Genetic association study with metabolic syndrome and metabolic-related traits in a cross-sectional sample and a 10-year longitudinal sample of chinese elderly population

Jinghui Yang; Jianwei Liu; Jing Liu; Wenyuan Li; Xiaoying Li; Yao He; Ling Ye

doi:10.1371/journal.pone.0100548

Genetic association study with metabolic syndrome and metabolic-related traits in a cross-sectional sample and a 10-year longitudinal sample of chinese elderly population

PLoS One. 2014 Jun 24;9(6):e100548. doi: 10.1371/journal.pone.0100548. eCollection 2014.

Authors

Jinghui Yang¹, Jianwei Liu¹, Jing Liu¹, Wenyuan Li², Xiaoying Li³, Yao He¹, Ling Ye¹

Affiliations

¹ Institute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China; Beijing Key Lab of Aging and Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China.
² Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
³ Institute of Geriatrics, the General Hospital of the People's Liberation Army, Beijing, China; Department of Geriatric Cardiology, the General Hospital of the People's Liberation Army, Beijing, China.

Abstract

Background: The metabolic syndrome (MetS) has been known as partly heritable, while the number of genetic studies on MetS and metabolic-related traits among Chinese elderly was limited.

Methods: A cross-sectional analysis was performed among 2 014 aged participants from September 2009 to June 2010 in Beijing, China. An additional longitudinal study was carried out among the same study population from 2001 to 2010. Biochemical profile and anthropometric parameters of all the participants were measured. The associations of 23 SNPs located within 17 candidate genes (MTHFR, PPARγ, LPL, INSIG, TCF7L2, FTO, KCNJ11, JAZF1, CDKN2A/B, ADIPOQ, WFS1, CDKAL1, IGF2BP2, KCNQ1, MTNR1B, IRS1, ACE) with overweight and obesity, diabetes, metabolic phenotypes, and MetS were examined in both studies.

Results: In this Chinese elderly population, prevalence of overweight, central obesity, diabetes, dyslipidemia, hypertension, and MetS were 48.3%, 71.0%, 32.4%, 75.7%, 68.3% and 54.5%, respectively. In the cross-sectional analyses, no SNP was found to be associated with MetS. Genotype TT of SNP rs4402960 within the gene IGF2BP2 was associated with overweight (odds ratio (OR) = 0.479, 95% confidence interval (CI): 0.316-0.724, p = 0.001) and genotype CA of SNP rs1801131 within the gene MTHFR was associated with hypertension (OR = 1.560, 95% CI: 1.194-2.240, p = 0.001). However, these associations were not observed in the longitudinal analyses.

Conclusions: The associations of SNP rs4402960 with overweight as well as the association of SNP rs1801131 with hypertension were found to be statistically significant. No SNP was identified to be associated with MetS in our study with statistical significance.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Age Factors
Aged
Asian People*
China / epidemiology
Cross-Sectional Studies
Female
Genetic Association Studies
Genetic Predisposition to Disease
Humans
Longitudinal Studies
Male
Metabolic Syndrome / epidemiology*
Metabolic Syndrome / genetics*
Middle Aged
Polymorphism, Single Nucleotide
Quantitative Trait, Heritable*
Risk Factors

Grants and funding

This work was supported by the Beijing Municipal Science and Technology Commission (No.D121100004912003), Special Research Fund of the Ministry of Health of China (No.201002011), the National Natural Science Foundation of China (No.21071150 and No.81072355). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.