%A Liping Xuan, Zhiyun Zhao, Xu Jia, Yanan Hou, Tiange Wang, Mian Li, Jieli Lu, Yu Xu, Yuhong Chen, Lu Qi, Weiqing Wang, Yufang Bi, Min Xu %T Type 2 diabetes is causally associated with depression: a Mendelian randomization analysis %0 Journal Article %D 2018 %J Front. Med. %J Frontiers of Medicine %@ 2095-0217 %R 10.1007/s11684-018-0671-7 %P 678-687 %V 12 %N 6 %U {https://academic.hep.com.cn/fmd/EN/10.1007/s11684-018-0671-7 %8 2018-12-03 %X

Type 2 diabetes (T2D) has been associated with a high prevalence of depression. We aimed to determine the causal relation by performing a Mendelian randomization (MR) study using 34 T2D risk genetic variants validated in East Asians as the instrumental variable (IV). An MR analysis was performed involving 11 506 participants from a large longitudinal study. The T2D genetic risk score (GRS) was built using the 34 typical T2D common variants. We used T2D_GRS as the IV estimator and performed inverse-variance weighted (IVW) and Egger MR analysis. The T2D_GRS was found to be associated with depression with an OR of 1.21 (95% CI: 1.07–1.37) after adjustments for age, sex, body mass index, current smoking and drinking, physical activity, education, and marital status. Using T2D_GRS as the IV, we similarly found a causal relationship between genetically determined T2D and depression (OR: 1.84, 95% CI: 1.25–2.70). Though we found no association between the combined effect of the genetic IVs for T2D and depression with Egger MR (OR: 0.95, 95% CI: 0.42–2.14), we found an association for T2D and depression with IVW (OR: 1.75, 95% CI: 1.31–2.46) after excluding pleiotropic SNPs. Overall, the MR analyses provide evidence inferring a potential causal relationship between T2D and depression.