Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Metabolic Syndrome in Men (METSIM) Study

ABSTRACT: Metabolic Syndrome in Men (METSIM) Study

PROVIDER: PRJNA246253 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Center for Common Disease Genomics [CCDG] - Cardiovascular: METSIM (METabolic Syndrome in Men) Study

Project description:Center for Common Disease Genomics [CCDG] - Cardiovascular: METSIM (METabolic Syndrome in Men) Study

| PRJNA451071 | ENA

Center for Common Disease Genomics [CCDG] - Cardiovascular: METSIM (METabolic Syndrome in Men) Study

Project description:Center for Common Disease Genomics [CCDG] - Cardiovascular: METSIM (METabolic Syndrome in Men) Study

| PRJNA451070 | ENA

Gene methylation profiles in visceral adipose tissue of obese men with and without the metabolic syndrome

Project description:Evaluate differences in gene methylation levels between obese men with and without the metabolic syndrome Visceral adipose tissue from obese men with the metabolic syndrome (MetS+, N=7) vs. obese men without the metabolic syndrome (MetS-, N=7)

2014-02-07 | E-GEOD-54776 | biostudies-arrayexpress

Homo sapiens

Project description:Metabolic Syndrome in Men (METSIM) Study

| PRJNA246254 | ENA

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

Muscle transcriptomic profiling of chronological aging and metabolic syndrome in men

Project description:Skeletal muscle aging is characterized by a progressive decline in muscle mass and function, which is referred to as sarcopenia. Aging is also a primary risk factor for metabolic syndrome (SX), which is a cluster of risk factors for cardiovascular diseases and type 2 diabetes. However, the molecular mechanisms implicated in sarcopenia and changes in muscle proteome associated with SX in elderly men remain unclear. In this dataset, we include the expression data obtained from vastus lateralis muscle biopsies of young and old men with or without metabolic syndrome. These data are used to identify 479 genes that are differentially expressed with aging, 328 being associated with aging alone and 117 with metabolic syndrome.

2021-05-05 | GSE136344 | GEO

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

Gene methylation profiles in visceral adipose tissue of obese men with and without the metabolic syndrome

Project description:Evaluate differences in gene methylation levels between obese men with and without the metabolic syndrome

2014-02-07 | GSE54776 | 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

Homo sapiens

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

| PRJNA316768 | ENA