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Anna Köttgen

Prof. Dr.
Anna Köttgen

Institute of Genetic Epidemiology
Head of Institute
Phone: 0049-761-270-78050

www.uniklinik-freiburg.de/genetic-epidemiology.html?L=

CV

  • 1994-2001 Medical School,  University of Freiburg, Germany
  • 2002 Medical Dissertation, Dept. of Physiology, University of Freiburg, Germany
  • 2005-2009 Master of Public Health, DFG Postdoctoral Fellow, Assistant Scientist, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
  • 2010-2015 Emmy Noether Research Group Leader, Div. of Nephrology, Medical Center - University of Freiburg, Germany and Adjunct Assistant Professor, Johns Hopkins University, USA
  • Since 2016 Heisenberg Professorship (W3), Medical Center - University of Freiburg, Germany
  • Since 2017 Head of Institute of Genetic Epidemiology

Focus of research

  • Genetic Epidemiology, focus on complex renal and metabolic diseases
  • Metabolomics: focus on identification of membrane transport proteins and enzymes
  • Epidemiological study design and data analysis
  • Participation and leadership role in international genetics consortia

Selected publications

  • Sekula P, ... Köttgen A. A Metabolome-Wide Association Study of Kidney Function and Disease in the General Population. J Am Soc Nephrol. 2016; Apr;27(4):1175-88.
  • Köttgen A et al. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nature Genetics 2013; 45(2):145-54.
  • Suhre K, ... Köttgen A, ... Gieger C. Human metabolic individuality in biomedical and pharmaceutical research. Nature 2011; 477(7362):54-60.
  • Köttgen A et al. New Loci Associated with Kidney Function and Chronic Kidney Disease. Nature Genetics 2010 ; 42(5):376-84.
  • Köttgen A et al. Multiple loci associated with indices of renal function and chronic kidney disease. Nature Genetics 2009; 41(6):712-717.

Research methods

  • [epi-] genome-wide association studies, whole exome/genome sequencing data analysis
  • Analysis and modeling of high-dimensional metabolomics data
  • Conduct and data analysis of prospective cohort studies
  • Pharmacogenomics