Manahil M Bineid, Eduard F Ventura, Aryan Samidoust, Venkatesan Radha, Ranjit Mohan Anjana, Vasudevan Sudha, Gemma E Walton, Viswanathan Mohan, Karani Santhanakrishnan Vimaleswaran
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Abstract
Context: Recent data from the South Asian subregion have raised concern about the dramatic increase in the prevalence of metabolic diseases, which are influenced by genetic and lifestyle factors.
Objective: The aim of this systematic review was to summarize the contemporary evidence for the effect of gene-lifestyle interactions on metabolic outcomes in this population.
Data sources: PubMed, Web of Science, and SCOPUS databases were searched up until March 2023 for observational and intervention studies investigating the interaction between genetic variants and lifestyle factors such as diet and physical activity on obesity and type 2 diabetes traits.
Data extraction: Of the 14 783 publications extracted, 15 were deemed eligible for inclusion in this study. Data extraction was carried out independently by 3 investigators. The quality of the included studies was assessed using the Appraisal Tool for Cross-Sectional Studies (AXIS), the Risk Of Bias In Non-randomized Studies-of Interventions (ROBINS-I), and the methodological quality score for nutrigenetics studies.
Data analysis: Using a narrative synthesis approach, the findings were presented in textual and tabular format. Together, studies from India (n = 8), Pakistan (n = 3), Sri Lanka (n = 1), and the South Asian diaspora in Singapore and Canada (n = 3) reported 543 gene-lifestyle interactions, of which 132 (∼24%) were statistically significant. These results were related to the effects of the interaction of genetic factors with physical inactivity, poor sleep habits, smoking, and dietary intake of carbohydrates, protein, and fat on the risk of metabolic disease in this population.
Conclusions: The findings of this systematic review provide evidence of gene-lifestyle interactions impacting metabolic traits within the South Asian population. However, the lack of replication and correction for multiple testing and the small sample size of the included studies may limit the conclusiveness of the evidence. Note, this paper is part of the Nutrition Reviews Special Collection on Precision Nutrition.
期刊介绍：
Nutrition Reviews is a highly cited, monthly, international, peer-reviewed journal that specializes in the publication of authoritative and critical literature reviews on current and emerging topics in nutrition science, food science, clinical nutrition, and nutrition policy. Readers of Nutrition Reviews include nutrition scientists, biomedical researchers, clinical and dietetic practitioners, and advanced students of nutrition.
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