Novel Obesity Risk Loci Do Not Determine Distribution of Body Fat Depots: A Whole‐body MRI/MRS study
doi: 10.1038/oby.2009.413
pmid: 19910938
Novel Obesity Risk Loci Do Not Determine Distribution of Body Fat Depots: A Whole‐body MRI/MRS study
A recent meta‐analysis of genome‐wide association studies has identified six new risk‐loci for common obesity. We studied whether these risk loci influence the distribution of body fat depots. We genotyped 1,469 nondiabetic subjects for the single‐nucleotide polymorphisms (SNPs) TMEM18 rs6548238, KCTD15 rs11084753, GNPDA2 rs10938397, SH2B1 rs7498665, MTCH2 rs10838738, and NEGR1 rs2815752. We assessed BMI, waist circumference, total body fat, and lean body mass (bioimpedance). All subjects underwent an oral glucose tolerance test (OGTT) for estimation of insulin sensitivity. In 332 subjects, we measured total adipose tissue (TAT), visceral adipose tissue (VAT), nonvisceral adipose tissue (NVAT), liver fat content, and intramyocellular lipids (IMCLs) using whole‐body magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS). In the dominant inheritance model, the risk alleles of TMEM18 rs6548238 and MTCH2 rs10838738 were nominally associated with higher BMI (P = 0.04, both). The risk allele of TMEM18 rs6548238 was additionally associated with higher waist circumference and total body fat (P ≤ 0.03), the risk allele of NEGR1 rs2815752 with higher waist circumference (P = 0.05) and unexpectedly with lower BMI (P = 0.01). In the MR cohort, we found an association of the risk allele of SH2B1 rs7498665 with higher VAT (P = 0.009) and of GNPDA2 rs10938397 with increased IMCLs (P = 0.03). After Bonferroni correction for multiple comparisons (corrected α‐level: P = 0.0085), none of the SNPs was significantly associated with measures of adiposity or body fat distribution (all P > 0.009, dominant inheritance model). Therefore, our results suggest that these new obesity SNPs, despite their influence on BMI, are neither associated with a metabolically unfavorable nor with a favorable body composition.
- University of Tübingen Germany
Adult, Male, Magnetic Resonance Spectroscopy, Cell Adhesion Molecules, Neuronal, Membrane Proteins, Membrane Transport Proteins, GPI-Linked Proteins, Magnetic Resonance Imaging, Mitochondrial Membrane Transport Proteins, Body Mass Index, Cohort Studies, Mitochondrial Proteins, Genetic Loci, Body Fat Distribution, Humans, Female, Genetic Predisposition to Disease, Obesity, Insulin Resistance, Adaptor Proteins, Signal Transducing
Adult, Male, Magnetic Resonance Spectroscopy, Cell Adhesion Molecules, Neuronal, Membrane Proteins, Membrane Transport Proteins, GPI-Linked Proteins, Magnetic Resonance Imaging, Mitochondrial Membrane Transport Proteins, Body Mass Index, Cohort Studies, Mitochondrial Proteins, Genetic Loci, Body Fat Distribution, Humans, Female, Genetic Predisposition to Disease, Obesity, Insulin Resistance, Adaptor Proteins, Signal Transducing
23 Research products, page 1 of 3
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2011IsAmongTopNSimilarDocuments
- 2017IsRelatedTo
- 2017IsRelatedTo
- 2017IsRelatedTo
chevron_left - 1
- 2
- 3
chevron_right
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).31 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
