(Circulation. 1999;100:1274-1279.)
© 1999 American Heart Association, Inc.
Clinical Investigation and Reports |
From the Research Institute of Public Health, University of Kuopio, Kuopio, Finland (T.-P.T., K.N., T.A.L., J.T.S.); the Department of Community Health and General Practice, University of Kuopio, Kuopio, Finland (T.-P.T., J.T.S.); and the Department of Medicine, University of Helsinki, Helsinki, Finland (K.K., T.H.).
Correspondence to Professor Jukka T. Salonen, Research Institute of Public Health, University of Kuopio, Harjulantie 1 B, 70210 Kuopio, Finland (or PO Box 1627, 70211 Kuopio, Finland). E-mail jukka.salonen{at}uku.fi
| Abstract |
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Methods and ResultsStudy subjects were the 1150 participants in the population-based Kuopio Ischemic Heart Disease Risk Factor Study (KIHD), aged 42, 48, 54, or 60 years at baseline, who had no coronary heart disease at baseline and for whom a DNA sample was available. Information about myocardial infarctions was collected prospectively by use of FINMONICA (FINnish MONItoring of trends and determinants in CArdiovascular disease study) and hospital data. Events were classified by MONICA (MONItoring of trends and determinants in CArdiovascular disease study) diagnostic criteria. The HFE Cys282Tyr mutation was assayed by a solid-phase minisequencing technique. One subject was homozygous and 76 individuals were heterozygous for the HFE Cys282Tyr mutation (6.7%). During a mean follow-up of 9 years, 8 (10.4%) of 77 carriers and 60 (5.6%) of 1073 noncarriers experienced an acute myocardial infarction. In a Cox proportional hazards model allowing for the other strongest risk factors, the carriers had a 2.3-fold (95% CI 1.1 to 4.8; P=0.03) risk of acute myocardial infarction compared with noncarriers.
ConclusionsMale carriers of the common hemochromatosis gene mutation are at 2-fold risk for first acute myocardial infarction compared with noncarriers.
Key Words: epidemiology hemochromatosis iron myocardial infarction
| Introduction |
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Identification of asymptomatic carriers of the trait
has been complicated. Attempts to this end include screening of the
population with
1 biochemical marker of iron status, followed by
liver biopsy and evaluation of hepatic iron index, or by
HLA-haplotyping of the first-degree relatives of
symptomatic subjects to demonstrate HLA
identity.1 2 3 These approaches are not feasible for
population studies, because unaffected homozygotes and the majority of
heterozygous carriers would be missed. A more sensitive approach is to
monitor the disease-associated (or preferably the disease-causing) gene
itself.
Recently, Feder and coworkers4 found that a specific mutation (Cys282Tyr) of a novel hemochromatosis-associated gene, initially called HLA-H but subsequently renamed HFE, was present in a homozygous form in 85% of their HH patients of northern European origin. It is now thought that this is the main mutation that causes hemochromatosis.
Because we previously demonstrated that increased body iron stores are an independent risk factor for acute myocardial infarction (AMI),5 6 we studied whether male carriers of the HFE Cys282Tyr mutation are at an increased risk of first AMI.
| Methods |
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To study the role of hemochromatosis in the first manifestations of coronary heart disease (CHD), men with history of CHD at baseline were excluded. CHD history was defined as either a history of AMI or angina pectoris, positive angina pectoris on effort according to the Rose questionnaire, or use of nitroglycerin tablets at least weekly. A DNA sample was available for 1150 CHD-free men.
HFE Cys282Tyr Genotyping
DNA was extracted from 10 mL of EDTA-anticoagulated venous blood
by standard salting-out or phenol-chloroform assays. The G-to-A
transition at nucleotide 845 of the HFE cDNA,
resulting in a substitution of tyrosine for cysteine at codon 282, was
assayed by a solid-phase minisequencing technique.8
In short, a DNA fragment containing the mutation point was first
amplified by polymerase chain reaction (PCR) with the primers 5'-CTC
AGG CAC TCC TCT CAA CC-3' (biotinylated at its 5'-end) and 5'-TGG CAA
GGG TAA ACA GAT CC-3'. The amplified 5'-biotinylated PCR products
were captured in streptavidin-coated microtitration wells, washed, and
denatured. The variable nucleotide (G/A) in the
immobilized DNA was assayed with a primer extension
reaction directed by a detection step primer (5'-GGA AGA GCA GAG ATA
TAC GT-3') annealing to the DNA immediately upstream of the site of
variation. In this elongation reaction, a single tritiated nucleoside
triphosphate is incorporated into the DNA. After the wells were washed,
the elongated primer was released by addition of 50 mmol/L NaOH
and counted for radioactivity. All samples positive for the presence of
the Cys282Tyr mutation were reassayed by PCR amplification followed by
RsaI restriction-enzyme analysis and
polyacrylamide gel electrophoresis, and identical results were
obtained. Assays for the HFE Cys282Tyr mutation were always
performed blindly in relation to other data of the respective
individual.
Measurement of Other Risk Factors
The KIHD examination protocol and collection of samples have
been described previously.5 7 The measurement of serum
VLDL, LDL, and HDL cholesterol
concentrations,5 serum HDL2 and
HDL3 subfractions,5 serum total
cholesterol and triglycerides,5
and serum apolipoprotein B and A-I5 has been described
previously. Serum apolipoprotein(a) concentrations were determined with
a radioimmunoassay [Mercodia Apo(a) RIA]. The measurement of blood
leukocyte count,6 serum
-glutamyl transferase
activity,6 plasma fibrinogen,9 plasma vitamin
C10 and E (lipid standardized),11 serum
ferritin,5 serum copper,10 hair mercury
content,9 and 24-hour urinary nicotine
metabolites12 has also been described previously.
Details about the measurement of blood pressure5 and maximal oxygen uptake,6 as well as criteria for exercise-induced ischemia,5 are also provided in previous reports. Waist-to-hip circumference ratio (WHR) was calculated as the circumference of the waist (in centimeters) divided by the circumference of the hip (in centimeters), and body mass index (BMI) was calculated as weight (in kilograms) divided by height (in meters) squared. Assessment of medical history,5 smoking,5 alcohol consumption,6 socioeconomic score,11 energy expenditure of conditioning leisure-time physical activity,6 and dietary intake of nutrients6 was performed as described previously.
Collection and Coding of AMI Data
The province of Kuopio participated in the multinational MONICA
(MONItoring of Trends and Determinants in CArdiovascular Disease)
project,13 in which detailed diagnostic
information of suspected AMI during 1982 to 1992 was collected
prospectively by the FINMONICA (Finnish MONICA) investigator group.
Data on AMI between January 1993 and December 1996 were obtained by
record linkage from the national computerized hospital discharge
registry. Diagnostic information was collected from
hospitals and classified by identical diagnostic criteria.
The follow-up time to AMI, death, or December 31, 1996, varied between
30 days and 12.8 years, with a mean of 9.1 years. In the case of
multiple events for the same subject, only the first event was
considered a follow-up end point. Thirty-three of the events were
classified as definite AMI, 24 as possible AMI, and 11 as prolonged
chest pain according to MONICA criteria.
Statistical Methods
Differences in risk factors between subjects who experienced an
AMI during follow-up and those who had no AMI were tested for
statistical significance with the Student t test, allowing
for unequal variances.
Risk factoradjusted relative risks of AMI were estimated as relative hazards by the Cox proportional hazards model. We examined the fit of the model by analyzing changes in the proportionality of hazards with time and risk factors. The genotype at codon 282 of the HFE gene was dichotomized as Cys/Cys=0 and Cys/Tyr or Tyr/Tyr=1. To avoid loss of information, covariates were entered as continuous variables.
Covariates for the model were selected 1 at a time by Cox models, with
age and examination year and month entered simultaneously.
Of a large number of previously known or predictive risk factors
tested, a set of 13 risk factors was used in further analyses
as covariates (Table 2
). Other factors tested that were not
significant and therefore were not entered as covariates were serum
concentrations of apolipoprotein A-I (mg/L); HDL3
cholesterol (mmol/L); triglycerides (mmol/L);
apolipoprotein(a) (mg/L);
-glutamyl transferase (U/L); copper (mg/L)
and lipid-standardized vitamin E; blood leukocyte count
(109/L); alcohol consumption (g/wk); hair
mercury content (µg/g); use of antihypertensive medication for
hypertension (yes versus no); BMI (kg/m2);
diastolic blood pressure (mm Hg); intensity
(metabolic equivalents [METs]) and duration (h/wk) of
conditioning leisure-time physical activity; daily intake of saturated,
monounsaturated, and polyunsaturated fatty acids
(g) and iron (mg); and number of hangovers per year.
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Missing values in covariates were replaced by means. All tests of statistical significance were 2-sided. The statistical analyses were computed with SPSS statistical software.
| Results |
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Risk Factor Characteristics
Baseline distributions of the strongest risk factors of AMI in
subjects who did and did not experience an AMI during the 9 years of
follow-up are shown in Table 1
.
There were no statistically significant differences in the 13
covariates between HFE Tyr282 carriers and noncarriers. The
mean serum ferritin concentration for carriers and noncarriers of the
mutation was 175 (SE 4.5) and 165 (SE 20.1) µg/L, respectively. The
proportion of subjects with serum ferritin >200 µg/L was 7.3% for
carriers and 6.5% for noncarriers of the mutation.
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AMI Incidence According to Presence of HFE
Tyr282 Allele
The unadjusted relative risk of AMI for Tyr282 carriers was 1.95
(95% CI 0.93 to 4.08; P=0.08). The 13 strongest risk
factors were entered in a forward stepwise Cox proportional-hazards
model. The analysis selected HFE genotype
and 6 other risk factors: serum apolipoprotein B concentration, 24-hour
urinary excretion of nicotine metabolites, ischemic ECG finding
in the baseline exercise test, age, WHR, and serum VLDL
cholesterol concentration (P to enter 0.05)
(Table 2
, model 1). In this model,
carriers of the Tyr282 allele had >2-fold increased risk of AMI
(relative risk 2.29, 95% CI 1.09 to 4.83; P=0.03) compared
with noncarriers. In a model in which all 13 risk factors were forced
in, the relative risk for an AMI in carriers versus noncarriers was
2.21 (95% CI 1.05 to 4.67; P=0.04) (Table 2
, model
2). This relative risk was similar in analysis based on
definite and possible AMIs only.
The population attributable risk for the HFE Cys282Tyr
mutation was 8.0% (95% CI 0.6 to 20.4%) for the stepwise
analysis and 7.5% (95% CI 0.3 to 19.7%) when all 13 risk
factors were forced into the model. According to this analysis,
8% of the first AMIs within the study population were explained by
this mutation.
The interaction between body iron stores and Tyr282 allele carrier status on the risk of AMI was studied separately in HFE Tyr282 carriers and noncarriers in a model including serum ferritin concentration, age, and examination year and month. In carriers, a rise of every 100 µg of ferritin per liter increased the risk of AMI by 52% (95% CI 11% to 107%; P=0.009). Serum ferritin concentration was not predictive of AMI among noncarriers of the HFE Cys282Tyr mutation (risk increase of 0.6% for every 100 µg of serum ferritin per liter; P=0.95).
To study the synergism between HFE 282Tyr allele carrier status and the major coronary risk factors with regard to the risk of AMI, the interactions between HFE 282Tyr allele carrier status and systolic blood pressure, serum LDL cholesterol, and smoking were explored. The relative risk of AMI associated with the mutation was 2.33 (95% CI 0.99 to 5.50; P=0.05) in men with high serum LDL cholesterol concentration (divided at median) and 1.44 (95% CI 0.33 to 6.24; P=0.62), in men with low serum LDL cholesterol concentration. The respective relative risk of AMI was 2.49 (95% CI 1.05 to 5.90; P=0.04) in men with high systolic blood pressure (divided at median) and 1.25 (95% CI 0.29 to 5.30; P=0.74) in men with low systolic blood pressure. The relative risk of AMI associated with the HFE mutation was also higher in smokers than in nonsmokers (2.16 versus 1.69), although this was not statistically significant in either group. We adjusted for age and examination year and month in these analyses. The relative risks did not differ statistically significantly between subgroups.
| Discussion |
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The Cys282Tyr mutation abolishes 1 of the 4 cysteine residues of the wild-type protein, destroying the ß2-microglobulin binding capacity of HFE,18 and HFE knockout mice develop hepatic iron overload even on a standard diet.19 Furthermore, the intact HFE protein forms a stable complex with the transferrin receptor, thus lowering its affinity for transferrin,20 whereas the mutant protein both lacks this activity21 and localizes mainly intracellularly.21 Taken together, there is ample evidence that the Cys282Tyr-mutated HFE protein contributes to iron accumulation in HH. Although another His63Asp variant of the HFE gene may account for a small fraction of HH inheritance,4 its exact significance as a potential HH gene remains open.
We have previously demonstrated an association between increased body iron and excess risk of AMI in middle-aged men in the prospective KIHD population study.5 6 In the same population, we also observed an association between voluntary blood donations and reduced risk of AMI.22 23 According to our hypothesis, excess body iron contributes to the risk of AMI through enhanced free radical stress.24 25 Whether this iron-mediated oxidative stress acts more in the circulation, in the vessel wall, or in the myocardium has not yet been resolved. Iron has been found in excess in human atheromas,26 27 where it coexists with ceroid.28 In addition, iron chelators have been shown to reduce ischemia-reperfusion injury and contractile dysfunction in animal models.29 30 These data suggest that in addition to promoting atherogenic lipid peroxidation, catalytic iron could have direct vulnerability-increasing effects in atheromas and that it may promote the expansion of ischemic injury when it is liberated in damaged myocytes.
The evidence from prospective human population studies is more inconsistent. Increased estimated body iron stores have been associated with increased risk of CHD death or AMI in some but not all studies.24 25
Two previous studies31 32 have assessed the potential association between the HFE gene polymorphisms and CHD, with negative results. In both of these studies, the cases were selected on the basis of their already-established atherosclerotic disease, and no adjustments for any confounding factors were made. Furthermore, 1 of the studies included only coronary disease patients, with no control group.31 The disagreement of these findings with our observation can also be explained by the survival bias in the cross-sectional studies.
On the basis of the present study, the hemochromatosis gene
HFE Cys282Tyr substitution affects
67 of every 1000
Finns. It is common enough to have public health importance if
heterozygosity is established as a risk factor in any severe disease.
In the present study, the carrier status for this mutation
explained as much as 8% of first AMIs within the study population.
Heterozygosity for HH has not previously been considered to signify clinical relevance, because iron accumulation in these patients is modest compared with homozygous individuals. However, individuals judged to be heterozygous for hemochromatosis do have higher body iron stores than healthy controls.33 34 Knowledge regarding any risk-increasing impact of moderately increased iron stores would be especially important, because iron depletion by venesection is economical and effective when started early enough.1 35
Myocardial infarction is not generally regarded as a likely complication of human HH. In our view, this association has not been studied in an optimal setting. If only clinically affected HH patients and their first-degree relatives are studied, the selection of cases will be biased. The bias comes from loss of a fraction of undiagnosed affected individuals as well those who have died, possible inclusion of some undiagnosed cases among control subjects, and inclusion of well-treated affected individuals among cases. The association is therefore best studied by direct screening for the causative gene mutation in a prospective population study. Although the present study was performed in a prospective population-based cohort, there is one shortcoming that should be emphasized. The effect of HH on CHD incidence can be expected to be most apparent in younger individuals.36 Because we studied subjects who were >42 years old at baseline, it is possible that the observed prevalence rate of homozygosity and, perhaps to a lesser extent, of heterozygosity for the HFE Cys282Tyr mutation is an underestimate due to some self-selection and survival biases, avoidable only in still-younger age groups. These biases can also explain why the mutation carriers had only mildly elevated serum ferritin levels compared with noncarriers in our study. In addition, because our study was an association study and the major histocompatibility complex gene region where the HFE gene locates is a very gene-rich region, the increased risk of an AMI could also be modified by some other, noniron-metabolismrelated gene coinherited with the HFE mutation.
Different populations represent different gene pools, implying that gene-disease associations are expected to vary between populations. For this reason, our present finding that the HFE Cys282Tyr gene mutation is associated with an increased risk of AMI requires confirmation in other populations in which this mutation is likewise common. Our study also raises important questions about whether screening for HH at young ages might be justified in families at high risk for vascular disease and whether subsequent monitoring of iron status and iron-depleting treatment will eventually constitute new measures in the primary prevention of CHD.
| Acknowledgments |
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Received December 29, 1998; revision received June 8, 1999; accepted June 17, 1999.
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