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De novo ITPR1 variants are a recurrent cause of early-onset ataxia, acting via loss of channel function

EUROPEAN JOURNAL OF HUMAN GENETICS(2018)

Cited 32|Views44
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Abstract
We explored the clinico-genetic basis of spinocerebellar ataxia 29 (SCA29) by determining the frequency, phenotype, and functional impact of ITPR1 missense variants associated with early-onset ataxia (EOA). Three hundred thirty one patients from a European EOA target cohort ( n = 120), US-American EOA validation cohort ( n = 72), and early-onset epileptic encephalopathy (EOEE) control cohort (n = 139) were screened for de novo ITPR1 variants. The target cohort was also screened for inherited ITPR1 variants. The variants’ functional impact was determined by IP3-induced Ca 2+ release in HEK293 cells. 3/120 patients (2.5%) from the target cohort and 4/72 patients (5.5%) from the validation cohort, but none from the EOEE control cohort, carried de novo ITPR1 variants. However, most ITPR1 variants (7/10 = 70%) in the target cohort were inherited from a healthy parent, with 3/6 patients carrying disease-causing variants in other genes. This suggests limited or no phenotypic impact of many ITPR1 missense variants, even if ultra-rare and well-conserved. While common bioinformatics tools did not discriminate de novo from other ITPR1 variants, functional characterization demonstrated reduced IP3-induced Ca 2+ release for all de novo variants, including the recurrent c.805C>T (p.(R269W)) variant. In sum, these findings show that de novo ITPR1 missense variants are a recurrent cause of EOA (SCA29) across independent cohorts, acting via loss of IP3 channel function. Inherited ITPR1 variants are also enriched in EOA, but often without strong impact, albeit rare and well-conserved. Functional studies allow identifying ITPR1 variants with large impact, likely disease-causing. Such functional confirmation is warranted for inherited ITPR1 variants before making a SCA29 diagnosis.
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Key words
Disease genetics,Spinocerebellar ataxia,Biomedicine,general,Human Genetics,Bioinformatics,Gene Expression,Cytogenetics
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