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Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria

Title: Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria
Authors: Teumer A; Li Y; Ghasemi S; Prins BP; Wuttke M; Hermle T; Giri A; Sieber KB; Qiu C; Kirsten H; Tin A; Chu AY; Bansal N; Feitosa MF; Wang L; Chai JF; Cocca M; Fuchsberger C; Gorski M; Hoppmann A; Horn K; Li M; Marten J; Noce D; Nutile T; Sedaghat S; Sveinbjornsson G; Tayo BO; van der Most PJ; Xu Y; Yu Z; Gerstner L; Ärnlöv J; Bakker SJL; Baptista D; Biggs ML; Boerwinkle E; Brenner H; Burkhardt R; Carroll RJ; Chee ML; Chen M; Cheng CY; Cook JP; Coresh J; Corre T; Danesh J; de Borst MH; De Grandi A; de Mutsert R; de Vries APJ; Degenhardt F; Dittrich K; Divers J; Eckardt KU; Ehret G; Endlich K; Felix JF; Franco OH; Franke A; Freedman BI; Freitag-Wolf S; Gansevoort RT; Giedraitis V; Gögele M; Grundner-Culemann F; Gudbjartsson DF; Gudnason V; Hamet P; Harris TB; Hicks AA; Holm H; Foo VHX; Hwang SJ; Ikram MA; Ingelsson E; Jaddoe VWV; Jakobsdottir J; Josyula NS; Jung B; Kähönen M; Khor CC; Kiess W; Koenig W; Körner A; Kovacs P; Kramer H; Krämer BK; Kronenberg F; Lange LA; Langefeld CD; Lee JJ; Lehtimäki T; Lieb W; Lim SC; Lind L; Lindgren CM; Liu J; Loeffler M; Lyytikäinen LP; Mahajan A; Maranville JC; Mascalzoni D; McMullen B; Meisinger C; Meitinger T; Miliku K; Mook-Kanamori DO; Müller-Nurasyid M; Mychaleckyj JC; Nauck M; Nikus K; Ning B; Noordam R; Connell JO; Olafsson I; Palmer ND; Peters A; Podgornaia AI; Ponte B; Poulain T; Pramstaller PP; Rabelink TJ; Raffield LM; Reilly DF; Rettig R; Rheinberger M; Rice KM; Rivadeneira F; Runz H; Ryan KA; Sabanayagam C; Saum KU; Schöttker B; Shaffer CM; Shi Y; Smith AV; Strauch K; Stumvoll M; Sun BB; Szymczak S; Tai ES; Tan NYQ; Taylor KD; Teren A; Tham YC; Thiery J; Thio CHL; Thomsen H; Thorsteinsdottir U; Tönjes A; Tremblay J; Uitterlinden AG; van der Harst P; Verweij N; Vogelezang S; Völker U; Waldenberger M; Wang C; Wilson OD; Wong C; Wong TY; Yang Q; Yasuda M; Akilesh S; Bochud M; Böger CA; Devuyst O; Edwards TL; Ho K; Morris AP; Parsa A; Pendergrass SA; Psaty BM; Rotter JI; Stefansson K; Wilson JG; Susztak K; Snieder H; Heid IM; Scholz M; Butterworth AS; Hung AM; Pattaro C; Köttgen A
Publication Year: 2019
Collection: Free University of Bozen-Bolzano (UNIBZ): BIA (Bozen-Bolzano Institutional Archive)
Description: Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria. ; open
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 2041-1723
Relation: http://dx.doi.org/10.1038/s41467-019-11576-0; https://www.nature.com/articles/s41467-019-11576-0; https://bia.unibz.it/handle/10863/12164
DOI: 10.1038/s41467-019-11576-0
Availability: https://doi.org/10.1038/s41467-019-11576-0; https://www.nature.com/articles/s41467-019-11576-0; https://bia.unibz.it/handle/10863/12164
Rights: Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License
Accession Number: edsbas.EA26CFA
Database: BASE