Abstract
Objective: Autism Spectrum Disorder (ASD) is a genetically heterogeneous neurodevelopmental condition involving multiple genes. This study aimed to comprehensively review the genetic landscape of ASD in the Iranian population, identifying gene variants associated with increased risk, to facilitate improved diagnosis and targeted interventions. Method : A systematic review and meta-analysis were conducted on genetic association studies of ASD in Iran up to August 2025. Comprehensive searches were performed in PubMed, Scopus, Web of Science, and Persian databases using relevant keywords. Quality assessment was performed using the Joanna Briggs Institute critical appraisal tools. Meta-analyses were carried out using Review Manager software, assessing heterogeneity and publication bias. Protein-protein interaction networks were constructed via STRING and analyzed with Cytoscape to identify key hub genes and enriched neurodevelopmental pathways. Results: In this study, genes RORA, MTRR, MTR, Reelin, VDR, VMAT1, ACE I/D, MOCOS, HOTAIR, ANRIL, RIT2, MMP-9, GRM7, FOXP3, and GRIN2B showed significant associations with the occurrence of autism. Findings reinforce associations between multiple gene polymorphisms, especially RORA rs4774388 and MOCOS rs594445, with the risk of ASD. Conclusion: This systematic review and meta-analysis emphasize the multifactorial genetic contributions to ASD in the Iranian population, highlighting key risk loci and neurodevelopmental pathways. The findings underscore the importance of integrating genetic, epigenetic, and environmental factors for understanding ASD etiology and developing population-tailored diagnostic and therapeutic strategies. Future studies employing larger cohorts and multi-omics approaches are warranted to further elucidate the complex genetic architecture of ASD in diverse ethnic groups.