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A meta-analysis of genome-wide data from five European isolates reveals an association of COL22A1, SYT1, and GABRR2 with serum creatinine level

Authors :
Pattaro, C. (Cristian)
Grandi, A. (Alessandro) de
Vitart, V. (Veronique)
Hayward, C. (Caroline)
Franke, A. (Andre)
Aulchenko, Y.S. (Yurii)
Johansson, A. (Åsa)
Wild, S.H. (Sarah)
Melville, S.A. (Scott)
Isaacs, A.J. (Aaron)
Polasek, O. (Ozren)
Ellinghaus, D. (David)
Kolcic, I. (Ivana)
Nöthlings, U. (Ute)
Zgaga, L. (Lina)
Zemunik, T. (Tatijana)
Gnewuch, C. (Carsten)
Schreiber, S. (Stefan)
Campbell, S. (Susan)
Hastie, N. (Nick)
Boban, M. (Mladen)
Meitinger, T. (Thomas)
Oostra, B.A. (Ben)
Riegler, P. (Peter)
Minelli, C. (Cosetta)
Wright, A.F. (Alan)
Campbell, H. (Harry)
Duijn, C.M. (Cornelia) van
Gyllensten, U. (Ulf)
Wilson, J.F. (James)
Krawczak, M. (Michael)
Rudan, I. (Igor)
Pramstaller, P.P. (Peter Paul)
Pattaro, C. (Cristian)
Grandi, A. (Alessandro) de
Vitart, V. (Veronique)
Hayward, C. (Caroline)
Franke, A. (Andre)
Aulchenko, Y.S. (Yurii)
Johansson, A. (Åsa)
Wild, S.H. (Sarah)
Melville, S.A. (Scott)
Isaacs, A.J. (Aaron)
Polasek, O. (Ozren)
Ellinghaus, D. (David)
Kolcic, I. (Ivana)
Nöthlings, U. (Ute)
Zgaga, L. (Lina)
Zemunik, T. (Tatijana)
Gnewuch, C. (Carsten)
Schreiber, S. (Stefan)
Campbell, S. (Susan)
Hastie, N. (Nick)
Boban, M. (Mladen)
Meitinger, T. (Thomas)
Oostra, B.A. (Ben)
Riegler, P. (Peter)
Minelli, C. (Cosetta)
Wright, A.F. (Alan)
Campbell, H. (Harry)
Duijn, C.M. (Cornelia) van
Gyllensten, U. (Ulf)
Wilson, J.F. (James)
Krawczak, M. (Michael)
Rudan, I. (Igor)
Pramstaller, P.P. (Peter Paul)
Publication Year :
2010

Abstract

Background: Serum creatinine (SCR) 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 SCR level is explicable by genetic factors.Methods: We performed a meta-analysis of genome-wide association studies of SCR 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 f

Details

Database :
OAIster
Notes :
application/pdf, B M C Medical Genetics vol. 11 no. 1, English
Publication Type :
Electronic Resource
Accession number :
edsoai.ocn929963460
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1186.1471-2350-11-41