Skip to main content
Erschienen in: BMC Medical Genetics 1/2018

Open Access 01.12.2018 | Research article

Association of Catechol-O-methyltransferase (COMT Val158Met) with future risk of cardiovascular disease in depressed individuals - a Swedish population-based cohort study

verfasst von: Aysha Almas, Yvonne Forsell, Vincent Millischer, Jette Möller, Catharina Lavebratt

Erschienen in: BMC Medical Genetics | Ausgabe 1/2018

Abstract

Background

Catechol-O-methyltransferase (COMT Val158Met) has been implicated in both depression and cardiovascular disease. The purpose of this study was to assess if COMT Val158Met, which influences the COMT enzyme activity, has an effect on the risk of cardiovascular disease (CVD) in individuals with a history of depression and also to determine if the risk differs depending on gender.

Methods

Data from a longitudinal cohort study of mental health among Swedish adults was used. Depression was assessed twice 3 years apart for each participant, in 1998–2001 and 2001–2003. Saliva DNA was contributed by 4349 (41.7%) of the participants and 3525 was successfully genotyped for COMT Val158Met. Participants were followed up until December 2014 from the National Patient register with regard to cardiovascular outcomes (hypertensive or ischemic heart disease, and stroke).

Results

Those with depression and the high COMT enzyme activity genotype (Val/Val) had almost a three-fold increased risk of later CVD (OR 3.6; 95% CI: 2.0-6.6) compared to those non-depressed carrying the Val/Val allele. This effect on risk for CVD was higher in women compared to men (OR 7.0; 95% CI: 3.0-14.0 versus OR 2.1; 95% CI: 1.0-6.8). Both additive interaction (attributable proportion (AP) = 0.56; 95% CI: 0.24-0.90 and synergy index (SI) = 4.39; 1.0-18.7) and multiplicative interaction (log likelihood test p = 0.1) was present between depression and COMT Val158Met in predicting risk of later CVD.

Conclusion

High COMT activity genotype Val158Met increased the risk of CVD in depressed persons. The risk was higher in women compared to men.
Abkürzungen
CVD
Cardiovascular diseases
HTN
Hypertension
IHD
Ischemic heart Diseases
MDI
Major depression inventory

Background

Epidemiological and family studies have repeatedly shown that genetic predisposition accounts for 40–60% of the risk for coronary artery disease. Correspondingly for depression, twin studies suggest a heritability of 40–50%, and family studies indicate a two- to threefold increase in lifetime risk of developing depression among first-degree relatives [1]. Multiple studies have shown that depression is a risk factor for cardiovascular diseases (CVD) including coronary heart disease and stroke [2]. Thus genetic vulnerability is important in both CVD and depression, and some of these genetic underpinnings may be shared between the disorders.
Catechol-O-methyltransferase (COMT) has previously been implicated in both depression and CVD. The enzyme COMT is expressed in several tissues and degrades not only dopamine but also other catecholamines and sex steroids, like catechol estrogens and dietary polyphenols. Animal and human studies have shown that altered levels of dopamine neurotransmission contribute to depressive-like behavior and influence depressive symptoms [3, 4]. Dopamine, [5] catechol amines [6, 7] and estrogens [8] have well-known effects on the cardiovascular system, e.g. blood pressure regulation. The COMT enzymatic activity is dependent on genetic variations in the COMT gene. The Val158Met has a large effect on the enzymatic activity and the minor allele is quite frequent in many human populations. COMT Val158Met is a substitution of methionine (Met) for valine (Val) at codon 158 encoded by a single nucleotide polymorphism (SNP), rs4680. The Met allele has a lower enzymatic activity compared to the Val allele. The Val/Val genotype is associated with approximately 40% more effective degradation of dopamine compared to the Met/Met genotype, while those with Val/Met genotype display an intermediate COMT activity [9, 10].
Although COMT Val158Met has not shown significance in genome-wide association studies (GWAS) on depression, a recent meta-analysis by Wang et al. suggested an effect on major depressive disorder depending on ethnicity, with Val being the vulnerability allele in Europeans [11, 12]. The COMT Val158Met has also been reported to be associated with cardiovascular disease and metabolic disorder. COMT Val158Met homozygosity for the low-activity allele (Met/Met), has been associated with myocardial infarction (ncases = 69, ncontrols = 723) [13] and metabolic disorders like abdominal obesity and high blood pressure in men (n = 240) [14]. In contrast, in a larger cohort study in Swedes by Eriksson et al. (ncases = 174, ncontrols = 348), Met/Met was reported to be protective against myocardial infarction [8]. The purpose of this study was to determine the effect of COMT Val158Met on the risk of CVD among depressed persons. Based on the fact that the Val allele was the risk allele for depression in the meta analysis in Europeans [11], and Met/Met homozygosity had a protective effect on myocardial infarction in the large Swedish cohort [14], we hypothesized that the Val allele might increase the risk for depression leading to CVD. Because of previous gender-specific associations for COMT Val158Met with depression and CVD [1416] we performed gender-stratified analyses.

Methods

Cohort

This project utilized data from the PART study (In Swedish short for: Psykisk hälsa, Arbete och RelaTioner), a longitudinal cohort study of mental health, work and relations among randomly selected adults (20–64 years) residing in Stockholm County, Sweden. The Ethical Review Board at Karolinska Institutet, Stockholm, approved the study (case number: 96–260, 97–313, 01–218, 03–302, 2004–528/3, 2009/880–31, 2012/808–32. After a complete description of the study to the subjects, written informed consent was obtained. The PART study had three measurement points: wave 1 (W1) in 1998–2000, wave 2 (W2) in 2001–2003 and wave 3 (W3) in 2010. At each wave, participants answered a postal questionnaire. The questionnaire was divided into two parts, the first one comprised questions about childhood conditions, socioeconomic and demographic factors, coping-strategies, financial status, working conditions, social network, life events, somatic disorders and use of medication. The second part included screening instruments for psychological wellbeing and psychiatric symptoms.
The PART study aimed to include 19,744 persons out of which 19,457 could be reached, and 10,443 individuals responded to the questionnaire at W1 (participation rate 53%). Non-response analyses were performed using available administrative registers, and participation was related to female gender, higher age, higher income and education, being born in the Nordic countries and having no previous psychiatric diagnosis in inpatient registers [17]. In the following two waves the participation rates were 83% (n = 8622) and 61% (n = 5228). Attrition in W2 was associated with similar factors as in W1 [18]. All respondents in W1 (n = 10,443) were invited to provide saliva for DNA and 4349 (42%) participated and were followed up for occurrence of cardiovascular disease event between 2001 and 2014 in the National Patient Register (NPR) [19] (Figure 1). Those with previous psychiatric illness were excluded from the non-depressed group (n = 206).

Definition of depression

A participant was assessed as ‘Depressed’ if scored with depression in W1 or W2 or both waves according to the Major Depression Inventory (MDI) [20]. The MDI has shown high validity in both clinical and non-clinical samples [21, 22]. The MDI scale comprises 10 questions on symptoms present nearly every day during the past 2 weeks. Each question has five response alternatives scored from 1 to 5 according to the presence of the symptom; all the time (5), most of the time (4), slightly more than half of the time (3), slightly less than half of the time (2) some of the time (1) and never (0). The sum score of all 10 questions ranges from 0 to 50. In both W1 and W2 of PART, a subsample was interviewed by psychiatrists using Schedules for Clinical Assessment in Neuropsychiatry to validate the MDI scale for diagnosis of depression. Using an MDI score cutoff > 20, the sensitivity was 78% and the specificity was 73% for Major depressive disorder, and 67 and 79%, respectively, for all depressive disorders [23]. In this current study we used cutoff MDI > 20 for defining depression.

Definition of cardiovascular disease

Cardiovascular disease (CVD) was assessed by hospital discharge diagnoses from the Swedish National Patient Register (NPR) between 2001 and 2014 [24]. The following diagnoses according to the international classification of diseases (ICD10) were used and were grouped together as cardiovascular diseases: ischemic/hypertensive heart disease; hypertensive diseases (I11-I13), ischemic heart diseases (I20-I25), heart failure (I50), other peripheral vascular diseases, embolism and thrombosis (I73-I74); and stroke (I60-I67 and I69).

DNA sampling and genotyping

In 2006–2007 and 2010–2011, all participants who had responded in the first wave (W1) were invited to contribute DNA using a self-administered whole-saliva DNA sample collection kit (Oragene, DNA Genotek Inc., Ottawa, Canada) sent to their homes. Saliva was obtained from 4349 (42%) participants and genomic DNA was extracted using Oragene Purifier. The COMT Val158Met (rs4680) genotype was successfully obtained for 3731 samples (91% of the randomly selected 4107 samples) using TaqMan SNP genotyping assays applying an ABI 7900 HT instrument (Applied Bio systems, Foster City, CA) [15]. Of 1443 samples run in duplicate plates, 96% had successful and identical result in both plates.

Statistical analyses

Logistic regression was used to calculate odds ratios (OR) and corresponding 95% confidence intervals (95% CI) for depression and CVD given COMT Val158Met, adjusting for age and body mass index (BMI). To determine the combined effect of Val158Met and depression on later CVD, similar logistic regression analyses were performed using the four dummy variables; Met carriers (A/A plus A/G) with no depression (reference), Met carriers (A/A plus A/G) with depression, Val/Val (G/G) with no depression, and Val/Val (G/G) with depression. Additive interaction was estimated [25] by calculating the following indices [26, 27]: (i) the relative excess risk due to interaction (RERI), (ii) the attributable proportion due to interaction (AP) and (iii) the synergy index (S). RERI is the excess risk due to interaction relative to the risk without exposure. AP refers to the attributable proportion of disease that is due to interaction among individuals with both exposures. S is the excess risk from both exposures when the additive interaction, relative to the risk from both exposures without interaction. RERI ≠ 0, AP ≠ 0, or S ≠ 1 are indicative of additive interaction [28]. Indices results over the null value indicate synergistic interactions; indices below the null value indicate antagonistic interactions [26]. Multiplicative interaction was estimated using a main effect model (depression and COMT Val158Met as exposure) with and without multiplicative interaction term between depression and COMT Val158Met. The relative goodness of fit among models was established by the Loglikelihood test using the main effect model as reference. A p-value of 0.05 was considered to be statistically significant for the main effects; and a p-value of 0.10 was considered to be statistically significant for interaction terms and interaction indices, since epidemiologic data have limited power to detect product terms [29, 30]. SPSS versions 19.11 and SAS 9.3 were used for the statistical analyses.

Results

Out of the 3525 participants with COMT Val158Met data 1094 (31.0%) had Met/Met genotype, 1720 (48.0%) were Met/Val and 711 (20.2%) were Val/Val (Table 1).
Table 1
Distribution of COMT Val158Met, depression and cardiovascular disease (CVD), stratified by gender
 
All (n = 3525)
Men (n = 1495)
Women (n = 2030)
n (%)
Depression
556 (15.8)
157 (10.5)
399 (19.7)
Cardiovascular disease
236 (6.7)
152 (10.2)
84 (4.1)
COMT Val 158 Meta
 Met/Met
1094 (31.0)
457 (30.6)
637 (31.4)
 Met/Val
1720 (48.0)
722 (48.3)
998 (49.2)
 Val/Val
711 (20.2)
316 (21.1)
395 (19.5)
 
Median (25th, 75th percentile)
Age [years]
46 (34, 55)
47 (35, 55)
45 (33, 54)
BMI [kg/m2]b
24.5 (22.5, 26.9)
25.3 (23.4, 27.4)
23.8 (22.0, 26.5)
aMet/Met (A/A), Met/Val (A/G), Val/Val (G/G)
bBMI: Body mass index
The genotype distribution was in Hardy Weinberg equilibrium (p = 0.31). Those homozygous for Val/Val showed a borderline reduced risk for depression (OR = 0.70 (95% CI: 0.60-1.0), Table 2). However, those who were Val/Val had a point-wise increased risk for future CVD (OR = 1.3 (95% CI: 1.0-1.7)). Stratification on gender showed that the OR point estimate for risk for later CVD was higher among women than men (OR = 1.5 (95% CI: 0.8-2.4) and OR = 1.1 (95% CI: 0.7-1.7), respectively, Table 2).
Table 2
Association of COMT Val158Met with depression and cardiovascular disease; stratified by gender
COMT Val158Met
Depression
Cardiovascular disease (CVD)
All n = 556
Men n = 157
Women n = 399
All n = 236
Men n = 152
Womenn = 84
 
n Depressed/n Non-depressed
n CVD/n Non-CVD
Met/Met or Met/Val
463/2351
130/1049
333/1302
179/2635
117/1062
62/1573
Val/Val
93/618
27/289
66/329
57/654
35/281
22/373
 
Odds ratio (95% confidence interval)a
Met/Met or Met/Val
1 (ref)
1 (ref)
1 (ref)
1 (ref)
1 (ref)
1 (ref)
Val/Val
0.70 (0.60-1.0)
0.74 (0.50-1.1)
0.78 (0.60-1.0)
1.3 (1.0-1.7)
1.1 (0.7-1.7)
1.5 (0.8-2.4)
p value
0.02
0.20
0.11
0.13
0.60
0.13
aOdds ratio (OR) for Val/Val (G/G) was assessed relative to the reference: Met/Met (A/A) plus Met/Val (A/G), adjusted for age and body mass index
Also, depression had a main effect increasing the risk for CVD in this cohort (OR = 1.9 (95% CI 1.4-2.5)) [31]. Considering both depression and Val158Met genotype for future risk of CVD, the OR was 3.6 (95% CI: 2.0-6.6)) for those having both Val/Val and depression and 1.1 (95% CI: 0.8-1.6) for those having Val/Val and no depression (Table 3). The OR (95% CI) for those who were Met carriers and had depression was 1.5 (1.0-2.3). We also stratified the data by gender and found that the point-wise effect on risk of later CVD was higher in women compared to men among those having both Val/Val and depression; OR 7.0 (3.0-14) and 2.1 (1.0-6.8), respectively (Table 3). To explore the possibility of a dilution effect by having Met/Met plus Val/Met in the reference group, we calculated the OR for having Val/Val and depression using the reference group being those having Met/Met and no depression. This OR was 4.2 (95% CI 2.1-8.4) for men and women together, and 8.5 (95% CI 3.4-21.2) for women only. This indicated a slight but no major dilution effect by including both Met/Met and Met/Val in the reference group (corresponding ORs being 3.6 and 7.0, respectively, Table 3).
Table 3
Interaction between COMT Val158Met and depression for later cardiovascular disease (CVD), stratified by gender
 
All (n = 3525)
Men (n = 1495)
Women (n = 2030)
Met/Met or Met/Val
Val/Val
Met/Met or Met/Val
Val/Val
Met/Met or Met/Val
Val/Val
n = 2814
n = 711
n = 1179
n = 316
n = 1635
n = 395
Depression
n CVD/n Non-CVD
 No
146 /2205
42/576
102/947
31/258
44/1258
11/318
 Yes
33/430
15/78
15/115
4/23
18/315
11/55
 
Odds ratio (95% confidence interval)a
Depression
 No
1 (Ref)
1.1 (0.8 1.6)
1 (Ref)
1.1 (0.73 1.7)
1 (Ref)
1.0 (0.50 2.0)
P values
0.5
0.5
0.10
 Yes
1.5 (1.0-2.3)
3.6 (2.0-6.6)
1.8 (1.0-3.4)
2.1 (1.0 6.8)
2.0 (1.1 3.5)
7.0 (3.0 14.0)
P values
0.03
< 0.001
0.05
0.20
0.01
< 0.001
aOdds ratio (OR) for Val/Val (G/G) with no depression, Val/Val (G/G) with depression, and Met carriers (A/A plus A/G) with depression, adjusted for age and body mass index. Met carriers (A/A plus A/G) with no depression was the reference group
Indices of additive interaction in the sample demonstrating additive interaction between depression and Val158Met genotype for later CVD are shown in Table 4. For multiplicative interaction, effect size of the interaction term and the loglikelihood test comparing the main effect model and the model with interaction term are shown in Table 4 and indicate borderline statistical significance.
Table 4
Additive and multiplicative interaction analyses between COMT Val158Met and depression for later cardiovascular disease (CVD) (n = 3525)
Interaction indices
Estimate (95% CI)
Additive interactiona
 RERI
2.06 (− 0.22-4.3)
 AP
0.56 (0.24-0.88)
 S
4.39 (1.0-18.7)
Multiplicative interaction
Odds ratio (95% CI)
Model 1 - main effects
  Depression (yes)
1.4 (1.0-2.0)
  Val/Val
1.3 (1.0-1.8)
Model 2 – main and interaction effects
  Depression (yes)
1.2 (0.70-1.7)
  Val/Val
1.1 (0.80-1.6)
  Depression x Val158Met
2.2 (1.0-4.7)
  P-value (Model 2 versus Model 1)
0.10b
aRERI: the relative excess risk due to interaction
AP the attributable proportion due to interaction
S the synergy index
AP > 0 and S > 1 indicate additive interaction
bLog likelihood test (− 2 log likelihood: Model 1 = 1725.6; Model 2 = 1721.2)

Discussion

Depression is a known risk factor for CVD [3133]. The COMT Val158Met genetic variation influencing COMT enzyme activity has previously been associated with risk for depression [12], and risk for CVD [8, 13, 14]. The identity of the at risk allele has varied between studies, although a meta-analysis demonstrated high activity COMT Val allele as risk allele for depression. An influence of gender as well as childhood adversity on the Val158Met association with depression has previously been reported [15], although a recent meta-analysis found no Val158Met association to depression in any gender [16]. Using a large population-based Swedish cohort of adults we here show for the first time that the COMT Val158Met genotype, corresponding to high COMT enzymatic activity, implies an increased risk of CVD especially for those who had depression up to 14 years earlier. Thus, both an additive and a multiplicative interaction between depression and COMT Val158Met for risk of CVD were detected. Additionally, this risk of CVD by high COMT activity genotype and depression was more pronounced in women compared to men. Both mild and severe depression were considered, scored at two time points for each participant, and the original cohort was randomly selected among Swedish nationals in the Stockholm County.
There are previous reports demonstrating a relationship between COMT Val158Met and acute coronary events, ischemic stroke and CVD risk factors like hypertension and lipid abnormalities [13, 14, 34]. The results from these studies are however not fully consistent with regard to which allele implies a disease risk and the influence of depression on the relationship was not previously assessed. Hagen and coworkers reported that high COMT activity (Val/Val genotype) is overrepresented in male and female Norwegians with systolic hypertension (≥140 mmHg) (n = 2591) [34]. This finding was confirmed in a Chinese population (n = 3079) showing that high activity COMT (Val/Val) was associated with cardio -metabolic risk factors including hypertension and high triglyceride levels [35]. Accordingly, Eriksson et al. reported a protective effect of low activity COMT (Met/Met or Val/Met) against myocardial infarction in Swedish and Finnish hypertensive men (n = 522) [8]. Contrary to this, low activity COMT (Met/Met or Val/Met) was associated with acute coronary events in Finnish men (n = 792) [13], and with high systolic and diastolic blood pressure and abdominal obesity in Swedish men (n = 1302) [14]. The reason for the discrepancy in risk allele identity between the aforementioned studies is unclear but could in part be related to different ranges of estrogen levels, and thereby different gender and age distributions. Accordingly, we found that high activity COMT (Val/Val)*depression was associated with increased CVD risk in women, but not in men. This sex-based difference might partially be explained by the difference in estrogen activity between men and women. Estrogen plays an important role in the cardiovascular system and COMT is key in the degradation of estrogens. Thus, the association between COMT Val/Val and CVD in females might reflect altered levels of estrogen and its metabolites [8, 36]. Moreover, estrogen signaling influences COMT transcription through estrogen response elements in the COMT promoter [37, 38]. The COMT enzyme metabolizes also dopamine and catecholamines which regulate both mood and cardiovascular functions through wide-spread expression of their receptors. Therefore, our Val/Val-CVD association finding may partly be due to effects of COMT enzyme activity variation on the metabolism of these transmitters. The influence of depression on the Val/Val-CVD association may in part be through increased inflammation and oxidative stress often seen in the depressed state, [39] which could potentiate a high COMT enzyme activity effect on cardiovascular function. Of the individuals in PART 11% had a non-Swedish origin, among those the vast majority had a Nordic origin. The Swedish population at time of sampling had no strong internal genetic borders [40] and especially the southern/middle parts of Sweden (from where the participants of this study are derived) were more genetically homogeneous [41].

Limitations

Firstly, due to the self-administered sampling at home, the depression cases that participated did likely not represent those most severely depressed. Secondly, only 42% provided DNA samples. Factors associated with public refusal to consent to DNA biobanking in the PART have been reported and reveal that, a lack of personal relevance of DNA contribution and feelings of discomfort related to the DNA being used for purposes other than the respective study were the reasons for low participation [42] The association between depression and risk of later CVD is unlikely influenced by refusal to consent to DNA biobanking. Another limitation of the study is that we did not have individual data on psychotropic drugs medication. Antipsychotic drugs are known to increase risk for CVD [43]. Also, we did not include data from the cause of death register and the outpatient register, hence we might have missed those who died or visited outpatient department due to IHD or stroke without prior hospitalizations.

Conclusion

The risk for later CVD was increased in depressed persons with high activity COMT Val158Met genotype (Val/Val), with a synergistic interaction between depression status and COMT genotype. This effect on risk for CVD was higher in women and might in part reflect estrogen signaling. The findings warrant further studies.

Funding

Funding for establishing the PART cohort data collection was provided by the Swedish Research Council, the Stockholm County Council and the Karolinska Institutet Faculty Funds (to YF). Funding of this particular study was provided by the regional agreement on medical training and clinical research between Stockholm County Council and Karolinska Institutet (CL), the Swedish research Council (CL) and Karolinska Institutet Foundation funds (JM). The PhD student (AA) was provided support by Faculty Development Award, Aga Khan University Karachi, Pakistan. The funding agencies had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Availability of data and materials

The datasets generated and/or analyzed during the current study are not publicly available due to confidentiality but are in part available from Catharina Lavebratt upon a reasonable request.
Research has been performed in accordance with the Declaration of Helsinki. The Ethical Review Board at Karolinska Institutet, Stockholm, approved the study (case number: 96-260, 97-313, 01–218, 03-302, 04–528/3 09/880-31, 2012/808-32). Written informed consent to participate in the study was obtained from participants.
“Not applicable”

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
2.
Zurück zum Zitat Pan A, Sun Q, Okereke OI, Rexrode KM, Hu FB. Depression and risk of stroke morbidity and mortality: a meta-analysis and systematic review. JAMA. 2011;306(11):1241–9.CrossRefPubMedPubMedCentral Pan A, Sun Q, Okereke OI, Rexrode KM, Hu FB. Depression and risk of stroke morbidity and mortality: a meta-analysis and systematic review. JAMA. 2011;306(11):1241–9.CrossRefPubMedPubMedCentral
3.
Zurück zum Zitat Di Chiara G, Bassareo V, Fenu S, De Luca MA, Spina L, Cadoni C, et al. Dopamine and drug addiction: the nucleus accumbens shell connection. Neuropharmacology. 2004;47(Suppl 1):227–41.CrossRefPubMed Di Chiara G, Bassareo V, Fenu S, De Luca MA, Spina L, Cadoni C, et al. Dopamine and drug addiction: the nucleus accumbens shell connection. Neuropharmacology. 2004;47(Suppl 1):227–41.CrossRefPubMed
4.
Zurück zum Zitat Tunbridge EM, Harrison PJ, Weinberger DR. Catechol-o-methyltransferase, cognition, and psychosis: Val158Met and beyond. Biol Psychiatry. 2006;60(2):141–51.CrossRefPubMed Tunbridge EM, Harrison PJ, Weinberger DR. Catechol-o-methyltransferase, cognition, and psychosis: Val158Met and beyond. Biol Psychiatry. 2006;60(2):141–51.CrossRefPubMed
5.
Zurück zum Zitat Jose PA, Eisner GM, Felder RA. Regulation of blood pressure by dopamine receptors. Nephron Physiol. 2003;95(2):p19–27.CrossRefPubMed Jose PA, Eisner GM, Felder RA. Regulation of blood pressure by dopamine receptors. Nephron Physiol. 2003;95(2):p19–27.CrossRefPubMed
6.
Zurück zum Zitat Esler MD. Catecholamines and essential hypertension. Bailliere Clin Endocrinol Metab. 1993;7(2):415–38.CrossRef Esler MD. Catecholamines and essential hypertension. Bailliere Clin Endocrinol Metab. 1993;7(2):415–38.CrossRef
7.
Zurück zum Zitat Lohmeier TE. The sympathetic nervous system and long-term blood pressure regulation. Am J Hypertens. 2001;14(6 Pt 2):147S–54S.CrossRefPubMed Lohmeier TE. The sympathetic nervous system and long-term blood pressure regulation. Am J Hypertens. 2001;14(6 Pt 2):147S–54S.CrossRefPubMed
9.
Zurück zum Zitat Lachman HM, Papolos DF, Saito T, Yu YM, Szumlanski CL, Weinshilboum RM. Human catechol-O-methyltransferase pharmacogenetics: description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics. 1996;6(3):243–50.CrossRefPubMed Lachman HM, Papolos DF, Saito T, Yu YM, Szumlanski CL, Weinshilboum RM. Human catechol-O-methyltransferase pharmacogenetics: description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics. 1996;6(3):243–50.CrossRefPubMed
10.
Zurück zum Zitat Chen J, Lipska BK, Halim N, Ma QD, Matsumoto M, Melhem S, et al. Functional analysis of genetic variation in catechol-O-methyltransferase (COMT): effects on mRNA, protein, and enzyme activity in postmortem human brain. Am J Hum Genet. 2004;75(5):807–21.CrossRefPubMedPubMedCentral Chen J, Lipska BK, Halim N, Ma QD, Matsumoto M, Melhem S, et al. Functional analysis of genetic variation in catechol-O-methyltransferase (COMT): effects on mRNA, protein, and enzyme activity in postmortem human brain. Am J Hum Genet. 2004;75(5):807–21.CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Wang M, Ma Y, Yuan W, Su K, Li MD. Meta-Analysis of the COMT Val158Met Polymorphism in Major Depressive Disorder: Effect of Ethnicity. J Neuroimmune Pharmacol. 11(3):434–45. Wang M, Ma Y, Yuan W, Su K, Li MD. Meta-Analysis of the COMT Val158Met Polymorphism in Major Depressive Disorder: Effect of Ethnicity. J Neuroimmune Pharmacol. 11(3):434–45.
12.
Zurück zum Zitat Baekken PM, Skorpen F, Stordal E, Zwart JA, Hagen K. Depression and anxiety in relation to catechol-O-methyltransferase Val158Met genotype in the general population: the Nord-Trondelag health study (HUNT). BMC Psychiatry. 2008;8:48.CrossRefPubMedPubMedCentral Baekken PM, Skorpen F, Stordal E, Zwart JA, Hagen K. Depression and anxiety in relation to catechol-O-methyltransferase Val158Met genotype in the general population: the Nord-Trondelag health study (HUNT). BMC Psychiatry. 2008;8:48.CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Voutilainen S, Tuomainen TP, Korhonen M, Mursu J, Virtanen JK, Happonen P, et al. Functional COMT Val158Met polymorphism, risk of acute coronary events and serum homocysteine: the Kuopio ischaemic heart disease risk factor study. PLoS One. 2007;2(1):e181.CrossRefPubMedPubMedCentral Voutilainen S, Tuomainen TP, Korhonen M, Mursu J, Virtanen JK, Happonen P, et al. Functional COMT Val158Met polymorphism, risk of acute coronary events and serum homocysteine: the Kuopio ischaemic heart disease risk factor study. PLoS One. 2007;2(1):e181.CrossRefPubMedPubMedCentral
14.
Zurück zum Zitat Annerbrink K, Westberg L, Nilsson S, Rosmond R, Holm G, Eriksson E. Catechol O-methyltransferase val158-met polymorphism is associated with abdominal obesity and blood pressure in men. Metabolism. 2008;57(5):708–11.CrossRefPubMed Annerbrink K, Westberg L, Nilsson S, Rosmond R, Holm G, Eriksson E. Catechol O-methyltransferase val158-met polymorphism is associated with abdominal obesity and blood pressure in men. Metabolism. 2008;57(5):708–11.CrossRefPubMed
8.
Zurück zum Zitat Eriksson AL, Skrtic S, Niklason A, Hulten LM, Wiklund O, Hedner T, et al. Association between the low activity genotype of catechol-O-methyltransferase and myocardial infarction in a hypertensive population. Eur Heart J. 2004;25(5):386–91.CrossRefPubMed Eriksson AL, Skrtic S, Niklason A, Hulten LM, Wiklund O, Hedner T, et al. Association between the low activity genotype of catechol-O-methyltransferase and myocardial infarction in a hypertensive population. Eur Heart J. 2004;25(5):386–91.CrossRefPubMed
15.
Zurück zum Zitat Aberg E, Fandino-Losada A, Sjoholm LK, Forsell Y, Lavebratt C. The functional Val158Met polymorphism in catechol-O-methyltransferase (COMT) is associated with depression and motivation in men from a Swedish population-based study. J Affect Disord. 2011;129(1–3):158–66.CrossRefPubMed Aberg E, Fandino-Losada A, Sjoholm LK, Forsell Y, Lavebratt C. The functional Val158Met polymorphism in catechol-O-methyltransferase (COMT) is associated with depression and motivation in men from a Swedish population-based study. J Affect Disord. 2011;129(1–3):158–66.CrossRefPubMed
16.
Zurück zum Zitat Klein M, Schmoeger M, Kasper S, Schosser A. Meta-analysis of the COMT Val158Met polymorphism in major depressive disorder: the role of gender. World J Biol Psychiatry. 2016;17(2):147–58. Klein M, Schmoeger M, Kasper S, Schosser A. Meta-analysis of the COMT Val158Met polymorphism in major depressive disorder: the role of gender. World J Biol Psychiatry. 2016;17(2):147–58.
17.
Zurück zum Zitat Lundberg I, Damstrom Thakker K, Hallstrom T, Forsell Y. Determinants of non-participation, and the effects of non-participation on potential cause-effect relationships, in the PART study on mental disorders. Soc Psychiatry Psychiatr Epidemiol. 2005;40(6):475–83.CrossRefPubMed Lundberg I, Damstrom Thakker K, Hallstrom T, Forsell Y. Determinants of non-participation, and the effects of non-participation on potential cause-effect relationships, in the PART study on mental disorders. Soc Psychiatry Psychiatr Epidemiol. 2005;40(6):475–83.CrossRefPubMed
18.
Zurück zum Zitat Bergman P, Ahlberg G, Forsell Y, Lundberg I. Non-participation in the second wave of the PART study on mental disorder and its effects on risk estimates. Int J Soc Psychiatry. 2010;56(2):119–32.CrossRefPubMed Bergman P, Ahlberg G, Forsell Y, Lundberg I. Non-participation in the second wave of the PART study on mental disorder and its effects on risk estimates. Int J Soc Psychiatry. 2010;56(2):119–32.CrossRefPubMed
19.
Zurück zum Zitat Forsberg L RH, Jacobsson A, Nyqvist K, Heurgren M: Kvalitet och innehåll i patientregistret. Utskrivningar från slutenvården 1964–2007 och besök i specialiserad öppenvård (exklusive primärvårdsbesök) 1997–2007. (Quality and content of the Patient Register)(2009–125-15). . ed.^eds E, editor2009. Forsberg L RH, Jacobsson A, Nyqvist K, Heurgren M: Kvalitet och innehåll i patientregistret. Utskrivningar från slutenvården 1964–2007 och besök i specialiserad öppenvård (exklusive primärvårdsbesök) 1997–2007. (Quality and content of the Patient Register)(2009–125-15). . ed.^eds E, editor2009.
20.
Zurück zum Zitat Bech P, Rasmussen NA, Olsen LR, Noerholm V, Abildgaard W. The sensitivity and specificity of the major depression inventory, using the present state examination as the index of diagnostic validity. J Affect Disord. 2001;66(2–3):159–64.CrossRefPubMed Bech P, Rasmussen NA, Olsen LR, Noerholm V, Abildgaard W. The sensitivity and specificity of the major depression inventory, using the present state examination as the index of diagnostic validity. J Affect Disord. 2001;66(2–3):159–64.CrossRefPubMed
21.
Zurück zum Zitat Cuijpers P, Dekker J, Noteboom A, Smits N, Peen J. Sensitivity and specificity of the Major Depression Inventory in outpatients. BMC Psychiatry. 2007;7(1). Cuijpers P, Dekker J, Noteboom A, Smits N, Peen J. Sensitivity and specificity of the Major Depression Inventory in outpatients. BMC Psychiatry. 2007;7(1).
22.
Zurück zum Zitat Olsen LR, Jensen DV, Noerholm V, Martiny K, Bech P. The internal and external validity of the Major Depression Inventory in measuring severity of depressive states. Psychol Med. 2003;33(2):351–6. Olsen LR, Jensen DV, Noerholm V, Martiny K, Bech P. The internal and external validity of the Major Depression Inventory in measuring severity of depressive states. Psychol Med. 2003;33(2):351–6.
23.
Zurück zum Zitat Forsell Y. The major depression inventory versus schedules for clinical assessment in neuropsychiatry in a population sample. Soc Psychiatry Psychiatr Epidemiol. 2005;40(3):209–13.CrossRefPubMed Forsell Y. The major depression inventory versus schedules for clinical assessment in neuropsychiatry in a population sample. Soc Psychiatry Psychiatr Epidemiol. 2005;40(3):209–13.CrossRefPubMed
24.
Zurück zum Zitat Nilsson AC, Spetz CL, Carsjo K, Nightingale R, Smedby B. [Reliability of the hospital registry. The diagnostic data are better than their reputation]. Lakartidningen. 1994;91(7):598, 603–605. Nilsson AC, Spetz CL, Carsjo K, Nightingale R, Smedby B. [Reliability of the hospital registry. The diagnostic data are better than their reputation]. Lakartidningen. 1994;91(7):598, 603–605.
25.
Zurück zum Zitat Rothman KJ, Greenland S, Walker AM. Concepts of interaction. Am J Epidemiol. 1980;112(4):467–70.CrossRefPubMed Rothman KJ, Greenland S, Walker AM. Concepts of interaction. Am J Epidemiol. 1980;112(4):467–70.CrossRefPubMed
26.
Zurück zum Zitat Knol MJ, VanderWeele TJ, Groenwold RH, Klungel OH, Rovers MM, Grobbee DE. Estimating measures of interaction on an additive scale for preventive exposures. Eur J Epidemiol. 2011;26(6):433–8.CrossRefPubMedPubMedCentral Knol MJ, VanderWeele TJ, Groenwold RH, Klungel OH, Rovers MM, Grobbee DE. Estimating measures of interaction on an additive scale for preventive exposures. Eur J Epidemiol. 2011;26(6):433–8.CrossRefPubMedPubMedCentral
27.
Zurück zum Zitat Padyukov L, Silva C, Stolt P, Alfredsson L, Klareskog L. A gene-environment interaction between smoking and shared epitope genes in HLA-DR provides a high risk of seropositive rheumatoid arthritis. Arthritis Rheum. 2004;50(10):3085–92.CrossRefPubMed Padyukov L, Silva C, Stolt P, Alfredsson L, Klareskog L. A gene-environment interaction between smoking and shared epitope genes in HLA-DR provides a high risk of seropositive rheumatoid arthritis. Arthritis Rheum. 2004;50(10):3085–92.CrossRefPubMed
28.
Zurück zum Zitat Rothman KJ, Greenland S, Lash TL. Modern epidemiology: Lippincott Williams & Wilkins; 2008. Rothman KJ, Greenland S, Lash TL. Modern epidemiology: Lippincott Williams & Wilkins; 2008.
29.
Zurück zum Zitat Maity A. A Powerful Test for Comparing Multiple Regression Functions. J Nonparametr Stat. 24(3):563–76. Maity A. A Powerful Test for Comparing Multiple Regression Functions. J Nonparametr Stat. 24(3):563–76.
30.
Zurück zum Zitat Greenland S. Basic problems in interaction assessment. Environ Health Perspect. 1993;101 Suppl 4:59–66. Greenland S. Basic problems in interaction assessment. Environ Health Perspect. 1993;101 Suppl 4:59–66.
31.
Zurück zum Zitat Almas A, Forsell Y, Iqbal R, Janszky I, Moller J. Severity of depression, anxious distress and the risk of cardiovascular disease in a Swedish population-based cohort. PLoS One. 2015;10(10):e0140742.CrossRefPubMedPubMedCentral Almas A, Forsell Y, Iqbal R, Janszky I, Moller J. Severity of depression, anxious distress and the risk of cardiovascular disease in a Swedish population-based cohort. PLoS One. 2015;10(10):e0140742.CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat Brunner EJ, Shipley MJ, Britton AR, Stansfeld SA, Heuschmann PU, Rudd AG, et al. Depressive disorder, coronary heart disease, and stroke: dose-response and reverse causation effects in the Whitehall II cohort study. Eur J Prev Cardiol. 2014;21(3):340–6.CrossRefPubMed Brunner EJ, Shipley MJ, Britton AR, Stansfeld SA, Heuschmann PU, Rudd AG, et al. Depressive disorder, coronary heart disease, and stroke: dose-response and reverse causation effects in the Whitehall II cohort study. Eur J Prev Cardiol. 2014;21(3):340–6.CrossRefPubMed
33.
Zurück zum Zitat Van der Kooy K, van Hout H, Marwijk H, Marten H, Stehouwer C, Beekman A. Depression and the risk for cardiovascular diseases: systematic review and meta analysis. Int J Geriatr Psychiatry. 2007;22(7):613–26.CrossRefPubMed Van der Kooy K, van Hout H, Marwijk H, Marten H, Stehouwer C, Beekman A. Depression and the risk for cardiovascular diseases: systematic review and meta analysis. Int J Geriatr Psychiatry. 2007;22(7):613–26.CrossRefPubMed
34.
Zurück zum Zitat Hagen K, Pettersen E, Stovner LJ, Skorpen F, Holmen J, Zwart JA. High systolic blood pressure is associated with Val/Val genotype in the catechol-o-methyltransferase gene. The Nord-Trondelag health study (HUNT). Am J Hypertens. 2007;20(1):21–6.CrossRefPubMed Hagen K, Pettersen E, Stovner LJ, Skorpen F, Holmen J, Zwart JA. High systolic blood pressure is associated with Val/Val genotype in the catechol-o-methyltransferase gene. The Nord-Trondelag health study (HUNT). Am J Hypertens. 2007;20(1):21–6.CrossRefPubMed
35.
Zurück zum Zitat Ge L, Wu HY, Pan SL, Huang L, Sun P, Liang QH, et al. COMT Val158Met polymorphism is associated with blood pressure and lipid levels in general families of Bama longevous area in China. Int J Clin Exp Pathol. 8(11):15055–64. Ge L, Wu HY, Pan SL, Huang L, Sun P, Liang QH, et al. COMT Val158Met polymorphism is associated with blood pressure and lipid levels in general families of Bama longevous area in China. Int J Clin Exp Pathol. 8(11):15055–64.
36.
Zurück zum Zitat Hsieh YC, Jeng JS, Lin HJ, Hu CJ, Yu CC, Lien LM, et al. Epistasis analysis for estrogen metabolic and signaling pathway genes on young ischemic stroke patients. PLoS One. 2012;7(10):e47773.CrossRefPubMedPubMedCentral Hsieh YC, Jeng JS, Lin HJ, Hu CJ, Yu CC, Lien LM, et al. Epistasis analysis for estrogen metabolic and signaling pathway genes on young ischemic stroke patients. PLoS One. 2012;7(10):e47773.CrossRefPubMedPubMedCentral
37.
Zurück zum Zitat Jiang H, Xie T, Ramsden DB, Ho SL. Human catechol-O-methyltransferase down-regulation by estradiol. Neuropharmacology. 2003;45(7):1011–8.CrossRefPubMed Jiang H, Xie T, Ramsden DB, Ho SL. Human catechol-O-methyltransferase down-regulation by estradiol. Neuropharmacology. 2003;45(7):1011–8.CrossRefPubMed
38.
Zurück zum Zitat Xie T, Ho SL, Ramsden D. Characterization and implications of estrogenic down-regulation of human catechol-O-methyltransferase gene transcription. Mol Pharmacol. 1999;56(1):31–8.CrossRefPubMed Xie T, Ho SL, Ramsden D. Characterization and implications of estrogenic down-regulation of human catechol-O-methyltransferase gene transcription. Mol Pharmacol. 1999;56(1):31–8.CrossRefPubMed
39.
Zurück zum Zitat Dowlati Y, Herrmann N, Swardfager W, Liu H, Sham L, Reim EK, et al. A meta-analysis of cytokines in major depression. Biol Psychiatry. 2010;67(5):446–57.CrossRefPubMed Dowlati Y, Herrmann N, Swardfager W, Liu H, Sham L, Reim EK, et al. A meta-analysis of cytokines in major depression. Biol Psychiatry. 2010;67(5):446–57.CrossRefPubMed
40.
Zurück zum Zitat Lappalainen T, Hannelius U, Salmela E, von Dobeln U, Lindgren CM, Huoponen K, et al. Population structure in contemporary Sweden--a Y-chromosomal and mitochondrial DNA analysis. Ann Hum Genet. 2009;73(1):61–73.CrossRefPubMed Lappalainen T, Hannelius U, Salmela E, von Dobeln U, Lindgren CM, Huoponen K, et al. Population structure in contemporary Sweden--a Y-chromosomal and mitochondrial DNA analysis. Ann Hum Genet. 2009;73(1):61–73.CrossRefPubMed
41.
42.
Zurück zum Zitat Melas PA, Sjoholm LK, Forsner T, Edhborg M, Juth N, Forsell Y, et al. Examining the public refusal to consent to DNA biobanking: empirical data from a Swedish population-based study. J Med Ethics. 2010;36(2):93–8.CrossRefPubMed Melas PA, Sjoholm LK, Forsner T, Edhborg M, Juth N, Forsell Y, et al. Examining the public refusal to consent to DNA biobanking: empirical data from a Swedish population-based study. J Med Ethics. 2010;36(2):93–8.CrossRefPubMed
43.
Zurück zum Zitat Kahl KG, Westhoff-Bleck M. Kruger THC. Vascul Pharmacol: Effects of psychopharmacological treatment with antipsychotic drugs on the vascular system; 2017. Kahl KG, Westhoff-Bleck M. Kruger THC. Vascul Pharmacol: Effects of psychopharmacological treatment with antipsychotic drugs on the vascular system; 2017.
Metadaten
Titel
Association of Catechol-O-methyltransferase (COMT Val158Met) with future risk of cardiovascular disease in depressed individuals - a Swedish population-based cohort study
verfasst von
Aysha Almas
Yvonne Forsell
Vincent Millischer
Jette Möller
Catharina Lavebratt
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
BMC Medical Genetics / Ausgabe 1/2018
Elektronische ISSN: 1471-2350
DOI
https://doi.org/10.1186/s12881-018-0645-2

Weitere Artikel der Ausgabe 1/2018

BMC Medical Genetics 1/2018 Zur Ausgabe