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Contribution of Rare and Low-Frequency Variants to Multiple Sclerosis Susceptibility in the Italian Continental Population.
Clarelli, Ferdinando; Barizzone, Nadia; Mangano, Eleonora; Zuccalà, Miriam; Basagni, Chiara; Anand, Santosh; Sorosina, Melissa; Mascia, Elisabetta; Santoro, Silvia; Guerini, Franca Rosa; Virgilio, Eleonora; Gallo, Antonio; Pizzino, Alessandro; Comi, Cristoforo; Martinelli, Vittorio; Comi, Giancarlo; De Bellis, Gianluca; Leone, Maurizio; Filippi, Massimo; Esposito, Federica; Bordoni, Roberta; Martinelli Boneschi, Filippo; D'Alfonso, Sandra.
Afiliação
  • Clarelli F; Laboratory of Human Genetics of Neurological Disorders, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Barizzone N; Department of Health Sciences, UPO, University of Eastern Piedmont, and CAAD (Center for Translational Research on Autoimmune and Allergic Disease), Novara, Italy.
  • Mangano E; Institute for Biomedical Technologies, National Research Council of Italy, Segrate, Italy.
  • Zuccalà M; Department of Health Sciences, UPO, University of Eastern Piedmont, and CAAD (Center for Translational Research on Autoimmune and Allergic Disease), Novara, Italy.
  • Basagni C; Department of Health Sciences, UPO, University of Eastern Piedmont, and CAAD (Center for Translational Research on Autoimmune and Allergic Disease), Novara, Italy.
  • Anand S; Department of Informatics, Systems and Communications (DISCo), University of Milano-Bicocca, Milan, Italy.
  • Sorosina M; Laboratory of Human Genetics of Neurological Disorders, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Mascia E; Laboratory of Human Genetics of Neurological Disorders, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Santoro S; Laboratory of Human Genetics of Neurological Disorders, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Guerini FR; IRCCS Fondazione Don Carlo Gnocchi, Onlus, Milan, Italy.
  • Virgilio E; Department of Translational Medicine, Section of Neurology and IRCAD, UNIUPO, Novara, Italy.
  • Gallo A; MS Center, I Division of Neurology, Department of Advanced Medical and Surgical Sciences (DAMSS), University of Campania "Luigi Vanvitelli", Naples, Italy.
  • Pizzino A; Department of Health Sciences, UPO, University of Eastern Piedmont, and CAAD (Center for Translational Research on Autoimmune and Allergic Disease), Novara, Italy.
  • Comi C; Department of Translational Medicine, Section of Neurology and IRCAD, UNIUPO, Novara, Italy.
  • Martinelli V; Neurology Unit and Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Comi G; Vita-Salute San Raffaele University, Milan, Italy.
  • De Bellis G; Institute for Biomedical Technologies, National Research Council of Italy, Segrate, Italy.
  • Leone M; Neurology Unit, Fondazione IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Italy.
  • Filippi M; Neurology Unit and Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Esposito F; Vita-Salute San Raffaele University, Milan, Italy.
  • Bordoni R; Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Martinelli Boneschi F; Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • D'Alfonso S; Laboratory of Human Genetics of Neurological Disorders, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Front Genet ; 12: 800262, 2021.
Article em En | MEDLINE | ID: mdl-35047017
ABSTRACT
Genome-wide association studies identified over 200 risk loci for multiple sclerosis (MS) focusing on common variants, which account for about 50% of disease heritability. The goal of this study was to investigate whether low-frequency and rare functional variants, located in MS-established associated loci, may contribute to disease risk in a relatively homogeneous population, testing their cumulative effect (burden) with gene-wise tests. We sequenced 98 genes in 588 Italian patients with MS and 408 matched healthy controls (HCs). Variants were selected using different filtering criteria based on allelic frequency and in silico functional impacts. Genes showing a significant burden (n = 17) were sequenced in an independent cohort of 504 MS and 504 HC. The highest signal in both cohorts was observed for the disruptive variants (stop-gain, stop-loss, or splicing variants) located in EFCAB13, a gene coding for a protein of an unknown function (p < 10-4). Among these variants, the minor allele of a stop-gain variant showed a significantly higher frequency in MS versus HC in both sequenced cohorts (p = 0.0093 and p = 0.025), confirmed by a meta-analysis on a third independent cohort of 1298 MS and 1430 HC (p = 0.001) assayed with an SNP array. Real-time PCR on 14 heterozygous individuals for this variant did not evidence the presence of the stop-gain allele, suggesting a transcript degradation by non-sense mediated decay, supported by the evidence that the carriers of the stop-gain variant had a lower expression of this gene (p = 0.0184). In conclusion, we identified a novel low-frequency functional variant associated with MS susceptibility, suggesting the possible role of rare/low-frequency variants in MS as reported for other complex diseases.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Front Genet Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Front Genet Ano de publicação: 2021 Tipo de documento: Article