Novel NPC1 mutations with different segregation in two related Greek patients with Niemann-Pick type C disease: Molecular study in the extended pedigree and clinical correlations

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Abstract

Background: Niemann-Pick type C disease (NPC) is an autosomal recessive, neurovisceral, lysosomal storage disorder with protean and progressive clinical manifestations, resulting from mutations in either of the two genes, NPC1 (~95% of families) and NPC2. Contrary to other populations, published evidence regarding NPC disease in Greece is sparse. Methods: The study population consisted of two Greek NPC patients and their extended pedigree. Patients' clinical, biochemical, molecular profiles and the possible correlations are presented. Genotyping was performed by direct sequencing. Mutations' origin was investigated through selected exonic NPC1 polymorphisms encountered more frequently in a group of 37 Greek patients with clinical suspicion of NPC disease and in a group of 90 healthy Greek individuals, by the use of Haplore software. Results: Two novel NPC1 mutations, [IVS23+3insT (c.3591+3insT) and p. K1057R (c.3170A>C)] were identified and each mutation was associated with a specific haplotype. One of the patients was entered to early treatment with miglustat and has presented no overt neurological impairment after 11.5years. Conclusions: The splicing mutation IVS23+3insT was associated in homozygocity with a severe biochemical and clinical phenotype. A possible founder effect for this mutation was demonstrated in the Greek Island, as well as a different origin for each novel mutation. Longitudinal follow-up may contribute to clarify the possible effect of early miglustat therapy on the patient compound heterozygous for the two novel mutations.

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APA

Bountouvi, E., Papadopoulou, A., Vanier, M. T., Nyktari, G., Kanellakis, S., Michelakakis, H., & Dinopoulos, A. (2017). Novel NPC1 mutations with different segregation in two related Greek patients with Niemann-Pick type C disease: Molecular study in the extended pedigree and clinical correlations. BMC Medical Genetics, 18(1). https://doi.org/10.1186/s12881-017-0409-4

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