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Predicting Personal Metabolic Responses to Food Using Multi-omics Machine Learning in over 1000 Twins and Singletons from the UK and US: The PREDICT I Study (OR31-01-19)
OBJECTIVES: Glycemic, insulinemic and lipemic postprandial responses are multi-factorial and contribute to diabetes, obesity and cardiovascular disease. The aim of the PREDICT I study is to assess the genetic, metabolic, metagenomic, and meal-context contribution to postprandial responses, integrati...
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| Publicat a: | Curr Dev Nutr |
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| Autors principals: | , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6577428/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/cdn/nzz037.OR31-01-19 |
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