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Title:

Novel genetic associations with serum level metabolites identified by phenotype set enrichment analyses.

Author(s):
Ried, J.S. ; Shin, S.Y. ; Krumsiek, J. ; Illig, T. ; Theis, F.J. ; Spector, T.D. ; Adamski, J. ; Wichmann, H.-E. ; Strauch, K. ; Soranzo, N. ; Suhre, K. ; Gieger, C.
Keywords:
Genetics and Epidemiology ; Enabling and Novel Technologies
Journal title:
Hum. Mol. Genet.
Year:
2014
Journal volume:
23
Pages contribution:
5847-5857
Fulltext / DOI:
doi:10.1093/hmg/ddu301
E-ISSN:
0964-6906
Impact Factor:
6,677
Notes:
Research Programmes: Genes and Environment in Common Diseases
TUM Institution:
Institute of Genetic Epidemiology (IGE) ; Institute of Epidemiology II (EPI2) ; Institute of Experimental Genetics (IEG) ; Institute of Computational Biology (ICB) ; Institute of Bioinformatics and Systems Biology (IBIS)
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