| Literature DB >> 30446878 |
Liping Xuan1,2,3, Zhiyun Zhao1,2,3, Xu Jia1,2,3, Yanan Hou1,2,3, Tiange Wang1,2,3, Mian Li1,2,3, Jieli Lu1,2,3, Yu Xu1,2,3, Yuhong Chen1,2,3, Lu Qi4, Weiqing Wang1,2,3, Yufang Bi1,2,3, Min Xu5,6,7.
Abstract
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 EggerMR(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.Entities:
Keywords: Mendelian randomization; causal modeling; depression; type 2 diabetes
Mesh：
Year: 2018 PMID： 30446878 DOI： 10.1007/s11684-018-0671-7
Source DB: PubMed Journal: Front Med ISSN： 2095-0217 Impact factor: 4.592