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Updated: Sep 27, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
A systematic review and meta-analysis on the association between CD36 rs1761667 polymorphism and cardiometabolic risk
Zeinab Yazdanpanah1,2, Hassan Mozaffari-Khosravi1,2,3, Masoud Mirzaei4
1Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, PO Code 8915173160, Iran.
Insights
The CD36 rs1761667 polymorphism is linked to triglyceride levels and potentially HDL-C and fasting blood glucose. Further research is needed to confirm these associations across diverse populations.
Area of Science:
- Cardiovascular Disease Genetics
- Metabolic Syndrome Research
- Molecular Biology
Background:
- Cluster of Differentiation 36 (CD36) plays a key role in cardiovascular disease development.
- Genetic variations, such as polymorphisms, can influence an individual's susceptibility to cardiometabolic risk factors.
- Understanding the genetic underpinnings of CD36 is crucial for identifying individuals at higher risk.
Purpose of the Study:
- To investigate the association between the CD36 rs1761667 polymorphism and various cardiometabolic risk factors.
- To evaluate the relationship with body mass index (BMI), waist circumference (WC), lipid profiles (total cholesterol, triglyceride, HDL-C, LDL-C), blood pressure, and fasting blood glucose (FBG).
- To explore potential heterogeneity and subgroup differences in the observed associations.
Main Methods:
- A systematic literature search was conducted across major databases (PubMed, EMBASE, Scopus, Web of Science, Google Scholar) up to December 2021.
- Meta-analysis and meta-regression techniques were employed to synthesize data from eligible studies.
- Eighteen studies involving 6317 participants were included in the final analysis.
Main Results:
- A significant association was identified between the CD36 rs1761667 polymorphism and triglyceride levels across allelic, recessive, and homozygous models.
- The recessive genetic model revealed a relationship between this polymorphism and HDL-C and fasting blood glucose levels.
- Subgroup analysis indicated that the A allele was associated with impaired lipid profiles (TC, LDL-C, HDL-C) specifically in Asian populations.
Conclusions:
- The CD36 rs1761667 polymorphism is associated with altered triglyceride levels and potentially impacts HDL-C and FBG.
- Genetic variations in CD36 may contribute to cardiometabolic risk, with population-specific effects observed.
- Future large-scale cohort studies in diverse ethnicities are recommended to validate these findings and elucidate the precise role of this SNP.
Abstract:
The cluster of differentiation 36 (CD36) is one of the main receptors implicated in the pathogenesis of the cardiovascular disease. This study aimed to assess the association between CD36 rs1761667 polymorphism and cardiometabolic risk factors including body mass index (BMI), waist circumference (WC), total cholesterol (TC), triglyceride, HDL-C, LDL-C, blood pressure and fasting blood glucose (FBG). PubMed, EMBASE, Scopus, web of science, and Google Scholar were searched up to December 2021. Subgroup and meta-regression analyses were conducted to explore sources of heterogeneity. Eighteen eligible studies (6317 participants) were included in the study. In the overall analysis, a significant association was found between rs1761667 polymorphism of CD36 and TG in allelic (p < 0.001), recessive (p = 0.001) and homozygous (p = 0.006) models. A relationship between this polymorphism and HDL-C and FBG level was observed in the recessive genetic model. In the subgroup analysis, the A allele was associated with impaired lipid profiles (TC, LDL-C and HDL-C) in the Asian population. The influences of health status, design of the study, confounders, and other sources of heterogeneity should be considered when interpreting present findings. Cohort studies with large sample size and in different ethnicities are needed to confirm the relationship between rs1761667 SNP and cardiometabolic risk factors.
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