Shared genetic architecture between neuroticism, coronary artery disease and cardiovascular risk factors

Neuroticism and the Risk of Atrial Fibrillation: An Observational Epidemiologic and Mendelian Randomization Study

Background

The association between neuroticism and atrial fibrillation (AF) remains unknown.

Objectives

This study aimed to assess the epidemiological and causal relationships between neuroticism and AF.

Methods

Individuals without AF history were selected From the UK Biobank nationwide prospective cohort study. Participants were divided into 2 groups (high and low) based on the median summary score from a self-questionnaire of 12 neurotic behavior domains. The 10-year AF risk was compared between the neuroticism score groups using inverse probability of treatment weighting. The causal relationship between neuroticism and AF was evaluated using a 2-sample summary-level Mendelian randomization with the inverse variance-weighted method.

Results

Of 394,834 participants (mean age 56.3 ± 8.1 years, 45.9% male), AF occurred in 23,509 (6.0%) during a 10-year follow-up. The risk of incident AF significantly increased in the high neuroticism score group (score ≥4) (inverse probability of treatment weighting-adjusted HR: 1.05; 95% CI: 1.02-1.09; P = 0.005) compared with the low neuroticism group. In the subgroup analysis, younger age, lower body mass index, or nonsmoker/ex-smoker participants were particularly susceptible to increased AF risk due to high neuroticism scores. A Mendelian randomization analysis showed a significant causal relationship between an increase in neuroticism score and increased risk of AF (OR by inverse variance-weighted method 1.06; 95% CI: 1.02-1.11; P = 0.007) without evidence of reverse causality.

Conclusions

There was a significant longitudinal and causal relationship between neuroticism and AF. An integrated care including active mental health screening and management may benefit in high-risk populations.

High neuroticism is associated with common late adverse effects in a nationwide sample of long-term breast cancer survivors

PURPOSE

Neuroticism is a basic personality trait characterized by negative emotions triggered by stress such as a breast cancer diagnosis and its treatment. Due to lack of relevant research, the purpose of this study was to examine if high neuroticism is associated with seven common late adverse effects (LAEs) in long-term (≥ 5 years) breast cancer survivors (BCSs).

METHODS

All female Norwegian BCSs aged 20-65 years when diagnosed with stage I-III breast cancer in 2011 or 2012 were invited to a questionnaire study in 2019 (N = 2803), of whom 48% participated (N = 1355). Neuroticism was self-rated using the abridged version of the Eysenck Personality Questionnaire, and scores dichotomized into high and low neuroticism. LAEs were defined by categorization of ratings on the EORTC QLQ-C30 (cognitive function, pain, and sleep problems) and QLQ-BR23 (arm problems) questionnaires, and categorizations of scale scores on mental distress, fatigue, and neuropathy. Associations between high neuroticism and LAEs were explored using multivariate logistic regression analyses.

RESULTS

High neuroticism was found in 40% (95%CI 37-42%) of BCSs. All LAEs were significantly more common among BCSs with high compared to low neuroticism. In multivariable analyses, high neuroticism was positively associated with all LAEs except neuropathy. Systemic treatment, somatic comorbidity, and not being in paid work were also significantly associated with all LAEs.

CONCLUSIONS

High neuroticism is prevalent and associated with increased risks of LAEs among BCSs. Identification of high neuroticism could improve the follow-up care of BCSs as effective interventions for the condition exist.

Neuroticism personality traits are linked to adverse cardiovascular phenotypes in the UK Biobank

AIMS

To evaluate the relationship between neuroticism personality traits and cardiovascular magnetic resonance (CMR) measures of cardiac morphology and function, considering potential differential associations in men and women.

METHODS AND RESULTS

The analysis includes 36 309 UK Biobank participants (average age = 63.9 ± 7.7 years; 47.8% men) with CMR available and neuroticism score assessed by the 12-item Eysenck Personality Questionnaire-Revised Short Form. CMR scans were performed on 1.5 Tesla scanners (MAGNETOM Aera, Siemens Healthcare, Erlangen, Germany) according to pre-defined protocols and analysed using automated pipelines. We considered measures of left ventricular (LV) and right ventricular (RV) structure and function, and indicators of arterial compliance. Multivariable linear regression was used to estimate association of neuroticism score with individual CMR metrics, with adjustment for age, sex, obesity, deprivation, smoking, diabetes, hypertension, hypercholesterolaemia, alcohol use, exercise, and education. Higher neuroticism scores were associated with smaller LV and RV end-diastolic volumes, lower LV mass, greater concentricity (higher LV mass to volume ratio), and higher native T1. Greater neuroticism was also linked to poorer LV and RV function (lower stroke volumes) and greater arterial stiffness. In sex-stratified analyses, the relationships between neuroticism and LV stroke volume, concentricity, and arterial stiffness were attenuated in women. In men, association (with exception of native T1) remained robust.

CONCLUSION

Greater tendency towards neuroticism personality traits is linked to smaller, poorer functioning ventricles with lower LV mass, higher myocardial fibrosis, and higher arterial stiffness. These relationships are independent of traditional vascular risk factors and are more robust in men than women.

Neuroticism and sudden cardiac death: a prospective cohort study from UK biobank

OBJECTIVE

There is a paucity of evidence on the risk of sudden cardiac death (SCD) according to the degree of neuroticism. We sought to evaluate the association between neuroticism and the long-term risk of SCD.

METHODS

From the UK Biobank nationwide prospective cohort, participants free from previous SCD, ventricular arrhythmias, implantable cardioverter-defibrillator (ICD) insertion, depression, schizophrenia, and bipolar disorder were selected. The 12-item scale of neuroticism measurement (neuroticism score) was categorized into high (≥ 3) and low (< 3) groups. The primary outcome was SCD including ventricular fibrillation (VF) at median 12.6 years of follow-up. The outcomes were compared between the groups using multivariable Cox regression and inverse probability of treatment weighting (IPTW).

RESULTS

A total of 377,563 participants (aged 56.5 ± 8.1, 53.1% women) were analyzed. The high neuroticism score group had a significantly lower risk of SCD (adjusted hazard ratio [aHR] = 0.87, 95% confidence interval [CI] 0.79-0.96, P = 0.007; IPTW-adjusted HR [IPTW-HR] 0.87 [0.77-0.97], P = 0.016) than the low neuroticism score group. The effect of a high neuroticism score on the decreased risk of SCD was more prominent in women (IPTW-HR 0.71 [0.56-0.89], P = 0.003) than in men (IPTW-HR 0.93 [0.82-1.07], P = 0.305, P-for-interaction = 0.043). Sex differences were observed among independent predictors for incident SCD, emphasizing the protective role of a high neuroticism score and moderate-to-vigorous physical activity only in women.

CONCLUSIONS

A high neuroticism score was significantly associated with a lower risk of SCD, particularly in women. Efforts to unveil the causal and mechanistic relationship between personality phenotypes and the risk of SCD should be continued.

[Genome-wide studies of comorbidity of somatic and mental diseases]

Studies of the genomic architecture of complex phenotypes, which include common somatic and mental diseases, have shown that they are characterized by a high degree of polygenicity, i.e. participation of a large number of genes associated with the risk of developing these diseases. In this regard, it is of interest to establish the genetic overlapping between these two groups of diseases. The aim of the review is to analyze genetic studies of the comorbidity of somatic and mental diseases in terms of the universality and specificity of mental disorders in somatic diseases, the reciprocal relationships of these types of pathologies, and the modulating influence of environmental factors on comorbidity. The results of the analysis indicate the existence of a common genetic predisposition to mental and somatic diseases. At the same time, the presence of common genes does not exclude the specificity of the development of mental disorders depending on a specific somatic pathology. It can be assumed that there are genes that are both unique to a particular somatic and comorbid mental illness, and genes that are common to these diseases. Common genes may have varying degrees of specificity, that is, they may be of a universal nature, which, for example, manifests itself in the development of MDD in various somatic diseases, or be specific only for a couple of individual diseases (schizophrenia - breast cancer). At the same time, common genes can have a multidirectional effect, which also contributes to the specificity of comorbidity. In addition, when searching for common genes for somatic and mental diseases, it is necessary to take into account the modulating influence of such confounders as treatment, unhealthy life style, behavioral characteristics, which can also differ in specificity depending on the diseases under consideration.

A large-scale polygenic risk score analysis identified candidate proteins associated with anxiety, depression and neuroticism

Psychiatric disorders and neuroticism are closely associated with central nervous system, whose proper functioning depends on efficient protein renewal. This study aims to systematically analyze the association between anxiety / depression / neuroticism and each of the 439 proteins. 47,536 pQTLs of 439 proteins in brain, plasma and cerebrospinal fluid (CSF) were collected from recent genome-wide association study. Polygenic risk scores (PRS) of the 439 proteins were then calculated using the UK Biobank cohort, including 120,729 subjects of neuroticism, 255,354 subjects of anxiety and 316,513 subjects of depression. Pearson correlation analyses were performed to evaluate the correlation between each protein and each of the mental traits by using calculated PRSs as the instrumental variables of protein. In general population, six correlations were identified in plasma and CSF such as plasma protease C1 inhibitor (C1-INH) with neuroticism score (r = - 0.011, P = 2.56 × 10^- 9) in plasma, C1-INH with neuroticism score (r = -0.010, P = 3.09 × 10^- 8) in CSF, and ERBB1 with self-reported depression (r = - 0.012, P = 4.65 × 10^- 5) in CSF. C1-INH and ERBB1 may induce neuroticism and depression by affecting brain function and synaptic development. Gender subgroup analyses found that BST1 was correlated with neuroticism score in male CSF (r = - 0.011, P = 1.80 × 10^- 5), while CNTN2 was correlated with depression score in female brain (r = - 0.013, P = 6.43 × 10^- 4). BST1 and CNTN2 may be involved in nervous system metabolism and brain health. Six common candidate proteins were associated with all three traits (P < 0.05) and were confirmed in relevant proteomic studies, such as C1-INH in plasma, CNTN2 and MSP in the brain. Our results provide novel clues for revealing the roles of proteins in the development of anxiety, depression and neuroticism.

Dissecting the Association of Genetically Predicted Neuroticism with Coronary Artery Disease: A Two-Sample Mendelian Randomization Study

Background: Observational studies on the association between neuroticism and coronary artery disease (CAD) are still rare, and the results of existing studies are not consistent. The present study aimed to explore causal associations of neuroticism with CAD. Methods: The summary-level data of GWAS for neuroticism and 12 items used to assess neuroticism were extracted from the UK Biobank, and included up to 380,506 participants. The general data for CAD were obtained from the CARDIoGRAMplusC4D consortium, which assembled 60,801 CAD patients and 123,504 non-cases. Single-nucleotide polymorphisms associated with neuroticism and 12 items at genome-wide significance were explored as instrumental variables. Two-sample Mendelian randomization (TSMR) analyses were performed to evaluate causal associations amongst the genetically predicted neuroticism and 12 items with CAD. Results: The present TSMR study did not reveal the genetic association of neuroticism with CAD. The calculated ORs for CAD using inverse-variance weighted, weighted median, and MR-Egger analysis were 1.12 (p-value = 0.187), 0.99 (p-value = 0.943), and 0.82 (p-value = 0.683), respectively. Further TSMR analysis of 12 dichotomous items for assessing neuroticism suggested that mood swings genetically increased the risk of CAD (OR = 1.67, p-value < 0.001). Conclusions: This study reported no genetically causal association of neuroticism with CAD. The present study also found that mood swings may genetically increase the risk of CAD. These findings may highlight the potential of mood control as a preventive measure for CAD.