medRxivGenetic & Genomic MedicinePreprint
Saturation genome editing of RNU4-2 reveals distinct dominant and recessive neurodevelopmental disorders
Joachim De JongheiD, Hyung Chul KimiD, Ayanfeoluwa AdedejiiD, Elsa LeitãoiD, Ruebena DawesiD, Yuyang CheniD, Alexander J. M. BlakesiD, Cas SimonsiD, Rocío RiusiD, Javeria Raza AlviiD, Florence Amblard, Christina Anne Austin-TseiD, Sarah BaeriD, Elsa V. BaltoniD, Pierre Blanc, Daniel G. CalameiD, Charles CouttoniD, Chloe A CunninghamiD, Nitsuh K. Dargie, Katrina M. DippleiD, Haowei DuiD, Salima El ChehadehiD, Ian Glass, Joseph G. GleesoniD, Olivier GrunewaldiD, , Gregory M. FindlayiD
Abstract
Recently, de novo variants in an 18 nucleotide region in the centre of RNU4-2 were shown to cause ReNU syndrome, a syndromic neurodevelopmental disorder (NDD) that is predicted to affect tens of thousands of individuals worldwide1,2. RNU4-2 is a non-protein-coding gene that is transcribed into the U4 small nuclear RNA (snRNA) component of the major spliceosome3. ReNU syndrome variants disrupt spliceosome function and alter 5 splice site selection1,4. Here, we performed saturation genome editing (SGE) of RNU4-2 to identify the functional and clinical impact of variants across the entire gene. The resulting SGE function scores, derived from variants effects on cell fitness, discriminate ReNU syndrome variants from those observed in the population and dramatically outperform in silico variant effect prediction. Using these data, we redefine the ReNU syndrome critical region at single nucleotide resolution, resolve variant pathogenicity for variants of uncertain significance, and show that SGE function scores delineate variants by phenotypic severity. Further, we identify variants impacting function in regions of RNU4-2 that are critical for interactions with other spliceosome components. We show that these variants cause a novel recessive NDD that is clinically distinct from ReNU syndrome. Together, this work defines the landscape of variant function across RNU4-2, providing critical insights for both diagnosis and therapeutic development.
- organism: human
- assay: whole-exome sequencing
- research focus: variant effect prediction
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 13
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