The Impact of Lipid-metabolizing Genetic Polymorphisms on Body Mass Index and Their Interactions with Soybean Food Intake： A Study in a Chinese Population

• Published in: Biomedical and environmental sciences Vol. 27; no. 3; pp. 176 - 185
• Main Authors: WANG, Jin Wei, TANG, Xun, LI, Na, WU, Yi Qun, LI, Shuai, LI, Jin, QIN, Xue Ying, ZHANG, Zong Xin, HU, Yong Hua, CHEN, Da Fang
• Format: Journal Article
• Language: English
• Published: China Elsevier B.V 01.03.2014; Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China%Fangshan District Bureau of Health, Beijing 102401, China%The First Hospital of Fangshan District, Beijing 102400, China
• Subjects: Adult; Apolipoprotein B-48 - genetics; Asian People - genetics; Body Mass Index; Cross-Sectional Studies; Diet; Dyslipidemias - genetics; Eating; Female; Gene-Environment Interaction; Genetic epidemiology; Genetic Predisposition to Disease; Glycine max; Haplotypes; Humans; Hydroxymethylglutaryl CoA Reductases - genetics; Lipid metabolism; Lipid Metabolism - genetics; Logistic Models; Logistic回归分析; Male; Middle Aged; Overweight - genetics; Polymorphism, Single Nucleotide; Repressor Proteins - genetics; 中国人口; 基因多态性; 大豆食品; 摄入量; 脂质代谢; 质量指数; 身体; Haplotypes; Body mass index; Lipid metabolism; Genetic epidemiology; Gene-environment interaction
• DOI: 10.3967/bes2014.039
• ISSN: 0895-3988

Objective To evaluate the association of known polymorphisms in the lipid metabolic pathway with body mass index （BMI）, and estimate their interactions with soybean food intake. Methods A community-based cross-sectional survey was conducted in a Chinese Han population. BMI, soybean food intake, and single nucleotide polymorphisms of rs599839, rs3846662, rs3846663, rs12916, rs174547, rs174570, rs4938303, and rs1558861 were measured in 944 subjects. A multivariate logistic regression was used to analyze the association of the studied polymorphisms with BMIs. The expectation-maximization algorithm was employed to evaluate the extent of linkage disequilibrium between pairwise polymorphisms. The gene-environment interaction was assessed in the general multifactor dimensionality reduction model. Results The polymorphisms of rs3846662 and rs3846663 were associated with 10% highest BMIs when comparing to the 10% lowest values both in individuals and haplotype-based association tests. Although no statistically significant gene-environment interactions were found, people with the haplotype composed of C allele in rs3846662 and T allele in rs3846663 and low frequency of soybean intake had significantly hisher risk to overweight and obesity as compared with those with the haplotype consisting of T allele in rs3846662 and C allele in rs3846663 and highly frequent soybean food intake, with an odds ratio of 1.64 （95% confidence interval： 1.15-2.34, P〈0.01） after adjusting for the common confounders. Conclusion Our study has sugsested that rs3846662 and rs3846663 may be the potential candidate polymorphisms for obesity, and their effect on the pathogenesis could be mediated by the frequency of soybean food intake.