Key result
Genetically predicted mood swings linked to ~110% higher CAD risk, partially driven by smoking.
Why the study?
Individuals with psychiatric illnesses have an elevated risk of CVDs, and mood swings are linked to psychiatric disorders, but the relationship between genetically predicted mood swings and CVDs risk remained unclear.
Do genetically predicted mood swings increase the risk of cardiovascular diseases in individuals of European descent?
Observational (n=451,619)
Yes
Do genetically predicted mood swings increase the risk of cardiovascular diseases in individuals of European descent?
Odds Ratio: 2.101 (95% CI 1.2–3.679)
p-value: p=0.009
Genetically predicted mood swings are causally associated with an increased risk of coronary artery disease, major coronary events, and heart failure, with smoking acting as a significant mediator in these pathways.
May support mood screening in CAD risk assessment; hypothesis-generating for interventions targeting mood swings or smoking.
It has been found that individuals with psychiatric illnesses are predisposed to an elevated risk of cardiovascular diseases (CVDs). Mood swing is a clinically relevant characteristic linked to psychiatric disorders. This study examined the possible relationship between genetically predicted mood swings and CVDs risk. In this mediation Mendelian randomization (MR) study, we compiled data from genome-wide association studies examining mood swings (n = 451,619) and 5 CVDs among Europeans, including coronary artery disease (CAD) (n = 547,261), major coronary heart disease events (MCEs) (n = 361,194), all-cause heart failure (AHF) (n = 218,208), atrial fibrillation (n = 1030,836), and stroke (n = 446,696). The inverse variance weighting method was considered the primary assessment approach in MR analysis, and several sensitivity analyses were performed to evaluate the reliability of the results. Furthermore, the mediating effect of lifestyle factors including smoking, alcohol intake, walking, and waist-hip ratio was explored by using a two-step MR. According to our MR analysis, mood swings were genetically associated with a higher risk of CAD (OR, 2.101; 95% CI, 1.200-3.679; P = .009), AHF (OR, 2.761; 95% CI, 1.312-5.810; P = .007), and MCE (OR, 1.048; 95% CI, 1.022-1.076; P < .001). In the two-step MR analysis, smoking may mediate the causal pathways from mood swings to CAD (27%), MCE (18%), and AHF (26%). Our MR study revealed a potential causal relationship between mood swings and CVDs, smoking may play an important role in it, highlighting the need for regulating mood stability and build a healthy lifestyle to prevent the onset of CVDs. However, due to the limitations of MR, further research is needed to confirm these associations and clarify the underlying mechanisms.
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Shi et al. (2025) conducted an observational in Cardiovascular diseases (n=451,619). Mood swings vs. No mood swings was evaluated on Coronary artery disease (CAD) (OR 2.101, 95% CI 1.200-3.679, p=0.009). Genetically predicted mood swings were associated with a significantly higher risk of coronary artery disease (OR 2.101), with smoking mediating 27% of this causal pathway.
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