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Detection of homozygous deletions in tumor-suppressor genes ranging from dozen to hundreds nucleotides in cancer models.

Lun-Ching ChangSuleyman VuralDmitriy Sonkin
Published in: Human mutation (2017)
Tumor-suppressor genes can be inactivated by several mechanisms and, in a majority of cases, both alleles need to be affected. One of the mechanisms of inactivation is due to deletions ranging from dozen to hundreds of nucleotides; such deletions are often missed by variant callers. HomDelDetect is a method to detect such homozygous deletions in cancer models, such as cancer cell lines and potentially patient tumor-derived xenografts. This method can be applied to partial exome, whole-exome sequencing, whole-genome sequencing, and RNA-seq data. We applied our method across a panel of CCLE cancer cell lines and observed good concordance with SNP array-based analysis and also detected deletions that have been missed by variant callers and by SNP arrays, demonstrating the ability of HomDelDetect to improve the annotations of tumor-suppressor genes in cancer models.
Keyphrases
  • papillary thyroid
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  • genome wide
  • rna seq
  • single cell
  • machine learning
  • gene expression
  • high throughput
  • case report
  • big data
  • real time pcr