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A nutrigenetics approach to study the impact of genetic and lifestyle factors on cardiometabolic traits in various ethnic groups: findings from the GeNuIne Collaboration
Open accessAbstract
Several studies on gene–diet interactions (nutrigenetics) have been performed in western populations; however, there are only a few studies to date in lower middle-income countries (LMIC). A large-scale collaborative project called gene–nutrient interactions (GeNuIne) Collaboration, the main objective of which is to investigate the effect of GeNuIne on cardiometabolic traits using population-based studies from various ethnic groups, has been initiated at the University of Reading, UK. While South Asians with higher genetic risk score (GRS) showed a higher risk of obesity in response to a high-carbohydrate diet, South East and Western Asian populations with higher GRS showed an increased risk of central obesity in response to a high-protein diet. The paper also provides a summary of other gene–diet interaction analyses that were performed in LMIC as part of this collaborative project and gives an overview of how these nutrigenetic findings can be translated to personalised and public health approaches for the prevention of cardiometabolic diseases such as obesity, type 2 diabetes and CVD.
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“To control for genetic differences that might alter the cardiometabolic effects of diet,23 we randomly assigned identical twins to follow the 2 diets for 8 weeks.”
From Cardiometabolic Effects of Omnivorous vs Vegan Diets in Identical Twins: A Randomized Clinical Trial (2023) · cites this paper as [23]
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Metadata
- Authors
- Vimaleswaran, K. S.
- Affiliations
- University of Reading (GB)
- Corresponding author
- Vimaleswaran, Karani S.
- Venue
- Proceedings of the Nutrition Society
- Publisher
- Cambridge University Press (CUP)
- Published
- 2020-01-31
- Volume
- 79
- Issue
- 2
- Pages
- 194-204
- ISSN
- 0029-6651 (ISSN-L)
- 1475-2719
- OpenAlex
- W3003349166
- Cited by
- 36
- References
- 84
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 6 · 2023: 6 · 2022: 9 · 2021: 7 · 2020: 2
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of The Nutrition Society (publishedVersion)
- PubMed (publishedVersion)
- CentAUR (University of Reading) (submittedVersion)
- Funders
- British Nutrition Foundation
- University of Reading
- Medical Research Council (MR/S024778/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
- Keywords
- nutrigenetics, gene-diet interaction, cardiometabolic traits, polygenic risk score, obesity, abdominal obesity, high-carbohydrate diet, high-protein diet, South Asian populations, ethnic differences, lower-middle-income countries, type 2 diabetes, cardiovascular disease prevention, personalized nutrition, lifestyle factors
- MeSH terms
- Cardiometabolic Risk Factors, Asia, Asia, Southeastern, Asia, Western, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Diet, Ethnicity, Humans, Life Style, Obesity, Research, South America, Exercise, Asian People, Nutrigenomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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