BMC Genomics · 2015 · 52 citations · 103 references
Life SciencesGeneticsMolecular GeneticsComparative GeneticsGenomic Data AnalysisGenomicsAnimal GenomicsCopy Number Variant AnalysisCopy Number VariantsCopy Number VariationMammalian GeneticsRodent GeneticsCopy Number Variant DetectionCopy Number Variation DetectionGenome-wide Copy Number Variation AnalysisLipid Metabolism VariationNext-generation Sequencing Based Copy Number AnalysisNext-generation Sequencing Copy Number AnalysisReference Genome CurationReference Strains
BACKGROUND: Copy number variation is an important dimension of genetic diversity and has implications in development and disease. As an important model organism, the mouse is a prime candidate for copy number variant (CNV) characterization, but this has yet to be completed for a large sample size. Here we report CNV analysis of publicly available, high-density microarray data files for 351 mouse tail samples, including 290 mice that had not been characterized for CNVs previously. RESULTS: We found 9634 putative autosomal CNVs across the samples affecting 6.87% of the mouse reference genome. We find significant differences in the degree of CNV uniqueness (single sample occurrence) and the nature of CNV-gene overlap between wild-caught mice and classical laboratory strains. CNV-gene overlap was associated with lipid metabolism, pheromone response and olfaction compared to immunity, carbohydrate metabolism and amino-acid metabolism for wild-caught mice and classical laboratory strains, respectively. Using two subspecies of wild-caught Mus musculus, we identified putative CNVs unique to those subspecies and show this diversity is better captured by wild-derived laboratory strains than by the classical laboratory strains. A total of 9 genic copy number variable regions (CNVRs) were selected for experimental confirmation by droplet digital PCR (ddPCR). CONCLUSION: The analysis we present is a comprehensive, genome-wide analysis of CNVs in Mus musculus, which increases the number of known variants in the species and will accelerate the identification of novel variants in future studies.
103
BEDTools: a flexible suite of utilities for comparing genomic features
Aaron R. Quinlan, Ira M. Hall · Bioinformatics · 2010 · 30.4K citations · Full text
Global variation in copy number in the human genome
Richard Redon, Shumpei Ishikawa, Karen Fitch et al. · Nature · 2006 · 4.4K citations · Full text