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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...

詳細記述

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書誌詳細
出版年:Curr Dev Nutr
主要な著者: Berry, Sarah, Valdes, Ana, Davies, Richard, Delahanty, Linda, Drew, David, Chan, Andrew Tan, Segata, Nicola, Franks, Paul, Spector, Tim
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2019
主題:
オンライン・アクセス: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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