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A novel frameshift mutation of SYNE1 in a Japanese family with autosomal recessive cerebellar ataxia type 8.
Yoshinaga, Tsuneaki; Nakamura, Katsuya; Ishikawa, Masumi; Yamaguchi, Tomomi; Takano, Kyoko; Wakui, Keiko; Kosho, Tomoki; Yoshida, Kunihiro; Fukushima, Yoshimitsu; Sekijima, Yoshiki.
Afiliação
  • Yoshinaga T; Center for Medical Genetics, Shinshu University Hospital, Matsumoto, Japan.
  • Nakamura K; Department of Medicine (Neurology and Rheumatology), Shinshu University School of Medicine, Matsumoto, Japan.
  • Ishikawa M; Center for Medical Genetics, Shinshu University Hospital, Matsumoto, Japan.
  • Yamaguchi T; Department of Medicine (Neurology and Rheumatology), Shinshu University School of Medicine, Matsumoto, Japan.
  • Takano K; Center for Medical Genetics, Shinshu University Hospital, Matsumoto, Japan.
  • Wakui K; Center for Medical Genetics, Shinshu University Hospital, Matsumoto, Japan.
  • Kosho T; Department of Medical Genetics, Shinshu University School of Medicine, Matsumoto, Japan.
  • Yoshida K; Center for Medical Genetics, Shinshu University Hospital, Matsumoto, Japan.
  • Fukushima Y; Department of Medical Genetics, Shinshu University School of Medicine, Matsumoto, Japan.
  • Sekijima Y; Center for Medical Genetics, Shinshu University Hospital, Matsumoto, Japan.
Hum Genome Var ; 4: 17052, 2017.
Article em En | MEDLINE | ID: mdl-29081981
A Japanese family with autosomal recessive cerebellar ataxia type 8 (SCAR8, MIM 610743) is described. We identified a novel SYNE1 frameshift deletion (c.6843del, p.Q2282Sfs*3). This family shared similar clinical manifestations characterized by adult-onset, relatively pure cerebellar ataxia with mild eye movement abnormality. Intelligence and bulbar and respiratory functions were unaffected. This study suggests the clinical utility of using panel-based exome sequencing for genetic diagnosis in hereditary ataxias in a cost-efficient manner.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article