NDLI: CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing

Content Provider	PubMed Central
Author	Abyzov, Alexej Urban, Alexander E. Snyder, Michael Gerstein, Mark
Copyright Year	2011
Abstract	Copy number variation (CNV) in the genome is a complex phenomenon, and not completely understood. We have developed a method, CNVnator, for CNV discovery and genotyping from read-depth (RD) analysis of personal genome sequencing. Our method is based on combining the established mean-shift approach with additional refinements (multiple-bandwidth partitioning and GC correction) to broaden the range of discovered CNVs. We calibrated CNVnator using the extensive validation performed by the 1000 Genomes Project. Because of this, we could use CNVnator for CNV discovery and genotyping in a population and characterization of atypical CNVs, such as de novo and multi-allelic events. Overall, for CNVs accessible by RD, CNVnator has high sensitivity (86%–96%), low false-discovery rate (3%–20%), high genotyping accuracy (93%–95%), and high resolution in breakpoint discovery (<200 bp in 90% of cases with high sequencing coverage). Furthermore, CNVnator is complementary in a straightforward way to split-read and read-pair approaches: It misses CNVs created by retrotransposable elements, but more than half of the validated CNVs that it identifies are not detected by split-read or read-pair. By genotyping CNVs in the CEPH, Yoruba, and Chinese-Japanese populations, we estimated that at least 11% of all CNV loci involve complex, multi-allelic events, a considerably higher estimate than reported earlier. Moreover, among these events, we observed cases with allele distribution strongly deviating from Hardy-Weinberg equilibrium, possibly implying selection on certain complex loci. Finally, by combining discovery and genotyping, we identified six potential de novo CNVs in two family trios.
Related Links	http://dx.doi.org/10.1101/gr.114876.110
Ending Page	984
Page Count	11
Starting Page	974
File Format	PDF
ISSN	10889051
e-ISSN	15495469
Journal	Genome Research
Issue Number	6
Volume Number	21
Language	English
Publisher	Cold Spring Harbor Laboratory Press
Publisher Date	2011-06-01
Access Restriction	Open
Rights Holder	Cold Spring Harbor Laboratory Press
Subject Keyword	Genetics(clinical) Genetics Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Genetics Genetics (clinical)

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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