D411df7c-74ee-45ad-a43c-482eb0cab887 - samples
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ABSTRACT:
PROVIDER: EGAD00001005417 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:We analyzed samples from fourteen deaf individuals (Affected 1 through 14), fifteen hearing maternally related family members (Unaffected 1-15), six marry-in controls (Controls 1-6) from extended pedigree from Arab-Israeli village, and nine individuals from another Arab-Israeli village (Controls 7-15). All affected and unaffected maternally-related individuals carry homoplasmic mutation in the 12S rRNA gene of the mitochondrial DNA, associated with both non-syndromic and aminoglycosides-induced deafness. Keywords: Comparison of genome-wide expression in cell lines of maternally-related individuals with mitochondrial mutation and controls carrying wild-type mitochondrial chromosome.
2009-06-01 | GSE9822 | GEO
Project description:A consanguineous family segregating anhidrosis (recessive, familial) Shared homozygous regions were identified by comparing SNP genotyping results from four affected family members
2014-09-05 | GSE61122 | GEO
Project description:homozygosity mapping in a family with ovarian failure Two affected and four unafected siblings from consanguineous family were studied to identify shared regions of homozygosity in affected females with gonadal dysgenesis
2014-10-16 | E-GEOD-62347 | biostudies-arrayexpress
Project description:Affymetrix 6.0 SNP data for genome-wide linkage scans of a consanguineous Kuwaiti family with a combined immunodeficiency Peripheral blood or saliva were used for patients who had no history of hematopoietic stem cell transplant (HSCT). Fibroblasts cell lines were used as a source of DNA for individuals who received HSCT. Genomic DNA from 32 subjects (5 affected and 27 unaffected) from Family A was genotyped at 909,622 single nucleotide polymorphisms (SNPs) on the Genome-Wide Human SNP 6.0 Array (Affymetrix).
2015-11-25 | E-GEOD-75314 | biostudies-arrayexpress
Project description:A consanguineous family segregating anhidrosis (recessive, familial) Shared homozygous regions were identified by comparing SNP genotyping results from four affected family members Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from peripheral blood samples.
2014-09-05 | E-GEOD-61122 | biostudies-arrayexpress
Project description:This experiment was carried out in the context of a whole-genome sequencing study in 4 affected and 4 unaffected relatives of a consanguineous Italian family characterized by the high prevalence of multiple sclerosis. These data were used to evaluate differences in GRAMD1B gene expression in whole blood comparing healthy and affected subjects of the family. Functional experiments have been subsequently performed to evaluate the involvement of this gene in multiple sclerosis.
2018-08-01 | GSE103005 | GEO
Project description:Affymetrix 6.0 SNP data for genome-wide linkage scans of a consanguineous Kuwaiti family with a combined immunodeficiency Peripheral blood or saliva were used for patients who had no history of hematopoietic stem cell transplant (HSCT). Fibroblasts cell lines were used as a source of DNA for individuals who received HSCT.
2015-11-25 | GSE75314 | GEO
Project description:300,000 SNPs genotyped (Illumina CytoSNP12v2 array) in a family with unexplained inherited kidney disease. Analysed using parametric and Combinatorial Conflicting Homozygosity analysis, as described in Levine et al. BMC Genomics 2015. Abstract: Background: The ability to identify regions of the genome inherited with a dominant trait in one or more families has become increasingly valuable with the wide availability of next generationhigh throughput sequencing technology. While a number of methods exist for mapping of homozygous variants segregating with recessive traits in consanguineous families, dominant conditions are conventionally analysed by by linkage analysis, which requires computationally demanding haplotype reconstruction from marker genotypes and, even using advanced parallel approximation implementations, can take substantial time. In addition, linkage analysis lacks sensitivity in the presence of phenocopies (individuals sharing the trait but not the genetic variant responsible). Combinatorial Conflicting Homozygosity (CCH) analysis uses bi-allelic single nucleotide polymorphism (SNP) marker genotypes to identify genetic loci within which consecutive markers are not homozygous for different alleles. This allows inference of identical by descent (IBD) inheritance of a haplotype among a set or subsets of related or unrelated individuals. Results: A single genome-wide conflicting homozygosity analysis takes <3 seconds and parallelisation permits multiple combinations of subsets of individuals to be analysed quickly. Analysis of unrelated individuals demonstrated that in the absence of IBD inheritance, runs of no- CH exceeding 4 cM are not observed. At this threshold, CCH is >97% sensitive and specific for IBD regions within a pedigree exceeding this length and was able to identify the locus responsible for a dominantly inherited kidney disease in a Turkish Cypriot family in which 6 six out 17 affected individuals were phenocopies. It also revealed shared ancestry at the disease-linked locus among affected individuals from two different Cypriot populations. Conclusions: CCH does not require computationally demanding haplotype reconstruction and can detect regions of shared inheritance of a haplotype among subsets of related or unrelated individuals directly from SNP genotype data. In contrast to parametric linkage allowing for phenocopies, CCH directly provides the exact number and identity of individuals sharing each locus. CCH can also identify regions of shared ancestry among ostensibly unrelated individuals who share a trait. CCH is implemented in Python and is freely available (as source code) for download at http://sourceforge.net/projects/cchsnp/. Linkage and identity-by-descent studies in a single family with 17 individuals affected with kidney disease
2015-01-27 | E-GEOD-65312 | biostudies-arrayexpress
Project description:The mechanisms by which DNA alleles contribute to disease risk, drug response, and other human phenotypes are highly context-specific, varying across cell types and under different conditions. Human induced pluripotent stem cells (hiPSCs) are uniquely suited to study these context-dependent effects, but to do so requires cell lines from hundreds or thousands of individuals. Village cultures, where multiple hiPSC lines are cultured and differentiated in a single dish, provide an elegant solution for scaling hiPSC experiments to the necessary sample sizes required for population-scale studies. Here, we show the utility of village models, demonstrating how cells can be assigned back to a donor line using single-cell sequencing and addressing whether line-specific signalling alters the transcriptional profiles of companion lines in a village. We generated single-cell RNA sequence data from hiPSC lines cultured independently (uni-culture) and in villages at three independent sites. Using a mixed linear model framework, we estimate that the proportion of transcriptional variation across cells is predominantly due to donor effects, with minimal evidence of variation due to culturing in a village system. We demonstrate that the genetic, epigenetic or hiPSC line-specific effects explain a large percentage of gene expression variation for many genes, not the village status. This is reiterated by replication of previously identified genetic effects. Finally, we demonstrate consistency in the landscape of cell states between uni- and village-culture systems. We demonstrate that village methods can effectively detect hiPSC line-specific effects, including sensitive dynamics of cell states.
2023-02-14 | GSE224950 | GEO
Project description:The mechanisms by which DNA alleles contribute to disease risk, drug response, and other human phenotypes are highly context-specific, varying across cell types and under different conditions. Human induced pluripotent stem cells (hiPSCs) are uniquely suited to study these context-dependent effects, but to do so requires cell lines from hundreds or thousands of individuals. Village cultures, where multiple hiPSC lines are cultured and differentiated in a single dish, provide an elegant solution for scaling hiPSC experiments to the necessary sample sizes required for population-scale studies. Here, we show the utility of village models, demonstrating how cells can be assigned back to a donor line using single-cell sequencing and addressing whether line-specific signalling alters the transcriptional profiles of companion lines in a village. We generated single-cell RNA sequence data from hiPSC lines cultured independently (uni-culture) and in villages at three independent sites. Using a mixed linear model framework, we estimate that the proportion of transcriptional variation across cells is predominantly due to donor effects, with minimal evidence of variation due to culturing in a village system. We demonstrate that the genetic, epigenetic or hiPSC line-specific effects explain a large percentage of gene expression variation for many genes, not the village status. This is reiterated by replication of previously identified genetic effects. Finally, we demonstrate consistency in the landscape of cell states between uni- and village-culture systems. We demonstrate that village methods can effectively detect hiPSC line-specific effects, including sensitive dynamics of cell states.
2023-02-14 | GSE225278 | GEO