GEO DataSets

(Submitter supplied) This study performed a genome-wide methylation analysis of positively isolated CD19+ B cells in rheumatoid arthritis (RA) and healthy controls. The Ilumina HumanMethylation450 BeadChip was uset to obtain the methylation levels at >400,000 CpG sites. Samples include 49 RA patients and 73 healthy controls.

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

122 Samples

Download data: IDAT

(Submitter supplied) Objective: Systemic lupus erythematosus (SLE) has limited monozygotic (MZ) twin concordance, implying a role for other pathogenic factors than genetic variation, such as epigenetic changes. Using the disease discordant twin model, we investigated genome-wide DNA methylation changes in sorted CD4+ T-cells, monocytes, granulocytes and B-cells in twin pairs with at least one SLE-affected twin. Methods: Peripheral blood from 15 SLE twin pairs (six MZ, nine dizygotic (DZ)) was processed using gradient density centrifugation for the granulocyte fraction. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

104 Samples

Download data: CSV, IDAT

(Submitter supplied) Epigenetic alternations in addition to genetic factors are important contributors to the pathogenesis of Systemic Lupus Erythematosus (SLE). Recent studies revealed that aberrant changes in DNA methylation occur in SLE patients, and potentially contributes to the pathogenesis. Using genome-wide DNA methylation microarray, the Illumina Infinium HumanMethylation450 BeadChip, we compared the DNA methylation level of white blood cells between Chinese female SLE patients with that of healthy controls. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

22 Samples

Download data: TXT

(Submitter supplied) Study of cell type specific DNA Methylation profiles for 4 cell types.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL20873

18 Samples

Download data: XYS

(Submitter supplied) Study of changes in DNA Methylation in monozygotic Rheumatoid Arthritis discordant twins and ACPA+/- discordant twins

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL20873

24 Samples

Download data: XYS

(Submitter supplied) This study performed Illumina Methylation450 analysis of CD4+ T-cells, CD19+ B-cells and CD14+ Monocytes from lupus patients and controls. A validation cohort was further analyzed with the same platform using CD4+ T-cells, CD45RO-CD45RA+ naive T-cells, CD45RO+CD45RA- memory T-cells, and CD25+CD127- regulatory T-cells.

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

434 Samples

Download data: TXT

(Submitter supplied) We developed a comprehensive analysis pipeline to conduct Epigenome-wide Association Studies (EWAS) using the Illumina Infinium HumanMethylation450 BeadChip, based on data from 2,664 individuals, and 36 samples measured in duplicate. We propose new approaches to quality control, data normalisation and batch correction through control-probe adjustment, and demonstrate that these improve data-quality. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

2711 Samples

Download data: TXT

(Submitter supplied) The genetic risk associated with rheumatoid arthritis (RA) includes genes regulating DNA methylation and many T-cells genes with a strong MHC-association, pointing to immuno-genetic mechanisms as disease triggers. We aim to identify methylation change in naive and memory CD4+T-cells and monocytes in the early stage of disease, to gain insight to disease pathology. DNA-methylation was explored using a genome wide array (DNA methylation Illumina 450K bead chip array). more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

46 Samples

Download data: IDAT

(Submitter supplied) To better characterize smoking–associated methylation changes in whole blood, we used Illumina HumanMethylation450 BeadChip to assess DNA samples from current (SM, n=172) and never smokers (NS, n=81).

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

253 Samples

Download data: IDAT, TXT

(Submitter supplied) Targeted bisulphite pyrosequencing of the major histocompatibility complex (MHC) region was performed using CATCH-Seq kits on whole blood DNA isolated from healthy controls and patients with rheumatoid arthritis. Data analysis showed 74 unique and differentially methylated loci (DMLs) in the MHC region of RA patients compared to healthy controls. Further, differentially methylated CpGs in C6orf10 gene were negatively associated with preclinical RA risk factors.

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL16791

34 Samples

Download data: XLSX

(Submitter supplied) Genome-wide DNA methylation level was studied to determine whether Rheumatoid arthritis patients (cases) has methylation differences comparing to normal controls in peripheral blood leukocytes (PBLs). We used Illumina HumanMethylation450 BeadChip array to determine the genome-wide DNA methylation difference in PBLs from Rheumatoid arthritis patients (cases) and normal controls

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

689 Samples

Download data: IDAT, TXT

(Submitter supplied) The pathophysiology of intervertebral disc (IVD) degeneration is not entirely understood; however, environmental and endogenous factors under genetic predisposition are considered to initiate the degenerative changes of human IVDs. Aberrant epigenetic alterations play a pivotal role in several diseases, including osteoarthritis. However, epigenetic alternations, including DNA methylation, in IVD degeneration have not been evaluated. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL21145

16 Samples

Download data: IDAT, TXT

(Submitter supplied) Genome wide DNA methylation profiling of psoriatic disease skin tissue and adjacent Normal skin samples. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 450,000 CpGs in tissue samples. Total 48 samples were taken including 24 paired tissues.

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

48 Samples

Download data: IDAT

(Submitter supplied) Whole blood (paxgene) gene expression was measured using Affymetrix microarray from 377 individuals with rheumatoid arthritis.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13158

377 Samples

Download data: CEL

(Submitter supplied) Samples from 72 AD patients and 62 age-matched cognitively normal controls were assayed using Illumina© Infinium MethylationEPIC BeadChip. We performed an epigenome-wide association study (EWAS) to evaluate the epigenetic differences using post-mortem superior temporal gyrus (STG) and inferior frontal gyrus (IFG) samples. We performed an epigenome-wide association study (EWAS) to evaluate the epigenetic differences using post-mortem superior temporal gyrus (STG) and inferior frontal gyrus (IFG) samples.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL21145

244 Samples

Download data: TXT

(Submitter supplied) Background and Purpose The neurological course after stroke is highly variable and is determined by demographic, clinical, and genetic factors. However, other heritable factors such as epigenetic DNA methylation could play a role in neurological changes after stroke. Methods We performed a three-stage epigenome-wide association study (EWAS) to evaluate DNA methylation associated with the difference between the National Institutes of Health Stroke Scale (NIHSS) at baseline and at discharge (ΔNIHSS) in ischemic stroke patients. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platforms:

GPL13534 GPL29753

121 Samples

Download data: IDAT, TXT

(Submitter supplied) Objectives: Epigenetics can influence disease susceptibility and severity. While DNA methylation of individual genes has been explored in autoimmunity, no unbiased systematic analyses have been reported. Therefore, a genome-wide evaluation of DNA methylation loci in fibroblast-like synoviocytes (FLS) isolated from the site of disease in rheumatoid arthritis (RA) was performed. Methods: Genomic DNA was isolated from six RA and five osteoarthritis (OA) FLS lines and evaluated using the Illumina HumanMethylation450 chip. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL16304

11 Samples

Download data

(Submitter supplied) Epigenetics may play a central, but yet unexplored, role in the profound changes that the maternal immune system undergoes during pregnancy. We investigated changes in the methylome in isolated circulating CD4+ T cells in non-pregnant and pregnant women, during the 1st and 2nd trimester, using the Illumina Infinium Human Methylation 450K array, and explored how these changes were related to autoimmune diseases that are known to be affected during pregnancy. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

35 Samples

Download data: IDAT

(Submitter supplied) Genome wide DNA methylation from peripheral white blood cells (PWBCs) from individuals from different cohorts included in the MENA project. Samples included 474 individuals (DiOGenes-UNAV n=52, OBEPALIP n=29, Food4Me-UNAV n=39, GEDYMET n=57, ICTUS n=7, NUGENOB-UNAV n=22, PREDIMED-UNAV n=116, RESMENA n=44, OBEKIT n=96, and NormoP n=12). The Illumina Infinium 450k Human DNA methylation Beadchip or Infinium MethylationEPIC Beadchip (for OBEKIT) was used to obtain DNA methylation profiles across approximately 450,000 CpGs in these samples.

Organism:

Homo sapiens

Type:

Methylation profiling by array; Methylation profiling by genome tiling array

Platforms:

GPL16304 GPL21145

474 Samples

Download data: IDAT, TXT

(Submitter supplied) Tobacco smoking alters DNA methylation profiles of immune cells which may underpin some of the pathogenesis of smoking-associated diseases. However, approaches linking smoking-driven epigenetic effects in specific immune cell types with disease risk are limited. We isolated six leukocyte subtypes, CD14+ monocytes, CD15+ granulocytes, CD19+ B cells, CD4+ T cells, CD8+ T cells, and CD56+ natural killer cells, from whole blood of healthy adult smokers and nonsmokers for epigenome-wide association study (EWAS).

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platforms:

GPL29753 GPL13534

876 Samples

Download data: IDAT, TXT