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Neurobiol Aging. Author manuscript; available in PMC 2014 April 1.
Published in final edited form as:
PMCID: PMC3545094
NIHMSID: NIHMS413027

Apolipoprotein E and Familial Longevity

Abstract

Background

Exceptional longevity is associated with substantial heritability. The ε4 allele in Apolipoprotein E and the linked G allele in rs2075650 of TOMM40 have been associated with increased mortality and the ε2 allele with decreased mortality, although inconsistently.

Methods

Offspring from long lived families and spouse controls were recruited at three sites in the US and in Denmark. We used Generalized Estimating Equations to compare the likelihood of carrying risk alleles in offspring (n=2,307) and spouse controls (n=764), adjusting for age, sex, level of education and family membership.

Results

The likelihood of carrying an APOE ε4 allele or a G allele in rs2075650 was lower (OR=0.75, p =.005 and OR=0.70, p = .002) and the likelihood of carrying an APOE ε2 allele was higher (OR= 1.5, p = .007) among family members in the offspring generation than among their spouse controls.

Conclusions

Our findings support the hypothesis that both reduction in the frequency of the ε4 allele and increase in the frequency of the ε2 allele contribute to longevity.

Keywords: Exceptional longevity, familial longevity, offspring, APOE, TOMM40

1. Introduction

Human exceptional longevity is the outcome of a complex interplay between genetic and environmental influences (McGue et al., 1993; Finch and Tanzi, 1997). Exceptional longevity has been noted to cluster in families and is associated with moderate heritability (Herskind et al., 1996; De Benedictis et al., 2001; Mitchell et al., 2001). In a study of centenarians and their siblings, male and female siblings of centenarians were 17 and 8 times more likely, respectively, to survive to 100 years compared with males and females in their birth cohort (Perls et al., 2002). First degree relatives of individuals who lived beyond 95 years were twice as likely to survive to the same age as were relatives of married in controls (Gudmundsson et al., 2000; Kerber et al., 2001).

Several candidate genes have been investigated to determine their effects on life span and apolipoprotein E (APOE) has consistently emerged as a determinant of longevity (Deelen et al., 2011; Nebel et al., 2011, Sebastiani, 2012). APOE has three common alleles, ε2, ε3 and ε4. The ε4 allele of APOE has been associated with early mortality and a decreased frequency of the allele in the oldest old (Schachter et al., 1994; Tan et al., 2004; McKay et al.2011; Soerensen et al., 2012 ). However, the association of the ε4 allele with mortality risk is inconsistent and varies by population (Galinsky et al., 1997; Bader et al., 1998; Lee et al., 2001). Some studies (Sobel et al., 1995; Ewbank, 2002, 2007) reported that the effect of the ε4 allele on mortality risk diminishes with increasing age, but a recent study in the Danish 1905 cohort showed an increased effect of carrying the ε4 alleles with increasing age (Jacobsen et al., 2010). Recent studies have also identified a variant in TOMM40, marked by the single nucleotide polymorphism (SNP) rs2075650, which is associated with longevity, but is close to and in linkage disequilibrium with rs429358, the marker for the APOE ε4 allele (Deelen et al., 2011; Nebel et al., 2011; Sebastiani et al., 2012).

Since longevity is heritable, a family based study design may serve well to address the question of the relation of APOE to longevity. Mortality associated with the presence of a risk allele may lead to reduced frequencies of risk alleles in the parental generation. Thus, it may be more informative to examine if there is a reduced frequency of risk alleles in offspring of people achieving exceptional longevity, where mortality is unlikely to confound the association between genetic risk factors and longevity. We examined the likelihood of carrying an APOE ε4 or ε2 allele and distribution of the TOMM40 SNP rs2075650 in the offspring generation of the Long Life Family Study (LLFS). We hypothesized that offspring of Long Life Family Study members would have a decreased frequency of the APOE ε4 allele, a decreased frequency of the G allele in TOMM40 rs2075650 and an increased frequency of the APOE ε2 allele compared with similarly aged peers not selected for familial longevity.

2. Methods

Long-lived individuals, their siblings and their offspring were recruited for an examination that characterized key intermediate phenotypes of longevity, including major chronic diseases, risk factors, and physical and cognitive function. A referent group consisting of the spouses, primarily of the offspring generation, was also recruited and examined. For this study, we restricted the analysis to the offspring generation and the examined sons/daughters/nieces/nephews (n=2,314) and their spouses (n=773).

2.1 Recruitment

In the United States (US), each field center used Center for Medicare and Medicaid Services (CMS) lists to mail a recruitment brochure to people who were at least 79 years old on January 1, 2005; had no recorded date of death; did not have end-stage renal disease or were not in hospice programs; and lived within 3 hours driving distance of one of the 3 US study centers (Boston University, Columbia University, and the University of Pittsburgh). Mailings were performed in collaboration with CMS and the National Institute on Aging via an Intra-Agency Agreement. Study participants were also recruited from the community using web-based media and newspaper advertisements, mailing lists obtained through local government agencies, purchased public domain lists from various commercial vendors and community presentations at churches and senior centers. The University of Southern Denmark study site first identified individuals who would be aged 90 and above during the study recruitment period through the Danish National Register of Persons, which contains current information on names, including past names such as maiden names for women, addresses, place of birth, marriages, and vital status (Pedersen et al., 2006). Second, using information on the place of birth and the names, parish registers available in regional archives were searched to locate the parents of the elderly individuals in order to identify sibships. Based on the above information, potentially eligible families were identified and contact was made with potential probands to further assess the family’s eligibility for and willingness to participate in the LLFS using criteria parallel to that used in the United States. Recruitment, informed consent and study procedures were approved by the Institutional Review Boards of all participating sites.

2.2 Eligibility and Enrollment

The Family Longevity Selection Score (FLoSS) was developed by the LLFS study in order to rank longevity among families based on birth-year cohort survival probabilities of the proband and siblings (Sebastiani et al., 2009). On screening, a FLoSS of 7 or more was required for a family to be eligible. If a proband’s family was FLoSS eligible, they also had to meet the following criteria: the proband and at least one living sibling were able to give informed consent and willing to participate in the in-person interview and examination, including providing blood for serum and for extraction of DNA; and either the proband or a sibling had a living offspring willing to participate. A minimum of two siblings and one offspring was required for the key triad. Additionally, we recruited and enrolled the spouses of interested individuals, primarily in the offspring generation, to serve as a comparison group ascertained from the same source populations, but not selected for familial longevity. Spouse controls were employed to adjust for characteristics of individuals within a family which are likely to be correlated. Prior to examination, written informed consent was obtained from all enrollees. The Institutional Review Boards at of all of the Field Centers and the Data Management and Coordinating Center (Washington University, St. Louis) in the USA reviewed and approved this project and the regional Institutional Review Board in Denmark reviewed and approved this project.

2.3 Genotyping

Among offspring and their married-in controls, we were able to genotype APOE for 2,307 of 2,371 (97.3%) offspring of probands and their siblings and 764 of 793 (96.3%) spouse controls. We were able to genotype the TOMM40 SNP rs2075650 for 2,274 (95.9%) offspring and 746 (94.1%) married-in controls. Of the 3,071 participants in the analysis, 983 (32.0%) were Danish.

Genotyping of APOE polymorphisms was based on SNPs rs7412 and rs429358 and was performed at the Biomedical Genomics Center (BMGC) at the University of Minnesota. Genotyping was performed using the Taqman genotyping platform and concordance among genotypes for both SNPs was 100% based on 51 blinded duplicates. We also sequenced DNA from 12 samples with different APOE genotypes to assure correct assignment of alleles. Genotyping of the TOMM40 SNP rs2075650 was performed as part of the Long Life Family Study genome wide association study (GWAS) and was typed via the Illumina HumanOmni 2.5 at the Center for Inherited Disease Research at Johns Hopkins University. Participants were classified by the presence or absence of the APOE ε4 and ε2 alleles, and as carrying one or more G alleles at rs2075650.

2.5. Statistical Analysis

Prior to association analysis, we tested all SNPs for Hardy-Weinberg Equilibrium (HWE) using the HAPLOVIEW program (Barrett et al., 2005; Barrett, 2009) and we did not find deviations of genotype frequencies from HWE for any of the SNPs. To minimize population stratification, analysis was restricted to subjects of White ethnicity, resulting in the loss of 8 spouses (1%) and 5 relatives (0.2%) from the analysis. We used logistic regression procedures in Generalized Estimating Equations (GEE) to estimate the likelihood of carrying one or more APOE ε4, one or more APOE ε2 alleles or one or more rs2075650 G alleles in TOMM40. GEE adjusts for the relatedness of the LLFS offspring and controls and for the possibility that the characteristics of family members are correlated by both shared genetics and shared environment, by treating family membership as a cluster. LLFS offspring were compared with spouse controls, adjusting for age, sex, level of education, and family membership (Model A) and then adjusting for age, sex, level of education, family membership and a history myocardial infarction, hypertension, stroke, diabetes and Parkinson’s disease (Model B). In the offspring generation, only 2 people were reported as suffering from dementia, so we did not include dementia as a covariate for these analyses. SNPS in TOMM40 have been shown to be in linkage disequilibrium with the APOE ε4 allele and it has been suggested that rs2075650 may not have an independent effect on longevity (Deelen et al., 2011; Nebel et al., 2011; Sebastiani et al., 2012). To examine this possibility we repeated the analysis for TOMM40 including APOE in the model as a covariate, and also among those with the APOE ε3/ε3 genotype.

3. Results

LLFS offspring and their spouse controls did not differ in mean age at assessment (60.5 vs. 60.9, respectively). The average number of years of education was slightly but significantly higher among LLFS offspring compared with spouse controls (12.6 vs. 12.1)(Table 1). LLFS offspring were also more likely to be female than spouse controls (57.7% vs. 47.3%) and less likely to have a history of hypertension (29.4% vs.33.9%), but did not differ from spouse controls in the frequency of a history of myocardial infarction, history of stroke, diabetes or Parkinson’s disease (Table 1).

TABLE 1
Demographic Characteristics

Compared with spouse controls, the likelihood of carrying one or more ε4 alleles was 25% lower among LLFS offspring (OR= 0.75, 95% CI: 0.6–0.9), adjusting for age, sex, education and family membership and did not change when the additional covariates were added to the model (Table 2, Model A, Model B). When the presence or absence of the G allele in rs2075650 of TOMM40 was added to the model, the relationship between offspring and the likelihood of G allele was attenuated (OR= 0.9, 95% CI 0.7–1.2) (data not shown). Compared with spouse controls, the likelihood of carrying one or more ε2 alleles was 50% higher among offspring (OR= 1.5, 95% CI: 1.1–1.9), adjusting for covariates (Table 2, Model A, Model B).

TABLE 2
Likelihood of carrying the APOE ε4 allele and APOE ε2 allele by relative group

We confirmed findings from previous studies that rs2075650 in TOMM40 is in moderate linkage disequilibrium with the APOE ε4 allele (Figure 1). Compared with spouse controls, the likelihood of carrying one or more G alleles was 30% lower among LLFS offspring (OR= 0.70, 95% CI: 0.6–0.9), adjusting for covariates (Table 3, Model A, Model B). When the APOE ε4 allele was added to the model, the relationship between offspring and the likelihood of G allele was attenuated (OR= 0.8, 95% CI 0.6–1.1) (data not shown). Among those with the APOE ε3/ε3 genotype, the likelihood of carrying one or more G alleles remained 30% lower in offspring than in controls (OR= 0.7, 95% CI, 0.5–1.05), but the difference was not statistically significant.

Figure 1
Linkage disequilibrium patterns for SNPs in APOE and TOMM40
Table 3
Likelihood of carrying the rs2075650 G allele in TOMM40 by relative group and among those with the APOE e3/e3 genotype

4. Discussion

Overall, we found that the likelihood of carrying an APOE ε4 allele was lower and the likelihood of carrying an APOE ε2 allele was higher among LLFS family members in the offspring generation than among similarly aged spouse controls. These findings support the hypotheses that the absence of the ε4 allele and presence of the ε2 allele are associated with longevity. Adjustment for common age-related, potentially confounding conditions, including stroke, heart disease, hypertension, diabetes and Parkinson’s disease did not change the pattern of results.

Previous studies have reported lower APOE ε4 allele frequencies in older compared with younger cohorts (Davignon et al., 1988; Kervinen et al., 1994; Rebeck et al., 1994; Schachter et al., 1994; van Bockxmeer, 1994), suggesting that the ε4 allele increases risk for mortality. In this study, we found a lower APOE ε4 allele frequency in a relatively young cohort of offspring of long-lived individuals, before substantial mortality has occurred: thus the reduced frequency of the ε4 allele is the oldest old may not be due to early mortality but to a heritable lower frequency of the risk allele, reducing risk for APOE related disease. Previous studies have suggested that the APOE ε2 allele is associated with longevity, although inconsistently (Schachter et al., 1994; Louhija et al., 1995; Hirose et al, 1997). We also observed a significantly higher frequency of the ε2 allele in offspring of long-lived individuals, consistent with an association of the ε2 allele and longevity in the parent generation. In some studies of older cohorts, however, including studies of Canadian British, and Italian elders, and a randomly chosen Han Chinese population, the frequency of the ε2 allele was similar in the older and younger cohorts, and the frequency of the ε4 allele was not consistently lower in the older cohort (Davignon et al., 1988; Galinsky et al., 1997; Bader et al., 1998; Jian-Gang et al., 1998). In the multi-ethnic WHICAP cohort, mortality risks associated with APOE genotype differed significantly by ethnic group (Lee et al., 2001). These differences underscore the importance of taking ethnicity into account when interpreting associations of genetic data with specific phenotypes and suggest that the impact of APOE risk alleles is likely to be influence by other genetic and environmental factors.

We also found that the frequency and likelihood of carrying a G allele in rs2075650 of TOMM40 was lower among offspring in the Long Life Family Study, compared with the likelihood in married-in controls. Recent genome wide association studies in German, Dutch, Danish and USA Caucasian cohorts of long lived individuals identified rs2075650 in TOMM40 as associated with longevity (Deelen et al., 2011; Nebel et al., 2011; Sebastiani et al., 2012), but also close to and in linkage disequilibrium with the rs429358, the APOE ε4 allele, and the investigators suggested that rs2075650 may not have an independent effect on longevity. Consistent with these analyses, we found that addition of the ε4 allele to our models, attenuated the association between offspring and the likelihood of carrying the G allele. When the analysis was restricted to those with the APOE ε3/ε3, genotype the association of offspring with the likelihood of carrying the G allele was not attenuated, but failed to reach statistical significance. Replication of this association in other long lived cohorts will be needed to elucidate these results.

The limitations of the study include relatively small sample sizes and restriction of the analysis to Caucasians. It would be of interest to examine a wide range of populations of differing ethnicity and ancestry. Additionally, there is some selection bias amongst the older generation of the LLFS for cognitively intact subjects due to the inclusion criteria.

5. Conclusions

Our findings support the hypothesis that reduction in the frequency of the ε4 allele, an increase in the frequency of the ε2 allele contribute to longevity. The decreased allelic frequency of the ε4 allele, increased frequency of the ε2 allele and decreased frequency of the rs2075650 G allele in TOMM40 in LLFS family members compared with controls, and similarities or discrepancies in these associations in other studies suggests the need for follow-up functional studies to better understand the role of these genetic factors and their interactions with other genetic and environmental factors in survival to extreme old age.

Acknowledgments

LLFS: Sponsored by the National Institute on Aging (NIA cooperative agreements U01-AG023712, U01-AG23744, U01-AG023746, U01-AG023749, and U01-AG023755). The Danish 1905-cohort is funded by NIH/NIA, P01 AG08761. The Danish Aging Research Center is funded by the VELUX Foundation.

Footnotes

Disclosure Statement. All authors have contributed to this work and approved the contents of this manuscript. There are no actual or potential conflicts of interest and noauthor has any financial interest in the study or its findings.

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