Back

Biallelic variants in ARHGAP19 cause a motor-predominant neuropathy with asymmetry and conduction slowing

Dominik, N.; Efthymiou, S.; Record, C. J.; Miao, X.; Lin, R.; Parmar, J.; Scardamaglia, A.; Maroofian, R.; Aughey, G.; Wilson, A.; Lowe, S.; Curro, R.; Schnekenberg, R. P.; Alavi, S.; Leclaire, L.; He, Y.; Zhelchenska, K.; Bellaiche, Y.; Gaugue, I.; Skorupinska, M.; Van de Vondel, L.; Da'as, S.; Turchetti, V.; Gungor, S.; Karimiani, E. G.; Armirola Ricaurte, C.; Topaloglu, H.; Jordanova, A.; Zaman, M.; Banu, S. H.; Marques, W.; Tomaselli, P. J.; Aynekin, B.; Cansu, A.; Per, H.; Gulec, A.; Alvi, J. R.; Sultan, T.; Khan, A.; Zifarelli, G.; Ibrahim, S.; Mancini, G. M. S.; Motazacker, M. M.; Bruss

2024-05-14 genetic and genomic medicine
10.1101/2024.05.10.24306768 medRxiv
Show abstract

Charcot-Marie-Tooth Disease is a clinically and genetically heterogeneous group of hereditary neuropathies, with over 100 causative genes identified to date. Despite progress in genetic sequencing, around a quarter of patients remain unsolved. Through international collaborations, we identified 16 recessive variants in Rho GTPase activating protein 19 (ARHGAP19) causing motor-predominant neuropathy with conduction slowing in 25 individuals from 20 unrelated multi-ancestry families. ARHGAP19 is a GTPase-activating protein with activity towards RhoA. In vitro biochemical assays revealed that variants located within the GAP domain cause loss of GAP activity. iPSc-derived motor neurons exhibited 50% knockdown of ARHGAP19 protein. In vivo genetic perturbations of the Drosophila melanogaster ARHGAP19 ortholog RhoGAP54D reduced self-driven locomotor activity and startle responses to visual stimuli. Zebrafish loss-of-function models similarly exhibited movement deficits, coupled with increased motor neuron axonal branching but shorter caudal primary motor neurons. Together, these findings establish ARHGAP19 as a novel cause of early-onset neuropathy through a loss-of-function mechanism.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"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.