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A catalog of genetic loci associated with kidney function from analyses of a million individuals
(2019)
Wuttke, Matthias ; Li, Yong ; Li, Man ; Sieber, Karsten B. ; Feitosa, Mary F. ; Gorski, Mathias ; Tin, Adrienne ; Wang, Lihua ; Chu, Audrey Y. ; Hoppmann, Anselm ; Kirsten, Holger ; Giri, Ayush ; Chai, Jin-Fang ; Sveinbjornsson, Gardar ; Tayo, Bamidele O. ; Nutile, Teresa ; Fuchsberger, Christian ; Marten, Jonathan ; Cocca, Massimiliano ; Ghasemi, Sahar ; Xu, Yizhe ; Horn, Katrin ; Noce, Damia ; Van der Most, Peter J. ; Sedaghat, Sanaz ; Yu, Zhi ; Akiyama, Masato ; Afaq, Saima ; Ahluwalia, Tarunveer Singh ; Almgren, Peter ; Amin, Najaf ; Arnlov, Johan ; Bakker, Stephan J. L. ; Bansal, Nisha ; Baptista, Daniela ; Bergmann, Sven ; Biggs, Mary L. ; Biino, Ginevra ; Boehnke, Michael ; Boerwinkle, Eric ; Boissel, Mathilde ; Böttinger, Erwin ; Boutin, Thibaud S. ; Brenner, Hermann ; Brumat, Marco ; Burkhardt, Ralph ; Butterworth, Adam S. ; Campana, Eric ; Campbell, Archie ; Campbell, Harry ; Canouil, Mickael ; Carroll, Robert J. ; Catamo, Eulalia ; Chambers, John C. ; Chee, Miao-Ling ; Chee, Miao-Li ; Chen, Xu ; Cheng, Ching-Yu ; Cheng, Yurong ; Christensen, Kaare ; Cifkova, Renata ; Ciullo, Marina ; Concas, Maria Pina ; Cook, James P. ; Coresh, Josef ; Corre, Tanguy ; Sala, Cinzia Felicita ; Cusi, Daniele ; Danesh, John ; Daw, E. Warwick ; De Borst, Martin H. ; De Grandi, Alessandro ; De Mutsert, Renee ; De Vries, Aiko P. J. ; Degenhardt, Frauke ; Delgado, Graciela ; Demirkan, Ayse ; Di Angelantonio, Emanuele ; Dittrich, Katalin ; Divers, Jasmin ; Dorajoo, Rajkumar ; Eckardt, Kai-Uwe ; Ehret, Georg ; Elliott, Paul ; Endlich, Karlhans ; Evans, Michele K. ; Felix, Janine F. ; Foo, Valencia Hui Xian ; Franco, Oscar H. ; Franke, Andre ; Freedman, Barry I. ; Freitag-Wolf, Sandra ; Friedlander, Yechiel ; Froguel, Philippe ; Gansevoort, Ron T. ; Gao, He ; Gasparini, Paolo ; Gaziano, J. Michael ; Giedraitis, Vilmantas ; Gieger, Christian ; Girotto, Giorgia ; Giulianini, Franco ; Gogele, Martin ; Gordon, Scott D. ; Gudbjartsson, Daniel F. ; Gudnason, Vilmundur ; Haller, Toomas ; Hamet, Pavel ; Harris, Tamara B. ; Hartman, Catharina A. ; Hayward, Caroline ; Hellwege, Jacklyn N. ; Heng, Chew-Kiat ; Hicks, Andrew A. ; Hofer, Edith ; Huang, Wei ; Hutri-Kahonen, Nina ; Hwang, Shih-Jen ; Ikram, M. Arfan ; Indridason, Olafur S. ; Ingelsson, Erik ; Ising, Marcus ; Jaddoe, Vincent W. V. ; Jakobsdottir, Johanna ; Jonas, Jost B. ; Joshi, Peter K. ; Josyula, Navya Shilpa ; Jung, Bettina ; Kahonen, Mika ; Kamatani, Yoichiro ; Kammerer, Candace M. ; Kanai, Masahiro ; Kastarinen, Mika ; Kerr, Shona M. ; Khor, Chiea-Chuen ; Kiess, Wieland ; Kleber, Marcus E. ; Koenig, Wolfgang ; Kooner, Jaspal S. ; Korner, Antje ; Kovacs, Peter ; Kraja, Aldi T. ; Krajcoviechova, Alena ; Kramer, Holly ; Kramer, Bernhard K. ; Kronenberg, Florian ; Kubo, Michiaki ; Kuhnel, Brigitte ; Kuokkanen, Mikko ; Kuusisto, Johanna ; La Bianca, Martina ; Laakso, Markku ; Lange, Leslie A. ; Langefeld, Carl D. ; Lee, Jeannette Jen-Mai ; Lehne, Benjamin ; Lehtimaki, Terho ; Lieb, Wolfgang ; Lim, Su-Chi ; Lind, Lars ; Lindgren, Cecilia M. ; Liu, Jun ; Liu, Jianjun ; Loeffler, Markus ; Loos, Ruth J. F. ; Lucae, Susanne ; Lukas, Mary Ann ; Lyytikainen, Leo-Pekka ; Magi, Reedik ; Magnusson, Patrik K. E. ; Mahajan, Anubha ; Martin, Nicholas G. ; Martins, Jade ; Marz, Winfried ; Mascalzoni, Deborah ; Matsuda, Koichi ; Meisinger, Christa ; Meitinger, Thomas ; Melander, Olle ; Metspalu, Andres ; Mikaelsdottir, Evgenia K. ; Milaneschi, Yuri ; Miliku, Kozeta ; Mishra, Pashupati P. ; Program, V. A. Million Veteran ; Mohlke, Karen L. ; Mononen, Nina ; Montgomery, Grant W. ; Mook-Kanamori, Dennis O. ; Mychaleckyj, Josyf C. ; Nadkarni, Girish N. ; Nalls, Mike A. ; Nauck, Matthias ; Nikus, Kjell ; Ning, Boting ; Nolte, Ilja M. ; Noordam, Raymond ; Olafsson, Isleifur ; Oldehinkel, Albertine J. ; Orho-Melander, Marju ; Ouwehand, Willem H. ; Padmanabhan, Sandosh ; Palmer, Nicholette D. ; Palsson, Runolfur ; Penninx, Brenda W. J. H. ; Perls, Thomas ; Perola, Markus ; Pirastu, Mario ; Pirastu, Nicola ; Pistis, Giorgio ; Podgornaia, Anna I. ; Polasek, Ozren ; Ponte, Belen ; Porteous, David J. ; Poulain, Tanja ; Pramstaller, Peter P. ; Preuss, Michael H. ; Prins, Bram P. ; Province, Michael A. ; Rabelink, Ton J. ; Raffield, Laura M. ; Raitakari, Olli T. ; Reilly, Dermot F. ; Rettig, Rainer ; Rheinberger, Myriam ; Rice, Kenneth M. ; Ridker, Paul M. ; Rivadeneira, Fernando ; Rizzi, Federica ; Roberts, David J. ; Robino, Antonietta ; Rossing, Peter ; Rudan, Igor ; Rueedi, Rico ; Ruggiero, Daniela ; Ryan, Kathleen A. ; Saba, Yasaman ; Sabanayagam, Charumathi ; Salomaa, Veikko ; Salvi, Erika ; Saum, Kai-Uwe ; Schmidt, Helena ; Schmidt, Reinhold ; Ben Schottker ; Schulz, Christina-Alexandra ; Schupf, Nicole ; Shaffer, Christian M. ; Shi, Yuan ; Smith, Albert V. ; Smith, Blair H. ; Soranzo, Nicole ; Spracklen, Cassandra N. ; Strauch, Konstantin ; Stringham, Heather M. ; Stumvoll, Michael ; Svensson, Per O. ; Szymczak, Silke ; Tai, E-Shyong ; Tajuddin, Salman M. ; Tan, Nicholas Y. Q. ; Taylor, Kent D. ; Teren, Andrej ; Tham, Yih-Chung ; Thiery, Joachim ; Thio, Chris H. L. ; Thomsen, Hauke ; Thorleifsson, Gudmar ; Toniolo, Daniela ; Tonjes, Anke ; Tremblay, Johanne ; Tzoulaki, Ioanna ; Uitterlinden, Andre G. ; Vaccargiu, Simona ; Van Dam, Rob M. ; Van der Harst, Pim ; Van Duijn, Cornelia M. ; Edward, Digna R. Velez ; Verweij, Niek ; Vogelezang, Suzanne ; Volker, Uwe ; Vollenweider, Peter ; Waeber, Gerard ; Waldenberger, Melanie ; Wallentin, Lars ; Wang, Ya Xing ; Wang, Chaolong ; Waterworth, Dawn M. ; Bin Wei, Wen ; White, Harvey ; Whitfield, John B. ; Wild, Sarah H. ; Wilson, James F. ; Wojczynski, Mary K. ; Wong, Charlene ; Wong, Tien-Yin ; Xu, Liang ; Yang, Qiong ; Yasuda, Masayuki ; Yerges-Armstrong, Laura M. ; Zhang, Weihua ; Zonderman, Alan B. ; Rotter, Jerome I. ; Bochud, Murielle ; Psaty, Bruce M. ; Vitart, Veronique ; Wilson, James G. ; Dehghan, Abbas ; Parsa, Afshin ; Chasman, Daniel I. ; Ho, Kevin ; Morris, Andrew P. ; Devuyst, Olivier ; Akilesh, Shreeram ; Pendergrass, Sarah A. ; Sim, Xueling ; Boger, Carsten A. ; Okada, Yukinori ; Edwards, Todd L. ; Snieder, Harold ; Stefansson, Kari ; Hung, Adriana M. ; Heid, Iris M. ; Scholz, Markus ; Teumer, Alexander ; Kottgen, Anna ; Pattaro, Cristian
Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through transancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these,147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
Motivation:
Constraint-based modeling approaches allow the estimation of maximal in vivo enzyme catalytic rates that can serve as proxies for enzyme turnover numbers. Yet, genome-scale flux profiling remains a challenge in deploying these approaches to catalogue proxies for enzyme catalytic rates across organisms.
Results:
Here, we formulate a constraint-based approach, termed NIDLE-flux, to estimate fluxes at a genome-scale level by using the principle of efficient usage of expressed enzymes. Using proteomics data from Escherichia coli, we show that the fluxes estimated by NIDLE-flux and the existing approaches are in excellent qualitative agreement (Pearson correlation > 0.9). We also find that the maximal in vivo catalytic rates estimated by NIDLE-flux exhibits a Pearson correlation of 0.74 with in vitro enzyme turnover numbers. However, NIDLE-flux results in a 1.4-fold increase in the size of the estimated maximal in vivo catalytic rates in comparison to the contenders. Integration of the maximum in vivo catalytic rates with publically available proteomics and metabolomics data provide a better match to fluxes estimated by NIDLE-flux. Therefore, NIDLE-flux facilitates more effective usage of proteomics data to estimate proxies for kcatomes.
Metabolic engineering of microalgae offers a promising solution for sustainable biofuel production, and rational design of engineering strategies can be improved by employing metabolic models that integrate enzyme turnover numbers. However, the coverage of turnover numbers for Chlamydomonas reinhardtii, a model eukaryotic microalga accessible to metabolic engineering, is 17-fold smaller compared to the heterotrophic cell factory Saccharomyces cerevisiae. Here we generate quantitative protein abundance data of Chlamydomonas covering 2337 to 3708 proteins in various growth conditions to estimate in vivo maximum apparent turnover numbers. Using constrained-based modeling we provide proxies for in vivo turnover numbers of 568 reactions, representing a 10-fold increase over the in vitro data for Chlamydomonas. Integration of the in vivo estimates instead of in vitro values in a metabolic model of Chlamydomonas improved the accuracy of enzyme usage predictions. Our results help in extending the knowledge on uncharacterized enzymes and improve biotechnological applications of Chlamydomonas.
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