Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Analysis of genome-wide methylation of phenotypically discordant monozygotic twins

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE33477 | GEO | 2012/10/20

SECONDARY ACCESSION(S): PRJNA154285

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

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. Methylation profiling was conducted using methylated DNA enriched fraction by MethylMiner. Subjects were compared with their co-twins by MAT software and bed files were generated. Significantly high methyalted regions with MAT score p value < 0.000001 in each twin pairs were extracted as candidates.

2012-10-20 | E-GEOD-33477 | biostudies-arrayexpress

Expression data from phenotypically discordant monozygotic twin lymphoblasts

Project description:Human intelligence demonstrates one of the highest heritabilities among human quantitative traits. Phenotypically discordant monozygotic twins provide a way to identify loci responsible for normal-range intelligence. We conducted array-based genome-wide gene expression analysis aiming to identify genes displaying significant difference among monozygotic twin pairs manifesting between-co-twins IQ differences.

2012-10-20 | GSE33476 | GEO

Expression data from phenotypically discordant monozygotic twin lymphoblasts

Project description:Human intelligence demonstrates one of the highest heritabilities among human quantitative traits. Phenotypically discordant monozygotic twins provide a way to identify loci responsible for normal-range intelligence. We conducted array-based genome-wide gene expression analysis aiming to identify genes displaying significant difference among monozygotic twin pairs manifesting between-co-twins IQ differences. Total RNA was isolated from B-lymphoblastoid cell lines and applied to Affymetirx arrays after reverse transcription. 17 twin pairs (34 subjects) were recruited in this study.

2012-10-20 | E-GEOD-33476 | biostudies-arrayexpress

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

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

PLASMA PROTEOMIC ANALYSIS OF RARE BMI-DISCORDANT MONOZYGOTIC TWIN PAIRS

Project description:The aim of the current study is to establish the effect of excess body wiehgt and liver fat on plasma proteomic profile without interference from genetic variation. Label-free proteomics (HDMSE) was performed on plasma samples of young healthy monozygotic twins who were discordant for BMI. the twins were further subdivided into groups of liver fat discordant and liver fat concordant to see the efefct fo liver fat on plasma proteomic signature.

2019-02-01 | PXD010691 | Pride

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

HumanMethylation450 (450k) data for 79 rheumatoid arthritis disease discordant monozygotic twin pairs

Project description:This project contains genome-wide DNA methylation data generated using the HumanMethylation450 BeadChip (Illumina), for 79 rheumatoid arthritis (RA) discordant monozygotic twin pairs. By investigating disease discordant monozygotic twins, DNA methylation can be assessed without the confounding influence of genetic heterogeneity which often affects case-control epigenome-wide association studies of common diseases. Twins were recruited from two cohorts; Arthritis Research UK in Manchester and TwinsUK in London.

2018-07-24 | E-MTAB-6988 | 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