Mason Kate E, Palla Luigi, Pearce Neil, Phelan Jody, Cummins Steven
Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
BMJ Nutr Prev Health. 2020 Oct 5;3(2):247-255. doi: 10.1136/bmjnph-2020-000107. eCollection 2020 Dec.
There is growing recognition that recent global increases in obesity are the product of a complex interplay between genetic and environmental factors. However, in gene-environment studies of obesity, 'environment' usually refers to individual behavioural factors that influence energy balance, whereas more upstream environmental factors are overlooked. We examined gene-environment interactions between genetic risk of obesity and two neighbourhood characteristics likely to be associated with obesity (proximity to takeaway/fast-food outlets and availability of physical activity facilities).
We used data from 335 046 adults aged 40-70 in the UK Biobank cohort to conduct a population-based cross-sectional study of interactions between neighbourhood characteristics and genetic risk of obesity, in relation to body mass index (BMI). Proximity to a fast-food outlet was defined as distance from home address to nearest takeaway/fast-food outlet, and availability of physical activity facilities as the number of formal physical activity facilities within 1 km of home address. Genetic risk of obesity was operationalised by weighted Genetic Risk Scores of 91 or 69 single nucleotide polymorphisms (SNP), and by six individual SNPs considered separately. Multivariable, mixed-effects models with product terms for the gene-environment interactions were estimated.
After accounting for likely confounding, the association between proximity to takeaway/fast-food outlets and BMI was stronger among those at increased genetic risk of obesity, with evidence of an interaction with polygenic risk scores (p=0.018 and p=0.028 for 69-SNP and 91-SNP scores, respectively) and in particular with a SNP linked to (p=0.009), a gene known to regulate food intake. We found very little evidence of gene-environment interaction for the availability of physical activity facilities.
Individuals at an increased genetic risk of obesity may be more sensitive to exposure to the local fast-food environment. Ensuring that neighbourhood residential environments are designed to promote a healthy weight may be particularly important for those with greater genetic susceptibility to obesity.
人们越来越认识到,近期全球肥胖率的上升是遗传和环境因素复杂相互作用的结果。然而,在肥胖的基因-环境研究中,“环境”通常指影响能量平衡的个体行为因素,而更多上游环境因素被忽视。我们研究了肥胖遗传风险与两个可能与肥胖相关的邻里特征(靠近外卖/快餐店以及体育活动设施的可及性)之间的基因-环境相互作用。
我们使用英国生物银行队列中335046名40至70岁成年人的数据,进行了一项基于人群的横断面研究,以探讨邻里特征与肥胖遗传风险之间与体重指数(BMI)相关的相互作用。靠近快餐店的程度定义为从家庭住址到最近的外卖/快餐店的距离,体育活动设施的可及性定义为家庭住址1公里范围内正规体育活动设施的数量。肥胖遗传风险通过91个或69个单核苷酸多态性(SNP)的加权遗传风险评分以及分别考虑的6个个体SNP来衡量。估计了用于基因-环境相互作用的含乘积项的多变量混合效应模型。
在考虑了可能的混杂因素后,肥胖遗传风险增加的人群中,靠近外卖/快餐店与BMI之间的关联更强,有证据表明与多基因风险评分存在相互作用(69-SNP评分和91-SNP评分的p值分别为0.018和0.028),特别是与一个与[具体基因名称缺失]相关的SNP存在相互作用(p = 0.009),该基因已知可调节食物摄入。我们几乎没有发现体育活动设施可及性方面存在基因-环境相互作用的证据。
肥胖遗传风险增加的个体可能对当地快餐环境的暴露更为敏感。确保邻里居住环境的设计有助于促进健康体重,对于那些肥胖遗传易感性较高的人可能尤为重要。