Thursday 17 May 2012

Copy number variation detection and genotyping from exome sequence data.

http://www.ncbi.nlm.nih.gov/pubmed/22585873
Genome Res. 2012 May 14. [Epub ahead of print]

Copy number variation detection and genotyping from exome sequence data.

Source

University of Washington;

Abstract

While exome sequencing is readily amenable to single-nucleotide variant discovery, the sparse and non-uniform nature of the exome capture reaction has hindered exome-based detection and characterization of genic copy number variation. We developed a novel method using singular value decomposition (SVD) normalization to discover rare genic copy number variants (CNVs) as well as genotype copy number polymorphic (CNP) loci with high sensitivity and specificity from exome sequencing data. We estimate the precision of our algorithm using 122 trios (366 exomes) and show that this method can be used to reliably predict (94% overall precision) both de novo and inherited rare CNVs involving three or more consecutive exons. We demonstrate that exome-based genotyping of CNPs strongly correlates with whole-genome data (median r2 = 0.91), especially for loci with fewer than eight copies, and can estimate the absolute copy number of multi-allelic genes with high accuracy (78% call level). The resulting user-friendly computational pipeline, CoNIFER (copy number inference from exome reads), can reliably be used to discover disruptive genic CNVs missed by standard approaches and should have broad application in human genetic studies of disease.

PMID:
 
22585873
 
[PubMed - as supplied by publisher]

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