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  • 标题:Challenges in identifying large germline structural variants for clinical use by long read sequencing
  • 本地全文:下载
  • 作者:Barbara Jenko Bizjan ; Theodora Katsila ; Tine Tesovnik
  • 期刊名称:Computational and Structural Biotechnology Journal
  • 印刷版ISSN:2001-0370
  • 出版年度:2020
  • 卷号:18
  • 页码:83-92
  • DOI:10.1016/j.csbj.2019.11.008
  • 出版社:Computational and Structural Biotechnology Journal
  • 摘要:Genomic structural variations, previously considered rare events, are widely recognized as a major source of inter-individual variability and hence, a major hurdle in optimum patient stratification and disease management. Herein, we focus on large complex germline structural variations and present challenges towards target treatment via the synergy of state-of-the-art approaches and information technology tools. A complex structural variation detection remains challenging, as there is no gold standard for identifying such genomic variations with long reads, especially when the chromosomal rearrangement in question is a few Mb in length. A clinical case with a large complex chromosomal rearrangement serves as a paradigm. We feel that functional validation and data interpretation are of outmost importance for information growth to be translated into knowledge growth and hence, new working practices are highlighted..
  • 关键词:Structural variations ; Human genetics ; Long reads sequencing ; Theranostics
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