(Circulation. 1995;91:265-269.)
© 1995 American Heart Association, Inc.
Articles |
From the National Public Health Institute (J.H.S., J.P., C.E.), Helsinki, Finland; Department of Human Genetics (J.H.S., K.E.Z., C.F.S.), University of Michigan (Ann Arbor); and Department of Community Health and General Practice (A.N.), University of Kuopio, Finland.
Correspondence to Dr Jari H. Stengård, National Public Health Institute, Department of Epidemiology and Health Promotion, Mannerheimintie 166, FIN-00300, Finland, Helsinki.
| Abstract |
|---|
|
|
|---|
Methods and Results Two samples of elderly Finnish men were
followed for 5 years, one in the east (n=297) and the other in the
southwest of Finland (n=369). At baseline, when the apoE genotypes were
assessed, the men were 65 to 84 years old. At the end of the follow-up,
the vital status of each man was determined, and cause of death was
coded. At baseline, relative frequencies of the three alleles
2,
3, and
4were 0.037, 0.827, and 0.136 in the eastern and
0.062,
0.763, and 0.175 in the southwestern samples, respectively
(
2=8.89, df=2, P<.012 for
difference between the samples). During the 5-year follow-up, a total
of 28 deaths from CHD were recorded in the eastern and 42 in the
southwestern sample. Relative CHD mortality was not heterogeneous
between the samples. Among those who died from CHD, there was a
doubling of the relative
4 allele frequency in both samples
(
2=4.70, df=1, P<.03 for
the eastern sample;
2=7.11, df=1,
P<.01 for the southwestern sample).
Conclusions Allelic variation in the apoE gene is a statistically significant predictor of CHD death in these samples of elderly Finnish men.
Key Words: coronary disease apolipoproteins mortality
| Introduction |
|---|
|
|
|---|
The objective of the present study was to evaluate whether the
polymorphism of three alleles of the gene coding for apoE is associated
with CHD death during a 5-year follow-up of two samples of elderly
Finnish men aged 65 to 84 years, one in east and the other in southwest
Finland. At baseline, the relative frequencies of apoE genotypes and
alleles were different for the eastern and the southwestern samples.
Average serum total cholesterol level and measures of other putative
CHD risk factor traits were within the ranges reported in other studies
of elderly men.14 15 16 Approximately one
third of the men
died during the follow-up period, with CHD the most common cause of
death in both samples. Among those who died of CHD, there was a
statistically significant excess of the
4 allele in both samples.
Therefore, we conclude that allelic variation in gene coding for apoE
is a risk factor for CHD death in these samples of elderly Finnish
men.
| Methods |
|---|
|
|
|---|
At the time of follow-up survey in 1989, 467 of the men whose apoE genotype was known at baseline were still alive and 199 had died during the 5-year follow-up period. The vital status of each man was determined through the Finnish Death Registry or personal contacts, except for 11 men whose vital status was determined through the Finnish Population Registry. Death certificates and hospital records were obtained for all the deceased men, and the cause of death was coded by one of the authors (J.P.) according to standardized criteria.18
Study Protocol
Two field surveys of each geographic region
were conducted
during the same month of the year, in October in the east and in
November in the southwest. Complete details of the study protocols of
the 1984 baseline and 1989 follow-up surveys are given
elsewhere.19 20 All the men were requested to fast at
least 4 hours before examination in the first survey and overnight in
the second survey. At the clinic, blood samples were drawn from the
antecubital vein for laboratory analyses. Body weight was measured to
the nearest 0.1 kg with the participant in light undergarments. Height
was measured only in 1959, when the men were first seen in connection
with the Seven Countries Study. This height was used to calculate body
mass index (BMI, kg/m2), an index of body size used in
current analyses. Subjects with BMI
27 kg/m2 were
classified as being obese.
Smoking status was assessed using a standard questionnaire.18 Subjects were classified into three categories: current smokers of cigarettes, cigars, or pipes; ex-smokers; and never smokers. A subject who had been an ex-smoker for <1 year before the survey was considered to be a current smoker. Never smokers were classified as those men who had never smoked cigarettes, cigars, or pipes.
Blood pressure was measured by a trained nurse. After
at least a
5-minute rest at the end of clinical examination, two successive
readings were taken from the right arm using a mercury manometer with a
12x33.5-cm cuff.19 Readings were taken to the nearest 2
mm Hg, and complete disappearance of the fifth phase of Korotkoff
sounds was recorded as the diastolic pressure. We used the mean value
of the two readings in analyses reported here. Hypertension was defined
according to the recommendation of the World Health
Organization21 (systolic blood pressure
160 mm Hg
and/or diastolic blood pressure
95 mm Hg, or receiving
antihypertensive drug treatment).
Laboratory Measurements
Total and high-density lipoprotein
(HDL) cholesterol
concentrations were assayed using an enzymatic method (Monotest,
Boehringer Mannheim) and Olli C3000 Photometer, total cholesterol was
determined from fresh sera.22 HDL cholesterol was measured
after precipitation of very-low- density lipoprotein and
low-density lipoprotein particles with
dextran-magnesium-chloride.22 ApoE phenotypes were
assessed using serum samples stored at -20°C until used in 1992. We
used a modification of the method of Havekes et
al,23 24
which is based on isoelectric focusing of delipidated serum followed by
immunoblotting using rabbit anti-human apoE antiserum. ApoE genotypes
were inferred from the respective isoform phenotypes. The apoE allele
frequencies (denoted
2,
3, and
4) were estimated by the
gene-counting method, separately for the eastern and the southwestern
samples.
Statistical Analysis
Differences between the two samples were
tested using ANOVA for
quantitative traits and a
2 statistic for
categorical variables. All statistical analyses were performed with the
SAS statistical software package.25 The level of
statistical significance was taken to be P=.05 unless
otherwise designated.
| Results |
|---|
|
|
|---|
|
At baseline, the
3/3 genotype was the most frequent genotype in both
samples;
2/2 was not recorded in either sample; and
4/4 was
recorded only in three men in the eastern sample (Table 2
).
Therefore,
4/4 was the least frequent genotype in
the eastern sample, and
2/4 was the least frequent in the
southwestern sample. Allele frequencies were heterogeneous between the
two samples (
2=8.890, df=2,
P=.012). Significantly lower relative frequencies of the
2 and
4 alleles were observed in the eastern sample
(
2=4.346, df=1, P<.05 for
the
2 allele;
2=3.661, df=1,
P=.056 for the
4 allele), whereas the relative
frequency
of the
3 allele was significantly higher
(
2=8.093, df=1,
P<.01).
|
During the 5-year follow-up period, a total of 88 deaths was recorded
in the eastern sample, and 111 in the southwestern sample (Table
3
). CHD was the most common cause of death in both
samples; it accounted for 34.5% of all deaths in the eastern sample
and 37.8% in the southwestern sample. There was no statistically
significant difference in either all-cause or CHD mortality rates
between the two samples.
|
The distribution of the
2,
3, and
4 alleles varied
significantly between survivors and those who died from CHD in both the
eastern and the southwestern samples (Table 4
). There
was a doubling of the relative
4 allele frequency among those who
died of CHD in both samples compared with the relative
4 frequency
among survivors (
2=4.70, df=1,
P<.03 for the eastern sample;
2=7.11,
df=1, P<.01 for the southwestern sample). In the
eastern sample, the relative
2 allele frequency also tended to be
higher in those who died of CHD, whereas in the southwestern sample,
the relative
2 frequency in those who died of CHD tended to be lower
than among survivors. This difference in the relative
2 frequency in
those who died of CHD was not different between the samples. There was
no second-order interaction among the relative apoE frequency, CHD
mortality, and the sample (
2=1.67,
df=2, P=.433). In the eastern sample, but not
in
the southwestern sample, increases in the relative frequencies of the
2 and
4 alleles were also associated with non-CHD death and
all-cause mortality.
|
| Discussion |
|---|
|
|
|---|
4 allele is associated with atherogenic changes in
measures of lipid metabolism, the presence of this allele is
hypothesized to confer an increased susceptibility to
CHD.4 5 10 11 12 13
This hypothesis is supported in many
cross-sectional
studies,4 5 10 11 12 13
although conflicting
results also exist.4 26 27 28
In our study of elderly Finnish
men, there was an excess of the
4 allele in the men who died of CHD
during a 5-year follow-up. This finding provides the first prospective
evidence that allelic variation in the gene coding apoE may act as a
statistically significant predictor of a CHD outcome.
The presence of the
2 allele is associated with both
anti-atherogenic and atherogenic changes in the content and composition
of plasma lipids.4 29 The atherogenic potential of
the
2 allele is mainly associated with
2/2 homozygotes and/or
presence of other factors such as obesity, diabetes, and
aging.4 In accordance with the hypothesized
anti-atherogenic potential of the
2 allele, in cross-sectional
studies a higher relative frequency of the
2 allele has been
observed in samples of subjects free of CHD compared with subjects with
CHD.4 30 We found no evidence for a statistically
significant association between the
2 allele and CHD death in either
sample of the elderly Finnish men. A finding that there were no
2
homozygotes in either sample might indicate that the
2 homozygotes
were deceased before the baseline study. However, only one or two
individuals could be expected to be homozygous for the
2 allele
based on Hardy-Weinberg expectations. Therefore, the lack of the
2
homozygotes in the current sample may be entirely attributable to
chance.
Age of onset, rate of progression, and severity of atherosclerosis are emergent properties of interactions between genetic effects with exposures to many environmental factors acting through numerous intermediate physiological and biochemical processes, including lipid metabolism.31 The relative importance of different combinations of factors to this cascade is, however, context (eg, sex and age) dependent. Elderly subjects, for example, appear to be free of many of CHD risk factors because the disease already has taken its greatest toll among high-risk subjects in their early adulthood.32 In accordance with the latter findings, the elderly men of this study had lower mean levels of serum total cholesterol and measures of other CHD risk factor traits at baseline than they had 20 to 25 years earlier.1 However, elevated serum cholesterol level remains a predictor of CHD death among elderly subjects.14 Similarly, the apoE polymorphism is an important determinant of interindividual variation in lipid metabolism among elderly men (Haviland et al, unpublished observations, 1994) and susceptibility for CHD death as seen in the present study. Therefore, we believe that the results of the present study are applicable not only to elderly male populations but also to middle-aged male populations.
The association between the apoE polymorphism and CHD in the present study measures only marginal effects of the apoE polymorphism. The contribution of apoE polymorphism to variation in quantitative measures of lipid and lipoprotein metabolism depends on the levels of other risk factor traits, such as body size, sex, and smoking status.33 We believe that this also is the case when considering the contribution of apoE polymorphism, or any other measure of genetic variability, to susceptibility to CHD. Therefore, knowledge about apoE genotype combined with a knowledge about other risk factor levels can provide additional information for CHD risk assessment that is not obtained from the apoE polymorphism alone. Studies that address the predictive value of the apoE polymorphism among elderly Finnish men, when variation in other risk factor traits are considered simultaneously, are in progress.
The atherogenic potential of the
4 allele is hypothesized to result
in a selective mortality against this allele and subsequent reduction
of the
4 allele frequency among elderly
subjects.4 32
Conversely, the proposed anti-atherogenic potential of the
2 allele
is expected to result in an excess of this allele among the elderly
subjects. Recent observations among octogenarians and centenarians have
supported this hypothesis.32 34 In accordance with
the
selective mortality hypothesis, the baseline
4 allele frequency in
the current samples of elderly Finnish men was lower than that obtained
from a sample of younger Finns (the estimates of relative
2,
3,
and
4 frequencies of Finnish children are 0.035, 0.781, and 0.184 in
East Finland and 0.045, 0.753, and 0.202 in West Finland,
respectively).35 The deficiency was statistically
significant in the eastern sample (
2=4.591,
df=1, P=.032) but not in the southwestern
sample.
This uneven decline in the
4 allele frequency across the area of
residence, together with a finding that the baseline
4 allele
frequency was lower in East than in Southwest Finland in the current
samples of elderly Finnish men but not in a sample of younger
Finns,35 could be a reflection of excess of CHD mortality
in the eastern sample in the past.1 A finding that the
averages of many risk factor levels in this study were higher in the
southwestern sample than in the eastern sample, a situation that is
opposite to previous findings,1 18 provides further
support for the selection hypothesis. In this context, we emphasize
that during the follow-up the excess of the
4 allele in men who died
from CHD resulted in a decrease of the
4 allele in the eastern
sample but not in the southwestern sample because in the southwestern
sample there was deficiency of the
4 allele among men who died from
non-CHD cause. This result suggests strong caution in making inferences
about the cause(s) of a heterogeneity of allele frequencies between
younger and elderly subjects from cross-sectional data.
Migration is a possible confounding factor when interpreting the cause for unequal allele frequencies between younger and elderly subjects, particularly in the present study. In the early 1960s, there was considerable migration from rural areas to large cities within Finland, and emigration from Finland to Sweden as well. The children and young subjects included in the study of younger Finns35 were born after the migration period. Therefore, the allele frequency in the samples of younger Finns does not necessarily represent the allele frequencies of these areas when the elderly men of the current samples were in their childhood or youth.
In conclusion, the results of the present study provide the first
prospective evidence that allelic variation in gene coding for apoE may
be of value in predicting CHD mortality. This is the only gene
identified thus far to have common allele (ie,
4 relative frequency
>0.10) that is a predictor of future CHD when other risk factors are
not considered. Because the influence of allelic variation in the apoE
gene on the phenotypic distributions of intermediate CHD risk factor
traits, and thus interindividual variation in disease risk, varies
among subdivision of population defined by sex, age, body size, and
smoking status,31 33 the use of the gene as a
predictor of
future CHD may also vary among such subdivisions. The next step is to
determine the extent to which the findings of the present study are
applicable to subdivisions of the Finnish population or to other
populations with different risk factor profiles.
| Acknowledgments |
|---|
Received July 5, 1994; accepted August 11, 1994.
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G. Kolovou, D. Daskalova, and D. P. Mikhailidis Apolipoprotein E Polymorphism and Atherosclerosis Angiology, January 1, 2003; 54(1): 59 - 71. [Abstract] [PDF] |
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T. Lehtimaki, P. Dastidar, H. Jokela, T. Koivula, S. Lehtinen, C. Ehnholm, and R. Punnonen Effect of Long-Term Hormone Replacement Therapy on Atherosclerosis Progression in Postmenopausal Women Relates to Functional Apolipoprotein E Genotype J. Clin. Endocrinol. Metab., September 1, 2002; 87(9): 4147 - 4153. [Abstract] [Full Text] [PDF] |
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J. E. Eichner, S. T. Dunn, G. Perveen, D. M. Thompson, K. E. Stewart, and B. C. Stroehla Apolipoprotein E Polymorphism and Cardiovascular Disease: A HuGE Review Am. J. Epidemiol., March 15, 2002; 155(6): 487 - 495. [Abstract] [Full Text] [PDF] |
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A.J.C. Slooter, M. L. Bots, L. M. Havekes, A. I. del Sol, M. Cruts, D. E. Grobbee, A. Hofman, C. Van Broeckhoven, J.C.M. Witteman, and C. M. van Duijn Apolipoprotein E and Carotid Artery Atherosclerosis: The Rotterdam Study Stroke, September 1, 2001; 32(9): 1947 - 1952. [Abstract] [Full Text] [PDF] |
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K. L. Klos, S. L. R. Kardia, R. E. Ferrell, S. T. Turner, E. Boerwinkle, and C. F. Sing Genome-Wide Linkage Analysis Reveals Evidence of Multiple Regions That Influence Variation in Plasma Lipid and Apolipoprotein Levels Associated With Risk of Coronary Heart Disease Arterioscler. Thromb. Vasc. Biol., June 1, 2001; 21(6): 971 - 978. [Abstract] [Full Text] [PDF] |
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A. Batalla, R. Alvarez, J. R. Reguero, S. Hevia, G. Iglesias-Cubero, V. Alvarez, A. Cortina, P. Gonzalez, M. M. Celada, A. Medina, et al. Synergistic Effect between Apolipoprotein E and Angiotensinogen Gene Polymorphisms in the Risk for Early Myocardial Infarction Clin. Chem., December 1, 2000; 46(12): 1910 - 1915. [Abstract] [Full Text] [PDF] |
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R. Frikke-Schmidt, B. G. Nordestgaard, B. Agerholm-Larsen, P. Schnohr, and A. Tybjærg-Hansen Context-dependent and invariant associations between lipids, lipoproteins, and apolipoproteins and apolipoprotein E genotype J. Lipid Res., November 1, 2000; 41(11): 1812 - 1822. [Abstract] [Full Text] |
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D. A. Nickerson, S. L. Taylor, S. M. Fullerton, K. M. Weiss, A. G. Clark, J. H. Stengård, V. Salomaa, E. Boerwinkle, and C. F. Sing Sequence Diversity and Large-Scale Typing of SNPs in the Human Apolipoprotein E Gene Genome Res., October 1, 2000; 10(10): 1532 - 1545. [Abstract] [Full Text] |
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C. R. Isasi, S. Shea, R. J. Deckelbaum, S. C. Couch, T. J. Starc, J. D. Otvos, and L. Berglund Apolipoprotein epsilon 2 Allele Is Associated With an Anti-atherogenic Lipoprotein Profile in Children: The Columbia University BioMarkers Study Pediatrics, September 1, 2000; 106(3): 568 - 575. [Abstract] [Full Text] |
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J. M. Olichney, L. A. Hansen, C. R. Hofstetter, J.-H. Lee, R. Katzman, and L. J. Thal Association Between Severe Cerebral Amyloid Angiopathy and Cerebrovascular Lesions in Alzheimer Disease Is Not a Spurious One Attributable to Apolipoprotein E4 Arch Neurol, June 1, 2000; 57(6): 869 - 874. [Abstract] [Full Text] [PDF] |
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L. U. Gerdes, C. Gerdes, K. Kervinen, M. Savolainen, I. C. Klausen, P. S. Hansen, Y. A. Kesaniemi, and O. Fargeman The Apolipoprotein {epsilon}4 Allele Determines Prognosis and the Effect on Prognosis of Simvastatin in Survivors of Myocardial Infarction : A Substudy of the Scandinavian Simvastatin Survival Study Circulation, March 28, 2000; 101(12): 1366 - 1371. [Abstract] [Full Text] [PDF] |
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A. M. Dart and B. Cooper Independent Effects of Apo E Phenotype and Plasma Triglyceride on Lipoprotein Particle Sizes in the Fasting and Postprandial States Arterioscler. Thromb. Vasc. Biol., October 1, 1999; 19(10): 2465 - 2473. [Abstract] [Full Text] [PDF] |
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S. T. Bogardus Jr, J. Concato, and A. R. Feinstein Clinical Epidemiological Quality in Molecular Genetic Research: The Need for Methodological Standards JAMA, May 26, 1999; 281(20): 1919 - 1926. [Abstract] [Full Text] [PDF] |
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S. L. R. Kardia, M. B. Haviland, R. E. Ferrell, and C. F. Sing The Relationship Between Risk Factor Levels and Presence of Coronary Artery Calcification is Dependent on Apolipoprotein E Genotype Arterioscler. Thromb. Vasc. Biol., February 1, 1999; 19(2): 427 - 435. [Abstract] [Full Text] [PDF] |
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Y. Liu, D. A. Peterson, and D. Schubert Amyloid beta peptide alters intracellular vesicle trafficking and cholesterol homeostasis PNAS, October 27, 1998; 95(22): 13266 - 13271. [Abstract] [Full Text] [PDF] |
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M. O. McCarron, K. W. Muir, C. J. Weir, A. G. Dyker, I. Bone, J.A.R. Nicoll, and K.R. Lees The Apolipoprotein E {epsilon}4 Allele and Outcome in Cerebrovascular Disease Stroke, September 1, 1998; 29(9): 1882 - 1887. [Abstract] [Full Text] [PDF] |
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M. Margaglione, D. Seripa, C. Gravina, E. Grandone, G. Vecchione, G. Cappucci, G. Merla, S. Papa, A. Postiglione, G. Di Minno, et al. Prevalence of Apolipoprotein E Alleles in Healthy Subjects and Survivors of Ischemic Stroke : An Italian Case-Control Study Stroke, February 1, 1998; 29(2): 399 - 403. [Abstract] [Full Text] [PDF] |
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A. Pablos-Mendez, R. Mayeux, C. Ngai, S. Shea, and L. Berglund Association of Apo E Polymorphism With Plasma Lipid Levels in a Multiethnic Elderly Population Arterioscler. Thromb. Vasc. Biol., December 1, 1997; 17(12): 3534 - 3541. [Abstract] [Full Text] |
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L. Ferrucci, J. M. Guralnik, M. Pahor, T. Harris, M.-C. Corti, M.-C. MHS, B. T. Hyman, R. B. Wallace, and R. J. Havlik Apolipoprotein E {epsilon}2 Allele and Risk of Stroke in the Older Population Stroke, December 1, 1997; 28(12): 2410 - 2416. [Abstract] [Full Text] |
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I. Raiha, J. Marniemi, P. Puukka, T. Toikka, C. Ehnholm, and L. Sourander Effect of Serum Lipids, Lipoproteins, and Apolipoproteins on Vascular and Nonvascular Mortality in the Elderly Arterioscler. Thromb. Vasc. Biol., July 1, 1997; 17(7): 1224 - 1232. [Abstract] [Full Text] |
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P. W.F. Wilson, E. J. Schaefer, M. G. Larson, and J. M. Ordovas Apolipoprotein E Alleles and Risk of Coronary Disease: A Meta-analysis Arterioscler. Thromb. Vasc. Biol., October 1, 1996; 16(10): 1250 - 1255. [Abstract] [Full Text] |
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J. G. Terry, G. Howard, M. Mercuri, M. G. Bond, and J. R. Crouse III Apolipoprotein E Polymorphism Is Associated With Segment-Specific Extracranial Carotid Artery Intima-Media Thickening Stroke, October 1, 1996; 27(10): 1755 - 1759. [Abstract] [Full Text] |
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L.-M. Dong and K. H. Weisgraber Human Apolipoprotein E4 Domain Interaction. ARGININE 61AND GLUTAMIC ACID 255INTERACT TO DIRECT THE PREFERENCE FOR VERY LOW DENSITY LIPOPROTEINS J. Biol. Chem., August 9, 1996; 271(32): 19053 - 19057. [Abstract] [Full Text] [PDF] |
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