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Title:

Human serum metabolic profiles are age dependent.

Author(s):
Yu, Z. ; Zhai, G. ; Singmann, P. ; He, Y. ; Xu, T. ; Prehn, C. ; Römisch-Margl, W. ; Lattka, E. ; Gieger, C. ; Soranzo, N. ; Heinrich, J. ; Standl, M. ; Thiering, E. ; Mittelstraß, K. ; Wichmann, H.-E. ; Peters, A. ; Suhre, K. ; Li, Y. ; Adamski, J. ; Spector, T.D. ; Illig, T. ; Wang-Sattler, R.
Keywords:
Genetics and Epidemiology ; Enabling and Novel Technologies
Journal title:
Aging Cell
Year:
2012
Journal volume:
11
Pages contribution:
960-967
Fulltext / DOI:
doi:10.1111/j.1474-9726.2012.00865.x
E-ISSN:
1474-9718
Impact Factor:
6,265
Notes:
Research Programmes: Genes and Environment in Common Diseases ; German Center for Diabetes Research ; Research Units: Research Unit Molecular Epidemiology (AME)
TUM Institution:
Institute of Experimental Genetics (IEG) ; Institute of Bioinformatics and Systems Biology (IBIS) ; Institute of Genetic Epidemiology (IGE) ; Institute of Epidemiology II (EPI2) ; Institute of Epidemiology I (EPI1)
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