Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Homo sapiens

ABSTRACT: Epigenome-wide association in the METSIM cohort identifies 22 novel loci for diabetes and metabolic syndrome traits

PROVIDER: PRJNA348122 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR4418800.fastq.gz	Fastqsanger.gz
	SRR4418810.fastq.gz	Fastqsanger.gz
	SRR4418820.fastq.gz	Fastqsanger.gz
	SRR4418830.fastq.gz	Fastqsanger.gz
	SRR4418840.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 205

Similar Datasets

Epigenome-wide association in the METSIM cohort identifies 22 novel loci for diabetes and metabolic syndrome traits

Project description:In this study, we examined the association of DNA methylation with metabolic traits in humans using adipose tissue samples from the Metabolic Syndrome in Men (METSIM) cohort. The METSIM cohort has been thoroughly characterized for longitudinal clinical data of metabolic traits including a 3-point oral glucose tolerance test, cardiovascular disorders, diabetes complications, drug and diet questionnaire, as well as high density genotyping, and genome-wide expression in adipose. We performed epigenome-wide association studies on clinical traits using reduced representation bisulfite sequencing data and identified 61 signifiant associations for metabolic syndrome traits, corresponding to 25 unique loci. These associations include previously known genes, FASN, RXRA, MSH2, and MSH6, as well as 22 loci harboring 18 new candidate genes for diabetes and obesity in humans.

2017-01-01 | GSE87893 | GEO

Single-nucleus RNA-sequencing of human subcutaneous adipose tissue biopsies from 84 Finnish participants.

Project description:We performed single-nucleus RNA-seq using 10X on 84 randomly sampled participants from the METabolic Syndrome In Men (METSIM) cohort. The purpose of the study was to characterize cell type composition changes associated with metabolic diseases such as obesity and type 2 diabetes.

2024-01-12 | GSE249089 | GEO

Metabolic Syndrome in Men (METSIM) Study

Project description:Metabolic Syndrome in Men (METSIM) Study

| PRJNA246253 | ENA

Homo sapiens

Project description:Metabolic Syndrome in Men (METSIM) Study

| PRJNA246254 | ENA

Epigenome-wide study of widespread hypomethylated loci associated with early-onset preeclampsia

Project description:For understanding the relationship of preeclampsia and placental methylation,we performed an epigenome-wide association study in a Chinese cohort containing 22 early-onset preeclampsia patients and 20 normal controls. We used Illumina Infinium HumanMethylation450k BeadChip for detecting the methylation level, and used placental genomic DNA as sample. most of the significant CpG sites were hypomethylated in EOPE in the Chinese cohort.

2019-06-30 | GSE125605 | GEO

Mus musculus

Project description:Epigenome-wide association of liver methylation patterns and complex metabolic traits in mice

| PRJNA280119 | ENA

Genome-Wide Analysis of DNA Methylation Differences in Muscle and Fat from Monozygotic Twins Discordant for Type 2 Diabetes

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. DNA methylation was measured by the Illumina HumanMethylation27 BeadChip in 22 (11 pairs) skeletal muscle and 10 (5 pairs) subcutaneous adipose tissue biopsies. No replicates were included.

2012-12-10 | E-GEOD-38291 | biostudies-arrayexpress

METSIM (METabolic Syndrome In Men) Study

Project description:The METSIM Study includes 10,197 men, aged from 45 to 73 years, randomly selected from the population register of the town of Kuopio, Eastern Finland, and examined in 2005-2010. The aim of the study is to investigate genetic and non-genetic factors associated with the risk of type 2 diabetes (T2D), cardiovascular disease (CVD), and insulin resistance-related traits in a cross-sectional and longitudinal setting. Study protocol includes collection of data on CVD risk factors (smoking, exercise, diet, history of chronic diseases including coronary heart disease, stroke, cardiac failure, medication, history of diabetes or early onset coronary heart disease in the family), questionnaire on the FINDRISC Score, measurement of height, weight, waist, hip, blood pressure, and bioimpedance for the evaluation of fat percentage. July 2016 - This first study release includes phenotype and whole exome sequencing data of n=982 participants in substudy: Type 2 Diabetes Genetic Exploration by Next-Generation Sequencing in Multi-Ethnic Samples (T2D-GENES) Project 1: Metabolic Syndrome in Men Study (METSIM) - <a href="study.cgi?study_id=phs001100">phs001100</a>.

| phs000743 | dbGaP

Homo sapiens

Project description:Metabolic Syndrome in Men (METSIM) - T2D-GENES Exome Sequencing Study

| PRJNA316768 | ENA

Epigenome-wide association of liver methylation patterns and complex metabolic traits in mice

Project description:Heritable epigenetic factors can contribute to complex disease etiology. In this study we examine, on a global scale, the contribution of DNA methylation to complex traits that are precursors to heart disease, diabetes and osteoporosis. We profiled DNA methylation patterns in the liver using bisulfite sequencing in 90 mouse inbred strains, genome-wide expression levels, proteomics, metabolomics and sixty-eight clinical traits, and performed epigenome-wide association studies (EWAS). We found associations with numerous clinical traits including bone mineral density, plasma cholesterol, insulin resistance, gene expression, protein and metabolite levels. A large proportion of associations were unique to EWAS and were not identified using GWAS. Methylation levels were regulated by genetics largely in cis, but we also found evidence of trans regulation, and we demonstrate that genetic variation in the methionine synthase reductase gene Mtrr affects methylation of hundreds of CpGs throughout the genome. Our results indicate that natural variation in methylation levels contributes to the etiology of complex clinical traits. Reduced representation bisulfite sequencing in mouse strains using liver genomic DNA

2015-04-02 | E-GEOD-67507 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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