Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

BLUEPRINT DNA methylation profiles of monocytes, T cells and B cells in type 1 diabetes-discordant monozygotic twins

ABSTRACT: BLUEPRINT DNA methylation profiles of monocytes, T cells and B cells in type 1 diabetes-discordant monozygotic twins

PROVIDER: EGAS00001001598 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Publications

Increased DNA methylation variability in type 1 diabetes across three immune effector cell types.

Paul Dirk S DS Teschendorff Andrew E AE Dang Mary A N MA Lowe Robert R Hawa Mohammed I MI Ecker Simone S Beyan Huriya H Cunningham Stephanie S Fouts Alexandra R AR Ramelius Anita A Burden Frances F Farrow Samantha S Rowlston Sophia S Rehnstrom Karola K Frontini Mattia M Downes Kate K Busche Stephan S Cheung Warren A WA Ge Bing B Simon Marie-Michelle MM Bujold David D Kwan Tony T Bourque Guillaume G Datta Avik A Lowy Ernesto E Clarke Laura L Flicek Paul P Libertini Emanuele E Heath Simon S Gut Marta M Gut Ivo G IG Ouwehand Willem H WH Pastinen Tomi T Soranzo Nicole N Hofer Sabine E SE Karges Beate B Meissner Thomas T Boehm Bernhard O BO Cilio Corrado C Elding Larsson Helena H Lernmark Åke Å Steck Andrea K AK Rakyan Vardhman K VK Beck Stephan S Leslie R David RD

Nature communications 20161129

The incidence of type 1 diabetes (T1D) has substantially increased over the past decade, suggesting a role for non-genetic factors such as epigenetic mechanisms in disease development. Here we present an epigenome-wide association study across 406,365 CpGs in 52 monozygotic twin pairs discordant for T1D in three immune effector cell types. We observe a substantial enrichment of differentially variable CpG positions (DVPs) in T1D twins when compared with their healthy co-twins and when compared w ...[more]

PMID: 27898055

Similar Datasets

Phenotypically concordant and discordant monozygotic twins display different DNA copy number variation profiles (BAC)

Project description:The exploration of copy number variation (CNV), notably of somatic cells, is an understudied aspect of genome biology. Any differences in the genetic make-up between twins derived from the same zygote represent an extreme example of somatic variation. We studied 19 pairs of monozygotic twins with either concordant or discordant phenotype using two platforms for genome-wide CNV analyses and show that CNVs exist within pairs in both groups. These findings impact our views of genotypic and phenotypic diversity in monozygotic twins, and suggest that CNV analysis in phenotypically discordant monozygotic twins may provide a powerful tool in identifying disease predisposition loci. Our results also imply that caution should be exercised with the interpretation of disease causality of de novo CNVs found in patients based on analysis of a single tissue in routine disease-related DNA diagnostics Keywords: copy number variation, concordant and discordant monozygotic twins

2007-12-11 | GSE9559 | GEO

Genome-Wide Analysis of DNA Methylation Differences in Muscle and Fat from Monozygotic Twins Discordant for Type 2 Diabetes

2012-12-10 | GSE38291 | GEO

Phenotypically concordant and discordant monozygotic twins display different DNA copy number variation profiles (SNP)

Project description:The exploration of copy number variation (CNV), notably of somatic cells, is an understudied aspect of genome biology. Any differences in the genetic make-up between twins derived from the same zygote represent an extreme example of somatic variation. We studied 19 pairs of monozygotic twins with either concordant or discordant phenotype using two platforms for genome-wide CNV analyses and show that CNVs exist within pairs in both groups. These findings impact our views of genotypic and phenotypic diversity in monozygotic twins, and suggest that CNV analysis in phenotypically discordant monozygotic twins may provide a powerful tool in identifying disease predisposition loci. Our results also imply that caution should be exercised with the interpretation of disease causality of de novo CNVs found in patients based on analysis of a single tissue in routine disease-related DNA diagnostics Analysis of copy number variability in concordant healthy monozygotic twin pairs as well as three monozygostic twin pairs discordant a Parkinsons disease (PD) phenotype using the Illumina HumanHap 300 dead chips. Keywords: SNP data

2007-12-11 | GSE9608 | GEO

Phenotypically concordant and discordant monozygotic twins display different DNA copy number variation profiles (SNP)

Project description:The exploration of copy number variation (CNV), notably of somatic cells, is an understudied aspect of genome biology. Any differences in the genetic make-up between twins derived from the same zygote represent an extreme example of somatic variation. We studied 19 pairs of monozygotic twins with either concordant or discordant phenotype using two platforms for genome-wide CNV analyses and show that CNVs exist within pairs in both groups. These findings impact our views of genotypic and phenotypic diversity in monozygotic twins, and suggest that CNV analysis in phenotypically discordant monozygotic twins may provide a powerful tool in identifying disease predisposition loci. Our results also imply that caution should be exercised with the interpretation of disease causality of de novo CNVs found in patients based on analysis of a single tissue in routine disease-related DNA diagnostics Analysis of copy number variability in concordant healthy monozygotic twin pairs as well as three monozygostic twin pairs discordant a Parkinsons disease (PD) phenotype using the Illumina HumanHap 300 dead chips. Genotyping using the HumanHap300-duo bead chip from Illumina, GEO accession GPL5711

2010-06-25 | E-GEOD-9608 | biostudies-arrayexpress

Analysis of genome-wide methylation of phenotypically discordant monozygotic twins

Project description:Human intelligence demonstrates one of the highest heritabilities among human quantitative traits. Phenotypically discordant monozygotic twins provide a way to identify loci reponsible for the phenotypical differences. We performed comprehensive DNA methylation analysis in monozygotic twins manifesting differences in IQ scores. Genes with significantly different methylation status are considered as candidates related to human intelligence.

2012-10-20 | GSE33477 | GEO

Genome-Wide Analysis of DNA Methylation Differences in Muscle and Fat from Monozygotic Twins Discordant for Type 2 Diabetes

Project description:Monozygotic twins discordant for type 2 diabetes constitute an ideal model to study environmental contributions to type 2 diabetic traits. We aimed to examine whether global DNA methylation differences exist in major glucose metabolic tissues from twelve 53–80 year-old monozygotic discordant twin pairs. DNA methylation was measured by the Illumina HumanMethylation27 BeadChip in 22 (11 pairs) skeletal muscle and 10 (5 pairs) subcutaneous adipose tissue biopsies. No replicates were included.

2012-12-10 | E-GEOD-38291 | biostudies-arrayexpress

Expression profiling in monozygotic twins discordant for bipolar disorder

Project description:To identify genes dysregulated in bipolar disorder (BD1) we carried out global gene expression profiling using whole-genome microarrays. To minimize genetic variation in gene expression levels between cases and controls we compared expression profiles in lymphoblastoid cell lines from monozygotic twin pairs discordant for the disease. We identified 82 genes that were differentially expressed by ≥ 1.3-fold in 3 BD1 cases compared to their co-twins, and which were statistically (p ≤ 0.05) differentially expressed between the groups of BD1 cases and controls. Using qRT-PCR we confirmed the differential expression of some of these genes, including: KCNK1, MAL, PFN2, TCF7, PGK1, and PI4KCB, in at least 2 of the twin pairs. In contrast to the findings of a previous study by Kakiuchi and colleagues with similar discordant BD1 twin design1 our data do not support the dysregulation of XBP1 and HSPA5. From pathway and gene ontology analysis we identified up-regulation of the WNT signalling pathway and the biological process of apoptosis. The differentially regulated genes and pathways identified in this study may provide insights into the biology of BD1. Keywords: Bipolar Disorder, Monozygotic Twins, Discordant, Trasnsformed Lymphocytes

2007-03-31 | GSE7036 | GEO

Methylomic Analysis reveals Epigenetic Pattern of SH2B1 in Chinese Monozygotic Twins Discordant for Autism Spectrum Disorder [Bisulfite-seq]

Project description:Autism spectrum disorder(ASD) is a complex neurodevelopmental disorder. Aberrant DNA methylation has been observed in ASD but the mechanisms remain largely unknown. Here, we employed discordant monozygotic twins to investigate the contribution of DNA methylation to ASD etiology. Genome-wide DNA methylation analysis was performed using samples obtained from five pairs of ASD-discordant monozygotic twins, which revealed a total of 2397 differentially methylated genes. Further, such gene list was annotated with Kyoto Encyclopedia of Genes and Genomes and demonstrated predominant activation of neurotrophin signaling pathway in ASD-discordant monozygotic twins. The methylation of SH2B1 gene was further confirmed in the ASD-discordant, ASD-concordant monozygotic twins, and a set of 30 pairs of sporadic case-control by bisulfite-pyrosequencing. The results showed that there was a greater DNA methylation difference in ASD-discordant monozygotic twins than ASD-concordant monozygotic twins. Further, verification of the Chr.16:28856743 of SH2B1 showed significant differences in DNA methylation between case and control. These results suggest abnormal methylation of SH2B1 is associated with ASD etiology. Our data suggest that it might be worthwhile to further explore the functions of SH2B1 and related genes of neurotrophin signaling pathway in ASD.

2018-12-31 | GSE108812 | GEO

Methylomic Analysis reveals Epigenetic Pattern of SH2B1 in Chinese Monozygotic Twins Discordant for Autism Spectrum Disorder [Methylation 450K]

2018-12-31 | GSE108785 | GEO

Transcription profiling of human monozygotic twins discordant for bipolar disorder

Project description:To identify genes dysregulated in bipolar disorder (BD1) we carried out global gene expression profiling using whole-genome microarrays. To minimize genetic variation in gene expression levels between cases and controls we compared expression profiles in lymphoblastoid cell lines from monozygotic twin pairs discordant for the disease. We identified 82 genes that were differentially expressed by â¥ 1.3-fold in 3 BD1 cases compared to their co-twins, and which were statistically (p â¤ 0.05) differentially expressed between the groups of BD1 cases and controls. Using qRT-PCR we confirmed the differential expression of some of these genes, including: KCNK1, MAL, PFN2, TCF7, PGK1, and PI4KCB, in at least 2 of the twin pairs. In contrast to the findings of a previous study by Kakiuchi and colleagues with similar discordant BD1 twin design1 our data do not support the dysregulation of XBP1 and HSPA5. From pathway and gene ontology analysis we identified up-regulation of the WNT signalling pathway and the biological process of apoptosis. The differentially regulated genes and pathways identified in this study may provide insights into the biology of BD1. Experiment Overall Design: Three pairs of Monozygotic Twins which were discordant for Bipolar Disorder with psychotic features were examined. (n=6)

2008-06-15 | E-GEOD-7036 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data