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Investigating the link between CDH13 gene SNPs and adiponectin levels in a Korean cohort to study hypoadiponectinemia, considering fasting glucose and smoking. Results showed significant association, especially in subjects with impaired fasting glucose. The study underscores the influence of CDH13 genetic variants on adiponectin levels.
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Association of CDH13 Polymorphisms with Serum Adiponectin Levels in a Korean Population Jae Woong Sull, Sun Ha Jee Eulji University, Yonsei University
Background • Adiponectin is associated with obesity and insulin resistance. • Several genome-wide association studies of adiponectin levels have identified candidate genes, including the CDH13 gene.
Significance of SNPs in CDH13 for all 3 cohorts The upper part of the plot shows the -log10 P value. Black, red, and white solid spots are respectively of the discovery study, of 1st replication and of 2nd replication. The lower part of the plot shows the recombination rate across the region (blue) and the cumulative recombination rate measured away from the most highly associated SNP of rs3865188 (yellow). Positions of highly significant SNPs were upstream of CDH13.
Study Objective • to examine the association of serum adiponectin levels (or hypoadiponectinemia)with SNPs in CDH13 gene considering fasting blood glucose levels and smoking status.
Study Population • A total of 4,294 subjects were recruited from a Hospital, Korea. • 2289 subjects were excluded due to missing BMI and adiponectin level data. Thus, the final population included 2,005 subjects. • The institutional Review Board at Yonsei University
Definition of Hypoadiponectinemia • Hypoadiponectinemia was defined as the lowest quartile of adiponectin (<4.27 for all subjects, <3.85 for Men, <6.01 for Women).
Genotyping • The CDH13 gene SNPs were genotyped via the TaqMan reaction. Duplicate genotyping for 1–2.5% of all samples was carried out as a QC measure.
Statistical Analysis • Most statistical analyses were performed using PLINK and SAS ver. 9.2 (SAS Institute, Cary, NC, USA). • The multivariate linear regression models used in the study incorporated covariates (age and sex). • Multiple logistic regression analysis was also performed.
Table 2. Association between the rs4783244 single nucleotide polymorphism in the CDH13 gene and adiponectin levels based on a linear regression model Estimated effect size (β) and p-value in the multiple linear regression model considered age and sex in the additive model.
Table 3. Odds ratios of rs4783244 CDH13 genotypes for hypoadiponectinemiaa (n = 2,005) a Adjusted for age and sex b CI, confidence interval * Hypoadiponectinemia was defined as the lowest quartile of adiponectin.
Table 4. Odds ratios (OR) of polymorphic rs4783244 CDH13 genotypes for hypoadiponectinemiaa in the population (n = 2,005) a Adjusted for age and sex b CI, confidence interval * Hypoadiponectinemia was defined as the lowest quartile of adiponectin.
Table 5. Odds ratios (OR) of polymorphic rs4783244 CDH13 genotypes for hypoadiponectinemiaa in Korean men (n = 1,412) a Adjusted for age and sex b CI, confidence interval * Hypoadiponectinemia was defined as the lowest quartile of adiponectin.
Summary / Discussion • In this study, SNPs in CDH13 gene were associated with hypoadiponectinemia, consistent with previous studies. • In the present study, we found that CDH13 SNP had a stronger association with hypoadiponectinemia in subjects with impaired fasting glucose levels than Normal subjects
Conclusions • The association of CDH13 gene SNP was stronger in nonsmokers than that in mokers. • In conclusion, this study clearly demonstrates that genetic variants in CDH13 gene influence serum adiponectin levels in Korean adults.