A Computational Data Mining Strategy to Identify the Common Genetic Markers of Temporomandibular Joint Disorders and Osteoarthritis.

ABSTRACT: Statement of Problem  Prosthodontic planning in patients with temporomandibular joint disorders (TMDs) is a challenge for the clinicians. Purpose  A differential biomarker identification could aid in developing methods for early detection and confirmation of TMD from other related conditions. Materials and Methods  The present study identified candidate genes with possible association with TMDs. The observational study delineates genes from three datasets retrieved from DisGeNET database. The convergence of datasets identifies potential genes related to TMDs with associated complication such as osteoarthritis. Gene ontology analysis was also performed to identify the potential pathways associated with the genes belonging to each of the datasets. Results  The pre

SUBMITTER: Jayaseelan VP 

PROVIDER: S-EPMC9192168 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature