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

Sathirapongsasuti, Jarupon Fah; Lee, Hane; Horst, Basil A J; Brunner, Georg; Cochran, Alistair J; Binder, Scott; Quackenbush, John; Nelson, Stanley F · Bioinformatics · 2011

basic_science · Level V

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Abstract

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. 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. CRAN package 'ExomeCNV'. fsathira@fas.harvard.edu; snelson@ucla.edu Supplementary data are available at Bioinformatics online.

Medical subject headings