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  • 标题:Targeted massively parallel sequencing for congenital generalized lipodystrophy
  • 其他标题:Targeted massively parallel sequencing for congenital generalized lipodystrophy
  • 本地全文:下载
  • 作者:Costa-Riquetto, Aline D. ; Santana, Lucas S. ; Caetano, Lílian A.
  • 期刊名称:Archives of Endocrinology and Metabolism
  • 印刷版ISSN:2359-3997
  • 出版年度:2020
  • 卷号:64
  • 期号:5
  • 页码:559-566
  • DOI:10.20945/2359-3997000000278
  • 出版社:Archives of Endocrinology and Metabolism
  • 摘要:

    Objective:

    Our aim is to establish genetic diagnosis of congenital generalized lipodystrophy (CGL) using targeted massively parallel sequencing (MPS), also known as next-generation sequencing (NGS).

    Subjects and methods:

    Nine unrelated individuals with a clinical diagnosis of CGL were recruited. We used a customized panel to capture genes related to genetic lipodystrophies. DNA libraries were generated, sequenced using the Illumina MiSeq, and bioinformatics analysis was performed.

    Results:

    An accurate genetic diagnosis was stated for all nine patients. Four had pathogenic variants in AGPAT2 and three in BSCL2. Three large homozygous deletions in AGPAT2 were identified by copy-number variant analysis.

    Conclusions:

    Although we have found allelic variants in only 2 genes related to CGL, the panel was able to identify different variants including deletions that would have been missed by Sanger sequencing. We believe that MPS is a valuable tool for the genetic diagnosis of multi-genes related diseases, including CGL.

  • 关键词:Congenital generalized lipodystrophy; Berardinelli-Seip syndrome; massively parallel sequencing; deep sequencing.
  • 其他关键词:Congenital generalized lipodystrophy;Berardinelli-Seip syndrome;massively parallel sequencing;deep sequencing
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