ObjectiveTo estimate the prevalence of Joubert syndrome (JS) in Italy applying standards of descriptive epidemiology and to provide a molecular characterization of the described patient cohort.MethodsWe enrolled all patients with a neuroradiologically confirmed diagnosis of JS who resided in Italy in 2018 and calculated age and sex prevalence, assuming a Poisson distribution. We also investigated the correlation between proband chronological age and age at diagnosis and performed next-generation sequencing (NGS) analysis on probands' DNA when available.ResultsWe identified 284 patients with JS: the overall, female- and male-specific population-based prevalence rates were 0.47 (95% confidence interval [CI] 0.41-0.53), 0.41 (95% CI 0.32-0.49), and 0.53 (95% CI 0.45-0.61) per 100,000 population, respectively. When we considered only patients in the age range from 0 to 19 years, the corresponding population-based prevalence rates rose to 1.7 (95% CI 1.49-1.97), 1.62 (95% CI 1.31-1.99), and 1.80 (95% CI 1.49-2.18) per 100,000 population. NGS analysis allowed identifying the genetic cause in 131 of 219 screened probands. Age at diagnosis was available for 223 probands, with a mean of 6.67 8.10 years, and showed a statistically significant linear relationship with chronological age (r(2) = 0.79; p < 0.001).ConclusionsWe estimated for the first time the age and sex prevalence of JS in Italy and investigated the patients' genetic profile. The obtained population-based prevalence rate was 10 times higher than that available in literature for children population.

Age and sex prevalence estimate of Joubert syndrome in Italy

Gaetano Cantalupo
Membro del Collaboration Group
;
Alessandro Simonati
Membro del Collaboration Group
;
2020

Abstract

ObjectiveTo estimate the prevalence of Joubert syndrome (JS) in Italy applying standards of descriptive epidemiology and to provide a molecular characterization of the described patient cohort.MethodsWe enrolled all patients with a neuroradiologically confirmed diagnosis of JS who resided in Italy in 2018 and calculated age and sex prevalence, assuming a Poisson distribution. We also investigated the correlation between proband chronological age and age at diagnosis and performed next-generation sequencing (NGS) analysis on probands' DNA when available.ResultsWe identified 284 patients with JS: the overall, female- and male-specific population-based prevalence rates were 0.47 (95% confidence interval [CI] 0.41-0.53), 0.41 (95% CI 0.32-0.49), and 0.53 (95% CI 0.45-0.61) per 100,000 population, respectively. When we considered only patients in the age range from 0 to 19 years, the corresponding population-based prevalence rates rose to 1.7 (95% CI 1.49-1.97), 1.62 (95% CI 1.31-1.99), and 1.80 (95% CI 1.49-2.18) per 100,000 population. NGS analysis allowed identifying the genetic cause in 131 of 219 screened probands. Age at diagnosis was available for 223 probands, with a mean of 6.67 8.10 years, and showed a statistically significant linear relationship with chronological age (r(2) = 0.79; p < 0.001).ConclusionsWe estimated for the first time the age and sex prevalence of JS in Italy and investigated the patients' genetic profile. The obtained population-based prevalence rate was 10 times higher than that available in literature for children population.
Abnormalities, Multiple
Adolescent
Adult
Age Factors
Age of Onset
Cerebellum
Child
Child, Preschool
Databases, Genetic
Eye Abnormalities
Female
High-Throughput Nucleotide Sequencing
Humans
Infant
Italy
Kidney Diseases, Cystic
Male
Middle Aged
Prevalence
Retina
Sex Factors
Young Adult
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1029996
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