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Bidirectional Mendelian Randomization and Multiphenotype GWAS Show Causality and Shared Pathophysiology Between
Jared G Maina1,2, Zhanna Balkhiyarova3,4,5, Arie Nouwen6
1INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France.
Depression causally increases type 2 diabetes risk, with BMI mediating a significant portion of this effect. Preventing depression and managing weight are key for managing this comorbidity.
Area of Science:
- Genetics
- Metabolic Disorders
- Psychiatry
Background:
- Depression and type 2 diabetes frequently co-occur.
- Understanding the causal link and shared genetic basis is crucial for effective management.
Purpose of the Study:
- To investigate the causal relationship between depression and type 2 diabetes.
- To identify shared genetic factors contributing to both conditions.
Main Methods:
- Two-sample, bidirectional Mendelian randomization (MR) to assess causality.
- Two-step MR for mediation analysis.
- Genome-wide association studies (GWAS) and multiphenotype GWAS (MP-GWAS) using UK Biobank data.
- Expression quantitative trait locus (eQTL) analysis.
Main Results:
- Depression causally increases type 2 diabetes risk (OR 1.26).
- Body Mass Index (BMI) mediated 36.5% of the depression to type 2 diabetes effect.
- MP-GWAS identified seven shared genetic loci, including genes involved in cell cycle and insulin signaling.
- Major depressive disorder (MDD) showed no significant association in GWAS.
Conclusions:
- Depression is a significant risk factor for type 2 diabetes.
- Maintaining a healthy weight is important for individuals with depression and type 2 diabetes.
- Targeting shared genetic mechanisms may offer novel therapeutic strategies.
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