Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2011Association studies of novel obesity-related gene variants with quantitative metabolic phenotypes in a population-based sample of 6,039 Danish individuals35citations

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Hansen, Torben
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Pedersen, Oluf
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Grarup, Niels
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Madsbad, S.
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Jørgensen, T.
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Gjesing, Anette P.
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Sandholt, C. H.
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2011

Co-Authors (by relevance)

  • Hansen, Torben
  • Pedersen, Oluf
  • Grarup, Niels
  • Madsbad, S.
  • Witte, D. R.
  • Jørgensen, T.
  • Gjesing, Anette P.
  • Sandholt, C. H.
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article

Association studies of novel obesity-related gene variants with quantitative metabolic phenotypes in a population-based sample of 6,039 Danish individuals

  • Hansen, Torben
  • Pedersen, Oluf
  • Grarup, Niels
  • Madsbad, S.
  • Witte, D. R.
  • Jørgensen, T.
  • Gjesing, Anette P.
  • Sandholt, C. H.
  • Burgdorf, K. S.
Abstract

AIMS/HYPOTHESIS:Genome-wide association studies have identified novel WHR and BMI susceptibility loci. The aim of this study was to elucidate if any of these loci had an effect on quantitative measures of glucose homeostasis, including estimates of insulin release and insulin sensitivity in an epidemiological setting.METHODS:By applying an additive genetic model, 14 WHR-associated gene variants and 18 BMI-associated variants were investigated for their relationships with glucose-related metabolic traits in treatment-naive individuals from the population-based Inter99 study sample (n¿=¿6,039).RESULTS:Of the variants associated with BMI, the QPCTL rs2287019 C allele was associated with an increased insulinogenic index of 7.4% per risk allele (p¿=¿4.0¿×¿10(-7)) and increased disposition index of 5.6% (p¿=¿6.4¿×¿10(-5)). The LRP1B rs2890652 C allele was associated with insulin resistance, showing a 3.3% increase (p¿=¿0.0011) using the HOMA-insulin resistance (HOMA-IR) index and a 2.2% reduction (p¿=¿0.0014) with the Matsuda index. Of the variants associated with WHR, LYPLAL1/SLC30A10 rs4846567 G allele carriers showed a 5.2% lower HOMA-IR (p¿=¿0.00086) in women, indicating improved insulin sensitivity. Female carriers of the VEGFA rs6905288 A allele were insulin resistant, with a 3.7% increase in HOMA-IR (p¿=¿0.00036) and 4.0% decrease in Matsuda index (p¿=¿2¿×¿10(-4)).CONCLUSIONS:Our correlative findings from analysing single-locus data suggest that some variation in validated BMI and WHR loci are associated with either increased or decreased insulin sensitivity and thereby potentially with metabolically healthy or metabolically unhealthy subsets of obesity. The results call for testing in larger study samples and for further physiological exploration of the possible metabolic implications of these loci.

Topics
  • susceptibility