Cargando…
Translating GWAS Findings to Inform Drug Repositioning Strategies for COVID-19 Treatment
We developed a computational framework that integrates Genome-Wide Association Studies (GWAS) and post-GWAS analyses, designed to facilitate drug repurposing for COVID-19 treatment. The comprehensive approach combines transcriptomic-wide associations, polygenic priority scoring, 3D genomics, viral-h...
Autores principales: | Tsai, Ming-Ju, Jeong, Sohyun, Yu, Fangtang, Chen, Ting-Fu, Li, Peng-Hsuan, Juan, Hsueh-Fen, Huang, Jia-Hsin, Hsu, Yi-Hsiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602133/ https://www.ncbi.nlm.nih.gov/pubmed/37886583 http://dx.doi.org/10.21203/rs.3.rs-3443080/v1 |
Ejemplares similares
-
Learning Opportunities for Drug Repositioning via GWAS and PheWAS Findings
por: Yin, Wen, et al.
Publicado: (2018) -
A Single-Cell Network-Based Drug Repositioning Strategy for Post-COVID-19 Pulmonary Fibrosis
por: Li, Albert, et al.
Publicado: (2022) -
Translating GWAS Findings to Novel Therapeutic Targets for Coronary Artery Disease
por: Shu, Le, et al.
Publicado: (2018) -
A Large-Scale Gene Expression Intensity-Based Similarity Metric for Drug Repositioning
por: Huang, Chen-Tsung, et al.
Publicado: (2018) -
Osteoporosis- and obesity-risk interrelationships: an epigenetic analysis of GWAS-derived SNPs at the developmental gene TBX15
por: Zhang, Xiao, et al.
Publicado: (2020)