1. Gene-diet interaction effects on BMI levels in the Singapore Chinese population
- Author
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Xueling Sim, E-Shyong Tai, Ling Wang, Jianjun Liu, Chew-Kiat Heng, Yechiel Friedlander, Chiea Chuen Khor, Ye Sun, Rob M. van Dam, Yi Han, Jian-Min Yuan, Rajkumar Dorajoo, Woon-Puay Koh, and Xuling Chang
- Subjects
Male ,Medicine (miscellaneous) ,Genome-wide association study ,030204 cardiovascular system & hematology ,Body Mass Index ,Cholesterol, Dietary ,0302 clinical medicine ,030212 general & internal medicine ,Prospective Studies ,Gene-diet interaction study ,lcsh:RC620-627 ,2. Zero hunger ,Aged, 80 and over ,education.field_of_study ,Singapore ,Nutrition and Dietetics ,Middle Aged ,3. Good health ,lcsh:Nutritional diseases. Deficiency diseases ,Female ,lcsh:Nutrition. Foods and food supply ,Adult ,Genotype ,Population ,Quantitative Trait Loci ,lcsh:TX341-641 ,Single-nucleotide polymorphism ,Clinical nutrition ,Standard score ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,Asian People ,medicine ,Humans ,Obesity ,education ,Genetic association ,Aged ,business.industry ,Research ,nutritional and metabolic diseases ,medicine.disease ,Diet ,Red Meat ,Cross-Sectional Studies ,Gene-Environment Interaction ,business ,Body mass index ,Demography ,Genome-Wide Association Study - Abstract
Background Recent genome-wide association studies (GWAS) have identified 97 body-mass index (BMI) associated loci. We aimed to evaluate if dietary intake modifies BMI associations at these loci in the Singapore Chinese population. Methods We utilized GWAS information from six data subsets from two adult Chinese population (N = 7817). Seventy-eight genotyped or imputed index BMI single nucleotide polymorphisms (SNPs) that passed quality control procedures were available in all datasets. Alternative Healthy Eating Index (AHEI)-2010 score and ten nutrient variables were evaluated. Linear regression analyses between z score transformed BMI (Z-BMI) and dietary factors were performed. Interaction analyses were performed by introducing the interaction term (diet x SNP) in the same regression model. Analysis was carried out in each cohort individually and subsequently meta-analyzed using the inverse-variance weighted method. Analyses were also evaluated with a weighted gene-risk score (wGRS) contructed by BMI index SNPs from recent large-scale GWAS studies. Results Nominal associations between Z-BMI and AHEI-2010 and some dietary factors were identified (P = 0.047-0.010). The BMI wGRS was robustly associated with Z-BMI (P = 1.55 × 10− 15) but not with any dietary variables. Dietary variables did not significantly interact with the wGRS to modify BMI associations. When interaction analyses were repeated using individual SNPs, a significant association between cholesterol intake and rs4740619 (CCDC171) was identified (β = 0.077, adjPinteraction = 0.043). Conclusions The CCDC171 gene locus may interact with cholesterol intake to increase BMI in the Singaporean Chinese population, however most known obesity risk loci were not associated with dietary intake and did not interact with diet to modify BMI levels. Electronic supplementary material The online version of this article (10.1186/s12937-018-0340-3) contains supplementary material, which is available to authorized users.
- Published
- 2018