to diverse evolutionary selection. The sampling population, sequencing coverage and underlying population structure contributed to the differential variants observed between ChinaMAP and the East Asian group in gnomAD. Beyond characteristics of GCR, potential druggable targets were additionally explored according to genomic features and functional roles of investigated genes, demonstrating that phase separation could be a therapeutic target for autosomal recessive diseases. A further examination of estimated GCR across ethnic groups indicated that most genes shared by at least two populations could be utilised to direct the design of a pan-ethnic screening application once sequencing and interpreting costs become negligible. To this end, a list of autosomal recessive disease genes is proposed based on the prioritised rank of GCR to formulate a tiered screening strategy. |
format | Online Article Text |
id | pubmed-10661700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106617002023-11-20 Populational pan-ethnic screening panel enabled by deep whole genome sequencing Yang, Linfeng Lin, Zhe Gao, Yong Zhang, Jianguo Peng, Huanhuan Li, Yaqing Che, Jingang Zhao, Lijian Zhang, Jilin NPJ Genom Med Article Birth defect is a global threat to the public health systems. Mitigating neonatal anomalies is hampered by elusive molecular mechanisms of pathogenic mutations and poor subsequent translation into preventative measures. Applying appropriate strategies in China to promote reproductive health is particularly challenging, as the Chinese population compromises complex genomic diversity due to the inclusion of many ethnic groups with distinct genetic backgrounds. To investigate and evaluate the feasibility of implementing a pan-ethnic screening strategy, and guide future reproductive counselling, high-quality variants associated with autosome recessive (AR) diseases derived from the largest publicly available cohort of the Chinese population were re-analysed using a bottom-up approach. The analyses of gene carrier rates (GCRs) across distinct ethnic groups revealed that substantial heterogeneity existed potentially due to diverse evolutionary selection. The sampling population, sequencing coverage and underlying population structure contributed to the differential variants observed between ChinaMAP and the East Asian group in gnomAD. Beyond characteristics of GCR, potential druggable targets were additionally explored according to genomic features and functional roles of investigated genes, demonstrating that phase separation could be a therapeutic target for autosomal recessive diseases. A further examination of estimated GCR across ethnic groups indicated that most genes shared by at least two populations could be utilised to direct the design of a pan-ethnic screening application once sequencing and interpreting costs become negligible. To this end, a list of autosomal recessive disease genes is proposed based on the prioritised rank of GCR to formulate a tiered screening strategy. Nature Publishing Group UK 2023-11-20 /pmc/articles/PMC10661700/ /pubmed/37985665 http://dx.doi.org/10.1038/s41525-023-00383-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yang, Linfeng Lin, Zhe Gao, Yong Zhang, Jianguo Peng, Huanhuan Li, Yaqing Che, Jingang Zhao, Lijian Zhang, Jilin Populational pan-ethnic screening panel enabled by deep whole genome sequencing |
title | Populational pan-ethnic screening panel enabled by deep whole genome sequencing |
title_full | Populational pan-ethnic screening panel enabled by deep whole genome sequencing |
title_fullStr | Populational pan-ethnic screening panel enabled by deep whole genome sequencing |
title_full_unstemmed | Populational pan-ethnic screening panel enabled by deep whole genome sequencing |
title_short | Populational pan-ethnic screening panel enabled by deep whole genome sequencing |
title_sort | populational pan-ethnic screening panel enabled by deep whole genome sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661700/ https://www.ncbi.nlm.nih.gov/pubmed/37985665 http://dx.doi.org/10.1038/s41525-023-00383-8 |
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