In silico functional, structural, and pathogenicity assessment of single nucleotide polymorphisms in the human SOX9 gene
Abstract
Single-nucleotide polymorphisms (SNPs) play a crucial role in the genetic basis of various human diseases and have the potential to serve as valuable biomarkers for disease prediction and personalized treatment. SNPs alter the genetic sequence that produce muted gene and subsequently mutated gene encode altered amino acid residues that can produce the misfolded protein. The SRY-box transcription factor 9, also known as SOX9, is a key determinant for cell growth and has a significant impact on the development of breast cancer. The molecular mechanisms by which missense SNPs in SOX9 influence the Wnt/β-catenin signalling pathway and contribute to tumour development in SOX9 members remain poorly understood and require further elucidation. Therefore, various computational methods based on sequence and structure were employed to investigate how mutations affect the SOX9 protein. We identified 5,029 SNPs in the SOX9 gene, of which 1,158 were missense (23.03%), 494 were synonymous (9.82%), and 3,377 were intronic (67.15%). SIFT analysis predicted that nine mutations were deleterious. Seven of these missense SNPs (D85H, F154L, A158T, H165Y, K173E, D441N, and G457D) were found to be damaging, potentially harmful, effective, disease-related, and highly deleterious. A high-risk mutation D85H located within the SOX9 DNA-binding HMG box domain PF00505 suggests a potential role in disease causation. Further, molecular dynamics (MD) simulation revealed variations in RMSD and RMSF values,…
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