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01.12.2012 | Original investigation | Ausgabe 1/2012 Open Access

Cardiovascular Diabetology 1/2012

Single nucleotide polymorphisms (SNPs) involved in insulin resistance, weight regulation, lipid metabolism and inflammation in relation to metabolic syndrome: an epidemiological study

Zeitschrift:
Cardiovascular Diabetology > Ausgabe 1/2012
Autoren:
Cécile M Povel, Jolanda MA Boer, N Charlotte Onland-Moret, Martijn ET Dollé, Edith JM Feskens, Yvonne T van der Schouw
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1475-2840-11-133) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors’ contribution

CMP analyzed the data, contributed to the discussion and wrote the manuscript. JMAB contributed to the discussion and reviewed the manuscript. NCO contributed to the discussion and reviewed the manuscript. MET contributed to the discussion and reviewed the manuscript. EJMF researched the data, contributed to the discussion and reviewed the manuscript. YTS contributed to the discussion and reviewed the manuscript. All authors read and approved the final manuscript.

Abstract

Background

Mechanisms involved in metabolic syndrome (MetS) development include insulin resistance, weight regulation, inflammation and lipid metabolism. Aim of this study is to investigate the association of single nucleotide polymorphisms (SNPs) involved in these mechanisms with MetS.

Methods

In a random sample of the EPIC-NL study (n = 1886), 38 SNPs associated with waist circumference, insulin resistance, triglycerides, HDL cholesterol and inflammation in genome wide association studies (GWAS) were selected from the 50K IBC array and one additional SNP was measured with KASPar chemistry. The five groups of SNPs, each belonging to one of the metabolic endpoints mentioned above, were associated with MetS and MetS-score using Goeman’s global test. For groups of SNPs significantly associated with the presence of MetS or MetS-score, further analyses were conducted.

Results

The group of waist circumference SNPs was associated with waist circumference (P=0.03) and presence of MetS (P=0.03). Furthermore, the group of SNPs related to insulin resistance was associated with MetS score (P<0.01), HDL cholesterol (P<0.01), triglycerides (P<0.01) and HbA1C (P=0.04). Subsequent analyses showed that MC4R rs17782312, involved in weight regulation, and IRS1 rs2943634, related to insulin resistance were associated with MetS (OR 1.16, 95%CI 1.02-1.32 and OR 0.88, 95% CI 0.79; 0.97, respectively). The groups of inflammation and lipid SNPs were neither associated with presence of MetS nor with MetS score.

Conclusions

In this study we found support for the hypothesis that weight regulation and insulin metabolism are involved in MetS development. MC4R rs17782312 and IRS1 rs2943634 may explain part of the genetic variation in MetS.
Zusatzmaterial
Authors’ original file for figure 1
12933_2012_553_MOESM1_ESM.jpeg
Literatur
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