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J Lipid Res. 2017 Mar;58(3):481-493. doi: 10.1194/jlr.O072629. Epub 2017 Jan 24.

The Metabolic Syndrome in Men study: a resource for studies of metabolic and cardiovascular diseases.

Author information

1
Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland markku.laakso@uef.fi.
2
Department of Medicine, Kuopio University Hospital, Kuopio, Finland.
3
Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland.
4
Departments of Human Genetics David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA.
5
Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA.
6
Medicine, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA.
7
National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
8
Department of Genetics, University of North Carolina, Chapel Hill, NC.
9
Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI.

Abstract

The Metabolic Syndrome in Men (METSIM) study is a population-based study including 10,197 Finnish men examined in 2005-2010. The aim of the study is to investigate nongenetic and genetic factors associated with the risk of T2D and CVD, and with cardiovascular risk factors. The protocol includes a detailed phenotyping of the participants, an oral glucose tolerance test, fasting laboratory measurements including proton NMR measurements, mass spectometry metabolomics, adipose tissue biopsies from 1,400 participants, and a stool sample. In our ongoing follow-up study, we have, to date, reexamined 6,496 participants. Extensive genotyping and exome sequencing have been performed for essentially all METSIM participants, and >2,000 METSIM participants have been whole-genome sequenced. We have identified several nongenetic markers associated with the development of diabetes and cardiovascular events, and participated in several genetic association studies to identify gene variants associated with diabetes, hyperglycemia, and cardiovascular risk factors. The generation of a phenotype and genotype resource in the METSIM study allows us to proceed toward a "systems genetics" approach, which includes statistical methods to quantitate and integrate intermediate phenotypes, such as transcript, protein, or metabolite levels, to provide a global view of the molecular architecture of complex traits.

KEYWORDS:

METSIM; cardiovascular risk factors; coronary artery disease; metabolic disease; type 2 diabetes

PMID:
28119442
PMCID:
PMC5335588
DOI:
10.1194/jlr.O072629
[Indexed for MEDLINE]
Free PMC Article

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