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METSIM (METabolic Syndrome In Men) Study

ABSTRACT:

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) - phs001100.

PROVIDER: phs000743 | dbGaP |

SECONDARY ACCESSION(S): PRJNA246254PRJNA246253

REPOSITORIES: dbGaP

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	GapExchange_phs000743.v1.p1.xml	Xml
	dbGaPEx2.1.5.xsd	Other
	Study_Report.phs000743.METSIM_Cohort.v1.p1.MULTI.pdf	Pdf
	manifest_phs000743.METSIM_Cohort.v1.p1.c1.DS-T2D-IRB-RD.pdf	Pdf
	datadict_v2.xsl	Other

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Project description:Objective: Insulin regulates amino acid metabolism. We investigated whether glycemia and 43 genetic risk variants for hyperglycemia/type 2 diabetes affect amino acid levels in a large population-based cohort. Subjects and Methods: A total of 9,371 non-diabetic or newly-diagnosed type 2 diabetic Finnish men from the population-based METSIM Study were studied. Proton NMR spectroscopy was used to measure plasma levels of 8 amino acids. Genotyping of 42 SNPs and mRNA microarray analysis from 200 subcutaneous adipose tissue samples were performed. Results: Increasing fasting and/or 2-hour plasma glucose levels were associated with increasing levels of alanine, valine, leucine, isoleucine, phenylalanine and tyrosine, and decreasing levels of histidine and glutamine. We also found significant correlations between insulin sensitivity (Matsuda ISI) and expression of genes regulating amino acid metabolism. Only one SNP (rs780094 in GCKR) of the 42 risk SNPs for type 2 diabetes or hyperglycemia was significantly associated with the levels of alanine, isoleucine, and glutamine. Conclusions : We observed that the levels of branched-chain, aromatic amino acids and alanine increased and the levels of glutamine and histidine decreased with increasing glycemia. These associations seemed to be mediated by insulin resistance, at least in part. GCKR rs780094 was significantly associated with several amino acids. Total RNA was obtained from subcutaneous fat biopsies from 200 people participating in the METSIM study (4 samples were replicated for a total of 204 arrays).

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