Type 2 diabetes is causally associated with depression: a Mendelian randomization analysis.
10.1007/s11684-018-0671-7
- Author:
Liping XUAN
1
;
Zhiyun ZHAO
1
;
Xu JIA
1
;
Yanan HOU
1
;
Tiange WANG
1
;
Mian LI
1
;
Jieli LU
1
;
Yu XU
1
;
Yuhong CHEN
1
;
Lu QI
2
;
Weiqing WANG
1
;
Yufang BI
1
;
Min XU
3
Author Information
1. State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
2. Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA.
3. State Key Laboratory of Medical Genomics, Key Laboratory for Endocrine and Metabolic Diseases of Ministry of Health, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. della.xumin@163.com.
- Publication Type:Journal Article
- Keywords:
Mendelian randomization;
causal modeling;
depression;
type 2 diabetes
- MeSH:
Aged;
Causality;
China;
epidemiology;
Depression;
epidemiology;
etiology;
Diabetes Mellitus, Type 2;
complications;
genetics;
psychology;
Female;
Genetic Variation;
Genotype;
Humans;
Linear Models;
Longitudinal Studies;
Male;
Mendelian Randomization Analysis;
Middle Aged;
Polymorphism, Single Nucleotide;
Psychiatric Status Rating Scales;
Risk Factors;
Sensitivity and Specificity
- From:
Frontiers of Medicine
2018;12(6):678-687
- CountryChina
- Language:English
-
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.
