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. 2024 Oct 17;15(10):1334.
doi: 10.3390/genes15101334.

Genetic Variants of Obesity in Malaysia: A Scoping Review

Siti Sarah Hamzah  1 , Liyana Ahmad Zamri  1 , Norhashimah Abu Seman  1 , Nur Azlin Zainal Abidin  1
Affiliations

Genetic Variants of Obesity in Malaysia: A Scoping Review

Siti Sarah Hamzah et al. Genes (Basel). .

Abstract

Background: Obesity is a pressing public health issue in Malaysia, involving not only excess weight but also complex metabolic and physiological changes. Addressing these complexities requires comprehensive strategies, including understanding the population-level differences in obesity susceptibility. This review aims to compile the genetic variants studied among Malaysians and emphasize their implications for obesity risk.

Methods: Relevant articles published up to March 2024 were extracted from the Scopus, PubMed, and ScienceDirect databases. The review process was conducted in accordance with the PRISMA-ScR guidelines. From an initial pool of 579 articles, 35 of these were selected for the final review.

Results: The identified gene variants, including LEPR (K656N), LEP (G2548A-Indian only), ADIPOQ (rs17366568), UCP2 (45bp-I/D), ADRB3 (rs4994), MC3R (rs3827103), PPARγ (pro12Ala-Malay only), IL1RA (intron 2 VNTR), NFKB1 (rs28362491), and FADS1 (rs174547-Indian only), showed significant associations with obesity as measured by the respective studies.

Conclusions: Overall, more intensive genetic research is needed, starting with population-based profiling of genetic data on obesity, including among children. Sociocultural contexts and environmental factors influence variations in genetic elements, highlighting the need for targeted interventions to mitigate the impacts of obesity in the population.

Keywords: Malaysia; biomarkers; obesity; scoping review.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
PRISMA flowchart outlining selection process for including studies in the review.
Figure 2
Figure 2
STRING protein networks of genes associated with monogenic obesity.
See this image and copyright information in PMC

References

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