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

M. Gorski, P.J. Van Der Most, A. Teumer, A.Y. Chu, M. Li, V. Mijatovic, I.M. Nolte, M. Cocca, D. Taliun, F. Gomez, Y. Li, B. Tayo, A. Tin, M.F. Feitosa, T. Aspelund, J. Attia, R. Biffar, M. Bochud, E. Boerwinkle, I. BoreckiE.P. Bottinger, M.-H. Chen, V. Chouraki, M. Ciullo, J. Coresh, M.C. Cornelis, G.C. Curhan, A.P. D'Adamo, A. Dehghan, L. Dengler, J. Ding, G. Eiriksdottir, K. Endlich, S. Enroth, T. Esko, O.H. Franco, P. Gasparini, C. Gieger, G. Girotto, O. Gottesman, V. Gudnason, U. Gyllensten, S.J. Hancock, T.B. Harris, C. Helmer, A. Robino, D. Ruggiero, C. Sala, D. Toniolo, S. Ulivi, Paolo Gasparini

Research output: Contribution to journalArticle

Original languageEnglish
JournalScientific Reports
Volume7
DOIs
Publication statusPublished - 2017

Cite this

Gorski, M., Van Der Most, P. J., Teumer, A., Chu, A. Y., Li, M., Mijatovic, V., Nolte, I. M., Cocca, M., Taliun, D., Gomez, F., Li, Y., Tayo, B., Tin, A., Feitosa, M. F., Aspelund, T., Attia, J., Biffar, R., Bochud, M., Boerwinkle, E., ... Gasparini, P. (2017). 1000 Genomes-based metaanalysis identifies 10 novel loci for kidney function. Scientific Reports, 7. https://doi.org/10.1038/srep45040