Nature GeneticsGenetic & Genomic MedicinePeer-reviewed journal article
Systematic analysis of snRNA genes reveals frequent RNU2-2 variants in dominant and recessive developmental and epileptic encephalopathies
Elsa LeitãoiD, Amandine SantiniiD, Benjamin CognéiD, Miriam EssidiD, Maria AthanasiadouiD, Christy W. LaFlammeiD, Pierre MarijoniD, Virginie Bernard, Kévin Jousselin, Nicolas ChatroniD, Giulia BarciaiD, Boris KereniD, Cyril MignotiD, Perrine CharlesiD, Thomas BesnardiD, Robin PaluchiD, Jean‐Madeleine de Sainte AgatheiD, Edith P. Almanza FuerteiD, Soham SenguptaiD, Mathieu MilhiD, Francis RamondiD, Talia J. AllaniD, Isabelle Gourfinkel‐AniD, Camila Araújo, Stéphanie ArpiniD, , Johanna HerwigiD
Abstract
Variants in spliceosomal small nuclear RNA (snRNA) genes RNU4-2 (ReNU syndrome), RNU5B-1, and RNU2-2 have recently been linked to dominant neurodevelopmental disorders (NDDs), revealing a major, previously overlooked role for noncoding snRNAs in human disease. Here, we systematically analysed 200 potentially functional snRNA genes in a French cohort comprising 26,911 individuals with rare disorders and through international collaborations. We identify de novo and biallelic variants in RNU2-2 associated with both dominant and recessive NDDs in 126 individuals from 108 unrelated families. Recessive RNU2-2 NDD is at least twice as frequent as the dominant NDD caused by n.4G>A and n.35A>G, and often arises from a de novo variant in trans with an inherited allele, reflecting the high mutability of snRNA genes. Dominant and recessive RNU2-2-NDDs share overlapping clinical features with frequent epilepsy. Blood transcriptomics and DNA methylation analyses revealed subtle, variant-specific effects on splicing and episignatures. Our findings support a gradient-of-impact model and a continuum between dominant and recessive inheritance, establishing RNU2-2 variants as a frequent cause of NDDs, nearly as prevalent as ReNU syndrome.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 8
- FWCI
- 31.65
- Field percentile
- top 1%
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