TY - JOUR T1 - 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function. JF - Sci Rep Y1 - 2017 A1 - Gorski, Mathias A1 - van der Most, Peter J A1 - Teumer, Alexander A1 - Chu, Audrey Y A1 - Li, Man A1 - Mijatovic, Vladan A1 - Nolte, Ilja M A1 - Cocca, Massimiliano A1 - Taliun, Daniel A1 - Gomez, Felicia A1 - Li, Yong A1 - Tayo, Bamidele A1 - Tin, Adrienne A1 - Feitosa, Mary F A1 - Aspelund, Thor A1 - Attia, John A1 - Biffar, Reiner A1 - Bochud, Murielle A1 - Boerwinkle, Eric A1 - Borecki, Ingrid A1 - Bottinger, Erwin P A1 - Chen, Ming-Huei A1 - Chouraki, Vincent A1 - Ciullo, Marina A1 - Coresh, Josef A1 - Cornelis, Marilyn C A1 - Curhan, Gary C A1 - d'Adamo, Adamo Pio A1 - Dehghan, Abbas A1 - Dengler, Laura A1 - Ding, Jingzhong A1 - Eiriksdottir, Gudny A1 - Endlich, Karlhans A1 - Enroth, Stefan A1 - Esko, Tõnu A1 - Franco, Oscar H A1 - Gasparini, Paolo A1 - Gieger, Christian A1 - Girotto, Giorgia A1 - Gottesman, Omri A1 - Gudnason, Vilmundur A1 - Gyllensten, Ulf A1 - Hancock, Stephen J A1 - Harris, Tamara B A1 - Helmer, Catherine A1 - Höllerer, Simon A1 - Hofer, Edith A1 - Hofman, Albert A1 - Holliday, Elizabeth G A1 - Homuth, Georg A1 - Hu, Frank B A1 - Huth, Cornelia A1 - Hutri-Kähönen, Nina A1 - Hwang, Shih-Jen A1 - Imboden, Medea A1 - Johansson, Åsa A1 - Kähönen, Mika A1 - König, Wolfgang A1 - Kramer, Holly A1 - Krämer, Bernhard K A1 - Kumar, Ashish A1 - Kutalik, Zoltán A1 - Lambert, Jean-Charles A1 - Launer, Lenore J A1 - Lehtimäki, Terho A1 - de Borst, Martin A1 - Navis, Gerjan A1 - Swertz, Morris A1 - Liu, Yongmei A1 - Lohman, Kurt A1 - Loos, Ruth J F A1 - Lu, Yingchang A1 - Lyytikäinen, Leo-Pekka A1 - McEvoy, Mark A A1 - Meisinger, Christa A1 - Meitinger, Thomas A1 - Metspalu, Andres A1 - Metzger, Marie A1 - Mihailov, Evelin A1 - Mitchell, Paul A1 - Nauck, Matthias A1 - Oldehinkel, Albertine J A1 - Olden, Matthias A1 - Wjh Penninx, Brenda A1 - Pistis, Giorgio A1 - Pramstaller, Peter P A1 - Probst-Hensch, Nicole A1 - Raitakari, Olli T A1 - Rettig, Rainer A1 - Ridker, Paul M A1 - Rivadeneira, Fernando A1 - Robino, Antonietta A1 - Rosas, Sylvia E A1 - Ruderfer, Douglas A1 - Ruggiero, Daniela A1 - Saba, Yasaman A1 - Sala, Cinzia A1 - Schmidt, Helena A1 - Schmidt, Reinhold A1 - Scott, Rodney J A1 - Sedaghat, Sanaz A1 - Smith, Albert V A1 - Sorice, Rossella A1 - Stengel, Bénédicte A1 - Stracke, Sylvia A1 - Strauch, Konstantin A1 - Toniolo, Daniela A1 - Uitterlinden, André G A1 - Ulivi, Sheila A1 - Viikari, Jorma S A1 - Völker, Uwe A1 - Vollenweider, Peter A1 - Völzke, Henry A1 - Vuckovic, Dragana A1 - Waldenberger, Melanie A1 - Jin Wang, Jie A1 - Yang, Qiong A1 - Chasman, Daniel I A1 - Tromp, Gerard A1 - Snieder, Harold A1 - Heid, Iris M A1 - Fox, Caroline S A1 - Köttgen, Anna A1 - Pattaro, Cristian A1 - Böger, Carsten A A1 - Fuchsberger, Christian KW - Computational Biology KW - Gene Frequency KW - Genetic Loci KW - Genome, Human KW - Genome-Wide Association Study KW - Genotyping Techniques KW - Humans KW - Kidney KW - Polymorphism, Single Nucleotide AB -

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 < 5 × 10 previously missed by HapMap-based GWAS. Six of these loci (HOXD8, ARL15, PIK3R1, EYA4, ASTN2, and EPB41L3) are tagged by common SNPs unique to the 1000 Genomes reference panel. Using pathway analysis, we identified 39 significant (FDR < 0.05) genes and 127 significantly (FDR < 0.05) enriched gene sets, which were missed by our previous analyses. Among those, the 10 identified novel genes are part of pathways of kidney development, carbohydrate metabolism, cardiac septum development and glucose metabolism. These results highlight the utility of re-imputing from denser reference panels, until whole-genome sequencing becomes feasible in large samples.

VL - 7 U1 - http://www.ncbi.nlm.nih.gov/pubmed/28452372?dopt=Abstract ER -