Rincic Martina, Brecevic Lukrecija, Liehr Thomas, Gotovac Jercic Kristina, Doder Ines, Borovecki Fran
School of Medicine, Croatian Institute for Brain Research, University of Zagreb, Salata 12, 10000 Zagreb, Croatia.
Jena University Hospital, Institute of Human Genetics, Friedrich Schiller University, Am Klinikum 1, 07747 Jena, Germany.
Genes (Basel). 2025 Jul 24;16(8):868. doi: 10.3390/genes16080868.
Neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD), are genetically complex and often linked to structural genomic variations such as copy number variants (CNVs). Current diagnostic strategies face challenges in interpreting the clinical significance of such variants.
We developed a customized, gene-oriented chromosomal microarray (CMA) targeting 6026 genes relevant to neurodevelopment, aiming to improve diagnostic yield and candidate gene prioritization. A total of 39 patients with unexplained developmental delay, intellectual disability, and/or ASD were analyzed using this custom platform. Systems biology approaches were employed for downstream interpretation, including protein-protein interaction networks, centrality measures, and tissue-specific functional module analysis.
Pathogenic or likely pathogenic CNVs were identified in 31% of cases (9/29). Network analyses revealed candidate genes with key topological properties, including central "hubs" (e.g., , , ) and regulatory "bottlenecks" (e.g., , , ). Tissue- and cell-type-specific network modeling demonstrated widespread gene involvement in both prenatal and postnatal developmental modules, with glial and astrocytic networks showing notable enrichment. Several novel CNV regions with high pathogenic potential were identified and linked to neurodevelopmental phenotypes in individual patient cases.
Customized CMA offers enhanced detection of clinically relevant CNVs and provides a framework for prioritizing novel candidate genes based on biological network integration. This approach improves diagnostic accuracy in NDDs and identifies new targets for future functional and translational studies, highlighting the importance of glial involvement and immune-related pathways in neurodevelopmental pathology.
神经发育障碍(NDDs),包括自闭症谱系障碍(ASD),具有遗传复杂性,且常与结构基因组变异如拷贝数变异(CNVs)相关。当前的诊断策略在解释此类变异的临床意义上面临挑战。
我们开发了一种定制的、以基因为导向的染色体微阵列(CMA),靶向与神经发育相关的6026个基因,旨在提高诊断率并对候选基因进行优先级排序。使用这个定制平台对39例不明原因发育迟缓、智力残疾和/或ASD患者进行了分析。采用系统生物学方法进行下游解释,包括蛋白质 - 蛋白质相互作用网络、中心性度量和组织特异性功能模块分析。
在31%的病例(9/29)中鉴定出致病性或可能致病性CNVs。网络分析揭示了具有关键拓扑特性的候选基因,包括中心“枢纽”(例如, , , )和调节“瓶颈”(例如, , , )。组织和细胞类型特异性网络建模表明,基因广泛参与产前和产后发育模块,神经胶质和星形细胞网络显示出显著富集。确定了几个具有高致病潜力的新型CNV区域,并将其与个别患者病例中的神经发育表型相关联。
定制的CMA可增强对临床相关CNVs的检测,并提供基于生物网络整合对新型候选基因进行优先级排序的框架。这种方法提高了NDDs的诊断准确性,并确定了未来功能和转化研究的新靶点,突出了神经胶质参与和免疫相关途径在神经发育病理学中的重要性。