Unknown

Dataset Information

Identification of Potential Treatments for Acute Lymphoblastic Leukemia through Integrated Genomic Network Analysis.


ABSTRACT: The advancement of high-throughput sequencing and genomic analysis revealed that acute lymphoblastic leukemia (ALL) is a genetically heterogeneous disease. The abundance of such genetic data in ALL can also be utilized to identify potential targets for drug discovery and even drug repurposing. We aimed to determine potential genes for drug development and further guide the identification of candidate drugs repurposed for treating ALL through integrated genomic network analysis. Genetic variants associated with ALL were retrieved from the GWAS Catalog. We further applied a genomic-driven drug repurposing approach based on the six functional annotations to prioritize crucial biological ALL-related genes based on the scoring system. Lastly, we identified the potential drugs in which the mecha

SUBMITTER: Zazuli Z 

PROVIDER: S-EPMC9786277 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature