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Showing 1–9 of 9 results
Advanced filters: Author: Martin L Buchkovich Clear advanced filters

  • Timothy Frayling, Joel Hirschhorn, Peter Visscher and colleagues report a meta-analysis of genome-wide association studies for adult height in 253,288 individuals. They identify 697 variants in 423 loci significantly associated with adult height and find that these variants cluster in pathways involved in growth and together explain one-fifth of the heritability for this trait.

    • Andrew R Wood
    • Tonu Esko
    • Timothy M Frayling
    Research
    Nature Genetics
    Volume: 46, P: 1173-1186

  • A genome-wide association study and Metabochip meta-analysis of body mass index (BMI) detects 97 BMI-associated loci, of which 56 were novel, and many loci have effects on other metabolic phenotypes; pathway analyses implicate the central nervous system in obesity susceptibility and new pathways such as those related to synaptic function, energy metabolism, lipid biology and adipogenesis.

    • Adam E. Locke
    • Bratati Kahali
    • Elizabeth K. Speliotes
    Research
    Nature
    Volume: 518, P: 197-206

  • Genome-wide association meta-analyses of waist-to-hip ratio adjusted for body mass index in more than 224,000 individuals identify 49 loci, 33 of which are new and many showing significant sexual dimorphism with a stronger effect in women; pathway analyses implicate adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution.

    • Dmitry Shungin
    • Thomas W. Winkler
    • Karen L Mohlke
    Research
    Nature
    Volume: 518, P: 187-196

  • Cristen Willer and colleagues report genome-wide association analyses for blood lipid levels in 188,578 individuals. They identify 62 loci newly associated with blood lipid levels, refine the association signals at 12 loci and examine associations with cardiovascular and metabolic traits.

    • Cristen J Willer
    • Ellen M Schmidt
    • Gonçalo R Abecasis
    Research
    Nature Genetics
    Volume: 45, P: 1274-1283

  • Karen Mohlke, Markku Laakso, Michael Boehnke and colleagues report the first application of the Illumina HumanExome Beadchip array, examining association with insulin and glycemic traits in 8,229 nondiabetic Finnish males from the population-based Metabolic Syndrome in Men (METSIM) study. They identify low-frequency coding variants at both known and newly associated loci with insulin processing and secretion.

    • Jeroen R Huyghe
    • Anne U Jackson
    • Karen L Mohlke
    Research
    Nature Genetics
    Volume: 45, P: 197-201