A meta-analysis of genome-wide data from five European isolates reveals an association of COL22A1, SYT1, and GABRR2with serum creatinine level

Cristian Pattaro(Eurac Research), Alessandro De Grandi(Eurac Research), Véronique Vitart(Institute of Genetics and Cancer), Caroline Hayward(Institute of Genetics and Cancer), André Franke(Christian-Albrechts-Universität zu Kiel), Yurii S. Aulchenko(Erasmus MC), Åsa Johansson(Uppsala University), Sarah H. Wild(University of Edinburgh), Scott A. Melville(Eurac Research), Aaron Isaacs(Erasmus MC), Ozren Polašek(University of Zagreb), David Ellinghaus(Christian-Albrechts-Universität zu Kiel), Ivana Kolčić(University of Zagreb), Ute Nöthlings(Christian-Albrechts-Universität zu Kiel), Lina Zgaga(University of Zagreb), Tatijana Zemunik(University of Split), Carsten Gnewuch, Stefan Schreiber(Christian-Albrechts-Universität zu Kiel), Susan Campbell(Institute of Genetics and Cancer), Nick Hastie(Institute of Genetics and Cancer), Mladen Boban(University of Split), Thomas Meitinger(Technical University of Munich), Ben A. Oostra(Erasmus MC), Peter Riegler(Krankenhaus Meran), Cosetta Minelli(Eurac Research), Alan F. Wright(Institute of Genetics and Cancer), Harry Campbell(University of Edinburgh), Cornelia M. van Duijn(Erasmus MC), Ulf Gyllensten(Uppsala University), James F. Wilson(University of Edinburgh), Michael Krawczak(Christian-Albrechts-Universität zu Kiel), Igor Rudan(University of Split), Peter P. Pramstaller(University of Lübeck)
BMC Medical Genetics
March 11, 2010
Cited by 58Open Access
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Abstract

BACKGROUND: Serum creatinine (S CR) is the most important biomarker for a quick and non-invasive assessment of kidney function in population-based surveys. A substantial proportion of the inter-individual variability in S CR level is explicable by genetic factors. METHODS: We performed a meta-analysis of genome-wide association studies of S CR undertaken in five population isolates ('discovery cohorts'), all of which are part of the European Special Population Network (EUROSPAN) project. Genes showing the strongest evidence for an association with SCR (candidate loci) were replicated in two additional population-based samples ('replication cohorts'). RESULTS: After the discovery meta-analysis, 29 loci were selected for replication. Association between SCR level and polymorphisms in the collagen type XXII alpha 1 (COL22A1) gene, on chromosome 8, and in the synaptotagmin-1 (SYT1) gene, on chromosome 12, were successfully replicated in the replication cohorts (p value = 1.0 x 10(-6) and 1.7 x 10(-4), respectively). Evidence of association was also found for polymorphisms in a locus including the gamma-aminobutyric acid receptor rho-2 (GABRR2) gene and the ubiquitin-conjugating enzyme E2-J1 (UBE2J1) gene (replication p value = 3.6 x 10(-3)). Previously reported findings, associating glomerular filtration rate with SNPs in the uromodulin (UMOD) gene and in the schroom family member 3 (SCHROOM3) gene were also replicated. CONCLUSIONS: While confirming earlier results, our study provides new insights in the understanding of the genetic basis of serum creatinine regulatory processes. In particular, the association with the genes SYT1 and GABRR2 corroborate previous findings that highlighted a possible role of the neurotransmitters GABAA receptors in the regulation of the glomerular basement membrane and a possible interaction between GABAA receptors and synaptotagmin-I at the podocyte level.


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