Project description: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
Project description:Genome wide DNA methylation profiling of MZ twins discordant and concordant for BMI. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 485,000 CpGs. Samples included 30 MZ twin pairs discordant for BMI and 10 pairs concordant for BMI.
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.
Project description:We obtained a comprehensive DNA methylation profile of 15 breast cancer discordant twins, using the high resolution Infinium HumanMethylation450 BeadChip platform (450K, Illumina), previously established to reliably detect methylation changes of more than 450,000 CpG sites. To provide insight into the temporal and causal relationships and predictive potential, samples from breast cancer patients before (7) and after diagnosis (8) were also analyzed. Using whole blood from 15 twin pairs discordant for breast cancer and high-resolution (450k) DNA methylation analysis we identified 403 differentially methylated CpG sites including known and novel potential breast cancer genes.
Project description:We obtained a comprehensive DNA methylation profile of 15 breast cancer discordant twins, using the high resolution Infinium HumanMethylation450 BeadChip platform (450K, Illumina), previously established to reliably detect methylation changes of more than 450,000 CpG sites. To provide insight into the temporal and causal relationships and predictive potential, samples from breast cancer patients before (7) and after diagnosis (8) were also analyzed. Using whole blood from 15 twin pairs discordant for breast cancer and high-resolution (450k) DNA methylation analysis we identified 403 differentially methylated CpG sites including known and novel potential breast cancer genes. 30 Samples
Project description:This is the first high-throughput analysis of DNA methylation in autoimmune diseases. We have used a cohort of MZ twins discordant for three diseases whose clinical signs often overlap: systemic lupus erythematosus (SLE), rheumatoid arthritis and dermatomyositis. Only MZ twins discordant for SLE featured widespread changes in the DNA methylation status of a significant number of genes. Individual analysis confirmed the existence of DNA methylation and expression changes in genes relevant to SLE pathogenesis. Our findings not only identify potentially relevant DNA methylation markers for the clinical characterization of SLE patients but also support the notion that epigenetic changes may be critical in the clinical manifestations of autoimmune disease. Total DNA isolated by standard procedures from 59 White Blood Cell (WBC) samples corresponding to monozygotic twins discordant for three different autoimmune diseases: systemic lupus erythematosus (SLE), rheumatoid arthritis (RA) and dermatomyositis (DM) and two additional controls for each MZ twin pair.
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.
Project description:Up until now, no study has looked specifically at epigenomic landscapes throughout twin samples, discordant for Anorexia nervosa (AN). Our goal was to find evidence to confirm the hypothesis that epigenetic variations play a key role in the aetiology of AN. In this study, we quantified genome-wide patterns of DNA methylation using the Infinium Human DNA Methylation EPIC BeadChip array (850K) in DNA samples isolated from whole blood collected from a group of 7 monozygotic twin pairs discordant for AN. Results were then validated performing a genome-wide DNA methylation profiling using DNA extracted from whole blood of a group of non-family related AN patients and a group of healthy controls. Our first analysis using the twin sample revealed 9 CpGs associated to a gene. The validation analysis showed two statistically significant CpGs with the rank regression method related to two genes associated to metabolic traits, PPP2R2C and CHST1. When doing beta regression, 6 of them showed statistically significant differences, including 3 CpGs associated to genes JAM3, UBAP2L and SYNJ2.Finally, the overall pattern of results shows genetic links to phenotypes which the literature has constantly related to AN, including metabolic and psychological traits. The genes PPP2R2C and CHST1 have both been linked to the metabolic traits type 2 diabetes through GWAS studies. The genes UBAP2L and SYNJ2 have been related to other psychiatric comorbidity.
Project description:Genome wide DNA methylation profiling of saliva samples from male identical twins discordant for sexual orientation, age 21 to 55. The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in bisulfite converted DNA. Samples included 34 pairs of identical twins and one set of identical triplets, and 13 hybridisations were technical replicates of a selection of those samples. Bisulphite converted DNA isolated from saliva of identical twin pairs were hybridised to the Illumina Infinium 27k Human Methylation Beadchip v1.2