Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

18 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

EPIC-Italy at HuGeF

ABSTRACT: This Series contains data from 845 participants (188 men and 657 women) in the EPIC-Italy cohort that was produced at the Human Genetics Foundation (HuGeF) in Turin, Italy. At the last follow-up (2010), 424 participants remained cancer-free, 235 had developed primary breast cancer, 166 had developed primary colorectal cancer, and 20 had developed other primary cancers. Anthropometric measurements, and dietary and lifestyle information obtained by questionnaire are also available. A total of 845 samples from the EPIC-Italy cohort were analyzed.

ORGANISM(S): Homo sapiens

SUBMITTER: Gianluca Campanella

PROVIDER: E-GEOD-51032 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

EPIC-Italy at HuGeF

Project description:This Series contains data from 845 participants (188 men and 657 women) in the EPIC-Italy cohort that was produced at the Human Genetics Foundation (HuGeF) in Turin, Italy. At the last follow-up (2010), 424 participants remained cancer-free, 235 had developed primary breast cancer, 166 had developed primary colorectal cancer, and 20 had developed other primary cancers. Anthropometric measurements, and dietary and lifestyle information obtained by questionnaire are also available.

2013-09-20 | GSE51032 | GEO

Methylome Analysis and Epigenetic Changes Associated with Menarcheal Age

Project description:Epigenome-wide association study of age at menarche in a group of 329 women from the EPIC-Italy cohort. A total of 329 samples from the EPIC-Italy cohort were analyzed. No replicates are available.

2013-09-21 | E-GEOD-51057 | biostudies-arrayexpress

Exercise Training Effects on Human Skeletal Muscle DNA Methylation

Project description:This study aimed to determine skeletal muscle DNA methylation changes in a cohort of volunteers with a range of insulin sensitivities following 8-weeks of supervised exercise training. We studied 13 sedentary participants (5M/8F, 34.6 ± 3.1 years) and performed euglycemic hyperinsulinemic clamps with vastus lateralis muscle biopsies and peak aerobic activity (VO2 peak) tests before and after training. We extracted DNA from the muscle biopsies and performed global methylation using Illumina's Methylation EPIC 850K BeadChip.

2022-03-01 | E-MTAB-11282 | biostudies-arrayexpress

Methylation profiling (450K and EPIC array) for sarcoma classification

Project description:Infinium® HumanMethylation450 BeadChip and EPIC arrays were run with the aim of using the methylation profiles (n=986 in total) for sarcoma subtype classification (Paper: Lyskjær et al, 2021, DNA methylation-based profiling of bone and soft tissue tumours: a validation study of the ‘DKFZ sarcoma Classifier’ ). 500ng of DNA from fresh frozen (FT) or formalin-fixed paraffin-embedded (FFPE) tumour samples were bisulfite converted using the Zymo EZ DNA methylation Gold kit (Zymo Research Corp. Irvine, USA) before hybridisation to the Infinium HumanMethylation450 or EPIC beadchip arrays (Illumina, San Diego, CA) by UCL Genomics. All bisulfite-converted FFPE samples were restored with the Infinium FFPE DNA Restore kit (Illumina).

2021-05-01 | E-MTAB-9875 | biostudies-arrayexpress

Human Illumina 850K EPIC methylation arrays of blood, subcutaneous and omental visceral adipose tissue from two-step surgical approach

Project description:Genome wide DNA methylation in blood, subcutaneous and omental visceral adipose tissue from two-step surgical approach (N=9) was analysed in patients with severe obesity using Illumina 850K EPIC technology before and after metabolic surgery (Leipzig Obesity BioBank (LOBB) cohort). Additionally, a validation blood cohort of patients with obesity undergoing metabolic surgery was analyzed for results validation.

2024-03-31 | E-MTAB-13564 | biostudies-arrayexpress

DNA methylation profiling of healthy elderly individuals with different lifestyle habits

Project description:Illumina Infinium EPIC HumanMethylation BeadChip data from saliva DNA samples from a healthy elderly cohort with individuals in the age range 70-95 in Southwest Sweden. The cohort was stratified into study groups based on participants´answers to a questionnaire of different lifestyle factors including vitamin supplementations, smoking and drinking habits, physical activity (per year), sun exposure and eating habits. Vitamin D intake was evaluated from the vitamin D supplementation (alone or in a multivitamin complex), dietary vitamin D intake (fish and seafood frequency) and vitamin D synthesis in the skin (sunlight exposure and use of sunscreen). Differential methylation analysis was performed for all the study groups and the combination of different factors with vitamin D supplementation. Gender, age, smoking and alcohol (SD and frequency) were used as covariates in the analyses. Only the study groups referred to the conclusions of the study are shown.

2022-07-23 | E-MTAB-11445 | biostudies-arrayexpress

Methylome Analysis and Epigenetic Changes Associated with Menarcheal Age

Project description:Epigenome-wide association study of age at menarche in a group of 329 women from the EPIC-Italy cohort.

2013-09-21 | GSE51057 | GEO

EPIC-HPS

Project description:EPIC-HPS

| PRJNA684138 | ENA

Illumina Infinium HumanMethylation EPIC beadchip profiling of 31 pediatric histologically defined anaplastic pilocytic astrocytoma

Project description:We used the Illumina Infinium HumanMethylation EPIC beadchip array to profile 31 pediatric tumors with the histological diagnosis of anaplastic pilocytic astrocyoma (PA). PA with anaplasia has been defined in the 2016 WHO classification as a tumor with PA morphology and >4 mitoses per 10 HPF, with or without necrosis with a potential worse outcome. DNA Methylation based studies performed mainly in adults have put forward this subtype as a distinct entity. After performing the same techniques on pediatric samples, our findings argue that the diagnostic histomolecular criteria established for anaplasia in adult PA are not of diagnostic or prognostic value in a pediatric setting.

2019-11-08 | E-MTAB-8390 | biostudies-arrayexpress

Illumina Infinium HumanMethylationEPIC DNA methylation microarray of human donor whole-blood from patients with and without Age-related Macular Degeneration

Project description:DNA methylation microarray analysis was performed on human donor whole blood samples from patients with and without AMD. A total of 30 patient samples including 16 Normal, 3 AREDS grade 2 (early AMD) and 11 AREDS grade 3 (intermediate AMD) (AMD total, n = 14) were selected. Samples were obtained from individuals phenotyped according to the Age-Related Eye Disease Study (AREDS) classification. DNAm levels were measured using the EPIC-array (Illumina Inc., San Diego, CA, USA). Samples run on the EPIC-array were randomized and balanced for disease status and smoking status to minimise chip and row specific effects. The EPIC-array incorporated technical controls into the experimental design. In total, 500 ng (50 ng/μL) total peripheral whole blood-derived gDNA was bisulfite converted using the EZ-96 DNA methylation kit (Zymo Research, Irvine, CA, USA) and hybridised to the EPIC-array according to the manufacturer’s instructions. Quality control analysis was performed using GenomeStudio (v2011.1). Raw IDAT files were then read into R (version 3.31) using the read.metharray.exp function within the minfi package. DNA methylation microarray data was collected in order to assess the estimated DNA methylation age using the Horvath multi-tissue, Hannum and Skin & Blood epigenetic clocks and to identify loci of differential methylation between the experimental groups.

2021-12-31 | E-MTAB-11279 | 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