Copy number variation and gene expression in the mouse
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE10744 | GEO | 2009/02/28
SECONDARY ACCESSION(S): PRJNA107521
REPOSITORIES: GEO
Similar Datasets
Project description:Copy number variation (CNV) of DNA segments has recently been identified as a major source of genetic diversity, but a more comprehensive understanding of the extent and phenotypic effect of this type of variation is only beginning to emerge. In this study we generated genome-wide expression data from 6 mouse tissues to investigate how CNVs influence gene expression. Keywords: genetic background, gene expression profiling C57BL/6J, DBA2/J, AKR/J, A/J and C3HeB/FeJ were purchased from The Jackson Laboratory and 129S2 from Charles River, France. Six tissues were dissected from three males of 11-14 weeks of age, for each strain.
2009-02-28 | E-GEOD-10744 | biostudies-arrayexpress
Project description:Genetic variation is responsible for the generation of phenotypic diversity, including susceptibility to disease. Two major types of variation are known: single nucleotide polymorphisms (SNPs) and a more recently discovered structural variation, involving changes in copy number (CNVs) of kilobase- to megabase-sized chromosomal segments. Variation caused by CNVs has exceeded the amount of SNP-based differences expected to exist between two unrelated humans. Furthermore, many CNVs have been associated with disease predisposition. It is unknown whether CNVs arise in somatic cells, but it is, however, generally assumed that normal cells are genetically identical. Here we show that CNVs are frequent in healthy somatic cells of adult humans. We tested 34 tissue samples from three subjects and, having analyzed for each tissue <10-6 of all cells expected in an adult human, we observed at least six CNVs, affecting a single organ or one or more tissues of the same subject. The CNVs ranged from 82-176 kb, often encompassing known genes, potentially affecting gene function. Our results point to a paradigm shift in the genetics of somatic cells and indicate that humans are commonly affected by somatic mosaicism for stochastic CNVs, which occur in a substantial fraction of cells. A considerable number of phenotypes and diseases affecting humans are a consequence of a somatic process. Thus, our conclusions will be important for the delineation of genetic factors behind these phenotypes. Consequently, biobanks should consider sampling multiple tissues in order to better address mosaicism in the studies of somatic disorders. Furthermore, forensic medicine laboratories should be sensitized to the issue of underestimated frequency of somatic CNV mosaicism. Keywords: copy number variation (CNV), phenotype diversity, somatic cells
2008-09-16 | GSE9598 | GEO
Project description:Background: Detecting genetic variation is a critical step in elucidating the molecular mechanisms underlying phenotypic diversity. Until recently, such detection has mostly focused on single nucleotide polymorphisms (SNPs) because of the ease in screening complete genomes. Another type of variant, copy number variation (CNV), is emerging as a significant contributor to phenotypic variation in many species. Here we describe a genome-wide CNV study using array comparative genomic hybridization (aCGH) in a wide variety of chicken breeds. Results: We identified 3,154 CNVs, grouped into 1,556 CNV regions (CNVRs). Thirty percent of the CNVs were detected in at least 2 individuals. The average size of the CNVs detected was 46.3 kb with the largest CNV, located on GGAZ, being 4.3 Mb. Approximately 75% of the CNVs are copy number losses relatively to the Red Jungle Fowl reference genome. The genome coverage of CNVRs in this study is 60 Mb, which represents almost 5.4% of the chicken genome. In particular large gene families such as the keratin gene family and the MHC show extensive CNV. Conclusions: A relative large group of the CNVs are line-specific, several of which were previously shown to be related to the causative mutation for a number of phenotypic variants. The chance that inter-specific CNVs fall into CNVRs detected in chicken is related to the evolutionary distance between the species. Our results provide a valuable resource for the study of genetic and phenotypic variation in this phenotypically diverse species.
2013-08-21 | GSE47623 | GEO
Project description:Copy number variations (CNVs), which represent a significant source of genetic diversity in mammals, are currently being associated with phenotypes of clinical relevance, mostly in humans and mice. Notwithstanding, little is known about the extent of CNV that contributes to genetic variation in cattle. This study reports the highest resolution map of copy number variation in the cattle genome, with 304 CNV regions (CNVRs) being identified among the genomes of 20 bovine samples from 4 dairy and beef breeds. We used a set of NimbleGen CGH arrays that tile across the assayable portion of the cattle genome with approximately 6.3 million probes, at a 301 bp median probe spacing. These CNVRs covered 0.68% (23 Mb) of the genome, and ranged in size from 1.7 to 2,031 kb (median size 16.7 kb). About 20% of the CNVs colocalized with segmental duplications while 30% encompassed genes, mostly related with environmental response. About 10% of the orthologous CNV cow-human genes are related with human disease susceptibility and, hence, may have important phenotypic consequences. Together, this analysis provides a useful resource to assist with the assessment of CNVs in the contexts of bovine variation, health and productive efficiency.
2010-04-22 | GSE18174 | GEO
Project description:Copy number variations (CNVs), which represent a significant source of genetic diversity in mammals, are currently being associated with phenotypes of clinical relevance, mostly in humans and mice. Notwithstanding, little is known about the extent of CNV that contributes to genetic variation in farm animals, including pig. This Nimblegen experiment reports a genome-wide high resolution map of copy number variation in the porcine genome. After remapping the initial CNV sequences to the latest genome assembly (Sus scrofa v.9), 84 CNV regions (CNVRs) were identified among the genomes of 21 related porcine samples from Duroc breed. We used a set of NimbleGen CGH arrays that tile across the assayable portion of the pig genome with approximately 2.1 million probes, at a 502 bp average probe spacing (Sus scrofa pre assembly version 6). These CNVRs covered 2 Mb of the genome, and ranged in size from 4 to 352 kb (median size of 12 kb). Together, this analysis provides a useful resource to assist with the assessment of CNVs in the contexts of porcine variation, health and productive efficiency.
2010-05-01 | GSE19047 | GEO
Project description:Genetic variation is responsible for the generation of phenotypic diversity, including susceptibility to disease. Two major types of variation are known: single nucleotide polymorphisms (SNPs) and a more recently discovered structural variation, involving changes in copy number (CNVs) of kilobase- to megabase-sized chromosomal segments. Variation caused by CNVs has exceeded the amount of SNP-based differences expected to exist between two unrelated humans. Furthermore, many CNVs have been associated with disease predisposition. It is unknown whether CNVs arise in somatic cells, but it is, however, generally assumed that normal cells are genetically identical. Here we show that CNVs are frequent in healthy somatic cells of adult humans. We tested 34 tissue samples from three subjects and, having analyzed for each tissue <10-6 of all cells expected in an adult human, we observed at least six CNVs, affecting a single organ or one or more tissues of the same subject. The CNVs ranged from 82-176 kb, often encompassing known genes, potentially affecting gene function. Our results point to a paradigm shift in the genetics of somatic cells and indicate that humans are commonly affected by somatic mosaicism for stochastic CNVs, which occur in a substantial fraction of cells. A considerable number of phenotypes and diseases affecting humans are a consequence of a somatic process. Thus, our conclusions will be important for the delineation of genetic factors behind these phenotypes. Consequently, biobanks should consider sampling multiple tissues in order to better address mosaicism in the studies of somatic disorders. Furthermore, forensic medicine laboratories should be sensitized to the issue of underestimated frequency of somatic CNV mosaicism. Keywords: copy number variation (CNV), phenotype diversity, somatic cells 31 experiments; each experiment consists of two hybridizations, i.e. regular and dye-swap (62 hybridizations in total); cerebellum from corresponding subject was used as a reference; additionally 12 control self-self hybridizations are included (cerrebellum vs self)
2008-09-16 | E-GEOD-9598 | biostudies-arrayexpress
Project description:Background: Detecting genetic variation is a critical step in elucidating the molecular mechanisms underlying phenotypic diversity. Until recently, such detection has mostly focused on single nucleotide polymorphisms (SNPs) because of the ease in screening complete genomes. Another type of variant, copy number variation (CNV), is emerging as a significant contributor to phenotypic variation in many species. Here we describe a genome-wide CNV study using array comparative genomic hybridization (aCGH) in a wide variety of chicken breeds. Results: We identified 3,154 CNVs, grouped into 1,556 CNV regions (CNVRs). Thirty percent of the CNVs were detected in at least 2 individuals. The average size of the CNVs detected was 46.3 kb with the largest CNV, located on GGAZ, being 4.3 Mb. Approximately 75% of the CNVs are copy number losses relatively to the Red Jungle Fowl reference genome. The genome coverage of CNVRs in this study is 60 Mb, which represents almost 5.4% of the chicken genome. In particular large gene families such as the keratin gene family and the MHC show extensive CNV. Conclusions: A relative large group of the CNVs are line-specific, several of which were previously shown to be related to the causative mutation for a number of phenotypic variants. The chance that inter-specific CNVs fall into CNVRs detected in chicken is related to the evolutionary distance between the species. Our results provide a valuable resource for the study of genetic and phenotypic variation in this phenotypically diverse species. In total 62 chicken DNA samples (derived from 15 lines) were analyzed against the chicken reference animal UCD001 (the same induvidual that was used to generate the chicken genome reference sequence (ICGSC, 2004)
2013-08-21 | E-GEOD-47623 | biostudies-arrayexpress
Project description:Copy-number variants (CNVs) are large-scale amplifications or deletions of DNA that can drive rapid adaptive evolution and result in large-scale changes in gene expression. Whereas alterations in the copy number of one or more genes within a CNV can confer a selective advantage, other genes within a CNV can decrease fitness when their dosage is changed. Dosage compensation - in which the gene expression output from multiple gene copies is less than expected - is one means by which an organism can mitigate the fitness costs of deleterious gene amplification. Previous research has shown evidence for dosage compensation at both the transcriptional level and at the level of protein expression; however, the extent of compensation differs substantially between genes, strains, and studies. Here, we investigated sources of dosage compensation at multiple levels of gene expression regulation by defining the transcriptome, translatome and proteome of experimentally evolved yeast (Saccharomyces cerevisiae) strains containing adaptive CNVs.
2023-11-01 | PXD046587 | Pride
Project description:Copy number variations (CNVs), which represent a significant source of genetic diversity in mammals, are currently being associated with phenotypes of clinical relevance, mostly in humans and mice. Notwithstanding, little is known about the extent of CNV that contributes to genetic variation in cattle. This study reports the highest resolution map of copy number variation in the cattle genome, with 304 CNV regions (CNVRs) being identified among the genomes of 20 bovine samples from 4 dairy and beef breeds. We used a set of NimbleGen CGH arrays that tile across the assayable portion of the cattle genome with approximately 6.3 million probes, at a 301 bp median probe spacing. These CNVRs covered 0.68% (23 Mb) of the genome, and ranged in size from 1.7 to 2,031 kb (median size 16.7 kb). About 20% of the CNVs colocalized with segmental duplications while 30% encompassed genes, mostly related with environmental response. About 10% of the orthologous CNV cow-human genes are related with human disease susceptibility and, hence, may have important phenotypic consequences. Together, this analysis provides a useful resource to assist with the assessment of CNVs in the contexts of bovine variation, health and productive efficiency. 20 samples were analyzed in a dye-swap loop design. In order to cover the latest bovine genome assembly (bt4) with high density, custom Nimblegen HD2 CGH arrays were planned in 3 designs. Each design covered a specific set of chromosomes with 2.1M probes, which yielded 420 bp of average probe spacing (301 bp median probe spacing).
2010-04-22 | E-GEOD-18174 | biostudies-arrayexpress
Project description:Copy number variations (CNVs), which represent a significant source of genetic diversity in mammals, are currently being associated with phenotypes of clinical relevance, mostly in humans and mice. Notwithstanding, little is known about the extent of CNV that contributes to genetic variation in farm animals, including pig. This Nimblegen experiment reports a genome-wide high resolution map of copy number variation in the porcine genome. After remapping the initial CNV sequences to the latest genome assembly (Sus scrofa v.9), 84 CNV regions (CNVRs) were identified among the genomes of 21 related porcine samples from Duroc breed. We used a set of NimbleGen CGH arrays that tile across the assayable portion of the pig genome with approximately 2.1 million probes, at a 502 bp average probe spacing (Sus scrofa pre assembly version 6). These CNVRs covered 2 Mb of the genome, and ranged in size from 4 to 352 kb (median size of 12 kb). Together, this analysis provides a useful resource to assist with the assessment of CNVs in the contexts of porcine variation, health and productive efficiency. 21 samples were analyzed in a dye swap loop design. In order to cover the latest, at the time of the experiment, porcine genome assembly (Sus scrofa v.6) with high density, custom Nimblegen HD2 CGH arrays were planned to cover all the chromosomes available with 2.1M probes, which yielded 502 bp of average probe spacing.
2010-04-30 | E-GEOD-19047 | biostudies-arrayexpress