Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders

Area of Science:

• Genetics
• Neuroscience
• Genomic Medicine

Background:

• Neurodevelopmental and neuropsychiatric disorders have complex genetic underpinnings.
• Current research predominantly focuses on protein-coding variations, potentially overlooking other crucial genetic factors.
• Non-coding regulatory regions, such as 3' untranslated regions (3'UTRs), are vital for precise gene expression in brain development.

Purpose of the Study:

• To investigate the role of 3' untranslated region (3'UTR) non-coding regulatory variants in neurodevelopmental and neuropsychiatric disorders.
• To develop and apply a pipeline for identifying and validating pathogenic variants in non-coding regulatory regions.
• To identify novel genetic risk factors for specific language impairment (SLI) and assess the broader impact of 3'UTR variants across other neurological conditions.

Main Methods:

• Development of a computational pipeline for identifying and functionally validating putatively pathogenic variants from next-generation sequencing (NGS) data.
• Application of the pipeline to a cohort of children with severe specific language impairment (SLI).
• Analysis of NGS data from cohorts with autism, schizophrenia, and bipolar disorder to identify 3'UTR regulatory variants.

Main Results:

• Identification of a functional, SLI-associated 3'UTR variant impacting gene regulation in cellular and post-mortem human brain samples.
• The identified variant and the associated gene, ARHGEF39, are proposed as new putative risk factors for SLI.
• Discovery of 3'UTR regulatory variants across autism, schizophrenia, and bipolar disorder cohorts, underscoring their significance in these conditions.

Conclusions:

• Non-coding regulatory variants in 3'UTRs play a significant role in the etiology of neurodevelopmental and neuropsychiatric disorders.
• Investigating these non-coding variants is essential for a comprehensive understanding of genetic risk factors.
• Future research integrating non-coding variation with protein-coding changes will be key to unraveling the genetic causes of complex neurological disorders.