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Pregled bibliografske jedinice broj: 451398

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


Pattaro, Cristian; De Grandi, Alessandro; Vitart, Veronique; Hayward, Caroline; Franke, Andre; Aulchenko, Yurii S; Johansson, Asa; Wild, Sarah H; Melville, Scott A; Isaacs, Aron et al.
A meta-analysis of genome-wide data from five European isolates reveals an association of COL22A1, SYT1, and GABRR2 with serum creatinine level // Bmc medical genetics, 11 (2010), 41-1 doi:10.1186/1471-2350-11-41 (međunarodna recenzija, članak, znanstveni)


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

Autori
Pattaro, Cristian ; De Grandi, Alessandro ; Vitart, Veronique ; Hayward, Caroline ; Franke, Andre ; Aulchenko, Yurii S ; Johansson, Asa ; Wild, Sarah H ; Melville, Scott A ; Isaacs, Aron ; Polašek, Ozren ; Ellinghaus, David ; Kolčić, Ivana ; Nothlings, Ute ; Zgaga, Lina ; Zemunik, Tatijana ; Gnewuch, Carsten ; Schreiber, Stefan ; Campbell, Susan ; Hastie, Nick ; Boban, Mladen ; Meitinger, Thomas ; Oostra, Ben A ; 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 ; Consortium Eurospan

Izvornik
Bmc medical genetics (1471-2350) 11 (2010); 41-1

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Serum creatinine; genome-wide association study; population isolates; meta-analysys

Sažetak
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. 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 for an association with SCR (candidate loci) were replicated in two additional population-based samples ('replication cohorts'). 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 = 1.0E-6 and 1.7E-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 = 3.6E-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. 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 GABA(A) receptors in the regulation of the glomerular basement membrane and a possible interaction between GABAA receptors and synaptotagmin-I at the podocyte level.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti, Kliničke medicinske znanosti, Javno zdravstvo i zdravstvena zaštita



POVEZANOST RADA


Projekt / tema
216-1080315-0293 - Genetska epidemiologija šećerne bolesti tip 1 u populaciji Hrvatske (Tatijana Zemunik, )
216-1080315-0302 - Odrednice zdravlja i bolesti u općoj i izoliranim ljudskim populacijama (Ozren Polašek, )
216-2160547-0537 - Kardiovaskularni učinci vina i njegovih sastojaka (Mladen Boban, )

Ustanove
Medicinski fakultet, Zagreb,
Medicinski fakultet, Split

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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