PMID- 35707787 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220716 IS - 2699-9404 (Electronic) IS - 2699-9404 (Linking) VI - 9 IP - 2 DP - 2022 Jun TI - A Computational Data Mining Strategy to Identify the Common Genetic Markers of Temporomandibular Joint Disorders and Osteoarthritis. PG - 159-165 LID - 10.1055/s-0042-1743571 [doi] AB - 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 preliminary analysis revealed vascular endothelial growth factor A ( VEGFA ), interleukin 1 beta ( IL1B , and estrogen receptor 1 ( ESR1 ) as the common genes associated with all three phenotypes assessed. The gene ontology analysis revealed functional pathways in which the genes of each dataset were clustered. The chemokine and cytokine signaling pathway, gonadotropin-releasing hormone receptor pathway, cholecystokinin receptors (CCKR) signaling, and tumor growth factor (TGF)-beta signaling pathway were the pathways most commonly associated with the phenotypes. The genes CCL2, IL6 , and IL1B were found to be the common genes across temporomandibular joint (TMJ) and TMJ + osteoarthritis (TMJ-OA) datasets. Conclusion Analysis through computational approach has revealed IL1B as the crucial candidate gene which could have a strong association with bone disorders. Nevertheless, several immunological pathways have also identified numerous genes showing putative association with TMJ and other related diseases. These genes have to be further validated using experimental approaches to acquire clarity on the mechanisms related to the pathogenesis. CI - The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. ( https://creativecommons.org/licenses/by/4.0/ ). FAU - Jayaseelan, Vijayashree Priyadharsini AU - Jayaseelan VP AUID- ORCID: 0000-0001-7884-5466 AD - Clinical Genetics Lab, Cellular and Molecular Research Centre, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Poonamallee High Road, Chennai, Tamil Nadu, India. FAU - Arumugam, Paramasivam AU - Arumugam P AUID- ORCID: 0000-0001-6117-1178 AD - Molecular Biology Lab, Cellular and Molecular Research Centre, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Poonamallee High Road, Chennai, Tamil Nadu, India. LA - eng PT - Journal Article DEP - 20220309 PL - Germany TA - Glob Med Genet JT - Global medical genetics JID - 101769583 PMC - PMC9192168 OTO - NOTNLM OT - computational approach OT - genetic markers OT - inflammation OT - osteoarthritis OT - temporomandibular joint disorders COIS- Conflict of Interest None declared. EDAT- 2022/06/17 06:00 MHDA- 2022/06/17 06:01 PMCR- 2022/03/01 CRDT- 2022/06/16 02:45 PHST- 2021/12/27 00:00 [received] PHST- 2022/01/27 00:00 [accepted] PHST- 2022/06/16 02:45 [entrez] PHST- 2022/06/17 06:00 [pubmed] PHST- 2022/06/17 06:01 [medline] PHST- 2022/03/01 00:00 [pmc-release] AID - 2100075 [pii] AID - 10.1055/s-0042-1743571 [doi] PST - epublish SO - Glob Med Genet. 2022 Mar 9;9(2):159-165. doi: 10.1055/s-0042-1743571. eCollection 2022 Jun.