Whole-genome gene expression variation in 210 unrelated HapMap individuals
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE6536 | GEO | 2007/02/09
SECONDARY ACCESSION(S): PRJNA98815
REPOSITORIES: GEO
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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: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:The contribution to genetic diversity of genomic segmental copy number variations (CNVs) is less well understood than that of single-nucleotide polymorphisms (SNPs). While less frequent than SNPs, CNVs have greater potential to affect phenotype. In this study, we have performed the most comprehensive survey to date of CNVs in mice, analyzing the genomes of 42 Mouse Phenome Consortium priority strains. This microarray comparative genomic hybridization (CGH)-based analysis has identified 2094 putative CNVs, with an average of 10 Mb of DNA in 51 CNVs when individual mouse strains were compared to the reference strain C57BL/6J. This amount of variation results in gene content that can differ by hundreds of genes between strains. These genes include members of large families such as the major histocompatibility and pheromone receptor genes, but there are also many singleton genes including genes with expected phenotypic consequences from their deletion or amplification. Using a whole-genome association analysis, we demonstrate that complex multigenic phenotypes, such as food intake, can be associated with specific copy number changes. Keywords: comparative genomic hybridization
2007-11-06 | GSE9186 | GEO
Project description:Genome-wide patterns of variation across individuals provide a powerful source of data for uncovering the history of migration, range expansion, and adaptation of the human species. However, high-resolution surveys of variation in genotype, haplotype and copy number have generally focused on a small number of population groups. Here we report the analysis and public release of high-quality genotypes at 525,910 single-nucleotide polymorphisms (SNPs) and 396 copy-number-variable loci in a worldwide sample of 29 populations. Analysis of SNP genotypes yields strongly supported fine-scale inferences about population structure. Increasing linkage disequilibrium is observed with geographic distance from Africa, as expected under a serial founder effect for an out-of-Africa spread of human populations. New approaches for haplotype analysis produce inferences about population structure that complement results based on unphased SNPs. Despite a difference from SNPs in the frequency spectrum of the copy-number variants (CNVs) detected—including a comparatively large number of CNVs in previously unexamined populations from Oceania and the Americas—the global distribution of CNVs largely accords with population structure analyses for SNP data sets of similar size. Our results produce new inferences about inter-population variation, support the utility of CNVs in human population-genetic research, and serve as a genomic resource for human-genetic studies in diverse worldwide populations. Keywords: High Density SNP array
2008-02-05 | GSE10331 | 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) can create new genes, change gene dosage, reshape gene structures, and modify elements regulating gene expression. As with all types of genetic variation, CNVs may influence phenotypic variation and gene expression. CNVs are thus considered major sources of genetic variation. Little is known, however, about their contribution to genetic variation in rice. To detect CNVs, we used a set of NimbleGen whole-genome comparative genomic hybridization arrays containing 715,851 oligonucleotide probes with a median probe spacing of 500 bp. We compiled a high-resolution map of CNVs in the rice genome, showing 641 CNVs between the genomes of the rice cultivars ‘Nipponbare’ (from O. sativa ssp. japonica) and ‘Guang-lu-ai 4’ (from O. sativa ssp. indica). These CNVs contain some known genes. They are linked to variation among rice varieties, and are likely to contribute to subspecific characteristics.
2012-07-01 | GSE30542 | 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. 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 variations (CNVs) are an important source of genomic structural variation, and can be used as markers to investigate phenotypic and economic traits. CNVs also have functional effects on gene expression and can contribute to disease susceptibility in mammals. Currently, single nucleotide polymorphism genotyping arrays (SNP chips) are the technology of choice for identifying CNV variations. Microarray technologies have recently been used to study the bovine genome. The objective of the present study was to develop CNVs in Holstein cows from the Northwest of Mexico using the Affymetrix Axiom Genome-Wide BOS 1 Array, which assays 648,315 SNPs and provides a wide coverage for genome-wide studies. We applied the two most widely used algorithms for the discovery of CNVs (PennCNV and QuantiSNP) and found 56 CNV regions (CNVRs) representing 0.33% of the bovine genome (8.46 Mb). These CNVRs ranged from 1.5 to 970.8 kb with an average length of 151 kb. They involved 103 genes and showed a 28% overlap with CNVRs already reported. Of the 56 CNVRs found, 20 were novel. In this study we present the first genomic analysis of CNVs in Mexican cattle using highdensity SNP data. Our results provide a new reference basis for future genomic variation and association studies between CNVs and phenotypes, especially in Mexican cattle.
2015-09-30 | GSE54813 | GEO
Project description:Multiple common variants for celiac disease influencing immune gene expression The goal of this study was to study the effect of genetic variation on gene expression of untouched primary leucocytes. We obtained peripheral blood RNA from unrelated Dutch individuals using PAXgene tubes. We performed a second-generation genome wide association study of 4,533 celiac disease cases and 10,750 controls. We genotyped 113 selected SNPs with PGWAS<10-4, and 18 SNPs from 14 known loci, in a further 4,918 cases and 5,684 controls. Variants from 13 new regions reached genome wide significance (Pcombined<5x10-8), most contain immune function genes (BACH2, CCR4, CD80, CIITA/SOCS1/CLEC16A, ICOSLG, ZMIZ1) with ETS1, RUNX3, THEMIS and TNFRSF14 playing key roles in thymic T cell selection. A further 13 regions had suggestive association evidence. In an expression quantitative trait meta-analysis of 1,469 whole blood samples, 20 of 38 (52.6%) tested loci had celiac risk variants correlated (P<0.0028, FDR 5%) with cis gene expression. *** Due to privacy concerns, the SNP data is not available with unrestricted access. Individuals wishing to obtain this data for research purposes may request access directly from the submitter (contact info below). ***
2010-02-28 | GSE20142 | GEO
Project description:Multiple common variants for celiac disease influencing immune gene expression The goal of this study was to study the effect of genetic variation on gene expression of untouched primary leucocytes. We obtained peripheral blood RNA from unrelated Dutch and UK individuals using PAXgene tubes. We performed a second-generation genome wide association study of 4,533 celiac disease cases and 10,750 controls. We genotyped 113 selected SNPs with PGWAS<10-4, and 18 SNPs from 14 known loci, in a further 4,918 cases and 5,684 controls. Variants from 13 new regions reached genome wide significance (Pcombined<5x10-8), most contain immune function genes (BACH2, CCR4, CD80, CIITA/SOCS1/CLEC16A, ICOSLG, ZMIZ1) with ETS1, RUNX3, THEMIS and TNFRSF14 playing key roles in thymic T cell selection. A further 13 regions had suggestive association evidence. In an expression quantitative trait meta-analysis of 1,469 whole blood samples, 20 of 38 (52.6%) tested loci had celiac risk variants correlated (P<0.0028, FDR 5%) with cis gene expression. *** Due to privacy concerns, the SNP data is not available with unrestricted access. Individuals wishing to obtain this data for research purposes may request access directly from the submitter (contact info below). ***
2010-02-28 | GSE20332 | GEO