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...
Guardado en:
Autores principales: | Ann-Kristin Petersen, Jan Krumsiek, Brigitte Wägele, Fabian J. Theis, H.‐Erich Wichmann, Christian Gieger, Karsten Suhre |
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Formato: | Artigo |
Lenguaje: | inglés |
Publicado: |
2012
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Acceso en línea: | 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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