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A practical guideline of genomics-driven drug discovery in the era of global biobank meta-analysis
Genomics-driven drug discovery is indispensable for accelerating the development of novel therapeutic targets. However, the drug discovery framework based on evidence from genome-wide association studies (GWASs) has not been established, especially for cross-population GWAS meta-analysis. Here, we i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903693/ https://www.ncbi.nlm.nih.gov/pubmed/36778001 http://dx.doi.org/10.1016/j.xgen.2022.100190 |
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author | Namba, Shinichi Konuma, Takahiro Wu, Kuan-Han Zhou, Wei Okada, Yukinori |
author_facet | Namba, Shinichi Konuma, Takahiro Wu, Kuan-Han Zhou, Wei Okada, Yukinori |
author_sort | Namba, Shinichi |
collection | PubMed |
description | Genomics-driven drug discovery is indispensable for accelerating the development of novel therapeutic targets. However, the drug discovery framework based on evidence from genome-wide association studies (GWASs) has not been established, especially for cross-population GWAS meta-analysis. Here, we introduce a practical guideline for genomics-driven drug discovery for cross-population meta-analysis, as lessons from the Global Biobank Meta-analysis Initiative (GBMI). Our drug discovery framework encompassed three methodologies and was applied to the 13 common diseases targeted by GBMI (N(mean) = 1,329,242). Individual methodologies complementarily prioritized drugs and drug targets, which were systematically validated by referring previously known drug-disease relationships. Integration of the three methodologies provided a comprehensive catalog of candidate drugs for repositioning, nominating promising drug candidates targeting the genes involved in the coagulation process for venous thromboembolism and the interleukin-4 and interleukin-13 signaling pathway for gout. Our study highlighted key factors for successful genomics-driven drug discovery using cross-population meta-analyses. |
format | Online Article Text |
id | pubmed-9903693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99036932023-02-10 A practical guideline of genomics-driven drug discovery in the era of global biobank meta-analysis Namba, Shinichi Konuma, Takahiro Wu, Kuan-Han Zhou, Wei Okada, Yukinori Cell Genom Article Genomics-driven drug discovery is indispensable for accelerating the development of novel therapeutic targets. However, the drug discovery framework based on evidence from genome-wide association studies (GWASs) has not been established, especially for cross-population GWAS meta-analysis. Here, we introduce a practical guideline for genomics-driven drug discovery for cross-population meta-analysis, as lessons from the Global Biobank Meta-analysis Initiative (GBMI). Our drug discovery framework encompassed three methodologies and was applied to the 13 common diseases targeted by GBMI (N(mean) = 1,329,242). Individual methodologies complementarily prioritized drugs and drug targets, which were systematically validated by referring previously known drug-disease relationships. Integration of the three methodologies provided a comprehensive catalog of candidate drugs for repositioning, nominating promising drug candidates targeting the genes involved in the coagulation process for venous thromboembolism and the interleukin-4 and interleukin-13 signaling pathway for gout. Our study highlighted key factors for successful genomics-driven drug discovery using cross-population meta-analyses. Elsevier 2022-10-12 /pmc/articles/PMC9903693/ /pubmed/36778001 http://dx.doi.org/10.1016/j.xgen.2022.100190 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Namba, Shinichi Konuma, Takahiro Wu, Kuan-Han Zhou, Wei Okada, Yukinori A practical guideline of genomics-driven drug discovery in the era of global biobank meta-analysis |
title | A practical guideline of genomics-driven drug discovery in the era of global biobank meta-analysis |
title_full | A practical guideline of genomics-driven drug discovery in the era of global biobank meta-analysis |
title_fullStr | A practical guideline of genomics-driven drug discovery in the era of global biobank meta-analysis |
title_full_unstemmed | A practical guideline of genomics-driven drug discovery in the era of global biobank meta-analysis |
title_short | A practical guideline of genomics-driven drug discovery in the era of global biobank meta-analysis |
title_sort | practical guideline of genomics-driven drug discovery in the era of global biobank meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903693/ https://www.ncbi.nlm.nih.gov/pubmed/36778001 http://dx.doi.org/10.1016/j.xgen.2022.100190 |
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