Unveiling new genetic insights in rheumatoid arthritis for drug discovery through Taxonomy3 analysis.
Ontology highlight
ABSTRACT: Genetic support for a drug target has been shown to increase the probability of success in drug development, with the potential to reduce attrition in the pharmaceutical industry alongside discovering novel therapeutic targets. It is therefore important to maximise the detection of genetic associations that affect disease susceptibility. Conventional statistical methods such as genome-wide association studies (GWAS) only identify some of the genetic contribution to disease, so novel analytical approaches are required to extract additional insights. C4X Discovery has developed Taxonomy3, a unique method for analysing genetic datasets based on mathematics that is novel in drug discovery. When applied to a previously published rheumatoid arthritis GWAS dataset, Taxonomy3 identified many addit
SUBMITTER: Kozlowska J
PROVIDER: S-EPMC11186831 | biostudies-literature | 2024 Jun
REPOSITORIES: biostudies-literature
ACCESS DATA