Editorial: Multiomics Approaches for Understanding Autism Spectrum Disorder -Exploring the Complexities of Autism Spectrum Disorder through Multiomics

Jernej Kovac ¹ Branko Aleksic ² Danijela Krgović ^3,4*

• ¹ Department of Special Laboratory Diagnostics, University Children’s Hospital, University Medical Centre, Ljubljana, Slovenia
• ² Graduate School of Medicine, Nagoya University, Nagoya, Aichi, Japan
• ³ Clinical Institute of Genetic Diagnostics, University Medical Centre Maribor, Maribor, Slovenia
• ⁴ Faculty of Medicine, Department of Molecular Biology, University of Maribor, Maribor, Slovenia

Collectively, these studies highlight the potential, of multiomics approaches in autism research. The range of genetic variants, including SHANK2 underscores the importance of large scale studies to discover both rare and common mutations associated with autism. The emerging discipline of neuroepitranscriptomics showcases the promise, of targeting RNA pathways to address neurodevelopmental issues. Additionally linking neural network changes with behavioral traits provides a strong foundation for creating interventions guided by neuroimaging. Lastly tools like literature mining pipelines demonstrate how computational techniques can gather knowledge, from various fields, to accelerate research in applications. This Research topic showcases how multiomics can help understand the aspects of ASD emphasizing the disorders complexity and the potential of tailored medicine. Researchers are getting closer to uncovering ASDs secrets by combining genomic, epigenomic and functional information with the goal of enhancing diagnosis and treatment results for those affected. These discoveries not drive progress in the field. They also underscore the need for teamwork, bringing together various fields of science to tackle one, of the challenging neurodevelopmental issues. Of our time.