Genetic Heterogeneity and Molecular Convergence Pathways of Autism Spectrum Disorder: From Genetic Risk Discovery to Integration of Neurobiological Mechanisms

Authors

  • Zhihui Wang

DOI:

https://doi.org/10.54097/y8w6h885

Keywords:

Autism Spectrum Disorder, Genetic Heterogeneity, Convergent Pathways, Synaptic Dysfunction, Precision Diagnosis.

Abstract

Autism Spectrum Disorder (ASD) presents with multiple clinical and genetic features. Genomic research during the last ten years has discovered numerous risk genes which include rare high-impact mutations together with common polygenic variants. The various cell types in the brain show different genetic and developmental patterns yet research indicates that multiple genetic disruptions lead to common biological pathways which control synaptic function and chromatin remodeling and ion channel signaling and immune regulation. The study of single-cell and spatial transcriptomics has revealed new information about how these processes occur at specific times and in particular cell types which shows that mid-fetal corticogenesis is a crucial developmental period and that excitatory projection neurons are particularly vulnerable. Scientists conduct maternal immune activation studies to determine how environmental disturbances create identical molecular pathways. This paper focuses on ASD through its genetic heterogeneity and convergent pathways and synaptic dysfunction and precision diagnosis, establishes a framework which connects genetic diversity to common neurobiological effects through the combination of genetic information with transcriptomic data and developmental analysis to create a basis for ASD precision medicine. The model would function as a guiding structure to lead biomarker research and patient classification and intervention development through analysis of personal molecular and developmental patterns.

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Published

10-02-2026

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How to Cite

Wang, Z. (2026). Genetic Heterogeneity and Molecular Convergence Pathways of Autism Spectrum Disorder: From Genetic Risk Discovery to Integration of Neurobiological Mechanisms. International Journal of Biology and Life Sciences, 13(2), 330-336. https://doi.org/10.54097/y8w6h885