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A High-Resolution Map of Segmental DNA Copy Number Variation in the Mouse Genome
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...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1761046/ https://www.ncbi.nlm.nih.gov/pubmed/17206864 http://dx.doi.org/10.1371/journal.pgen.0030003 |
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author | Graubert, Timothy A Cahan, Patrick Edwin, Deepa Selzer, Rebecca R Richmond, Todd A Eis, Peggy S Shannon, William D Li, Xia McLeod, Howard L Cheverud, James M Ley, Timothy J |
author_facet | Graubert, Timothy A Cahan, Patrick Edwin, Deepa Selzer, Rebecca R Richmond, Todd A Eis, Peggy S Shannon, William D Li, Xia McLeod, Howard L Cheverud, James M Ley, Timothy J |
author_sort | Graubert, Timothy A |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-1761046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-17610462007-01-09 A High-Resolution Map of Segmental DNA Copy Number Variation in the Mouse Genome Graubert, Timothy A Cahan, Patrick Edwin, Deepa Selzer, Rebecca R Richmond, Todd A Eis, Peggy S Shannon, William D Li, Xia McLeod, Howard L Cheverud, James M Ley, Timothy J PLoS Genet Research Article 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. Public Library of Science 2007-01 2007-01-05 /pmc/articles/PMC1761046/ /pubmed/17206864 http://dx.doi.org/10.1371/journal.pgen.0030003 Text en © 2007 Graubert et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Graubert, Timothy A Cahan, Patrick Edwin, Deepa Selzer, Rebecca R Richmond, Todd A Eis, Peggy S Shannon, William D Li, Xia McLeod, Howard L Cheverud, James M Ley, Timothy J A High-Resolution Map of Segmental DNA Copy Number Variation in the Mouse Genome |
title | A High-Resolution Map of Segmental DNA Copy Number Variation in the Mouse Genome |
title_full | A High-Resolution Map of Segmental DNA Copy Number Variation in the Mouse Genome |
title_fullStr | A High-Resolution Map of Segmental DNA Copy Number Variation in the Mouse Genome |
title_full_unstemmed | A High-Resolution Map of Segmental DNA Copy Number Variation in the Mouse Genome |
title_short | A High-Resolution Map of Segmental DNA Copy Number Variation in the Mouse Genome |
title_sort | high-resolution map of segmental dna copy number variation in the mouse genome |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1761046/ https://www.ncbi.nlm.nih.gov/pubmed/17206864 http://dx.doi.org/10.1371/journal.pgen.0030003 |
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