Mendelian randomization prioritizes abdominal adiposity as an independent causal factor for liver fat accumulation and cardiometabolic diseases
Éloi Gagnon, William Pelletier, Émilie Gobeil, Jérôme Bourgault, Hasanga D. Manikpurage, Ina Maltais‐Payette, Erik Abner, Nele Taba, Tõnu Esko, Patricia L. Mitchell, Nooshin Ghodsian, Jean‐Pierre Després, Marie‐Claude Vohl, André Tchernof, Sébastien Thériault, Benoît J. Arsenault
Abstract
Abstract Background Observational studies have linked adiposity and especially abdominal adiposity to liver fat accumulation and non-alcoholic fatty liver disease. These traits are also associated with type 2 diabetes and coronary artery disease but the causal factor(s) underlying these associations remain unexplored. Methods We used a multivariable Mendelian randomization study design to determine whether body mass index and waist circumference were causally associated with non-alcoholic fatty liver disease using publicly available genome-wide association study summary statistics of the UK Biobank ( n = 461,460) and of non-alcoholic fatty liver disease (8434 cases and 770,180 control). A multivariable Mendelian randomization study design was also used to determine the respective causal contributions of waist circumference and liver fat ( n = 32,858) to type 2 diabetes and coronary artery disease. Results Using multivariable Mendelian randomization we show that waist circumference increase non-alcoholic fatty liver disease risk even when accounting for body mass index (odd ratio per 1-standard deviation increase = 2.35 95% CI = 1.31–4.22, p = 4.2e−03), but body mass index does not increase non-alcoholic fatty liver disease risk when accounting for waist circumference (0.86 95% CI = 0.54–1.38, p = 5.4e−01). In multivariable Mendelian randomization analyses accounting for liver fat, waist circumference remains strongly associated with both type 2 diabetes (3.27 95% CI = 2.89–3.69, p = 3.8e−80) and coronary artery disease (1.66 95% CI = 1.54–1.8, p = 3.4e−37). Conclusions These results identify waist circumference as a strong, independent, and causal contributor to non-alcoholic fatty liver disease, type 2 diabetes and coronary artery disease, thereby highlighting the importance of assessing body fat distribution for the prediction and prevention of cardiometabolic diseases.