Screening of OTULIN gene mutation with targeted next generation sequencing in Turkish populations and in silico analysis of these mutations


MOLECULAR BIOLOGY REPORTS, 2022 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Publication Date: 2022
  • Doi Number: 10.1007/s11033-022-07312-5
  • Keywords: ORAS, OTULIN gene, Next generation sequencing, In silico analysis, Rare autoinflammatory disease, AMINO-ACID SUBSTITUTIONS, PROTEIN STABILITY, WEB SERVER, UBIQUITIN, PREDICTION, TOOL


Background OTULIN-related autoinflammatory syndrome (ORAS) is an autosomal recessive disease characterized by systemic inflammation, recurrent fever. Due to limited knowledge about the OTULIN DNA variants that cause ORAS, the diagnosis and treatment of this disease is difficult. In this study, we aim to identify OTULIN DNA variants responsible for the genetic pathology of ORAS and observe the effects of these variants on the OTULIN protein structure and the function with different bioinformatics approaches. Methods The present study included 3230 individuals with the suspicion of an autoinflammatory disease who were referred to Ege University Children's Hospital Molecular Medicine Laboratory. OTULIN variants were detected using a panel consisting of 37 different autoinflammatory diseases (AID) genes via targeted Next-Generation Sequencing. Results As a result of the study, DNA variants associated with various AID were detected in 65% of the individuals to whom the panel was applied. Among these variants, only three different OTULIN variants (p.Val82Ile, p.Gln115His and p.Leu131_Arg132insLeuCysThrGlu) were detected. The pathogenic effects of the variants detected in the OTULIN gene were determined by using Polyphen2 as "Probably Pathogenic" for the p.Val82Ile and "benign" for the p.Gln115His. At the same time, the effects of these variants on the structure and function of the OTULIN protein were investigated by in silico approaches. Both variants reduce protein stability and binding affinity. Conclusion The results of the current study suggest that the evaluation of OTULIN variants with in silico approaches will contribute to the development of personalized treatments by diagnosing the disease specific to the variant.