Shared genetic loci between depression and cardiometabolic traits
Kristin Torgersen1, Zillur Rahman2, Shahram Bahrami2
1Department of Behavioral Medicine and Faculty of Medicine, University of Oslo, Norway.
Plos Genetics
|May 13, 2022
Summary
This study reveals significant genetic overlap between depression and cardiovascular disease risk factors like body mass index and blood pressure. These findings suggest shared biological pathways contributing to both conditions.
Area of Science:
- Genetics
- Psychiatry
- Cardiology
Background:
- Epidemiological and clinical studies link depression with cardiovascular disease (CVD) risk factors, noting poorer outcomes in CVD patients with depression.
- The genetic underpinnings of the relationship between depression and cardiovascular phenotypes remain largely unknown.
Purpose of the Study:
- To investigate genome-wide and individual locus overlap between depression, coronary artery disease (CAD), and cardiovascular risk factors.
- To identify shared genetic variants and loci influencing these complex traits.
Main Methods:
- Utilized bivariate causal mixture model (MiXeR) for genome-wide polygenic overlap quantification.
- Employed conditional/conjunctional false discovery rate (pleioFDR) to identify shared genetic loci.
- Analyzed genome-wide association study (GWAS) summary statistics for depression, CAD, and nine cardiovascular risk factors.
- Performed functional annotation of genetic loci using FUnctional Mapping and Annotation (FUMA).
Main Results:
- Significant polygenic overlap was observed between depression and body-mass index (9.5K shared variants), and between systolic blood pressure and depression (2K shared variants).
- Identified 79 unique loci associated with depression and either CAD or cardiovascular risk factors using conjFDR.
- Found six genomic loci jointly associated with depression and CAD, alongside numerous loci linked to blood pressure, lipids, type 2 diabetes, and c-reactive protein.
- Loci associated with increased depression risk also showed increased risk for CAD, higher total cholesterol, LDL, and c-reactive protein levels.
Conclusions:
- Demonstrated substantial polygenic overlap between depression, coronary artery disease, and several cardiovascular risk factors.
- Suggested shared molecular mechanisms, including alpha-linolenic acid metabolism for type 2 diabetes, underlying the depression-CVD association.
- Highlighted potential genetic links contributing to the increased cardiovascular disease risk observed in individuals with depression.
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