Biallelic variants in the ectonucleotidase ENTPD1 cause a complex neurodevelopmental disorder with intellectual disability, distinct white matter abnormalities, and spastic paraplegia.

OBJECTIVE: Human genomics established that pathogenic variation in diverse genes can underlie a single disorder. For example, hereditary spastic paraplegia (HSP) is associated with over 80 genes with frequently only few affected individuals described for each gene. Herein, we characterize a large cohort of individuals with biallelic variation in ENTPD1, a gene previously linked to spastic paraplegia 64 (MIM# 615683). METHODS: Individuals with biallelic ENTPD1 variants were recruited worldwide. Deep phenotyping and molecular characterizations were performed. RESULTS: A total of 27 individuals from 17 unrelated families were studied; additional phenotypic information was collected from published cases. Twelve novel pathogenic ENTPD1 variants are described: c.398_399delinsAA; p.(Gly133Glu), c.540del; p.(Thr181Leufs* 18), c.640del; p.(Gly216Glufs* 75), c.185T>G; p.(Leu62*), c.1531T>C; p.(*511Glnext* 100), c.967C>T; p.(Gln323*), c.414-2_414-1del, and c.146 A>G; p.(Tyr49Cys) including four recurrent variants c.1109T>A; p.(Leu370* ), c.574-6_574-3del, c.770_771del; p.(Gly257Glufs*18), and c.1041del; p.(Ile348Phefs*19). Shared disease traits include: childhood-onset, progressive spastic paraplegia, intellectual disability (ID), dysarthria, and white matter abnormalities. In vitro assays demonstrate that ENTPD1 expression and function are impaired and that c.574-6_574-3del causes exon skipping. Global metabolomics demonstrates ENTPD1 deficiency leads to impaired nucleotide, lipid, and energy metabolism. INTERPRETATION: The ENTPD1 locus trait consists of childhood disease-onset, ID, progressive spastic paraparesis, dysarthria, dysmorphisms, and white matter abnormalities with some individuals showing neurocognitive regression. Investigation of an allelic series of ENTPD1: i) expands previously described features of ENTPD1-related neurological disease, ii) highlights the importance of genotype-driven deep phenotyping, iii) documents the need for global collaborative efforts to characterize rare AR disease traits, and iv) provides insights into the disease trait neurobiology. This article is protected by copyright. All rights reserved