On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies

On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies

Abstract Background Genome-wide association studies (GWAS) with metabolic traits and metabolome-wide association studies (MWAS) with traits of biomedical relevance are powerful tools to identify the contribution of genetic, environmental and lifestyle factors to the etiology of complex diseases. Hyp...

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Αποθηκεύτηκε σε:

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Ann-Kristin Petersen, Jan Krumsiek, Brigitte Wägele, Fabian J. Theis, H.‐Erich Wichmann, Christian Gieger, Karsten Suhre
Μορφή:	Artigo
Γλώσσα:	Αγγλικά
Έκδοση:	2012
Διαθέσιμο Online:	https://doi.org/10.1186/1471-2105-13-120 https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-13-120
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