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Diabetologia. 2017 Sep;60(9):1722-1730. doi: 10.1007/s00125-017-4313-4. Epub 2017 Jun 1.

Genetic risk scores in the prediction of plasma glucose, impaired insulin secretion, insulin resistance and incident type 2 diabetes in the METSIM study.

Author information

1
Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Yliopistonranta 1 B, 70210, Kuopio, Finland.
2
Department of Medicine, Kuopio University Hospital, Kuopio, Finland.
3
Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.
4
National Human Genome Research Institute, National Institutes for Health (NIH), Bethesda, MD, USA.
5
Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA.
6
Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Yliopistonranta 1 B, 70210, Kuopio, Finland. markku.laakso@uef.fi.
7
Department of Medicine, Kuopio University Hospital, Kuopio, Finland. markku.laakso@uef.fi.

Abstract

AIMS/HYPOTHESIS:

Many SNPs have been associated with glycaemic traits and type 2 diabetes, but their joint effects on glycaemic traits and the underlying mechanisms leading to hyperglycaemia over time are largely unknown. We aimed to investigate the association of six genetic risk scores (GRSs) with changes in plasma glucose, insulin sensitivity, insulin secretion and incident type 2 diabetes in the prospective METabolic Syndrome In Men (METSIM) study.

METHODS:

We generated weighted GRSs for fasting plasma glucose ([FPG] GRSFPG, 35 SNPs), 2 h plasma glucose ([2hPG] GRS2hPG, 9 SNPs), insulin secretion (GRSIS, 17 SNPs), insulin resistance (GRSIR, 9 SNPs) and BMI (GRSBMI, 95 SNPs) and a non-weighted GRS for type 2 diabetes (GRST2D, 76 SNPs) in up to 8749 non-diabetic Finnish men. Linear regression was used to test associations of the GRSs with changes in glycaemic traits over time.

RESULTS:

GRST2D, GRSFPG and GRSIS were associated with an increase in FPG, GRST2D with an increase in glucose AUC and a decrease in insulin secretion, and GRS2hPG with an increase in 2hPG during the follow-up (p < 0.0017 for all models). GRST2D, GRSFPG and GRSIS were associated with incident type 2 diabetes (p < 0.008 for all models). GRSBMI and GRSIR were not significantly associated with any changes in glycaemic traits.

CONCLUSIONS/INTERPRETATION:

In the METSIM follow-up study, GRST2D, GRSFPG and GRSIS were associated with the worsening of FPG and an increase in incident type 2 diabetes. GRST2D was additionally associated with a decrease in insulin secretion, and GRS2hPG with an increase in 2hPG.

KEYWORDS:

Genetic risk score; Genetic variant; Insulin resistance; Insulin secretion; Type 2 diabetes

PMID:
28573393
DOI:
10.1007/s00125-017-4313-4
[Indexed for MEDLINE]

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