Type 2 diabetes is causally associated with depression: a Mendelian randomization analysis / 医学前沿
Frontiers of Medicine
;
(4): 678-687, 2018.
Article
Dans Anglais
| WPRIM
| ID: wpr-771273
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.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Échelles d'évaluation en psychiatrie
/
Psychologie
/
Variation génétique
/
Modèles linéaires
/
Chine
/
Épidémiologie
/
Causalité
/
Facteurs de risque
/
Études longitudinales
/
Sensibilité et spécificité
Type d'étude:
Essai clinique contrôlé
/
Etude diagnostique
/
Etude d'étiologie
/
Étude observationnelle
/
Étude pronostique
/
Facteurs de risque
Limites du sujet:
Adulte très âgé
/
Femelle
/
Humains
/
Mâle
Pays comme sujet:
Asie
langue:
Anglais
Texte intégral:
Frontiers of Medicine
Année:
2018
Type:
Article
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