1000 Genomes-based metaanalysis identifies 10 novel loci for kidney function

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dc.contributor.authorGorski, Mathiasen_ZA
dc.contributor.authorVan Der Most, Peter J.en_ZA
dc.contributor.authorTeumer, Alexanderen_ZA
dc.contributor.authorChu, Audrey Y.en_ZA
dc.contributor.authorLi, Manen_ZA
dc.contributor.authorMijatovic, Vladanen_ZA
dc.contributor.authorNolte, Ilja M.en_ZA
dc.contributor.authorCocca, Massimilianoen_ZA
dc.contributor.authorTaliun, Danielen_ZA
dc.contributor.authorGomez, Feliciaen_ZA
dc.contributor.authorLi, Yongen_ZA
dc.contributor.authorTayo, Bamideleen_ZA
dc.contributor.authorTin, Adrienneen_ZA
dc.contributor.authorFeitosa, Mary F.en_ZA
dc.contributor.authorAspelund, Thoren_ZA
dc.contributor.authorAttia, Johnen_ZA
dc.contributor.authorBiffar, Reineren_ZA
dc.contributor.authorBochud, Murielleen_ZA
dc.contributor.authorBoerwinkle, Ericen_ZA
dc.contributor.authorBorecki, Ingriden_ZA
dc.contributor.authorBottinger, Erwin P.en_ZA
dc.contributor.authorChen, Ming-Hueien_ZA
dc.contributor.authorChouraki, Vincenten_ZA
dc.contributor.authorCiullo, Marinaen_ZA
dc.contributor.authorCoresh, Josefen_ZA
dc.contributor.authorCornelis, Marilyn C.en_ZA
dc.contributor.authorCurhan, Gary C.en_ZA
dc.contributor.authord’Adamo, Adamo Pioen_ZA
dc.contributor.authorDehghan, Abbasen_ZA
dc.contributor.authorDengler, Lauraen_ZA
dc.contributor.authorDing, Jingzhongen_ZA
dc.contributor.authorEiriksdottir, Gudnyen_ZA
dc.contributor.authorEndlich, Karlhansen_ZA
dc.contributor.authorEnroth, Stefanen_ZA
dc.contributor.authorEsko, Tonuen_ZA
dc.contributor.authorFranco, Oscar H.en_ZA
dc.contributor.authorGasparini, Paoloen_ZA
dc.contributor.authorGieger, Christianen_ZA
dc.contributor.authorGirotto, Giorgiaen_ZA
dc.contributor.authorGottesman, Omrien_ZA
dc.contributor.authorGudnason, Vilmunduren_ZA
dc.contributor.authorGyllensten, Ulfen_ZA
dc.contributor.authorHancock, Stephen J.en_ZA
dc.contributor.authorHarris, Tamara B.en_ZA
dc.contributor.authorHelmer, Catherineen_ZA
dc.contributor.authorHollerer, Simonen_ZA
dc.contributor.authorHofer, Edithen_ZA
dc.contributor.authorHofman, Alberten_ZA
dc.contributor.authorHolliday, Elizabeth G.en_ZA
dc.contributor.authorHomuth, Georgen_ZA
dc.contributor.authorHu, Frank B.en_ZA
dc.contributor.authorHuth, Corneliaen_ZA
dc.contributor.authorHutri-Kahonen, Ninaen_ZA
dc.contributor.authorHwang, Shih-Jenen_ZA
dc.contributor.authorImboden, Medeaen_ZA
dc.contributor.authorJohansson, Asaen_ZA
dc.contributor.authorKahonen, Mikaen_ZA
dc.contributor.authorKonig, Wolfgangen_ZA
dc.contributor.authorKramer, Hollyen_ZA
dc.contributor.authorKramer, Bernhard K.en_ZA
dc.contributor.authorKumar, Ashishen_ZA
dc.contributor.authorKutalik, Zoltanen_ZA
dc.contributor.authorLambert, Jean-Charlesen_ZA
dc.contributor.authorLauner, Lenore J.en_ZA
dc.contributor.authorLehtimaki, Terhoen_ZA
dc.contributor.authorDe Borst, Martin H.en_ZA
dc.contributor.authorNavis, Gerjanen_ZA
dc.contributor.authorSwertz, Morrisen_ZA
dc.contributor.authorLiu, Yongmeien_ZA
dc.contributor.authorLohman, Kurten_ZA
dc.contributor.authorLoos, Ruth J. F.en_ZA
dc.contributor.authorLu, Yingchangen_ZA
dc.contributor.authorLyytikainen, Leo-Pekkaen_ZA
dc.contributor.authorMcEvoy, Mark A.en_ZA
dc.contributor.authorMeisinger, Christaen_ZA
dc.contributor.authorMeitinger, Thomasen_ZA
dc.contributor.authorMetspalu, Andresen_ZA
dc.contributor.authorMetzger, Marieen_ZA
dc.contributor.authorMihailov, Evelinen_ZA
dc.contributor.authorMitchell, Paulen_ZA
dc.contributor.authorNauck, Matthiasen_ZA
dc.contributor.authorOldehinkel, Albertine J.en_ZA
dc.contributor.authorOlden, Matthiasen_ZA
dc.contributor.authorPenninx, Brenda W. J. H.en_ZA
dc.contributor.authorPistis, Giorgioen_ZA
dc.contributor.authorPramstaller, Peter P.en_ZA
dc.contributor.authorProbst-Hensch, Nicoleen_ZA
dc.contributor.authorRaitakari, Olli T.en_ZA
dc.contributor.authorRettig, Raineren_ZA
dc.contributor.authorRidker, Paul M.en_ZA
dc.contributor.authorRivadeneira, Fernandoen_ZA
dc.contributor.authorRobino, Antoniettaen_ZA
dc.contributor.authorRosas, Sylvia E.en_ZA
dc.contributor.authorRuderfer, Douglasen_ZA
dc.contributor.authorRuggiero, Danielaen_ZA
dc.contributor.authorSaba, Yasamanen_ZA
dc.contributor.authorSala, Cinziaen_ZA
dc.contributor.authorSchmidt, Helenaen_ZA
dc.contributor.authorSchmidt, Reinholden_ZA
dc.contributor.authorScott, Rodney J.en_ZA
dc.contributor.authorSedaghat, Sanazen_ZA
dc.contributor.authorSmith, Albert V.en_ZA
dc.contributor.authorSorice, Rossellaen_ZA
dc.contributor.authorStengel, Benedicteen_ZA
dc.contributor.authorStracke, Sylviaen_ZA
dc.contributor.authorStrauch, Konstantinen_ZA
dc.contributor.authorToniolo, Danielaen_ZA
dc.contributor.authorUitterlinden, Andre G.en_ZA
dc.contributor.authorUlivi, Sheilaen_ZA
dc.contributor.authorViikari, Jorma S.en_ZA
dc.contributor.authorVolker, Uween_ZA
dc.contributor.authorVollenweider, Peteren_ZA
dc.contributor.authorVolzke, Henryen_ZA
dc.contributor.authorVuckovic, Draganaen_ZA
dc.contributor.authorWaldenberger, Melanieen_ZA
dc.contributor.authorWang, Jie Jinen_ZA
dc.contributor.authorYang, Qiongen_ZA
dc.contributor.authorChasman, Daniel I.en_ZA
dc.contributor.authorTromp, Gerarden_ZA
dc.contributor.authorSnieder, Harolden_ZA
dc.contributor.authorHeid, Iris M.en_ZA
dc.contributor.authorFox, Caroline S.en_ZA
dc.contributor.authorKottgen, Annaen_ZA
dc.contributor.authorPattaro, Cristianen_ZA
dc.contributor.authorBoger, Carsten A.en_ZA
dc.contributor.authorFuchsberger, Christianen_ZA
dc.date.accessioned2018-11-29T09:56:12Z
dc.date.available2018-11-29T09:56:12Z
dc.date.issued2017
dc.descriptionCITATION: Gorski, M., et al. 2017. 1000 Genomes-based metaanalysis identifies 10 novel loci for kidney function. Scientific Reports, 7:45040, doi:10.1038/srep45040.en_ZA
dc.descriptionThe original publication is available at https://www.nature.comen_ZA
dc.description.abstractHapMap 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 × 10−8 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.en_ZA
dc.description.urihttps://www.nature.com/articles/srep45040
dc.description.versionPublisher's versionen_ZA
dc.format.extent11 pages : illustrations (some colour)en_ZA
dc.identifier.citationGorski, M., et al. 2017. 1000 Genomes-based metaanalysis identifies 10 novel loci for kidney function. Scientific Reports, 7:45040, doi:10.1038/srep45040en_ZA
dc.identifier.issn2045-2322 (Online)
dc.identifier.otherdoi:10.1038/srep45040
dc.identifier.urihttp://hdl.handle.net/10019.1/104749
dc.language.isoen_ZAen_ZA
dc.publisherNature Researchen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectKidney functionen_ZA
dc.subjectGenome based meta-analysisen_ZA
dc.subjectKidneys -- Researchen_ZA
dc.title1000 Genomes-based metaanalysis identifies 10 novel loci for kidney functionen_ZA
dc.typeArticleen_ZA
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