4.7 Article

Exome sequencing-based copy-number variation and loss of heterozygosity detection: ExomeCNV

期刊

BIOINFORMATICS
卷 27, 期 19, 页码 2648-2654

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OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr462

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资金

  1. National Heart, Lung, Blood Institute of the US National Institutes of Health [1RC2 HL101715]
  2. National Institute for Mental Health [R01 MH071852]
  3. National Institute of Arthritis, Musculoskeletal and Skin Disorders [P30 AR057230]
  4. National Cancer Institute [P30 CA16042]

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Motivation: The ability to detect copy-number variation (CNV) and loss of heterozygosity (LOH) from exome sequencing data extends the utility of this powerful approach that has mainly been used for point or small insertion/deletion detection. Results: We present ExomeCNV, a statistical method to detect CNV and LOH using depth-of-coverage and B-allele frequencies, from mapped short sequence reads, and we assess both the method's power and the effects of confounding variables. We apply our method to a cancer exome resequencing dataset. As expected, accuracy and resolution are dependent on depth-of-coverage and capture probe design.

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