Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Addiction. 2024 Jun;119(6):1024-1034. doi: 10.1111/add.16454. Epub 2024 Mar 20.
Smokers tend to have a lower body weight than non-smokers, but also more abdominal fat. It remains unclear whether or not the relationship between smoking and abdominal obesity is causal. Previous Mendelian randomization (MR) studies have investigated this relationship by relying upon a single genetic variant for smoking heaviness. This approach is sensitive to pleiotropic effects and may produce imprecise causal estimates. We aimed to estimate causality between smoking and abdominal obesity using multiple genetic instruments.
MR study using causal analysis using summary effect estimates (CAUSE) and latent heritable confounder MR (LHC-MR) methods that instrument smoking using genome-wide data, and also two-sample MR (2SMR) methods.
Genome-wide association studies (GWAS) summary statistics from participants of European ancestry, obtained from the GWAS and Sequencing Consortium of Alcohol and Nicotine use (GSCAN), Genetic Investigation of Anthropometric Traits (GIANT) Consortium and the UK Biobank.
We used GWAS results for smoking initiation (n = 1 232 091), life-time smoking (n = 462 690) and smoking heaviness (n = 337 334) as exposure traits, and waist-hip ratio (WHR) and waist and hip circumferences (WC and HC) (n up to 697 734), with and without adjustment for body mass index (adjBMI), as outcome traits.
Smoking initiation, life-time smoking, smoking heaviness, WHR, WC, HC, WHR, WC and HC.
Both CAUSE and LHC-MR indicated a positive causal effect of smoking initiation on WHR (0.13 [95% confidence interval (CI) = 0.10, 0.16 and 0.49 (0.41, 0.57), respectively] and WHR (0.07 (0.03, 0.10) and 0.31 (0.26, 0.37). Similarly, they indicated a positive causal effect of life-time smoking on WHR [0.35 (0.29, 0.41) and 0.44 (0.38, 0.51)] and WHR [0.18 (0.13, 0.24) and 0.26 (0.20, 0.31)]. In follow-up analyses, smoking particularly increased visceral fat. There was no evidence of a mediating role by cortisol or sex hormones.
Smoking initiation and higher life-time smoking may lead to increased abdominal fat distribution. The increase in abdominal fat due to smoking is characterized by an increase in visceral fat. Thus, efforts to prevent and cease smoking can have the added benefit of reducing abdominal fat.
吸烟者的体重往往比不吸烟者低,但腹部脂肪也更多。吸烟与腹部肥胖之间的关系是否具有因果关系仍不清楚。先前的孟德尔随机化(MR)研究通过依赖单一的吸烟强度遗传变异来研究这种关系。这种方法容易受到多效性的影响,并且可能产生不精确的因果估计。我们旨在使用多种遗传工具来估计吸烟与腹部肥胖之间的因果关系。
使用因果分析使用汇总效应估计(CAUSE)和潜在遗传性混杂物 MR(LHC-MR)方法的 MR 研究,这些方法使用全基因组数据来检测吸烟情况,并使用两样本 MR(2SMR)方法。
来自欧洲血统参与者的全基因组关联研究(GWAS)汇总统计数据,来自酒精和尼古丁使用 GWAS 和测序联盟(GSCAN)、遗传体型特征研究(GIANT)联盟和英国生物库。
我们使用吸烟起始(n=1232091)、终生吸烟(n=462690)和吸烟强度(n=337334)作为暴露特征的 GWAS 结果,以及腰围-臀围比(WHR)和腰围和臀围(WC 和 HC)(最多 697734 个),包括和不包括身体质量指数(adjBMI)的调整,作为结果特征。
吸烟起始、终生吸烟、吸烟强度、WHR、WC、HC、WHR、WC 和 HC。
CAUSE 和 LHC-MR 均表明,吸烟起始对 WHR(0.13 [95%置信区间(CI)0.10,0.16]和 WHR(0.07 [0.03,0.10])和 WHR(0.07 [0.03,0.10])呈正因果效应)和 WHR(0.31 [0.26,0.37)。同样,它们表明终生吸烟对 WHR [0.35 [0.29,0.41]和 WHR [0.44 [0.38,0.51])呈正因果效应]和 WHR [0.18 [0.13,0.24]和 WHR [0.26 [0.20,0.31])。在后续分析中,吸烟尤其会增加内脏脂肪。没有证据表明皮质醇或性激素有中介作用。
吸烟起始和更高的终生吸烟可能导致腹部脂肪分布增加。吸烟引起的腹部脂肪增加的特征是内脏脂肪增加。因此,预防和戒烟的努力可以额外减少腹部脂肪。