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Platform comparison of detecting copy number variants with microarrays and whole-exome sequencing

  • Joep de Ligt
  • , Philip M. Boone
  • , Rolph Pfundt
  • , Lisenka E.L.M. Vissers
  • , Nicole de Leeuw
  • , Christine Shaw
  • , Han G. Brunner
  • , James R. Lupski
  • , Joris A. Veltman
  • , Jayne Y. Hehir-Kwa

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Copy number variation (CNV) is a common source of genetic variation that has been implicated in many genomic disorders, Mendelian diseases, and common/complex traits. Genomic microarrays are often employed for CNV detection. More recently, whole-exome sequencing (WES) has enabled detection of clinically relevant point mutations and small insertion-deletion exome wide. We evaluated (de Ligt et al. 2013) [1] the utility of short-read WES (SOLiD 5500xl) to detect clinically relevant CNVs in DNA from 10 patients with intellectual disability and compared these results to data from three independent high-resolution microarray platforms. Calls made by the different platforms and detection software are available at dbVar under nstd84.

Original languageEnglish
Pages (from-to)144-146
Number of pages3
JournalGenomics data
Volume2
DOIs
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • Copy number variation
  • Microarray
  • Whole exome sequencing

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