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

<p>Abstract</p> <p>Background</p> <p>Serum creatinine (S<sub>CR</sub>) 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&l...

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Main Authors: Oostra Ben A, Meitinger Thomas, Boban Mladen, Hastie Nick, Campbell Susan, Schreiber Stefan, Gnewuch Carsten, Zemunik Tatijana, Zgaga Lina, Nöthlings Ute, Kolcic Ivana, Ellinghaus David, Polasek Ozren, Isaacs Aaron, Melville Scott A, Wild Sarah H, Johansson Asa, Aulchenko Yurii S, Franke Andre, Hayward Caroline, Vitart Veronique, De Grandi Alessandro, Pattaro Cristian, Riegler Peter, Minelli Cosetta, Wright Alan F, Campbell Harry, van Duijn Cornelia M, Gyllensten Ulf, Wilson James F, Krawczak Michael, Rudan Igor, Pramstaller Peter P
Format: Article
Language:English
Published: BMC 2010-03-01
Series:BMC Medical Genetics
Online Access:http://www.biomedcentral.com/1471-2350/11/41
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spelling doaj-91365f2c50194487a6aa70f0cd7672512021-04-02T10:04:35ZengBMCBMC Medical Genetics1471-23502010-03-011114110.1186/1471-2350-11-41A meta-analysis of genome-wide data from five European isolates reveals an association of <it>COL22A1</it>, <it>SYT1</it>, and <it>GABRR2 </it>with serum creatinine levelOostra Ben AMeitinger ThomasBoban MladenHastie NickCampbell SusanSchreiber StefanGnewuch CarstenZemunik TatijanaZgaga LinaNöthlings UteKolcic IvanaEllinghaus DavidPolasek OzrenIsaacs AaronMelville Scott AWild Sarah HJohansson AsaAulchenko Yurii SFranke AndreHayward CarolineVitart VeroniqueDe Grandi AlessandroPattaro CristianRiegler PeterMinelli CosettaWright Alan FCampbell Harryvan Duijn Cornelia MGyllensten UlfWilson James FKrawczak MichaelRudan IgorPramstaller Peter P<p>Abstract</p> <p>Background</p> <p>Serum creatinine (S<sub>CR</sub>) 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<sub>CR </sub>level is explicable by genetic factors.</p> <p>Methods</p> <p>We performed a meta-analysis of genome-wide association studies of S<sub>CR </sub>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 S<sub>CR </sub>(candidate loci) were replicated in two additional population-based samples ('replication cohorts').</p> <p>Results</p> <p>After the discovery meta-analysis, 29 loci were selected for replication. Association between S<sub>CR </sub>level and polymorphisms in the collagen type XXII alpha 1 (<it>COL22A1</it>) gene, on chromosome 8, and in the synaptotagmin-1 (<it>SYT1</it>) gene, on chromosome 12, were successfully replicated in the replication cohorts (p value = 1.0 × 10<sup>-6 </sup>and 1.7 × 10<sup>-4</sup>, respectively). Evidence of association was also found for polymorphisms in a locus including the gamma-aminobutyric acid receptor rho-2 (<it>GABRR2</it>) gene and the ubiquitin-conjugating enzyme E2-J1 (<it>UBE2J1</it>) gene (replication p value = 3.6 × 10<sup>-3</sup>). Previously reported findings, associating glomerular filtration rate with SNPs in the uromodulin (<it>UMOD</it>) gene and in the schroom family member 3 (<it>SCHROOM3</it>) gene were also replicated.</p> <p>Conclusions</p> <p>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 <it>SYT1 </it>and <it>GABRR2 </it>corroborate previous findings that highlighted a possible role of the neurotransmitters GABA<sub>A </sub>receptors in the regulation of the glomerular basement membrane and a possible interaction between GABA<sub>A</sub>receptors and synaptotagmin-I at the podocyte level.</p> http://www.biomedcentral.com/1471-2350/11/41
collection DOAJ
language English
format Article
sources DOAJ
author Oostra Ben A
Meitinger Thomas
Boban Mladen
Hastie Nick
Campbell Susan
Schreiber Stefan
Gnewuch Carsten
Zemunik Tatijana
Zgaga Lina
Nöthlings Ute
Kolcic Ivana
Ellinghaus David
Polasek Ozren
Isaacs Aaron
Melville Scott A
Wild Sarah H
Johansson Asa
Aulchenko Yurii S
Franke Andre
Hayward Caroline
Vitart Veronique
De Grandi Alessandro
Pattaro Cristian
Riegler Peter
Minelli Cosetta
Wright Alan F
Campbell Harry
van Duijn Cornelia M
Gyllensten Ulf
Wilson James F
Krawczak Michael
Rudan Igor
Pramstaller Peter P
spellingShingle Oostra Ben A
Meitinger Thomas
Boban Mladen
Hastie Nick
Campbell Susan
Schreiber Stefan
Gnewuch Carsten
Zemunik Tatijana
Zgaga Lina
Nöthlings Ute
Kolcic Ivana
Ellinghaus David
Polasek Ozren
Isaacs Aaron
Melville Scott A
Wild Sarah H
Johansson Asa
Aulchenko Yurii S
Franke Andre
Hayward Caroline
Vitart Veronique
De Grandi Alessandro
Pattaro Cristian
Riegler Peter
Minelli Cosetta
Wright Alan F
Campbell Harry
van Duijn Cornelia M
Gyllensten Ulf
Wilson James F
Krawczak Michael
Rudan Igor
Pramstaller Peter P
A meta-analysis of genome-wide data from five European isolates reveals an association of <it>COL22A1</it>, <it>SYT1</it>, and <it>GABRR2 </it>with serum creatinine level
BMC Medical Genetics
author_facet Oostra Ben A
Meitinger Thomas
Boban Mladen
Hastie Nick
Campbell Susan
Schreiber Stefan
Gnewuch Carsten
Zemunik Tatijana
Zgaga Lina
Nöthlings Ute
Kolcic Ivana
Ellinghaus David
Polasek Ozren
Isaacs Aaron
Melville Scott A
Wild Sarah H
Johansson Asa
Aulchenko Yurii S
Franke Andre
Hayward Caroline
Vitart Veronique
De Grandi Alessandro
Pattaro Cristian
Riegler Peter
Minelli Cosetta
Wright Alan F
Campbell Harry
van Duijn Cornelia M
Gyllensten Ulf
Wilson James F
Krawczak Michael
Rudan Igor
Pramstaller Peter P
author_sort Oostra Ben A
title A meta-analysis of genome-wide data from five European isolates reveals an association of <it>COL22A1</it>, <it>SYT1</it>, and <it>GABRR2 </it>with serum creatinine level
title_short A meta-analysis of genome-wide data from five European isolates reveals an association of <it>COL22A1</it>, <it>SYT1</it>, and <it>GABRR2 </it>with serum creatinine level
title_full A meta-analysis of genome-wide data from five European isolates reveals an association of <it>COL22A1</it>, <it>SYT1</it>, and <it>GABRR2 </it>with serum creatinine level
title_fullStr A meta-analysis of genome-wide data from five European isolates reveals an association of <it>COL22A1</it>, <it>SYT1</it>, and <it>GABRR2 </it>with serum creatinine level
title_full_unstemmed A meta-analysis of genome-wide data from five European isolates reveals an association of <it>COL22A1</it>, <it>SYT1</it>, and <it>GABRR2 </it>with serum creatinine level
title_sort meta-analysis of genome-wide data from five european isolates reveals an association of <it>col22a1</it>, <it>syt1</it>, and <it>gabrr2 </it>with serum creatinine level
publisher BMC
series BMC Medical Genetics
issn 1471-2350
publishDate 2010-03-01
description <p>Abstract</p> <p>Background</p> <p>Serum creatinine (S<sub>CR</sub>) 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<sub>CR </sub>level is explicable by genetic factors.</p> <p>Methods</p> <p>We performed a meta-analysis of genome-wide association studies of S<sub>CR </sub>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 S<sub>CR </sub>(candidate loci) were replicated in two additional population-based samples ('replication cohorts').</p> <p>Results</p> <p>After the discovery meta-analysis, 29 loci were selected for replication. Association between S<sub>CR </sub>level and polymorphisms in the collagen type XXII alpha 1 (<it>COL22A1</it>) gene, on chromosome 8, and in the synaptotagmin-1 (<it>SYT1</it>) gene, on chromosome 12, were successfully replicated in the replication cohorts (p value = 1.0 × 10<sup>-6 </sup>and 1.7 × 10<sup>-4</sup>, respectively). Evidence of association was also found for polymorphisms in a locus including the gamma-aminobutyric acid receptor rho-2 (<it>GABRR2</it>) gene and the ubiquitin-conjugating enzyme E2-J1 (<it>UBE2J1</it>) gene (replication p value = 3.6 × 10<sup>-3</sup>). Previously reported findings, associating glomerular filtration rate with SNPs in the uromodulin (<it>UMOD</it>) gene and in the schroom family member 3 (<it>SCHROOM3</it>) gene were also replicated.</p> <p>Conclusions</p> <p>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 <it>SYT1 </it>and <it>GABRR2 </it>corroborate previous findings that highlighted a possible role of the neurotransmitters GABA<sub>A </sub>receptors in the regulation of the glomerular basement membrane and a possible interaction between GABA<sub>A</sub>receptors and synaptotagmin-I at the podocyte level.</p>
url http://www.biomedcentral.com/1471-2350/11/41
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