International Journal For Multidisciplinary Research

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Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

Association of APOA5 rs662799 Variation with Metabolic Syndrome among Adults from Diverse Geo-climatic Setup of West Bengal, India: A Cross-sectional Study

Author(s) Partha Sarathi Datta, Prof. Rajesh K. Gautam
Country India
Abstract Background: Apolipoprotein A5 (APOA5) plays an important role in triglyceride-rich lipoprotein metabolism, and the rs662799 (−1131T>C) polymorphism has been associated with dyslipidemia and metabolic syndrome (MetS) in several populations. However, evidence regarding this association remains inconsistent across ethnic and environmental settings. This study investigated the association between APOA5 rs662799 variation and MetS among adults from diverse geo-climatic setup of West Bengal, India.
Methods: A community-based cross-sectional study was conducted among adults aged ≥21 years residing in five geo-climatic setup of West Bengal: Hill, Plateau, Plain, Delta, and Coastal. APOA5 rs662799 was genotyped by PCR followed by Sanger sequencing in a subset of 155 participants. Genotypes were recorded as GG, AG, and AA according to the reference-strand orientation. MetS was defined using modified NCEP-ATP III criteria. Genotype and allele frequencies, Hardy–Weinberg equilibrium, and associations between genotype and MetS were assessed using appropriate statistical methods.
Results: Among the 155 participants, AG was the most frequent genotype (45.16%), followed by GG (36.13%) and AA (18.71%). The overall G- and A-allele frequencies were 58.71% and 41.29%, respectively. Genotype distributions varied across geo-climatic settings but showed no significant departure from Hardy–Weinberg equilibrium. Overall, APOA5 rs662799 genotype was not significantly associated with MetS (OR=0.82, 95% CI: 0.42–1.58; logistic-regression p=0.21). A nominally significant association was observed in the Coastal subgroup (p=0.03); however, the corresponding confidence interval was wide (OR=0.44, 95% CI: 0.03–5.41), indicating substantial uncertainty.
Conclusion: In this study population, APOA5 rs662799 was not significantly associated with MetS at the overall population level. The observed variation across geo-climatic setup and the exploratory Coastal finding warrant further investigation in larger studies incorporating lipid traits, lifestyle factors, and potential gene–environment interactions.
Keywords APOA5 rs662799, metabolic syndrome, genetic polymorphism, geo-climatic variation, India.
Field Biology > Genetics / Molecular
Published In Volume 8, Issue 5, September-October 2026
Published On 2026-09-28
DOI https://doi.org/10.36948/ijfmr.2026.v08i05.88704

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