- Research article
- Open Access
- Open Peer Review
The impact of the Catechol-O-methyltransferase Val158Met polymorphism on survival in the general population – the HUNT study
https://doi.org/10.1186/1471-2350-8-34
© Hagen et al; licensee BioMed Central Ltd. 2007
- Received: 20 October 2006
- Accepted: 19 June 2007
- Published: 19 June 2007
Abstract
Background
The catechol-O-methyltransferase (COMT) gene contains a functional polymorphism, Val158Met which has been related to common diseases like cancer, psychiatric illness and myocardial infarction. Whether the Val158Met polymorphism is associated with survival has not been evaluated in the general population. The aim of this prospective study was to evaluate the impact of codon 158 COMT gene polymorphism on survival in a population-based cohort.
Methods
The sample comprised 2979 non-diabetic individuals who participated in the Nord-Trøndelag Health Study (HUNT) in the period 1995–97. The subjects were followed up with respect to mortality throughout year 2004.
Results
212 men and 183 women died during the follow up. No association between codon 158 COMT gene polymorphism and survival was found. The unadjusted relative risk of death by non-ischemic heart diseases with Met/Met or Met/Val genotypes was 3.27 (95% confidence interval, 1.19–9.00) compared to Val/Val genotype. When we adjusted for age, gender, smoking, coffee intake and body mass index the relative risk decreased to 2.89 (95% confidence interval, 1.04–8.00).
Conclusion
During 10 year of follow-up, the Val158Met polymorphism had no impact on survival in a general population. Difference in mortality rates from non-ischemic heart diseases may be incidental and should be evaluated in other studies.
Keywords
- COMT Gene
- Val158Met Polymorphism
- Coffee Intake
- COMT Genotype
- COMT Val158Met
Background
The catechol-O-methyltransferase (COMT) gene located at chromosome 22q11.2 contains a functional polymorphism at codon 158 that has been the subject of several molecular epidemiological studies because of the important role of the COMT enzyme in the metabolism of catecholamines and catechol estrogens. A substitution of valine (Val) by methionine (Met) at codon 158 affects the activity of the COMT enzyme, and individuals with the Val/Val genotype have a three- to fourfold higher activity of the COMT enzyme than those with Met/Met genotype [1].
The Val158Met polymorphism has been linked to e.g. psychiatric disorders and pain perception [2–4], and several epidemiological studies have also reported an association to several potential fatal disorders. Presence of the Val/Val genotype has been considered to be favorable because it seems to lower the risk of developing non-Hodgkin lymphoma and estrogen-associated cancers in women [5–7], and because it is associated with a higher tendency to remain free from increase in prostate-specific antigen in men with prostate cancer [8]. Men with Val/Val genotype may also be less likely to commit suicide [9], and the Val allele has proved to be associated with less aggressive behaviors or violent suicide attempts in schizophrenic patients [10, 11]. On the other hand, the Val/Val genotype seems to give a higher risk of myocardial infarction among hypertensive patients [12], and it has also been associated with high systolic blood pressure [13].
Despite the large number of studies evaluating the relationship between Val158Met polymorphism and diseases, the influence of this polymorphism on survival has not been evaluated. The aim of this prospective study was to evaluate the impact of codon 158 COMT gene polymorphism on survival in a population-based cohort.
Results
Primers and hybridization probes used for COMT Val158Met genotyping
Sequence | |
|---|---|
Primers: | Forward 5'-ACGCCGTGATTCAGGAGCA-3' |
Reverse 5'-GTCTTTCCTCAGCCCCAG-3' | |
Probes: | Sensor 5'-TCACGCCAGCGAAATCCA-Fl*-3' |
Anchor 5' LC Red 640#-ATCCGCTGGGTGATGGCG-3' |
Clinical characteristics of the subjects according to COMT genotypes.
Characteristics | No COMT genotyping (n = 62,247) | Met/Met (n = 951) | Met/Val (n = 1482) | Val/Val (n = 546) |
|---|---|---|---|---|
Sex, female (%) | 53.2 | 54.0 | 55.1 | 55.1 |
Age, mean (SD) | 49.1(18.9)$ | 52.8 (18.3) | 52.7 (18.2) | 52.1 (18.0) |
Education > 12 years (%) | 19.0 | 17.4 | 15.7 | 16.7 |
Mean systolic blood pressure (mmHg)(SD) | 137.6 (22.3)$ | 140.9 (22.2) | 140.4 (22.6) | 141.6 (22.9) |
Mean diastolic blood pressure (mmHg)(SD) | 80.2 (12.5)$ | 81.7 (12.4) | 81.0 (12.6) | 82.3 (12.9) |
Body mass index, kg/m2 (SD) | 26.4 (4.1) | 26.3 (4.2) | 26.4 (4.1) | 26.3 (4.2) |
Cholesterol, mmol (SD) | 5.89(1.26)$ | 6.02 (1.31) | 6.03 (1.30) | 6.08 (1.37) |
Current smoking (%) | 29.0 | 28.0 | 29.6 | 29.0 |
High level of physical activity* (%) | 24.1 | 19.9 | 18.7 | 20.1 |
Coffee intake > 6 cups/day (%) | 20.1 | 19.6 | 18.6 | 19.0 |
Use of antihypertensive medication (%) | 11.0 | 12.6 | 13.3 | 11.2 |
Myocardial infarction (%) | 3.3 | 3.7 | 3.5 | 2.8 |
Angina pectoris (%) | 5.0 | 6.9 | 7.1 | 5.9 |
Stroke (%) | 1.9 | 2.5 | 1.6 | 1.8 |
Overall mortality
Mortality from various causes by January 1, 2005 related to COMT genotypes and 5- and 10-year survival.
Met/Met (n = 951) | Met/Val (n = 1482) | Val/Val (n = 546) | 5-year survival | 10-year survival | ||||
|---|---|---|---|---|---|---|---|---|
n | % | n | % | n | % | p* | p* | |
Genotypes | ||||||||
Total deaths | 129 | 32.7 | 197 | 49.8 | 69 | 17.5 | 0.77 | 0.87 |
Neoplasms (C00-D48) | 35 | 33.3 | 52 | 49.5 | 18 | 17.1 | 0.97 | 0.93 |
Cardiovascular causes (I00-I99) | 58 | 31.9 | 92 | 50.5 | 32 | 17.6 | 0.47 | 0.96 |
All other causes | 36 | 33.3 | 53 | 49.1 | 19 | 17.6 | 0.72 | 0.94 |
Alleles | Met | Val | ||||||
Total deaths | 455 | 57.6 | 335 | 42.4 | 0.35 | 0.63 | ||
Neoplasms (C00-D48) | 122 | 58.1 | 88 | 41.9 | 0.74 | 0.48 | ||
Cardiovascular causes (I00-I99) | 208 | 57.1 | 156 | 42.9 | 0.30 | 0.57 | ||
All other causes | 125 | 57.9 | 91 | 42.1 | 0.98 | 0.51 | ||
Survival curves for different genotypes. Log-rank test: p = 0.87.
Death caused by neoplasms (ICD-10 C00-D48)
Causes of death according to COMT genotypes
Met/Met (n = 951) | Met/Val (n = 1482) | Val/Val (n = 546) | Val/Val vs. other genotypes | ||||
|---|---|---|---|---|---|---|---|
n | % | n | % | n | % | Log-rank p value | |
Neoplasms (C00-D48) | 35 | 3.7 | 52 | 3.5 | 18 | 3.3 | 0.74 |
Cancers in the digestive system (C00-C26) | 14 | 1.5 | 14 | 0.9 | 4 | 0.7 | 0.39 |
Cancer in the respiratory system (C30-C39) | 6 | 0.6 | 11 | 0.7 | 1 | 0.2 | 0.23 |
Breast cancer/cancer in female genital organs (C50-C58) | 2 | 0.2 | 2 | 0.1 | 1 | 0.2 | 1.00 |
Prostate cancer (C61) | 5 | 0.5 | 10 | 0.7 | 6 | 1.1 | 0.24 |
All other neoplasms | 8 | 0.8 | 15 | 1.0 | 6 | 1.1 | 0.92 |
Cardiovascular causes (I00-I99) | 58 | 6.1 | 92 | 6.2 | 32 | 5.9 | 0.77 |
Ischemic heart diseases (I20-I25) | 29 | 3.0 | 43 | 2.9 | 15 | 2.7 | 0.78 |
Non-ischemic heart diseases (I30-I33 and I39-I52)# | 12 | 1.3 | 20 | 1.3 | 2 | 0.4 | 0.06 |
Cerebrovascular diseases (I60-I69) | 10 | 1.1 | 19 | 1.3 | 9 | 1.6 | 0.39 |
All other vascular deaths | 7 | 0.7 | 10 | 0.7 | 6 | 1.1 | 0.33 |
Sudden death (R96) | 1 | 0.1 | 3 | 0.2 | 1 | 0.2 | 0.92 |
Accidents (V01-V99, W00-W99, and X00-X99) | 7 | 0.7 | 10 | 0.7 | 5 | 0.9 | 0.87 |
Dementia (F03, G30, and R54) | 7 | 0.7 | 6 | 0.4 | 1 | 0.2 | 0.49 |
Diseases of the respiratory system (J00-J99) | 12 | 1.3 | 13 | 0.9 | 5 | 0.9 | 0.95 |
Diseases of the digestive system (K00-K93) | 3 | 0.3 | 7 | 0.5 | 4 | 0.7 | 0.33 |
Diseases of the kidney and ureter (N00-99) | 3 | 0.3 | 5 | 0.3 | 0 | 0 | 0.31 |
Other diseases* | 3 | 0.3 | 9 | 0.6 | 3 | 0.5 | 0.87 |
Cardiovascular causes (ICD-10 I00-I00)
Survival curves for different genotypes considering only death from non-ischemic heart diseases (I30-I33, I39-I52). Log-rank test for Val/Val versus other genotypes: p = 0.015.
Mortality among 69 with self-reported diabetes mellitus
During the 10 year follow up the overall mortality was more than three times higher among the excluded 69 individuals with self-reported diabetes mellitus than among the included sample of 2979 non-diabetic subjects (47.8% versus 13.3%, p < 0.001). However, our results were not substantially changed when we repeated the analyses including these 69 diabetic persons. Specifically, out of the 33 diabetic who died during the follow up, a total of 6 had non-ischemic heart diseases as underlying (n = 3) or immediate cause (n = 3) of death. Even when these were included, subjects with Val/Val had lower mortality rates (n = 6) than those with the Met/Val or Met/Met genotypes (n = 62) (p = 0.04, rank-log test).
Discussion
In this population-based sample of individuals the Val158Met polymorphism at the COMT gene had no impact on survival in general.
The strength of this study was the prospective cohort design which provides a valuable complement to case-control studies and with ability to adjust for potential confounding factors [19]. Furthermore, the COMT genotyping was performed in a random sample of individuals drawn from a genetically homogenous white Norwegian population and being unselected except from the fact that they did not have diabetes. Less than 3 percent of subjects were of non-white ethnicity. Bias caused by admixed ethnicities may be reduced in population-based studies when a genetically homogenous population is investigated.
The majority of included participants were selected completely at random, but were mixed together with a non-diabetic group that were age-matched controls for the purpose of a different genetic study on diabetes. It would have been preferable to perform the analyses on a completely random selected population, including both diabetic and non-diabetic persons, but this strategy was not possible because of the format of the data file. Because diabetes status was a selection criterion for approximately 30 percent of the sample, we decided to exclude 69 individuals with diabetes mellitus, making the whole group more homogenous. Individuals with Val/Val seem to be less likely to be diabetic [16]. If true, because of a high mortality rate among those with diabetes, the Val/Val genotype should be associated with lower mortality rates. On the other hand, one might speculatively assume that diabetic individuals with Val/Val genotype have a less favorable prognosis and higher mortality than diabetics with other genotypes. Thus, how the Val158Met polymorphism influences on mortality among persons with diabetes mellitus is difficult to predict, but our exclusion of the 69 persons with self-reported diabetes probably minimize the risk of bias. However, the main results were not substantially changed when the analyses were repeated including these 69 diabetic persons.
Our sample of 2979 individuals should have enough power to detect a difference in survival between genotypes that is of clinical interest, even when considering smaller subgroups deceased because of neoplasms or heart diseases. However, the number of individuals who died from accidents, suicide, prostate cancer, non-Hodgkin lymphoma, breast cancer or cancer in female genital organs was very low. For such relatively rare causes of death the impact of Val158Met polymorphism needs to be evaluated with other study designs. An example of this is a prospective study from United Kingdom of 2430 women with breast cancer reporting no effect on survival from polymorphisms in the COMT gene [20].
In the present study no association between overall cardiovascular mortality and Val158Met polymorphism was found. However, when the Met/Met and Val/Met genotypes were pooled, individuals with Val/Val genotype tended to be less likely to die because of heart diseases classified as I30-I33 or I39-I52 compared to those with other genotypes, and the difference was significant even when we controlled for the most important confounding factors. It should be noted that this result may be due to chance because of the multiple hypotheses being tested. Hence, the association between the Val/Val genotype and death from non-ischemic heart disease should be confirmed in a lager study.
Val/Val genotype is associated with high COMT enzyme activity, and speculatively, rapid metabolism of circulating catecholamines may be protective for some type of heart diseases e.g. the arrhythmias. Theoretically, haplotypes of the COMT gene may influence COMT activity. However, because of lack of financial and personnel resources we did not evaluated other single nucleotide polymorphisms within the COMT gene or in other genes, and as a consequence, we did not have the opportunity to evaluate haplotypes of the COMT gene or possible interaction with other genes.
Few other studies have evaluated the influence of COMT genotypes on heart diseases. In accordance with our study, in a Finnish cohort of 773 men, Met/Met genotype and heavy coffee intake was associated with higher incidence of acute coronary events than those with other genotypes [16]. In contrast to our findings, a Swedish study found the Met/Met genotype to be associated with decreased risk of myocardial infarction, but this study was performed in a highly selected group of hypertensive individuals [12].
Conclusion
In this population-based study evaluating the impact of the COMT Val158Met polymorphism on survival among 2,979 adults, the polymorphism had no influence on total mortality.
Methods
Study population
Between August 1995 and June 1997, all inhabitants aged 20 years or older in Nord-Trøndelag county in Norway (n = 92,936) were invited to participate in the Nord-Trøndelag Health Survey ("Helseundersøkelsen i Nord-Trøndelag" = HUNT). In brief, two questionnaires including more than 200 health-related questions were administrated to the participants. The population in Nord-Trøndelag County was ethnically homogeneous (less than 3 percent of subjects were of non-white ethnicity), making it suitable for epidemiological genetic research [14].
Out of the 92,936 invited individuals, a total of 65,291 subjects (70 percent) answered the first questionnaire and participated in the health examination. Details of the non-participants are described elsewhere [14, 15].
In the HUNT 2 biobank a total of 60,241 DNA samples were available. Genotyping of the COMT locus was performed among 3048 individuals. Approximately 70 percent were selected completely at random, whereas the remaining 30 percent included had been randomly selected among an older group of individuals who did not have self-reported diabetes mellitus. This latter group was generated in connection with a planned genetic study on diabetes that needed age-matched controls to a diabetic population. In the present sample the prevalence of self-reported diabetes mellitus was slightly lower among individuals with Val/Val genotype than the other genotypes (2.0% versus 2.3%, p = 0.61), and also in a Finnish study individuals with Val/Val were less likely to be diabetic [16]. In the unidentified data file all participants were mixed, and separate analyses of the group selected completely by random was not possible. Thus, with intention to have a homogeneous study cohort, those with self-reported diabetes (n = 69) in the randomly selected group were eliminated [13], resulting in a population of 2979 individuals for the final analysis. All age groups were included, but because the age-matched controls to a diabetic population as a group are older than the general population, the total group of 2979 individuals without self-reported diabetes was 3.5 years older (mean 52.6 years versus 49.1 years) than the HUNT population as a whole.
Causes of death
We performed mortality follow-up by record linkage using the Norwegian 11-digit birth number (date of birth plus a 5-digit identifier), which is unique to each person residing in Norway, to obtain the date and underlying cause of death kept by Statistics Norway. The HUNT data including genotyping at the COMT locus were linked to the National Cause of Death register, and our report is based on mortality follow-up through the year 2004. We classified the 395 deaths on the basis of the underlying cause of death coded at Statistics Norway by using the 9th (death before 1996), or 10th revisions of the International Classification of Diseases (ICD). To further explore the influence of the Val158Met polymorphism on mortality from cancer and heart diseases on death, we also evaluated the immediate cause of death and up to five contributing causes of death. The underlying cause of death was defined as: a) the disease or injury that initiated the chain of morbid events leading directly to death or b) the external circumstances of the accident or violence that was the cause of the fatal injury [17]. By immediate cause of death was meant the disease, injury or condition directly leading to death and which was caused by the underlying cause of death [17]. Contributing cause of death was meant the condition that may have contributed to the death, but was not the direct causal relation with the disease or condition that has caused the death [17].
Genotyping of the COMT locus
Blood sampling was done whenever subjects attended, and details for the procedure and the HUNT 2 biobank are described elsewhere [14]. DNA for genotyping was extracted from peripheral blood leukocytes from whole blood or blood clots stored in the HUNT 2 biobank, using the Puregene kit (Gentra Systems Inc.) manually or with an Autopure LS (Gentra Systems Inc.). Laboratory technicians were blinded to the data from the National Cause of Death register. COMT genotypes were determined using the LightCycler (Roche Diagnostics Scandinavia AB, Bromma, Sweden) fluorescence resonance energy transfer method [18]. Polymerase chain reaction (PCR) amplifications were performed in 20 μl reactions on a LightCycler System, using 2 μl genomic DNA and the LightCycler-FastStart DNA Master Hybridization Probes kit (Roche Diagnostics Scandinavia AB, Bromma, Sweden). PCR primers (Eurogentec, Seraing, Belgium) and fluorescence labeled probes (PROLIGO, Paris, France) are shown in Table 1. Based on melting curve profiles, participants were classified as having Val/Val, Val/Met, or Met/Met genotypes. Details on PCR and melting curve conditions are available on request.
Ethics
The study was approved by the Regional Committee for Ethics in Medical Research, by the Norwegian Data Inspectorate, and by the Directorate for Health and Social Affairs.
Statistical analysis
Differences between continuous variables were tested with analyses of variance (one-way ANOVA) and between dichotomous variables with the chi-square test (including Fisher's exact test). Analyses used two-tailed estimation of significance, and p < 0.05 was considered to be statistically significant. A Kaplan-Meier method was performed to estimate the cumulative survival and differences between genotypes were tested with a log rank test. We used the Cox proportional hazards model to adjust for age, gender and other potential confounding factors, including smoking status, level of education, use of alcohol, blood pressure, coffee intake and body mass index.
Overall, our sample of 2979 individuals had more than 80 percent power to detect a 3 percent difference in total mortality and mortality by cancer or heart diseases between pooled genotypes with 95 percent certainty.
Statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS), version 14.0 (SPSS Inc, Chicago).
Abbreviations
- COMT:
-
Catechol-O-methyltransferase
- HUNT:
-
"Helseundersøkelsen i Nord-Trøndelag" (The Nord-Trøndelag Health Study)
- Val:
-
Valine
- Met:
-
Methionine
- ICD:
-
International Classification of Diseases
Declarations
Acknowledgements
The Nord-Trøndelag Health Study (The HUNT study) is a collaboration between The HUNT Research Centre, Faculty of Medicine, The Norwegian University of Science and Technology (NTNU); Norwegian Institute of Public Health; and the Nord-Trøndelag County Council.
Authors’ Affiliations
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Pre-publication history
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