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Träfflista för sökning "WFRF:(Smit George) "

Sökning: WFRF:(Smit George)

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  • Heid, Iris M, et al. (author)
  • Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution
  • 2010
  • In: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 42:11, s. 949-960
  • Journal article (peer-reviewed)abstract
    • Waist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studies for WHR adjusted for body mass index (comprising up to 77,167 participants), following up 16 loci in an additional 29 studies (comprising up to 113,636 subjects). We identified 13 new loci in or near RSPO3, VEGFA, TBX15-WARS2, NFE2L3, GRB14, DNM3-PIGC, ITPR2-SSPN, LY86, HOXC13, ADAMTS9, ZNRF3-KREMEN1, NISCH-STAB1 and CPEB4 (P = 1.9 × 10⁻⁹ to P = 1.8 × 10⁻⁴⁰) and the known signal at LYPLAL1. Seven of these loci exhibited marked sexual dimorphism, all with a stronger effect on WHR in women than men (P for sex difference = 1.9 × 10⁻³ to P = 1.2 × 10⁻¹³). These findings provide evidence for multiple loci that modulate body fat distribution independent of overall adiposity and reveal strong gene-by-sex interactions.
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  • Scott, Robert A., et al. (author)
  • Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways
  • 2012
  • In: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 44:9, s. 991-1005
  • Journal article (peer-reviewed)abstract
    • Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.
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  • van der Harst, Pim, et al. (author)
  • Seventy-five genetic loci influencing the human red blood cell
  • 2012
  • In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 492:7429, s. 369-375
  • Journal article (peer-reviewed)abstract
    • Anaemia is a chief determinant of global ill health, contributing to cognitive impairment, growth retardation and impaired physical capacity. To understand further the genetic factors influencing red blood cells, we carried out a genome-wide association study of haemoglobin concentration and related parameters in up to 135,367 individuals. Here we identify 75 independent genetic loci associated with one or more red blood cell phenotypes at P < 10(-8), which together explain 4-9% of the phenotypic variance per trait. Using expression quantitative trait loci and bioinformatic strategies, we identify 121 candidate genes enriched in functions relevant to red blood cell biology. The candidate genes are expressed preferentially in red blood cell precursors, and 43 have haematopoietic phenotypes in Mus musculus or Drosophila melanogaster. Through open-chromatin and coding-variant analyses we identify potential causal genetic variants at 41 loci. Our findings provide extensive new insights into genetic mechanisms and biological pathways controlling red blood cell formation and function.
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  • Aad, G., et al. (author)
  • 2011
  • swepub:Mat__t (peer-reviewed)
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  • Aad, G., et al. (author)
  • 2011
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  • Aad, G., et al. (author)
  • 2012
  • swepub:Mat__t (peer-reviewed)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
  • 2012
  • swepub:Mat__t (peer-reviewed)
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  • Aad, G., et al. (author)
  • 2012
  • In: The European Physical Journal C. - : Springer Science and Business Media LLC. - 1434-6052. ; 72:7
  • Journal article (peer-reviewed)
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  • Aad, G., et al. (author)
  • 2012
  • swepub:Mat__t (peer-reviewed)
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  • Aad, G., et al. (author)
  • 2013
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
  • 2012
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  • Aad, G., et al. (author)
  • 2013
  • In: The European Physical Journal C. - : Springer Science and Business Media LLC. - 1434-6052. ; 73:1
  • Journal article (peer-reviewed)
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  • Aad, G., et al. (author)
  • 2012
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
  • 2013
  • In: New Journal of Physics. - : IOP Publishing. - 1367-2630. ; 15
  • Journal article (peer-reviewed)
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  • Aad, G., et al. (author)
  • 2012
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  • Aad, G., et al. (author)
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  • Aad, G., et al. (author)
  • 2012
  • swepub:Mat__t (peer-reviewed)
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  • Result 1-50 of 212

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