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In-silico identification of deleterious non-synonymous SNPs of TBX1 gene: Functional and structural impact towards 22q11.2DS.
Almakhari, Maitha; Chen, Yan; Kong, Amanda Shen-Yee; Moradigaravand, Danesh; Lai, Kok-Song; Lim, Swee-Hua Erin; Loh, Jiun-Yan; Maran, Sathiya.
Affiliation
  • Almakhari M; Oxford Nanopore Department, Omics Centre of Excellence (Biogenix Labs) G42 Healthecare, Abu Dhabi, United Arab Emirates.
  • Chen Y; Hainan Key Laboratory for Conservation and Utilization of Tropical Marine Fishery Resources & Key Laboratory of Utilization and Conservation for Tropical Marine Bioresources of Ministry of Education, Hainan, PR China.
  • Kong AS; School of Pharmacy, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Selangor Darul Ehsan, Malaysia.
  • Moradigaravand D; Laboratory for Infectious Disease Epidemiology, KAUST Smart-Health Initiative and Biological and Environmental Science and Engineering (BESE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah, Saudi Arabia.
  • Lai KS; KAUST Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah, Saudi Arabia.
  • Lim SE; Health Sciences Division, Abu Dhabi Women's College, Higher Colleges of Technology, Abu Dhabi, United Arab Emirates.
  • Loh JY; Health Sciences Division, Abu Dhabi Women's College, Higher Colleges of Technology, Abu Dhabi, United Arab Emirates.
  • Maran S; Faculty of Applied Sciences, UCSI University, Kuala Lumpur, Malaysia.
PLoS One ; 19(6): e0298092, 2024.
Article in En | MEDLINE | ID: mdl-38905172
ABSTRACT
The TBX1 gene plays a critical role in the development of 22q11.2 deletion syndrome (22q11.2DS), a complex genetic disorder associated with various phenotypic manifestations. In this study, we performed in-silico analysis to identify potentially deleterious non-synonymous single nucleotide polymorphisms (nsSNPs) within the TBX1 gene and evaluate their functional and structural impact on 22q11.2DS. A comprehensive analysis pipeline involving multiple computational tools was employed to predict the pathogenicity of nsSNPs. This study assessed protein stability and explored potential alterations in protein-protein interactions. The results revealed the rs751339103(C>A), rs780800634(G>A), rs1936727304(T>C), rs1223320618(G>A), rs1248532217(T>C), rs1294927055 (C>T), rs1331240435 (A>G, rs1601289406 (A>C), rs1936726164 (G>A), and rs911796187(G>A) with a high-risk potential for affecting protein function and stability. These nsSNPs were further analyzed for their impact on post-translational modifications and structural characteristics, indicating their potential disruption of molecular pathways associated with TBX1 and its interacting partners. These findings provide a foundation for further experimental studies and elucidation of potential therapeutic targets and personalized treatment approaches for individuals affected by 22q11.2DS.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / T-Box Domain Proteins / Polymorphism, Single Nucleotide / DiGeorge Syndrome Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2024 Type: Article Affiliation country: United Arab Emirates

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / T-Box Domain Proteins / Polymorphism, Single Nucleotide / DiGeorge Syndrome Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2024 Type: Article Affiliation country: United Arab Emirates