Potential association of INSIG2 rs7566605 polymorphism with body weight in a Chinese subpopulation (original) (raw)
Introduction
Obesity is becoming a prevalent health problem in both western countries and developing countries such as China. The current prevalence of overweight and obesity in China is 14.7 and 2.6%, respectively, according to WHO criteria.1 A large-scale genetic study by Herbert et al2 has revealed a significant association of rs7566605 single-nucleotide polymorphism (SNP) with obesity in a study with a total of 9881 individuals. The rs7566605 locus is located at 10 kb upstream of INSIG2 gene, the product of which is implicated in the synthesis of fatty acids and cholesterol.3 Since the original report by Herbert et al, five independent studies in the United Kingdom, France, Germany and China did not find significant association between rs7566605 polymorphism and obesity,4, 5, 6, 7, 8 although a subgroup analysis indicated association of this genotype with obesity in already overweight individuals.7 Lately, Lyon et al9 reported a significant association of the rs7566605 genotype with body mass index (BMI) in five cohorts but saw no association in three other cohorts, suggesting that the effect of rs7566605 genotype on BMI may be heterogeneous across population samples.
Materials and methods
The rs7566605 polymorphism was determined in 3125 Chinese in a cross-sectional study with about half of the participants being recruited from Beijing and the other half from Shanghai, originally designed to analyze the geographic difference in nutrition, lifestyle, genetics and metabolic disorders among middle- to old-aged population (50–70 years old).10 All participants are Chinese in origin and unrelated. The average BMI is 24.5±3.6 kg/m2 (Table 1), considerably lower than the BMI of the population studies in the United Kingdom, France and Germany.4, 5, 6, 7 The rs7566605 polymorphism was analyzed by a restriction fragment-length polymorphism via digestion with MboI restriction enzyme.4 All participants have provided their written informed consents and the protocol was approved by the Institutional Review Board of the Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences.
Table 1 Characteristics of study participantsa
Results and discussion
We analyzed rs7566605 polymorphism in 3125 Chinese in a cross-sectional study.10 The overall C allele frequency was 35.9% and the C/C genotype frequency was 12.3%, similar to the reported studies.2, 4, 5, 6, 7 Participants from Beijing had significantly higher levels of BMI and waist circumference, and higher prevalence of overweight, obesity and abdominal obesity than their counterparts in Shanghai (Table 1). Among all participants, there was no significant association between rs7566605 polymorphism and BMI or waist circumference as analyzed by an additive model (Table 2). This observation appeared to be consistent with recent reports showing a lack of association of rs7566605 alleles with obesity in general population.4, 5, 6, 7, 8
Table 2 Associations of rs7566605 genotype with body mass index and waist circumference among 3125 Chinese men and women aged 50–70 yearsa
However, when the geographic location is stratified, the C/C genotype of rs7566605 polymorphism was marginally associated with an increased level of BMI in Shanghai participants (_P_=0.0600), but not in Beijing participants (_P_=0.8121) as analyzed by an additive model (Table 2). Consistently, a marginally increased risk of overweight or obesity (OR 1.39; 95% CI: 0.99–1.95; _P_=0.0412) and abdominal obesity (OR 1.41; 95% CI: 1.00–1.97; _P_=0.0665) was observed for C/C genotype among Shanghai participants by analysis with an additive model (Table 2). Further analysis with a recessive model revealed that the C/C genotype of rs7566605 polymorphism was significantly associated with elevated BMI (24.6 vs 24.1 kg/m2; _P_=0.0263) and increased risk of overweight and obesity (OR 1.39; 95% CI: 1.01–1.91; _P_=0.0411) among Shanghai participants. Taken together, these findings indicate that the C minor allele of rs7566605 is potentially associated with increased risk of obesity in Shanghai subpopulation in our study.
Assuming that the genetic background is not different among the individuals living at these two geographic locations as supported by our finding that the C allele frequency was equivalent between Beijing and Shanghai subpopulation (36.0% in Beijing, 35.9% in Shanghai, _P_=0.9271), the higher incidence of overweight/obesity in Beijing indicates that environmental factors may contribute more to overweight/obesity in Beijing than in Shanghai. Under this consideration, the increased contribution of environmental factors to obesity in Beijing may mask the relative weak contribution of genetic factors such as rs7566605 polymorphism. Therefore, we postulate that the rs7566605 SNP may be implicated in the risk of obesity when the contribution of environmental factors is relatively small in population studies. This hypothesis is partly supported by a recent report demonstrating that the effect of rs7566605 polymorphism on BMI may be heterogeneous among different populations.9
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Acknowledgements
This work was supported by research grants from Chinese Academy of Sciences (One Hundred Talents Program and the Knowledge Innovation Program KSCX1-YW-02), National Natural Science Foundation of China (30470870 and 30588002) and Ministry of Science and Technology of China (2006CB503900 and 2007CB947100) to YC.
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- Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Graduate School of the Chinese Academy of Sciences, Shanghai, China
Ling Yang, Ying Wu, Huaixin Li, Zhijie Yu, Yong Liu, Xu Lin & Yan Chen - Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
Xin Li
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- Ling Yang
You can also search for this author inPubMed Google Scholar - Ying Wu
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Correspondence toXu Lin or Yan Chen.
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Yang, L., Wu, Y., Li, H. et al. Potential association of INSIG2 rs7566605 polymorphism with body weight in a Chinese subpopulation.Eur J Hum Genet 16, 759–761 (2008). https://doi.org/10.1038/ejhg.2008.8
- Received: 23 August 2007
- Revised: 22 November 2007
- Accepted: 20 December 2007
- Published: 13 February 2008
- Issue Date: June 2008
- DOI: https://doi.org/10.1038/ejhg.2008.8