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Gene–diet interactions on metabolic disease-related outcomes in Southeast Asian populations: a systematic review

Sekar, P., Ventura, E. F. ORCID:, Dhanapal, A. C. T. A. ORCID:, Cheah, E. S. G. ORCID:, Loganathan, A. ORCID:, Quen, P. L. ORCID:, Appukutty, M. ORCID:, Taslim, N. A. ORCID:, Hardinsyah, H., Md Noh, M. F., Lovegrove, J. A. ORCID:, Givens, I. ORCID: and Karani, S. V. ORCID: (2023) Gene–diet interactions on metabolic disease-related outcomes in Southeast Asian populations: a systematic review. Nutrients, 15 (13). p. 2948. ISSN 2072-6643

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To link to this item DOI: 10.3390/nu15132948


Diabetes and obesity are chronic diseases that are a burden to low- and middle-income countries. We conducted this systematic review to understand gene–diet interactions affecting the Southeast Asian population’s risk of obesity and diabetes. The literature search was performed on Google Scholar and MEDLINE (PubMed) search engines independently by four reviewers who evaluated the eligibility of articles based on inclusion criteria. Out of 19,031 articles, 20 articles examining gene–diet interactions on obesity and/or diabetes-related traits met the inclusion criteria. Three (Malaysia, Indonesia, and Singapore) out of eleven Association of Southeast Asian Nations (ASEAN) countries have conducted studies on gene–diet interactions on obesity and diabetes. From the 20 selected articles, the most common interactions were observed between macronutrients and genetic risk score (GRS) on metabolic disease-related traits in the Malay, Chinese, and Indian ethnicities. Overall, we identified 29 significant gene–diet interactions in the Southeast Asian population. The results of this systematic review demonstrate ethnic-specific gene–nutrient interactions on metabolic-disease-related traits in the Southeast Asian population. This is the first systematic review to explore gene–diet interactions on obesity and diabetes in the Southeast Asian population and further research using larger sample sizes is required for better understanding and framing nutrigenetic approaches for personalized nutrition.

Item Type:Article
Divisions:Life Sciences > School of Chemistry, Food and Pharmacy > Department of Food and Nutritional Sciences > Food Research Group
ID Code:112517
Uncontrolled Keywords:Food Science, Nutrition and Dietetics
Publisher:MDPI AG


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