COMPUTATIONAL ANALYSIS OF METTL5 GENE VARIANTS IMPLICATED IN INTELLECTUAL DISABILITY

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Saima
Muhammad Haris Ali Khan
Rimsha Kanwal
Shafaq Saqib
Syed Muhammad Waleed
Humayoun Huma Maqbool
Syeda Nida Fatima
Mureed Hussain

Abstract

Its relationship to intellectual impairment (ID) in people is METTL5. Mutations in METTL5 have been linked to mild to severe forms of ID, which can manifest as deformities, seizures, microcephaly, short stature, and muscular hypotonia. The METTL5 gene is present on chromosome no 2. The METTL5 gene form a complex with TRMT112 and work normally. Due to knockdown of TRMT112 molecule the METTL5 gene expression is low in the body. In this study, bioinformatics approach has been used to predicted the coding and non-coding variants that effect the function, stability, splice site and non-coding region of METTL5 gene. A total of 66 missense variants in METTL5 gene were predicted to be pathogenic by CADD and meta-SNP. These mutations were analyzed by Cupsat, Dynamut and Duet for their effect on stability and variations were predicted pathogenic overall. 60 of the 61 variations were predicted to be affecting the function of the gene by Mutpred .5 variations D49Y, D103G, L76W, G130Eand K194N were predicted by Scan prosite and netsurf to affecting the PTM mechanism of the protein. These 61 missense variants were visualized by Chimera. CADD predicted 15splice site variants out or which 10 were pathogenic and further analyzed for their effect by SPiCE v2.1, Splice AI and Mutation Taster. None of variations with uncertain significance found in splice site were predicted to affecting the splicing mechanism of the gene. The Regulome DB was used for the analysis of non-coding variants and predicted that less effect on the TF binding site of METTL5 gene. Data can be used for the early detection of mutations in METTL5 by cloning the mutation individually and determining their effect in vectors by mutagenesis. These findings contribute to our understanding of METTL5 gene representing complex disease features. This study demonstrated the importance of bioinformatics in determining highly pathogenic variants associated with the functional and structural relationship of METTL5.

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COMPUTATIONAL ANALYSIS OF METTL5 GENE VARIANTS IMPLICATED IN INTELLECTUAL DISABILITY. (2026). The Research of Medical Science Review, 4(3), 1045-1075. https://medicalsciencereview.com/index.php/Journal/article/view/3385