Objective To investigate the relationship between the apolipoprotein E (APOE) gene and the risk of mortality in normal weight, overweight and obese individuals. Methods and Results In a population-based study of 7,983 individuals aged 55 years and older, we compared the risks of all-cause and coronary heart disease (CHD) mortality by APOE genotype, both overall and in subgroups defined by body mass index (BMI). We found significant evidence for interaction between APOE and BMI in relation to total cholesterol (p = 0.04) and HDL cholesterol (p < 0.001). Overall, APOE*2 carriers showed a decreased risk of all-cause mortality. Analyses within BMI strata showed a beneficial effect of APOE*2 only in normal weight persons (adjusted hazard ratio (HR) 0.7[95% CI 0.5–0.9]). APOE*2 was not associated with a lower risk of all-cause mortality in overweight or obese persons. The effect of APOE*2 in normal weight individuals tended to be due to the risk of CHD mortality (adjusted HR 0.5 [95% CI 0.2–1.2]). Conclusion The APOE*2 allele confers a lower risk of all-cause mortality only to normal weight individuals.
Apolipoprotein E is a plasma protein involved in the metabolism of cholesterol. The apolipoprotein E isoforms ε2, ε3 and ε4, determined by the three alleles of the apolipoprotein E gene (APOE*2, APOE*3 and APOE*4), differ in their binding affinity to serum cholesterol and hence in their ability to clear dietary fat from the blood [1]. Accordingly, total serum cholesterol levels differ between APOE genotypes, with APOE*2 carriers having lower total serum cholesterol levels and APOE*4 carriers having higher levels than APOE*3 homozygotes [1‐4].
In line with the clear differences in total serum cholesterol levels associated with the APOE genotype, one would expect that APOE*2 carriers have lower risks of cardiovascular morbidity and mortality and APOE*4 carriers have higher risks. Yet, the evidence for this association is inconsistent. A recent meta-analysis showed that APOE*4 was associated with a higher risk of coronary heart disease (CHD), but found no association with APOE*2 [5]. APOE*2 has been associated with a lower risk of mortality [6] and APOE*4 with a higher risk [7‐11], but also these relationships were not found by others [12‐19].
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A possible explanation for these inconsistencies may be found in the role of body weight. Several studies have demonstrated that the relationship between the APOE gene and lipids differs between normal weight, overweight and obese individuals [20‐22]. Total serum cholesterol levels were higher among obese than among non-obese APOE*4 carriers [20], and obese APOE*2 carriers had higher serum triglycerides and higher LDL-cholesterol levels than non-obese APOE*2 carriers [20, 21]. While APOE*2 carriers generally have the lowest cholesterol levels, those with high BMI were found to have similar total serum cholesterol levels compared to APOE*3 homozygotes and APOE*4 carriers [20]. These findings suggest that the adverse effects of high body weight may outweigh the beneficial effect of APOE*2 status. If so, a protective effect of APOE*2 on mortality may be largest among normal weight individuals.
Despite this evidence for a moderating effect of body weight on the relation between the APOE gene and total serum cholesterol, no studies so far have performed a stratified analysis on the relationship between the APOE gene and the risk of mortality. The aim of the present study was to investigate the extent to which the relationship between APOE genotypes and the risk of mortality differs between normal weight, overweight and obese individuals. We examined this relationship for both all-cause and CHD mortality.
Methods
Study population and procedures
The present analyses were performed in the Rotterdam Study, an ongoing population-based study on the determinants of disease and disability among persons 55 years and older. Details of this study have been described elsewhere [23]. Baseline data were collected between 1990 and 1993. During home visits, a trained investigator obtained information on health status, medical history, medication use and lifestyle. Subsequently, participants were invited to the study center where they underwent an extensive clinical examination. The Medical Ethics Committee of the Erasmus Medical Center approved the study protocol and all participants provided written informed consent. From 10,275 eligible subjects, 7,983 (78%) individuals agreed to participate in the study and were examined at baseline.
Data collection
Clinical and laboratory assessments
The clinical examination included weight, height, systolic and diastolic blood pressure, serum glucose, total serum cholesterol and high-density lipoprotein (HDL) cholesterol levels. BMI was computed as weight (kg) divided by height squared (m2). Participants were classified as underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2) or obese (BMI ≥ 30 kg/m2) [24]. The waist and hip circumferences were measured, and the waist-hip-ratio (WHR) was calculated as indirect assessment of abdominal fat. Systolic and diastolic blood pressures were measured twice in a sitting position after 5 min rest using a random-zero sphygmomanometer. The mean of the two measurements was used for the analyses. Hypertension was defined as systolic blood pressure higher than 160 mmHg, diastolic blood pressure higher than 100 mmHg, or the use of antihypertensive medication indicated to treat high blood pressure (hypertension grades 2 and 3) [25]. Diabetes was diagnosed based on a random or post-load glucose level higher than 11.0 mmol/l and/or the use of anti-diabetic medication [26]. Total serum cholesterol and HDL-cholesterol were measured using an automated enzymatic procedure [27]. Hypercholesterolemia was defined as a total serum cholesterol level above 6.2 mmol/l [28]. The APOE genotype was determined on DNA samples using a polymerase chain reaction followed by enzymatic digestion using methods previously described [29]. The frequencies of APOE genotypes were APOE 2/2 0.8%, APOE 2/3 12.8%, APOE 2/4 2.7%, APOE 3/3 58.4%, APOE 3/4 22.9% and APOE 4/4 2.4%. The proportions of the APOE alleles and genotypes were in Hardy-Weinberg equilibrium (p = 0.71).
Mortality data
Information on the vital status of the participants was obtained at regular intervals from the municipal population registry. Causes of death were obtained from the general practitioners by means of a standardized questionnaire relating to the circumstances of death, most likely cause of death and time and place of death. Two independent research physicians coded all events according to the International Classification of Diseases, 10th edition (ICD-10) [30]. CHD mortality was defined as death from diseases coded I20–I25, I46, I50 or R96. Mortality data were available up to December 2003.
Statistical analyses
Of the 7,983 individuals who participated at baseline, 5,817 (73%) had APOE genotyped successfully and had complete information on BMI, WHR and cholesterol levels. Because persons with an extremely low BMI may suffer from life-threatening diseases such as cancer, individuals with a BMI below 18.5 kg/m2 (n = 51) were excluded from the analyses. Also, APOE 2/4 individuals were excluded from the analyses (n = 158) to distinguish the effect of the APOE alleles unambiguously. Hence, data from 5,608 participants were available for the analyses.
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Differences in baseline characteristics by APOE genotypes were tested using the chi-squared statistic (categorical variables) or ANOVA (continuous variables). P for trend was obtained by testing the linearity of the sum of squares from the ANOVA analyses. Multiple linear regression analysis was used to assess the interaction between APOE genotype and BMI on total serum cholesterol and HDL-cholesterol levels. Differences in survival probabilities were examined by comparing Kaplan-Meier survival curves and tested using the log rank test. Kaplan-Meier plots were constructed using age as the time scale to take proper account of the effect of age [31, 32]. Risks of mortality were quantified as hazard ratios (HRs) using Cox proportional hazards analyses with age as the time scale. The most common genotype (APOE 3/3) was used as the reference category. The proportionality assumption of all models was verified by testing the Schoenfeld residuals [33]. Because the proportionality assumption was not met, HRs were calculated for early and late mortality using 80 years as the cut-off age. This cut-off age was selected because it led to proportionality of the models below and above the cut-off age. HRs were calculated adjusted for gender, smoking status, education level, total serum cholesterol, HDL-cholesterol, waist to hip ratio hypertension and diabetes mellitus.
Results
The mean age at entry was 68.7 years (SD = 8.7 years) and 41.8% of the participants were men. The mean follow up time was 11.1 years (SD = 3.8 years). Baseline characteristics of APOE*2 carriers, APOE*3 homozygotes and APOE*4 carriers are presented in Table 1. As expected, cholesterol levels differed significantly between the genotype groups. The prevalence of hypercholesterolaemia was lowest among APOE*2 carriers (49%) and highest among APOE*4 carriers (66%). Furthermore, there were statistically significant differences in BMI scores between the genotype groups, with APOE*2 carriers having the highest mean BMI (26.7 ± 3.6 kg/m2) and APOE*4 carriers the lowest (26.1 ± 3.4 kg/m2). There were no statistically significant differences in WHR between the genotype groups.
Table 1
Baseline characteristics by APOE genotype groups
APOE*2 carriers
APOE 3/3
APOE*4 carriers
p
n
782
3,369
1,457
Sex (men)
38
42
42
0.05
Age at entry (years)
68.8 (8.8)
68.9 (8.7)
68.3 (8.5)
0.14
Body mass index (kg/m2)
26.7 (3.6)
26.4 (3.6)
26.1 (3.4)
<0.01
Normal weight
34
39
40
Overweight
49
47
47
<0.05
Obese
17
14
13
Waist-to-hip ratio
0.9 (0.1)
0.9 (0.1)
0.9 (0.1)
0.18
Systolic blood pressure (mmHg)
140 (22)
140 (23)
138 (2)
0.04
Diastolic blood pressure (mmHg)
74 (11)
74 (12)
73 (11)
0.06
Hypertension
36
34
33
0.25
Total serum cholesterol (mmol/l)
6.4 (1.3)
6.6 (1.2)
6.8 (1.2)
<0.001
HDL-cholesterol (mmol/l)
1.4 (0.4)
1.3 (0.3)
1.3 (0.4)
<0.001
Cholesterol lowering medication
3
2
3
0.71
Hypercholesterolemia
49
60
66
<0.001
Smoking status (current)
39
35
33
0.02
Education level
Lower
43
43
45
Intermediate
43
42
40
0.21
Higher
14
15
15
Diabetes mellitus
10
10
9
0.75
Values are means (standard deviations) for continuous variables and percentages for categorical variables. p values are obtained by ANOVA for continuous variables and by χ2 for categorical variables
Figure 1 presents mean total serum cholesterol and HDL-cholesterol levels by APOE genotype in normal weight, overweight and obese persons. In all BMI strata, APOE*2 carriers had the lowest and APOE*4 carriers the highest total serum cholesterol (pfor trend < 0.01). The association between HDL-cholesterol and APOE genotype was in the opposite direction (pfor trend < 0.01). Note that even though APOE*2 carriers had the lowest total serum cholesterol levels in each BMI group, still 50% of the overweight and 57% of the obese APOE*2 carriers had hypercholesterolaemia compared to 41% of the normal weight APOE*2 carriers (p = 0.003). There was no significant evidence for interaction between APOE genotype and BMI in relation to total serum cholesterol (p = 0.26) and HDL-cholesterol (p = 0.25). However, when BMI was analyzed as a continuous trait, then the p value for interaction was 0.04 for total serum cholesterol and less than 0.001 for HDL-cholesterol.
Fig. 1
Mean total serum cholesterol and HDL-cholesterol levels by APOE genotypes for normal weight, overweight and obese individuals. HDL: high-density lipoproteins
×
A total of 1,918 deaths occurred during follow-up. Of those, 257 occurred in 782 APOE*2 carriers (33%), 1,160 in 3,369 APOE*3 homozygotes (33%) and 501 in 1,457 APOE*4 carriers (34%). Differences between the Kaplan-Meier survival curves of the APOE*2 carriers, APOE*3 homozygotes and APOE*4 carriers were small but statistically significant (p = 0.03) with APOE*2 carriers having slightly lower mortality risks (Fig. 2). After adjustment for other cardiovascular risk factors, APOE genotype was not associated with all-cause mortality before or after 80 years of age in the overall population (Table 2). The differences between the curves were only statistically significant in normal weight individuals (p = 0.04; Fig. 3). Normal weight carriers of the APOE*2 allele had a significantly lower risk of mortality before age 80 years (HR [95% CI] = 0.7 [0.5–0.9]), but not after age 80 years (crude HR [95% CI] = 1.0 [0.8–1.4]). There were no significant differences in the risk of mortality between genotype groups among overweight or obese persons (Table 2).
Fig. 2
Kaplan Meier survival curves for all-cause mortality by APOE genotypes
Table 2
Incidence rates and hazard ratios for all-cause mortality by APOE genotypes and BMI categories
Follow-up
Incidence rate
Hazard ratio
Follow-up
Incidence rate
Hazard ratio
Deaths
(py)
Deaths/1,000 py (95% CI)
(95% CI)
Deaths
(py)
Deaths/1,000 py (95% CI)
(95% CI)
Before 80 years of age
After 80 years of age
All
APOE*2 carriers
101
6,782
14.9 (12.3–18.1)
0.9 (0.7–1.1)
156
21,764
7.2 (6.1–8.4)
0.9 (0.8–1.1)
APOE 3/3
481
28,703
16.8 (15.3–18.3)
679
95,808
7.1 (6.6–7.6)
APOE*4 carriers
198
12,693
15.6 (13.6–17.9)
1.0 (0.8–1.2)
303
41,637
7.3 (6.5–8.1)
1.2 (1.0–1.4)
Total
780
48,178
16.2 (15.1–17.4)
1,138
159,209
7.1 (6.7–7.6)
Normal weight
APOE*2 carriers
28
2,370
11.8 (8.2–17.1)
0.7 (0.5–0.9)
57
7,289
7.8 (6.0–10.1)
1.0 (0.8–1.4)
APOE 3/3
206
11,314
18.2 (15.9–20.9)
256
38,045
6.7 (6.0–7.6)
APOE*4 carriers
78
5,080
15.4 (12.3–19.2)
1.0 (0.7–1.3)
127
17,305
7.3 (6.2–8.7)
1.3 (0.9–1.7)
Total
312
18,764
16.6 (14.9–18.6)
440
62,639
7.0 (6.4–7.7)
Overweight
APOE*2 carriers
59
3,305
17.9 (13.8–23.0)
1.1 (0.9–1.5)
65
11,064
5.9 (4.6–7.5)
0.9 (0.7–1.1)
APOE 3/3
217
13,573
16.0 (14.0–18.3)
310
45,366
6.8 (6.1–7.6)
APOE*4 carriers
90
6,047
14.9 (12.1–18.3)
0.9 (0.7–1.2)
137
19,398
7.1 (6.0–8.4)
1.2 (1.0–1.5)
Total
366
22,924
16.0 (14.4–17.7)
512
75,827
6.8 (6.2–7.4)
Obese
APOE*2 carriers
14
1,107
12.6 (7.5–21.4)
1.0 (0.5–1.8)
34
3,411
10.0 (7.1–14.0)
1.0 (0.6–1.5)
APOE 3/3
58
3,816
15.2 (11.7–19.7)
113
12,398
9.1 (7.6–11.0)
APOE*4 carriers
30
1,566
19.2 (13.4–27.4)
1.3 (0.9–2.0)
39
4,934
7.9 (5.8–10.8)
1.1 (0.8–1.6)
Total
102
6,489
15.7 (12.9–19.1)
186
20,742
9.0 (7.8–10.4)
Hazard ratios adjusted for sex, waist-hip-ratio, smoking, education level, total serum cholesterol, HDL cholesterol hypertension and diabetes; py: person-years; CI: Confidence interval
Fig. 3
Kaplan Meier survival curves for all-cause mortality by APOE genotypes for normal weight, overweight and obese individuals
×
×
To investigate whether the lower risk of mortality observed among normal weight APOE*2 carriers was due to a lower risk of mortality from CHD, we calculated the HRs separately for CHD mortality. APOE genotype was not significantly associated with CHD mortality. Analysis within BMI strata showed that normal weight APOE*2 carriers tended to have lower risks of CHD mortality (adjusted HR [95% CI] = 0.5 [0.2–1.2]). No differences in the risk of CHD mortality between genotype groups were found in overweight or obese participants (Table 3).
Table 3
Incidence rates and hazard ratios for CHD mortality by APOE genotypes and BMI categories
Follow-up
Incidence rate
Hazard ratio
Follow-up
Incidence rate
Hazard ratio
Deaths
(py)
Deaths/1,000 py (95% CI)
(95% CI)
Deaths
(py)
Deaths/1,000 py (95% CI)
(95% CI)
Before 80 years of age
After 80 years of age
All
APOE*2 carriers
26
6,782
3.8 (2.6–5.6)
1.0 (0.6–1.5)
41
2,103
19.5 (14.4–26.5)
1.1 (0.8–1.5)
APOE 3/3
126
28,703
4.4 (3.7–5.2)
171
8,744
19.6 (16.8–22.7)
APOE*4 carriers
59
12,693
4.6 (3.6–6.0)
1.1 (0.8–1.4)
66
3,472
19.0 (14.9–24.2)
1.1 (0.8–1.4)
Total
211
48,178
4.4 (3.8–5.0)
278
14,319
19.4 (17.3–21.8)
Normal weight
APOE*2 carriers
5
2,370
2.1 (0.9–5.1)
0.5 (0.2–1.2)
15
663
22.6 (13.6–37.5)
1.6 (0.9–2.9)
APOE 3/3
56
11,314
4.9 (3.8–6.4)
48
3,075
15.6 (11.8–20.7)
APOE*4 carriers
26
5,080
5.1 (3.5–7.5)
1.2 (0.7–1.9)
21
1,286
16.3 (10.6–25.1)
1.1 (0.6–1.8)
Total
87
18,764
4.6 (3.8–5.7)
84
5,024
16.7 (13.5–20.7)
Overweight
APOE*2 carriers
16
3,305
4.8 (3.0–7.9)
1.4 (0.8–2.4)
15
989
15.2 (9.1–25.2)
0.7 (0.4–1.3)
APOE 3/3
51
13,573
3.8 (2.9–4.9)
92
4,035
22.8 (18.6–28.0)
APOE*4 carriers
21
6,047
3.5 (2.3–5.3)
0.8 (0.5–1.4)
35
1,619
21.6 (15.5–30.1)
1.0 (0.7–1.5)
Total
88
22,924
3.8 (3.1–4.7)
142
6,643
21.4 (18.1–25.2)
Obese
APOE*2 carriers
5
1,107
4.5 (1.9–10.8)
1.1 (0.4–3.4)
11
450
24.4 (13.5–44.1)
1.4 (0.7–3.1)
APOE 3/3
19
3,816
5.0 (3.2–7.8)
31
1,634
19.0 (13.3–27.0)
APOE*4 carriers
12
1,566
7.7 (4.4–13.5)
1.6 (0.8–3.5)
10
568
17.6 (9.5–32.7)
1.1 (0.5–2.2)
Total
36
6,489
5.5 (4.0–7.7)
52
2,651
19.6 (14.9–25.7)
Hazard ratios adjusted for sex, waist-hip-ratio, smoking, education level, total serum cholesterol, HDL cholesterol hypertension and diabetes; py: person-years; CI: Confidence interval
Discussion
Our study shows that the APOE*2 allele has a protective effect on overall mortality. This protective effect seems to be limited to mortality from CHD. Analyses within BMI strata demonstrated that this genetic advantage of APOE*2 was observed only in normal weight individuals, but not in overweight and obese APOE*2 carriers.
The results of the present analyses may seem to contradict our earlier work in this population. We previously reported that the APOE gene was not significantly related to mortality [12]. While our findings come from the same population, the mean follow-up time of the participants has increased from 5.4 years to 11.1 years and the number of deaths increased by 53% from 18% to 34%. This extended follow-up has improved the statistical power of our study to show a modest effect of APOE genotype on overall mortality. Research on the relationship between APOE and mortality has merely provided conflicting results [6‐19, 34]. Three out of eleven studies showed a protective effect of APOE*2 [6, 14, 18]. and three a deleterious effect of APOE*4 [8‐10]. The latter effect may partly mediated by the increased risk of Alzheimer disease in association with APOE*4 and mortality [10, 11].
Note that our analysis showed small significant difference in the Kaplan-Meier survival curves, demonstrating a protective effect of APOE*2 before age 80. This may be due to the effect of age that becomes apparent when performing survival analysis with age as time scale, as we did in the present paper. Such finding is compatible with previous reports suggesting that genes affecting human lifespan might be age-specific [35]. Genetic and environmental interactions at older ages vary from those at early ages and therefore explain the differences in the association between APOE and mortality before and after 80 years of age. A previous report showed that among nonagenarians, APOE genotype has no effect on cognitive function, cognitive decline or survival [36].
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In line with previous studies [20‐22], we found that the total serum cholesterol levels associated with APOE genotype differed between normal weight, overweight and obese individuals. As expected, mean levels of total serum cholesterol increased with BMI and APOE*2 carriers had the lowest mean total serum cholesterol in each BMI group. APOE*4 carriers had higher cholesterol levels and lower HDL-cholesterol concentrations than APOE*2 carriers despite the presence of a lower BMI and equal WHR. Previous reports showed that APOE genotype, BMI and WHR determine together the lipid levels [20‐22, 37]. However, in our study abdominal fat, as measured by WHR, did not have any effect on the lipid levels by APOE genotype, while BMI was an important determinant. The significant interaction between APOE genotype and BMI in relation to total serum cholesterol found previously [20], was also supported by this study. Although the mechanism of such interaction has not been yet elucidated, evidence suggests that obesity and abdominal fat increase low density lipoprotein cholesterol and therefore total cholesterol at a higher degree among APOE*4 carriers [20‐22, 37]. This is in line with our observation that the deleterious effect of increased BMI prevails over the beneficial effects of the APOE*2 allele. Furthermore, previous research in the Rotterdam Study and the Dutch population indicated that among APOE*2 homozygous carriers, the expression of Hyperlipoproteinemia type III is determined to a great extent by hyperinsulinemia and the presence of insulin resistance syndrome [38], conferring and increased risk of CHD through accelerated atherosclerosis [39].
Although the association between high BMI and high cholesterol levels is well known and the APOE gene is associated with cholesterol levels as previously described, this is the first study that examined the effect of APOE genotype on mortality in BMI strata. We found that presence of the APOE*2 allele was associated with a decreased risk of mortality only in normal weight individuals and that this lower risk was partly explained by lower risk of CHD mortality. These results were in line with the lower total cholesterol and higher HDL levels among normal weight APOE*2 carriers. Our finding that the protective effect of APOE*2 was only found in normal weight individuals suggests that the negative influences of increasing BMI outweigh the positive effects of genetic predisposition. When these results are confirmed by other population-based studies, a challenging question remains whether weight loss in overweight and obese APOE*2 carriers restores the genetic advantage of their APOE status.
Acknowledgements
The Rotterdam Study is supported by the Erasmus Medical Center and Erasmus University Rotterdam, the Netherlands Organization for Scientific Research (NWO), the Netherlands Organization for Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry of Health, Welfare and Sports, the European Commission (DGXII), the Municipality of Rotterdam, and the Centre for Medical Systems Biology (CMSB). The contributions of the general practitioners and pharmacists of the Ommoord district to the Rotterdam Study are greatly acknowledged.
Open Access
This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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Open AccessThis is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
