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

Gorski, Mathias, van der Most, Peter J., Teumer, Alexander, Chu, Audrey Y., Li, Man , Mijatovic, Vladan, Nolte, Ilja M., Cocca, Massimiliano , Taliun, Daniel, Gomez, Felicia, Li, Yong , Tayo, Bamidele, Tin, Adrienne, Feitosa, Mary F., Aspelund, Thor , Attia, John, Biffar, Reiner, Bochud, Murielle, Boerwinkle, Eric, Borecki, Ingrid, Bottinger, Erwin P., Chen, Ming-Huei, Chouraki, Vincent , Ciullo, Marina , Coresh, Josef, Cornelis, Marilyn C., Curhan, Gary C., d’Adamo, Adamo Pio , Dehghan, Abbas, Dengler, Laura, Ding, Jingzhong, Eiriksdottir, Gudny, Endlich, Karlhans , Enroth, Stefan , Esko, Tõnu, Franco, Oscar H. , Gasparini, Paolo, Gieger, Christian, Girotto, Giorgia, Gottesman, Omri, Gudnason, Vilmundur, Gyllensten, Ulf, Hancock, Stephen J., Harris, Tamara B., Helmer, Catherine, Höllerer, Simon, Hofer, Edith, Hofman, Albert, Holliday, Elizabeth G., Homuth, Georg, Hu, Frank B., 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, de Borst, Martin, Navis, Gerjan, Swertz, Morris, Liu, Yongmei, Lohman, Kurt, 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, Oldehinkel, Albertine J., Olden, Matthias, WJH Penninx, Brenda, Pistis, Giorgio, Pramstaller, Peter P., Probst-Hensch, Nicole, Raitakari, Olli T., Rettig, Rainer, Ridker, Paul M., Rivadeneira, Fernando, Robino, Antonietta, Rosas, Sylvia E., Ruderfer, Douglas, Ruggiero, Daniela, Saba, Yasaman, 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, Vollenweider, Peter, Völzke, Henry, Vuckovic, Dragana, Waldenberger, Melanie , Jin Wang, Jie, Yang, Qiong, Chasman, Daniel I., Tromp, Gerard, Snieder, Harold, Heid, Iris M., Fox, Caroline S., Köttgen, Anna, Pattaro, Cristian, Böger, Carsten A. and Fuchsberger, Christian (2017) 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. Scientific Reports 2017 (7), p. 45040.

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Date of publication of this fulltext: 25 Jan 2018 12:05

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Other URL: http://doi.org/10.1038/srep45040, https://www.nature.com/articles/srep45040

Dieser Artikel ist in einer Zeitschrift aus dem Directory of Open Access (DOAJ) publiziert.


Abstract

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 ...

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Item type:Article
Date:28 April 2017
Institutions:Medicine > Abteilung für Nephrologie
Medicine > Institut für Epidemiologie und Präventivmedizin > Lehrstuhl für Genetische Epidemiologie
Projects:Open Access Publizieren (DFG)
Identification Number:
ValueType
10.1038/srep45040DOI
Keywords:GLOMERULAR-FILTRATION-RATE; COMMUNITY-BASED POPULATION; WIDE ASSOCIATION; SERUM CREATININE; GENOTYPE IMPUTATION; LINKAGE ANALYSIS; DISEASE; VARIANTS; INTEGRATION; HERITABILITY;
Dewey Decimal Classification:600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:36582
Owner only: item control page

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