Hidden causal inference delineates dynamic lncRNA regulation in autism spectrum disorder.

Hidden causality analysis uncovers prevalent dynamic lncRNA regulatory patterns in autism spectrum disorder, involving 20 immune-related lncRNAs and eight susceptibility genes.

• Why it matters: Understanding the dynamic regulatory roles of lncRNAs in ASD is crucial because static methods fail to capture their complex, context-dependent interactions, limiting insights into disease mechanisms.
• What they did: The study developed DCRNet, a hidden causality-based framework, to infer lncRNA regulatory relationships across diverse biological contexts, analyzing data from ASD and control cohorts.
• The result: Findings reveal dark causality and dynamic regulation patterns, identify potential diagnostic biomarkers, and highlight immune-related lncRNAs, advancing understanding of ASD pathophysiology and potential interventions.