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Pregled bibliografske jedinice broj: 990349

Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Pattaro, Cristian; ICBP Consortium; Teumer, Alexander; Gorski, Mathias; Chu, Audrey Y.; Kolcic, Ivana; Rudan, Igor; Boban, Mladen; Polasek, Ozren; Zemunik, Tatijana et al.
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function // Nature Communications, 7 (2016), 10023, 19 doi:10.1038/ncomms10023 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 990349 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Autori
Pattaro, Cristian ; ICBP Consortium ; Teumer, Alexander ; Gorski, Mathias ; Chu, Audrey Y. ; Kolcic, Ivana ; Rudan, Igor ; Boban, Mladen ; Polasek, Ozren ; Zemunik, Tatijana ; Lehtimäki, Terho ; Illig, Thomas ; Aspelund, Thor ; Nikopensius, Tiit ; Esko, Tonu ; Tanaka, Toshiko ; Gyllensten, Ulf ; Völker, Uwe ; Emilsson, Valur ; Vitart, Veronique ; Aalto, Ville ; Gudnason, Vilmundur ; Köttgen, Anna ; Kao, W. H. Linda ; Fox, Caroline S. ; AGEN Consortium ; CARDIOGRAM ; CHARGe-Heart Failure Group ; ECHOGen Consortium et al.

Izvornik
Nature Communications (2041-1723) 7 (2016); 10023, 19

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

Ključne riječi
GENOME-WIDE ASSOCIATION ; FALSE DISCOVERY RATES ; STAGE RENAL-DISEASE ; SERUM CREATININE ; METAANALYSIS ; VARIANTS ; INDIVIDUALS ; POPULATION ; RISK ; HYPERTENSION

Sažetak
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133, 413 individuals with replication in up to 42, 166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra- renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti



POVEZANOST RADA

Ustanove:
Medicinski fakultet, Split

Profili:

Avatar Url Mladen Boban (autor)

Avatar Url Tatijana Zemunik (autor)

Avatar Url Ozren Polašek (autor)

Avatar Url Igor Rudan (autor)

Avatar Url Ivana Kolčić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Pattaro, Cristian; ICBP Consortium; Teumer, Alexander; Gorski, Mathias; Chu, Audrey Y.; Kolcic, Ivana; Rudan, Igor; Boban, Mladen; Polasek, Ozren; Zemunik, Tatijana et al.
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function // Nature Communications, 7 (2016), 10023, 19 doi:10.1038/ncomms10023 (međunarodna recenzija, članak, znanstveni)
Pattaro, C., ICBP Consortium, Teumer, A., Gorski, M., Chu, A., Kolcic, I., Rudan, I., Boban, M., Polasek, O. & Zemunik, T. (2016) Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nature Communications, 7, 10023, 19 doi:10.1038/ncomms10023.
@article{article, author = {Pattaro, Cristian and Teumer, Alexander and Gorski, Mathias and Chu, Audrey Y. and Kolcic, Ivana and Rudan, Igor and Boban, Mladen and Polasek, Ozren and Zemunik, Tatijana and Lehtim\"{a}ki, Terho and Illig, Thomas and Aspelund, Thor and Nikopensius, Tiit and Esko, Tonu and Tanaka, Toshiko and Gyllensten, Ulf and V\"{o}lker, Uwe and Emilsson, Valur and Vitart, Veronique and Aalto, Ville and Gudnason, Vilmundur and K\"{o}ttgen, Anna and Kao, W. H. Linda and Fox, Caroline S.}, year = {2016}, pages = {19}, DOI = {10.1038/ncomms10023}, chapter = {10023}, keywords = {GENOME-WIDE ASSOCIATION, FALSE DISCOVERY RATES, STAGE RENAL-DISEASE, SERUM CREATININE, METAANALYSIS, VARIANTS, INDIVIDUALS, POPULATION, RISK, HYPERTENSION}, journal = {Nature Communications}, doi = {10.1038/ncomms10023}, volume = {7}, issn = {2041-1723}, title = {Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function}, keyword = {GENOME-WIDE ASSOCIATION, FALSE DISCOVERY RATES, STAGE RENAL-DISEASE, SERUM CREATININE, METAANALYSIS, VARIANTS, INDIVIDUALS, POPULATION, RISK, HYPERTENSION}, chapternumber = {10023} }
@article{article, author = {Pattaro, Cristian and Teumer, Alexander and Gorski, Mathias and Chu, Audrey Y. and Kolcic, Ivana and Rudan, Igor and Boban, Mladen and Polasek, Ozren and Zemunik, Tatijana and Lehtim\"{a}ki, Terho and Illig, Thomas and Aspelund, Thor and Nikopensius, Tiit and Esko, Tonu and Tanaka, Toshiko and Gyllensten, Ulf and V\"{o}lker, Uwe and Emilsson, Valur and Vitart, Veronique and Aalto, Ville and Gudnason, Vilmundur and K\"{o}ttgen, Anna and Kao, W. H. Linda and Fox, Caroline S.}, year = {2016}, pages = {19}, DOI = {10.1038/ncomms10023}, chapter = {10023}, keywords = {GENOME-WIDE ASSOCIATION, FALSE DISCOVERY RATES, STAGE RENAL-DISEASE, SERUM CREATININE, METAANALYSIS, VARIANTS, INDIVIDUALS, POPULATION, RISK, HYPERTENSION}, journal = {Nature Communications}, doi = {10.1038/ncomms10023}, volume = {7}, issn = {2041-1723}, title = {Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function}, keyword = {GENOME-WIDE ASSOCIATION, FALSE DISCOVERY RATES, STAGE RENAL-DISEASE, SERUM CREATININE, METAANALYSIS, VARIANTS, INDIVIDUALS, POPULATION, RISK, HYPERTENSION}, chapternumber = {10023} }

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
  • Nature Index

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