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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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Acesso em linha: | 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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