Objective To 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. Methods We 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. Results We 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 (r2 = 0.79; p < 0.001). Conclusions We 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 / Nuovo, S.; Bacigalupo, I.; Ginevrino, M.; Battini, R.; Bertini, E.; Borgatti, R.; Casella, A.; Micalizzi, A.; Nardella, M.; Romaniello, R.; Serpieri, V.; Zanni, G.; Valente, E. M.; Vanacore, N.. - In: NEUROLOGY. - ISSN 0028-3878. - 94:8(2020), pp. E797-E801. [10.1212/WNL.0000000000008996]

Age and sex prevalence estimate of Joubert syndrome in Italy

Nuovo S.
Primo
;
2020

Abstract

Objective To 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. Methods We 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. Results We 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 (r2 = 0.79; p < 0.001). Conclusions We 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.
2020
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
01 Pubblicazione su rivista::01a Articolo in rivista
Age and sex prevalence estimate of Joubert syndrome in Italy / Nuovo, S.; Bacigalupo, I.; Ginevrino, M.; Battini, R.; Bertini, E.; Borgatti, R.; Casella, A.; Micalizzi, A.; Nardella, M.; Romaniello, R.; Serpieri, V.; Zanni, G.; Valente, E. M.; Vanacore, N.. - In: NEUROLOGY. - ISSN 0028-3878. - 94:8(2020), pp. E797-E801. [10.1212/WNL.0000000000008996]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1471067
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