Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Sep 1;46(9):1707-1714.
doi: 10.2337/dc22-2373.

Bidirectional Mendelian Randomization and Multiphenotype GWAS Show Causality and Shared Pathophysiology Between Depression and Type 2 Diabetes

Affiliations

Bidirectional Mendelian Randomization and Multiphenotype GWAS Show Causality and Shared Pathophysiology Between Depression and Type 2 Diabetes

Jared G Maina et al. Diabetes Care. .

Abstract

Objective: Depression is a common comorbidity of type 2 diabetes. We assessed the causal relationships and shared genetics between them.

Research design and methods: We applied two-sample, bidirectional Mendelian randomization (MR) to assess causality between type 2 diabetes and depression. We investigated potential mediation using two-step MR. To identify shared genetics, we performed 1) genome-wide association studies (GWAS) separately and 2) multiphenotype GWAS (MP-GWAS) of type 2 diabetes (19,344 case subjects, 463,641 control subjects) and depression using major depressive disorder (MDD) (5,262 case subjects, 86,275 control subjects) and self-reported depressive symptoms (n = 153,079) in the UK Biobank. We analyzed expression quantitative trait locus (eQTL) data from public databases to identify target genes in relevant tissues.

Results: MR demonstrated a significant causal effect of depression on type 2 diabetes (odds ratio 1.26 [95% CI 1.11-1.44], P = 5.46 × 10-4) but not in the reverse direction. Mediation analysis indicated that 36.5% (12.4-57.6%, P = 0.0499) of the effect from depression on type 2 diabetes was mediated by BMI. GWAS of type 2 diabetes and depressive symptoms did not identify shared loci. MP-GWAS identified seven shared loci mapped to TCF7L2, CDKAL1, IGF2BP2, SPRY2, CCND2-AS1, IRS1, CDKN2B-AS1. MDD has not brought any significant association in either GWAS or MP-GWAS. Most MP-GWAS loci had an eQTL, including single nucleotide polymorphisms implicating the cell cycle gene CCND2 in pancreatic islets and brain and the insulin signaling gene IRS1 in adipose tissue, suggesting a multitissue and pleiotropic underlying mechanism.

Conclusions: Our results highlight the importance to prevent type 2 diabetes at the onset of depressive symptoms and the need to maintain a healthy weight in the context of its effect on depression and type 2 diabetes comorbidity.

PubMed Disclaimer

Conflict of interest statement

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Figures

None
Graphical abstract
Figure 1
Figure 1
Forest plots showing the MR analysis results between type 2 diabetes (outcome) (A) and depression (exposure) (B). The ORs, 95% CIs, and P values are shown.
Figure 2
Figure 2
Manhattan plots of type 2 diabetes (A) and PHQ-9 (B) after MP-GWAS in the UKBB. The red horizontal lines show the genome-wide significance threshold (P < 5 × 10−8). The dashed horizontal lines show the suggestive genome-wide significance threshold (P < 1 × 10−5). The shared loci are annotated. CHR, chromosome.

References

    1. Holt RIG, Peveler RC, Byrne CD. Schizophrenia, the metabolic syndrome and diabetes. Diabet Med 2004;21:515–523 - PubMed
    1. Rotella F, Mannucci E. Depression as a risk factor for diabetes: a meta-analysis of longitudinal studies. J Clin Psychiatry 2013;74:31–37 - PubMed
    1. Nouwen A, Winkley K, Twisk J, et al.; European Depression in Diabetes (EDID) Research Consortium . Type 2 diabetes mellitus as a risk factor for the onset of depression: a systematic review and meta-analysis. Diabetologia 2010;53:2480–2486 - PMC - PubMed
    1. Lawlor DA, Harbord RM, Sterne JAC, Timpson N, Davey Smith G. Mendelian randomization: using genes as instruments for making causal inferences in epidemiology. Stat Med 2008;27:1133–1163 - PubMed
    1. Xuan L, Zhao Z, Jia X, et al. Type 2 diabetes is causally associated with depression: a Mendelian randomization analysis. Front Med 2018;12:678–687 - PubMed

Publication types

MeSH terms

Substances