SETBP1 variants outside the degron disrupt DNA-binding and transcription independent of protein abundance to cause a heterogeneous neurodevelopmental disorder
Wong, M. M.; Kampen, R. A.; Braden, R. O.; Alagoz, G.; Hildebrand, M. S.; Barnett, C.; Barnett, M.; Brusco, A.; Carli, D.; de Vries, B. B.; Dingemans, A. J.; Elmslie, F.; Ferrero, G. B.; Jansen, N. A.; van de Laar, I. M.; Moroni, A.; Mowat, D.; Murray, L.; Novara, F.; Peron, A.; Scheffer, I. E.; Sirchia, F.; Turner, S. J.; Vignoli, A.; Vino, A.; Weber, S.; Chung, W. K.; Gerard, M.; Lopez-Gonzalez, V.; Palmer, E.; Morgan, A. T.; van Bon, B. W.; Fisher, S. E.
Show abstract
Germline de novo SETBP1 variants cause clinically distinct and heterogeneous neurodevelopmental disorders. Heterozygous missense variants at a hotspot encoding a canonical degron lead to SETBP1 accumulation and Schinzel-Giedion syndrome (SGS), a rare severe developmental disorder involving multisystem malformations. Heterozygous loss-of-function variants result in SETBP1 haploinsufficiency disorder which is phenotypically much milder than SGS. Following an initial description of four individuals with atypical SGS carrying heterozygous missense variants adjacent to the degron, a few individual cases of variants outside the degron were reported. Due to the lack of systematic investigation of genotype-phenotype associations of different types of SETBP1 variants, and limited understanding of the roles of the gene in brain development, the extent of clinical heterogeneity and how this relates to underlying pathophysiological mechanisms remain elusive, imposing challenges for diagnosis and patient care. Here, we present a comprehensive investigation of the largest cohort to-date of individuals carrying SETBP1 missense variants outside the degron (n=18, including one in-frame deletion). We performed thorough clinical and speech phenotyping with functional follow-up using cellular assays and transcriptomics. Our findings suggest that such variants cause a clinically and functionally variable developmental syndrome, showing only partial overlaps with classical SGS and SETBP1 haploinsufficiency disorder, and primarily characterised by intellectual disability, epilepsy, speech and motor impairment. We provide evidence of loss-of-function pathophysiological mechanisms impairing ubiquitination, DNA-binding and transcription. In contrast to SGS and SETBP1 haploinsufficiency, these effects are independent of protein abundance. Overall, our study provides important novel insights into diagnosis, patient care and aetiology of SETBP1-related disorders.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Loss of C2orf69 defines a fatal auto-inflammatory mitochondriopathy in Humans and Zebrafish 96%
- Loss-of-function of the Zinc Finger Homeobox 4 ( ZFHX4 ) gene underlies a neurodevelopmental disorder 96%
- De novo EIF2AK1 and EIF2AK2 variants are associated with developmental delay, leukoencephalopathy, and neurologic decompensation 96%
Similar papers in this journal
Similar papers in this journal
- Functional characterization of pathogenic SATB2 missense variants identifies distinct effects on chromatin binding and transcriptional activity 97%
- Long-read genome sequencing for the diagnosis of neurodevelopmental disorders 95%
- Identification and validation of novel candidate risk genes in endocytic vesicular trafficking associated with esophageal atresia and tracheoesophageal fistulas 95%
Similar papers in this journal
- Unveiling the crucial neuronal role of the proteasomal ATPase subunit gene PSMC5 in neurodevelopmental proteasomopathies 96%
- Mitotic Block and Epigenetic Repression Underlie Neurodevelopmental Defects and Neurobehavioral Deficits in Congenital Heart Disease 95%
- Variants in NR6A1 cause a novel oculo-vertebral-renal (OVR) syndrome 95%
Similar papers in this journal
- Biallelic truncation variants in ATP9A are associated with a novel autosomal recessive neurodevelopmental disorder 95%
- Association between genes regulating neural pathways for quantitative traits of speech and language disorders 95%
- Discordance between a deep learning model and clinical-grade variant pathogenicity classification in a rare disease cohort 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.