| Title: | A statistical framework for personalized nutrition recommendations based on genetic and anthropometric data. |
| Lead Institution: | Weizmann Institute of Science |
| Principal investigator: | Professor Eran Segal |
Application 28784
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About
In recent years there is accumulating evidence that genetics and lifestyle habits interplay in complex ways to affect clinical conditions. We intend to investigate the relationship between genetic factors, dietary habits, anthropometric traits and several clinical outcomes, with the aim of proposing personalized nutrition recommendations. Our main goal is to minimize the risk of obesity and other diet-induced disease via individual-specific nutrition recommendations. The proposed research aims to improve the prevention, diagnosis and treatment of illness and the promotion of health by providing personalized nutrition recommendations, in alignment with the UK biobank?s stated purpose. We intend to identify genetic mechanisms that, in combination with the dietary habits of an individual, can be used to predict clinical outcomes. These findings can be used to provide personalized nutrition recommendations to minimize risk for adverse outcomes. We intend to use all individuals for which both genetic and dietary habits data is available to obtain as much power as possible to achieve significant results (approximately 500,000 individuals).1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 10613 | Genome-Wide Association Analysis of Over 170,000 Individuals from the UK Biobank Identifies Seven Loci Associated with Dietary Approaches to Stop Hypertension (DASH) Diet | Olatz Mompeo (+9) | 2022 | Nutrients |
Enabling scientific discoveries that improve human health