A High-Resolution Map of Segmental DNA Copy Number Variation in the Mouse Genome

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Graubert, Timothy A
Edwin, Deepa
Selzer, Rebecca R
Richmond, Todd A
Eis, Peggy S
Shannon, William D
McLeod, Howard L
Cheverud, James M
Ley, Timothy J
Li, Xia
Note: Order does not necessarily reflect citation order of authors.
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https://doi.org/10.1371/journal.pgen.0030003Metadata
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Graubert, Timothy A., Patrick Cahan, Deepa Edwin, Rebecca R. Selzer, Todd A. Richmond, Peggy S. Eis, William D. Shannon, et al. 2007. A high-resolution map of segmental DNA copy number variation in the mouse genome. PLoS Genetics 3(1): e3.Abstract
Submicroscopic (less than 2 Mb) segmental DNA copy number changes are a recently recognized source of genetic variability between individuals. The biological consequences of copy number variants (CNVs) are largely undefined. In some cases, CNVs that cause gene dosage effects have been implicated in phenotypic variation. CNVs have been detected in diverse species, including mice and humans. Published studies in mice have been limited by resolution and strain selection. We chose to study 21 well-characterized inbred mouse strains that are the focus of an international effort to measure, catalog, and disseminate phenotype data. We performed comparative genomic hybridization using long oligomer arrays to characterize CNVs in these strains. This technique increased the resolution of CNV detection by more than an order of magnitude over previous methodologies. The CNVs range in size from 21 to 2,002 kb. Clustering strains by CNV profile recapitulates aspects of the known ancestry of these strains. Most of the CNVs (77.5%) contain annotated genes, and many (47.5%) colocalize with previously mapped segmental duplications in the mouse genome. We demonstrate that this technique can identify copy number differences associated with known polymorphic traits. The phenotype of previously uncharacterized strains can be predicted based on their copy number at these loci. Annotation of CNVs in the mouse genome combined with sequence-based analysis provides an important resource that will help define the genetic basis of complex traits.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1761046/pdf/Terms of Use
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