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Signal Attenuation as a Rat Model of Obsessive Compulsive Disorder
Published on: January 9, 2015
Rare Variants in Antisense Long Noncoding RNA-Protein-Coding Gene Overlap Regions Contribute to Obsessive-Compulsive
Seulgi Jung1,2, Madison Caballero1,2, Shelby Smout1,2
1Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York.
Background:
Obsessive-compulsive disorder (OCD) is a prevalent neuropsychiatric disorder with an incompletely understood genetic basis, limiting targeted therapeutic options. Although previous rare-variant studies have primarily focused on protein-coding genes, the contribution of rare regulatory noncoding variants remains largely unexplored.
Methods:
We analyzed whole-genome sequencing data from 2561 OCD cases and 12,974 controls from the All of Us Research Program to investigate rare conserved variants within 992 genomic regions where antisense long noncoding RNAs (lncRNAs) overlap protein-coding genes, using both Fisher's exact test and the Optimal Sequence Kernel Association Test for association testing.
Results:
We identified significant enrichment of rare conserved variants in the KNCN/MKNK1-AS1 overlap region in OCD cases (odds ratio = 5.1, false discovery rate < .05). This enrichment was significant in overlapping regions of genes with low evolutionary constraint. Expression analysis revealed strong coexpression of KNCN and MKNK1-AS1 specifically in striatal brain regions (nucleus accumbens: r = 0.83, putamen: r = 0.81, caudate: r = 0.79)-key components of circuits disrupted in OCD. Genes coexpressed with this regulatory pair were enriched for synaptic vesicle dynamics, calcium signaling, and established OCD risk genes from genome-wide association studies (false discovery rate < .05).
Conclusions:
These results highlight the importance of rare noncoding regulatory variation in OCD genetics. The association of KNCN/MKNK1-AS1 variants with OCD suggests that antisense lncRNA-protein-coding overlap regions may contribute to disease susceptibility and represent potential therapeutic targets.
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