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Towards precision medicine: Omics approach for COVID-19
The coronavirus disease 2019 (COVID-19) pandemic had a devastating impact on human society. Beginning with genome surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the development of omics technologies brought a clearer understanding of the complex SARS-CoV-2 and COVID-19...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Chinese Medical Association Publishing House. Published by Elsevier BV.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846903/ https://www.ncbi.nlm.nih.gov/pubmed/36687209 http://dx.doi.org/10.1016/j.bsheal.2023.01.002 |
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author | Cen, Xiaoping Wang, Fengao Huang, Xinhe Jovic, Dragomirka Dubee, Fred Yang, Huanming Li, Yixue |
author_facet | Cen, Xiaoping Wang, Fengao Huang, Xinhe Jovic, Dragomirka Dubee, Fred Yang, Huanming Li, Yixue |
author_sort | Cen, Xiaoping |
collection | PubMed |
description | The coronavirus disease 2019 (COVID-19) pandemic had a devastating impact on human society. Beginning with genome surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the development of omics technologies brought a clearer understanding of the complex SARS-CoV-2 and COVID-19. Here, we reviewed how omics, including genomics, proteomics, single-cell multi-omics, and clinical phenomics, play roles in answering biological and clinical questions about COVID-19. Large-scale sequencing and advanced analysis methods facilitate COVID-19 discovery from virus evolution and severity risk prediction to potential treatment identification. Omics would indicate precise and globalized prevention and medicine for the COVID-19 pandemic under the utilization of big data capability and phenotypes refinement. Furthermore, decoding the evolution rule of SARS-CoV-2 by deep learning models is promising to forecast new variants and achieve more precise data to predict future pandemics and prevent them on time. |
format | Online Article Text |
id | pubmed-9846903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Chinese Medical Association Publishing House. Published by Elsevier BV. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98469032023-01-18 Towards precision medicine: Omics approach for COVID-19 Cen, Xiaoping Wang, Fengao Huang, Xinhe Jovic, Dragomirka Dubee, Fred Yang, Huanming Li, Yixue Biosaf Health Review Article The coronavirus disease 2019 (COVID-19) pandemic had a devastating impact on human society. Beginning with genome surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the development of omics technologies brought a clearer understanding of the complex SARS-CoV-2 and COVID-19. Here, we reviewed how omics, including genomics, proteomics, single-cell multi-omics, and clinical phenomics, play roles in answering biological and clinical questions about COVID-19. Large-scale sequencing and advanced analysis methods facilitate COVID-19 discovery from virus evolution and severity risk prediction to potential treatment identification. Omics would indicate precise and globalized prevention and medicine for the COVID-19 pandemic under the utilization of big data capability and phenotypes refinement. Furthermore, decoding the evolution rule of SARS-CoV-2 by deep learning models is promising to forecast new variants and achieve more precise data to predict future pandemics and prevent them on time. Chinese Medical Association Publishing House. Published by Elsevier BV. 2023-04 2023-01-18 /pmc/articles/PMC9846903/ /pubmed/36687209 http://dx.doi.org/10.1016/j.bsheal.2023.01.002 Text en © 2023 Chinese Medical Association Publishing House. Published by Elsevier BV. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Review Article Cen, Xiaoping Wang, Fengao Huang, Xinhe Jovic, Dragomirka Dubee, Fred Yang, Huanming Li, Yixue Towards precision medicine: Omics approach for COVID-19 |
title | Towards precision medicine: Omics approach for COVID-19 |
title_full | Towards precision medicine: Omics approach for COVID-19 |
title_fullStr | Towards precision medicine: Omics approach for COVID-19 |
title_full_unstemmed | Towards precision medicine: Omics approach for COVID-19 |
title_short | Towards precision medicine: Omics approach for COVID-19 |
title_sort | towards precision medicine: omics approach for covid-19 |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846903/ https://www.ncbi.nlm.nih.gov/pubmed/36687209 http://dx.doi.org/10.1016/j.bsheal.2023.01.002 |
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