Detecting structural variations in the human genome using next generation sequencing

Ruibin Xi, Tae Min Kim, Peter J. Park

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

Structural variations are widespread in the human genome and can serve as genetic markers in clinical and evolutionary studies. With the advances in the next-generation sequencing technology, recent methods allow for identification of structural variations with unprecedented resolution and accuracy. They also provide opportunities to discover variants that could not be detected on conventional microarray-based platforms, such as dosage-invariant chromosomal translocations and inversions. In this review, wewill describe some of the sequencing-based algorithms for detection of structural variations and discuss the key issues in future development.

Original languageEnglish
Pages (from-to)405-415
Number of pages11
JournalBriefings in Functional Genomics
Volume9
Issue number5-6
DOIs
StatePublished - 2010

Keywords

  • Chromosomal alterations
  • Copy number variations
  • Indels
  • Paired-end sequencing
  • Translocations

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