A metabolome-wide association study of kidney function and disease in the general population.
Autor(en):
Sekula, P. ; Goek, O.N. ; Quaye, L. ; Barrios, C. ; Levey, A.S. ; Römisch-Margl, W. ; Menni, C. ; Yet, I. ; Gieger, C. ; Inker, L.A. ; Adamski, J. ; Gronwald, W. ; Illig, T. ; Dettmer, K. ; Krumsiek, J. ; Oefner, P.J. ; Valdes, A.M. ; Meisinger, C. ; Coresh, J. ; Spector, T.D. ; Mohney, R.P. ; Suhre, K. ; Kastenmüller, G. ; Köttgen, A.
Stichworte:
Enabling and Novel Technologies ; Genetics and Epidemiology
Research Programmes: Genes and Environment in Common Diseases ; German Center for Diabetes Research
TUM Einrichtung:
Institute of Bioinformatics and Systems Biology (IBIS) ; Institute of Epidemiology II (EPI2) ; Institute of Experimental Genetics (IEG) ; Institute of Computational Biology (ICB) ; Institute of Epidemiology I (EPI1)