Type 2 diabetes is causally associated with depression: a Mendelian randomization analysis
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
Front. Med. ›› 2018, Vol. 12 ›› Issue (6) : 678 -687.
Type 2 diabetes is causally associated with depression: a Mendelian randomization analysis
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.
causal modeling / depression / Mendelian randomization / type 2 diabetes
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Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature
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