Now showing items 1-2 of 2

    • Automated workflow-based exploitation of pathway databases provides new insights into genetic associations of metabolite profiles 

      Dharuri H; Henneman P; Demirkan A; van Klinken JB; Mook-Kanamori DO; Wang-Sattler R; Gieger C; Adamski J; Hettne K; Roos M; Suhre K; van Duijn CM; EUROSPAN Consortia; van Dijk KW; 't Hoen PA (2013)
      BACKGROUND: Genome-wide association studies (GWAS) have identified many common single nucleotide polymorphisms (SNPs) that associate with clinical phenotypes, but these SNPs usually explain just a small part of the ...
    • Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations 

      Kolz M; Johnson T; Sanna S; Teumer A; Vitart V; Perola M; Mangino M; Albrecht E; Wallace C; Farrall M; Johansson A; Nyholt DR; Aulchenko Y; Beckmann JS; Bergmann S; Bochud M; Brown M; Campbell H; EUROSPAN Consortium; Connell J; Dominiczak A; Homuth G; Lamina C; McCarthy MI; ENGAGE Consortium; Meitinger T; Mooser V; Munroe P; Nauck M; Peden J; Prokisch H; Salo P; Salomaa V; Samani NJ; Schlessinger D; Uda M; Völker U; Waeber G; Waterworth D; Wang-Sattler R; Wright AF; Adamski J; Whitfield JB; Gyllensten U; Wilson JF; Rudan I; Pramstaller P; Watkins H; PROCARDIS Consortium; Doering A; Wichmann HE; KORA Study; Spector TD; Peltonen L; Völzke H; Nagaraja R; Vollenweider P; Caulfield M; WTCCC; Illig T; Gieger C (2009)
      Elevated serum uric acid levels cause gout and are a risk factor for cardiovascular disease and diabetes. To investigate the polygenetic basis of serum uric acid levels, we conducted a meta-analysis of genome-wide association ...