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

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.

%B Sci Rep %V 7 %P 45040 %8 2017 04 28 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/28452372?dopt=Abstract %R 10.1038/srep45040 %0 Journal Article %J Nat Commun %D 2016 %T Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. %A Pattaro, Cristian %A Teumer, Alexander %A Gorski, Mathias %A Chu, Audrey Y %A Li, Man %A Mijatovic, Vladan %A Garnaas, Maija %A Tin, Adrienne %A Sorice, Rossella %A Li, Yong %A Taliun, Daniel %A Olden, Matthias %A Foster, Meredith %A Yang, Qiong %A Chen, Ming-Huei %A Pers, Tune H %A Johnson, Andrew D %A Ko, Yi-An %A Fuchsberger, Christian %A Tayo, Bamidele %A Nalls, Michael %A Feitosa, Mary F %A Isaacs, Aaron %A Dehghan, Abbas %A d'Adamo, Pio %A Adeyemo, Adebowale %A Dieffenbach, Aida Karina %A Zonderman, Alan B %A Nolte, Ilja M %A van der Most, Peter J %A Wright, Alan F %A Shuldiner, Alan R %A Morrison, Alanna C %A Hofman, Albert %A Smith, Albert V %A Dreisbach, Albert W %A Franke, Andre %A Uitterlinden, André G %A Metspalu, Andres %A Tönjes, Anke %A Lupo, Antonio %A Robino, Antonietta %A Johansson, Åsa %A Demirkan, Ayse %A Kollerits, Barbara %A Freedman, Barry I %A Ponte, Belen %A Oostra, Ben A %A Paulweber, Bernhard %A Krämer, Bernhard K %A Mitchell, Braxton D %A Buckley, Brendan M %A Peralta, Carmen A %A Hayward, Caroline %A Helmer, Catherine %A Rotimi, Charles N %A Shaffer, Christian M %A Müller, Christian %A Sala, Cinzia %A van Duijn, Cornelia M %A Saint-Pierre, Aude %A Ackermann, Daniel %A Shriner, Daniel %A Ruggiero, Daniela %A Toniolo, Daniela %A Lu, Yingchang %A Cusi, Daniele %A Czamara, Darina %A Ellinghaus, David %A Siscovick, David S %A Ruderfer, Douglas %A Gieger, Christian %A Grallert, Harald %A Rochtchina, Elena %A Atkinson, Elizabeth J %A Holliday, Elizabeth G %A Boerwinkle, Eric %A Salvi, Erika %A Bottinger, Erwin P %A Murgia, Federico %A Rivadeneira, Fernando %A Ernst, Florian %A Kronenberg, Florian %A Hu, Frank B %A Navis, Gerjan J %A Curhan, Gary C %A Ehret, George B %A Homuth, Georg %A Coassin, Stefan %A Thun, Gian-Andri %A Pistis, Giorgio %A Gambaro, Giovanni %A Malerba, Giovanni %A Montgomery, Grant W %A Eiriksdottir, Gudny %A Jacobs, Gunnar %A Li, Guo %A Wichmann, H-Erich %A Campbell, Harry %A Schmidt, Helena %A Wallaschofski, Henri %A Völzke, Henry %A Brenner, Hermann %A Kroemer, Heyo K %A Kramer, Holly %A Lin, Honghuang %A Leach, I Mateo %A Ford, Ian %A Guessous, Idris %A Rudan, Igor %A Prokopenko, Inga %A Borecki, Ingrid %A Heid, Iris M %A Kolcic, Ivana %A Persico, Ivana %A Jukema, J Wouter %A Wilson, James F %A Felix, Janine F %A Divers, Jasmin %A Lambert, Jean-Charles %A Stafford, Jeanette M %A Gaspoz, Jean-Michel %A Smith, Jennifer A %A Faul, Jessica D %A Wang, Jie Jin %A Ding, Jingzhong %A Hirschhorn, Joel N %A Attia, John %A Whitfield, John B %A Chalmers, John %A Viikari, Jorma %A Coresh, Josef %A Denny, Joshua C %A Karjalainen, Juha %A Fernandes, Jyotika K %A Endlich, Karlhans %A Butterbach, Katja %A Keene, Keith L %A Lohman, Kurt %A Portas, Laura %A Launer, Lenore J %A Lyytikäinen, Leo-Pekka %A Yengo, Loic %A Franke, Lude %A Ferrucci, Luigi %A Rose, Lynda M %A Kedenko, Lyudmyla %A Rao, Madhumathi %A Struchalin, Maksim %A Kleber, Marcus E %A Cavalieri, Margherita %A Haun, Margot %A Cornelis, Marilyn C %A Ciullo, Marina %A Pirastu, Mario %A de Andrade, Mariza %A McEvoy, Mark A %A Woodward, Mark %A Adam, Martin %A Cocca, Massimiliano %A Nauck, Matthias %A Imboden, Medea %A Waldenberger, Melanie %A Pruijm, Menno %A Metzger, Marie %A Stumvoll, Michael %A Evans, Michele K %A Sale, Michele M %A Kähönen, Mika %A Boban, Mladen %A Bochud, Murielle %A Rheinberger, Myriam %A Verweij, Niek %A Bouatia-Naji, Nabila %A Martin, Nicholas G %A Hastie, Nick %A Probst-Hensch, Nicole %A Soranzo, Nicole %A Devuyst, Olivier %A Raitakari, Olli %A Gottesman, Omri %A Franco, Oscar H %A Polasek, Ozren %A Gasparini, Paolo %A Munroe, Patricia B %A Ridker, Paul M %A Mitchell, Paul %A Muntner, Paul %A Meisinger, Christa %A Smit, Johannes H %A Kovacs, Peter %A Wild, Philipp S %A Froguel, Philippe %A Rettig, Rainer %A Mägi, Reedik %A Biffar, Reiner %A Schmidt, Reinhold %A Middelberg, Rita P S %A Carroll, Robert J %A Penninx, Brenda W %A Scott, Rodney J %A Katz, Ronit %A Sedaghat, Sanaz %A Wild, Sarah H %A Kardia, Sharon L R %A Ulivi, Sheila %A Hwang, Shih-Jen %A Enroth, Stefan %A Kloiber, Stefan %A Trompet, Stella %A Stengel, Bénédicte %A Hancock, Stephen J %A Turner, Stephen T %A Rosas, Sylvia E %A Stracke, Sylvia %A Harris, Tamara B %A Zeller, Tanja %A Zemunik, Tatijana %A Lehtimäki, Terho %A Illig, Thomas %A Aspelund, Thor %A Nikopensius, Tiit %A Esko, Tõnu %A Tanaka, Toshiko %A Gyllensten, Ulf %A Völker, Uwe %A Emilsson, Valur %A Vitart, Veronique %A Aalto, Ville %A Gudnason, Vilmundur %A Chouraki, Vincent %A Chen, Wei-Min %A Igl, Wilmar %A März, Winfried %A Koenig, Wolfgang %A Lieb, Wolfgang %A Loos, Ruth J F %A Liu, Yongmei %A Snieder, Harold %A Pramstaller, Peter P %A Parsa, Afshin %A O'Connell, Jeffrey R %A Susztak, Katalin %A Hamet, Pavel %A Tremblay, Johanne %A de Boer, Ian H %A Böger, Carsten A %A Goessling, Wolfram %A Chasman, Daniel I %A Köttgen, Anna %A Kao, W H Linda %A Fox, Caroline S %K Gene Expression Regulation %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Renal Insufficiency, Chronic %X

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.

%B Nat Commun %V 7 %P 10023 %8 2016 %G eng %1 http://www.ncbi.nlm.nih.gov/pubmed/26831199?dopt=Abstract %R 10.1038/ncomms10023 %0 Journal Article %J Hum Mol Genet %D 2012 %T Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function. %A Chasman, Daniel I %A Fuchsberger, Christian %A Pattaro, Cristian %A Teumer, Alexander %A Böger, Carsten A %A Endlich, Karlhans %A Olden, Matthias %A Chen, Ming-Huei %A Tin, Adrienne %A Taliun, Daniel %A Li, Man %A Gao, Xiaoyi %A Gorski, Mathias %A Yang, Qiong %A Hundertmark, Claudia %A Foster, Meredith C %A O'Seaghdha, Conall M %A Glazer, Nicole %A Isaacs, Aaron %A Liu, Ching-Ti %A Smith, Albert V %A O'Connell, Jeffrey R %A Struchalin, Maksim %A Tanaka, Toshiko %A Li, Guo %A Johnson, Andrew D %A Gierman, Hinco J %A Feitosa, Mary F %A Hwang, Shih-Jen %A Atkinson, Elizabeth J %A Lohman, Kurt %A Cornelis, Marilyn C %A Johansson, Åsa %A Tönjes, Anke %A Dehghan, Abbas %A Lambert, Jean-Charles %A Holliday, Elizabeth G %A Sorice, Rossella %A Kutalik, Zoltán %A Lehtimäki, Terho %A Esko, Tõnu %A Deshmukh, Harshal %A Ulivi, Sheila %A Chu, Audrey Y %A Murgia, Federico %A Trompet, Stella %A Imboden, Medea %A Coassin, Stefan %A Pistis, Giorgio %A Harris, Tamara B %A Launer, Lenore J %A Aspelund, Thor %A Eiriksdottir, Gudny %A Mitchell, Braxton D %A Boerwinkle, Eric %A Schmidt, Helena %A Cavalieri, Margherita %A Rao, Madhumathi %A Hu, Frank %A Demirkan, Ayse %A Oostra, Ben A %A de Andrade, Mariza %A Turner, Stephen T %A Ding, Jingzhong %A Andrews, Jeanette S %A Freedman, Barry I %A Giulianini, Franco %A Koenig, Wolfgang %A Illig, Thomas %A Meisinger, Christa %A Gieger, Christian %A Zgaga, Lina %A Zemunik, Tatijana %A Boban, Mladen %A Minelli, Cosetta %A Wheeler, Heather E %A Igl, Wilmar %A Zaboli, Ghazal %A Wild, Sarah H %A Wright, Alan F %A Campbell, Harry %A Ellinghaus, David %A Nöthlings, Ute %A Jacobs, Gunnar %A Biffar, Reiner %A Ernst, Florian %A Homuth, Georg %A Kroemer, Heyo K %A Nauck, Matthias %A Stracke, Sylvia %A Völker, Uwe %A Völzke, Henry %A Kovacs, Peter %A Stumvoll, Michael %A Mägi, Reedik %A Hofman, Albert %A Uitterlinden, André G %A Rivadeneira, Fernando %A Aulchenko, Yurii S %A Polasek, Ozren %A Hastie, Nick %A Vitart, Veronique %A Helmer, Catherine %A Wang, Jie Jin %A Stengel, Bénédicte %A Ruggiero, Daniela %A Bergmann, Sven %A Kähönen, Mika %A Viikari, Jorma %A Nikopensius, Tiit %A Province, Michael %A Ketkar, Shamika %A Colhoun, Helen %A Doney, Alex %A Robino, Antonietta %A Krämer, Bernhard K %A Portas, Laura %A Ford, Ian %A Buckley, Brendan M %A Adam, Martin %A Thun, Gian-Andri %A Paulweber, Bernhard %A Haun, Margot %A Sala, Cinzia %A Mitchell, Paul %A Ciullo, Marina %A Kim, Stuart K %A Vollenweider, Peter %A Raitakari, Olli %A Metspalu, Andres %A Palmer, Colin %A Gasparini, Paolo %A Pirastu, Mario %A Jukema, J Wouter %A Probst-Hensch, Nicole M %A Kronenberg, Florian %A Toniolo, Daniela %A Gudnason, Vilmundur %A Shuldiner, Alan R %A Coresh, Josef %A Schmidt, Reinhold %A Ferrucci, Luigi %A Siscovick, David S %A van Duijn, Cornelia M %A Borecki, Ingrid B %A Kardia, Sharon L R %A Liu, Yongmei %A Curhan, Gary C %A Rudan, Igor %A Gyllensten, Ulf %A Wilson, James F %A Franke, Andre %A Pramstaller, Peter P %A Rettig, Rainer %A Prokopenko, Inga %A Witteman, Jacqueline %A Hayward, Caroline %A Ridker, Paul M %A Parsa, Afshin %A Bochud, Murielle %A Heid, Iris M %A Kao, W H Linda %A Fox, Caroline S %A Köttgen, Anna %K Amino Acid Transport Systems, Basic %K Antigens, CD98 Heavy Chain %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Glomerular Filtration Rate %K Humans %K Inhibin-beta Subunits %K Intracellular Signaling Peptides and Proteins %K Low Density Lipoprotein Receptor-Related Protein-2 %K Membrane Proteins %K Polymorphism, Single Nucleotide %X

In conducting genome-wide association studies (GWAS), analytical approaches leveraging biological information may further understanding of the pathophysiology of clinical traits. To discover novel associations with estimated glomerular filtration rate (eGFR), a measure of kidney function, we developed a strategy for integrating prior biological knowledge into the existing GWAS data for eGFR from the CKDGen Consortium. Our strategy focuses on single nucleotide polymorphism (SNPs) in genes that are connected by functional evidence, determined by literature mining and gene ontology (GO) hierarchies, to genes near previously validated eGFR associations. It then requires association thresholds consistent with multiple testing, and finally evaluates novel candidates by independent replication. Among the samples of European ancestry, we identified a genome-wide significant SNP in FBXL20 (P = 5.6 × 10(-9)) in meta-analysis of all available data, and additional SNPs at the INHBC, LRP2, PLEKHA1, SLC3A2 and SLC7A6 genes meeting multiple-testing corrected significance for replication and overall P-values of 4.5 × 10(-4)-2.2 × 10(-7). Neither the novel PLEKHA1 nor FBXL20 associations, both further supported by association with eGFR among African Americans and with transcript abundance, would have been implicated by eGFR candidate gene approaches. LRP2, encoding the megalin receptor, was identified through connection with the previously known eGFR gene DAB2 and extends understanding of the megalin system in kidney function. These findings highlight integration of existing genome-wide association data with independent biological knowledge to uncover novel candidate eGFR associations, including candidates lacking known connections to kidney-specific pathways. The strategy may also be applicable to other clinical phenotypes, although more testing will be needed to assess its potential for discovery in general.

%B Hum Mol Genet %V 21 %P 5329-43 %8 2012 Dec 15 %G eng %N 24 %1 http://www.ncbi.nlm.nih.gov/pubmed/22962313?dopt=Abstract %R 10.1093/hmg/dds369