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Genome-wide DNA methylation and gene expression analyses of monozygotic twin discordant for intelligence levels

ABSTRACT: This SuperSeries is composed of the following subset Series: GSE33476: Expression data from phenotypically discordant monozygotic twin lymphoblasts GSE33477: Analysis of genome-wide methylation of phenotypically discordant monozygotic twins Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Chihchieh Yu

PROVIDER: E-GEOD-33478 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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

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

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

Homo sapiens

Project description:Expression data from phenotypically discordant monozygotic twin lymphoblasts

| PRJNA154283 | ENA

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

Analysis of genome-wide methylation of phenotypically discordant monozygotic twins

2012-10-20 | GSE33477 | GEO

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)

2007-12-11 | GSE9608 | GEO

Homo sapiens

Project description:Analysis of genome-wide methylation of phenotypically discordant monozygotic twins

| PRJNA154285 | ENA

Hypermethylation in the ZBTB20 gene is associated with major depressive disorder

Project description:Genome-wide MeDIP-Sequencing of 23 monozygotic twin pairs (n=46) from Australia discordant for major depressive disorder (MDD). MeDIP-seq of 23 monozygotic twin pairs discordant for major depressive disorder. MZ twin pairs were compared to identify significantly differently methylated sites associated with MDD.

2014-01-25 | E-GEOD-54370 | biostudies-arrayexpress

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