1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function

HapMap imputed genome-wide association studies (GWAS) have revealed >50 loci at which common variants with minor allele frequency >5% are associated with kidney function. GWAS using more complete reference sets for imputation, such as those from The 1000 Genomes project, promise to identify no...

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Veröffentlicht in:	Scientific reports 2017-04, Vol.7 (1), p.45040-45040, Article 45040
Hauptverfasser:	Gorski, Mathias, Chu, Audrey Y., Li, Man, Nolte, Ilja M., Cocca, Massimiliano, Taliun, Daniel, Gomez, Felicia, Li, Yong, Tayo, Bamidele, Tin, Adrienne, Attia, John, Biffar, Reiner, Bochud, Murielle, Borecki, Ingrid, Bottinger, Erwin P., Chen, Ming-Huei, Ciullo, Marina, Coresh, Josef, Cornelis, Marilyn C., Curhan, Gary C., d’Adamo, Adamo Pio, Dehghan, Abbas, Dengler, Laura, Ding, Jingzhong, Eiriksdottir, Gudny, Enroth, Stefan, Esko, Tõnu, Franco, Oscar H., Gasparini, Paolo, Gieger, Christian, Girotto, Giorgia, Gudnason, Vilmundur, Gyllensten, Ulf, Harris, Tamara B., Helmer, Catherine, Höllerer, Simon, Hofer, Edith, Hofman, Albert, Holliday, Elizabeth G., Homuth, Georg, Huth, Cornelia, Hutri-Kähönen, Nina, Hwang, Shih-Jen, Imboden, Medea, Johansson, Åsa, Kähönen, Mika, König, Wolfgang, Kramer, Holly, Krämer, Bernhard K., Kumar, Ashish, Kutalik, Zoltan, Lambert, Jean-Charles, Launer, Lenore J., Lehtimäki, Terho, Navis, Gerjan, Swertz, Morris, Loos, Ruth J. F., Lu, Yingchang, Lyytikäinen, Leo-Pekka, McEvoy, Mark A., Meisinger, Christa, Meitinger, Thomas, Metspalu, Andres, Metzger, Marie, Mihailov, Evelin, Mitchell, Paul, Nauck, Matthias, Olden, Matthias, Pistis, Giorgio, Probst-Hensch, Nicole, Raitakari, Olli T., Ridker, Paul M., Rivadeneira, Fernando, Robino, Antonietta, Rosas, Sylvia E., Ruderfer, Douglas, Ruggiero, Daniela, Sala, Cinzia, Schmidt, Helena, Schmidt, Reinhold, Scott, Rodney J., Sedaghat, Sanaz, Smith, Albert V., Sorice, Rossella, Stengel, Benedicte, Stracke, Sylvia, Strauch, Konstantin, Toniolo, Daniela, Uitterlinden, Andre G., Ulivi, Sheila, Viikari, Jorma S., Völker, Uwe, Völzke, Henry, Vuckovic, Dragana, Waldenberger, Melanie, Yang, Qiong, Chasman, Daniel I., Tromp, Gerard, Heid, Iris M., Fuchsberger, Christian
Format:	Artikel
Sprache:	eng
Schlagworte:	631/208/205/2138 692/4022/1585/104 Carbohydrate metabolism Epidermal growth factor receptors Gene frequency Genes Genome-wide association studies Genomes Glomerular filtration rate Glucose metabolism Heart diseases Humanities and Social Sciences Meta-analysis Metabolism multidisciplinary Science Septum Single-nucleotide polymorphism
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Zusammenfassung:	HapMap imputed genome-wide association studies (GWAS) have revealed >50 loci at which common variants with minor allele frequency >5% are associated with kidney function. GWAS using more complete reference sets for imputation, such as those from The 1000 Genomes project, promise to identify novel loci that have been missed by previous efforts. To investigate the value of such a more complete variant catalog, we conducted a GWAS meta-analysis of kidney function based on the estimated glomerular filtration rate (eGFR) in 110,517 European ancestry participants using 1000 Genomes imputed data. We identified 10 novel loci with p-value
ISSN:	2045-2322 2045-2322
DOI:	10.1038/srep45040