Alteration of single genes involved in nutrient and lipoprotein metabolism increases longevity in several animal models. Because exceptional longevity in humans is familial, it is likely that polymorphisms in genes favorably influence certain phenotypes and increase the likelihood of exceptional longevity. A group of Ashkenazi Jewish centenarians ( n = 213), their offspring ( n = 216), and an age-matched Ashkenazi control group ( n = 258) were genotyped for 66 polymorphisms in 36 candidate genes related to cardiovascular disease (CVD). These genes were tested for association with serum lipoprotein levels and particle sizes, apolipoprotein A1, B, and C-3 levels and with outcomes of hypertension, insulin resistance, and mortality. The prevalence of homozygosity for the −641C allele in the APOC3 promoter (rs2542052) was higher in centenarians (25%) and their offspring (20%) than in controls (10%) ( p = 0.0001 and p = 0.001, respectively). This genotype was associated with significantly lower serum levels of APOC3 and a favorable pattern of lipoprotein levels and sizes. We found a lower prevalence of hypertension and greater insulin sensitivity in the −641C homozygotes, suggesting a protective effect against CVD and the metabolic syndrome. Finally, in a prospectively studied cohort, a significant survival advantage was demonstrated in those with the favorable −641C homozygote ( p < 0.0001). Homozygosity for the APOC3 −641C allele is associated with a favorable lipoprotein profile, cardiovascular health, insulin sensitivity, and longevity. Because modulation of lipoproteins is also seen in genetically altered longevity models, it may be a common pathway influencing lifespan from nematodes to humans.
Citation: Atzmon G, Rincon M, Schechter CB, Shuldiner AR, Lipton RB, et al. (2006) Lipoprotein Genotype and Conserved Pathway for Exceptional Longevity in Humans. PLoS Biol 4(4): e113. doi:10.1371/journal.pbio.0040113
Academic Editor: Simon Melov, Buck Institute, United States of America
Received: July 13, 2005; Accepted: February 9, 2006; Published: April 4, 2006
Copyright: © 2006 Atzmon et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work has been supported by grants from the Paul Beeson Physician Faculty Scholar in Aging Award, the Ellison Medical Foundation Senior Scholar Award, NIH RO1 (AG-18728–01A1), the General Clinical Research Center (NIH M01-RR12248), and Diabetes Research and Training Center (NIH DK 20541) at the Albert Einstein College of Medicine, and the Baltimore VA Geriatric Research and Education Clinical Center.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: APOA-1, apolipoprotein A-1; APOA4 , apolipoprotein A4 gene; APOC3, apolipoprotein C3; APOC3 , apolipoprotein C3 gene; CETP , cholesterol ester transfer protein gene; CV, coefficient of variance; CVD, cardiovascular disease; DM, diabetes mellitus; HDL, high density lipoprotein cholesterol; LD, linkage disequalibrium; LDL, low density lipoprotein cholesterol; SNP, single nucleotide polymorphisms; TG, triglycerides; VV, valine-valine
Manipulation of single genes can confer longevity in lower organisms, supporting the notion that understanding pathways for exceptional longevity may be possible in humans. Because the contribution of genetics to lifespan is estimated to be only ̃20%, a way to enhance the odds of identifying genetic factors is to study those with very exceptional survival . Favorable modulation of aging processes and disease susceptibility is strongly inherited in families with exceptional longevity [2, 3]. Current centenarians have survived to more than double their life expectancy at birth, and have often been spared from age-related diseases, specifically cardiovascular disease (CVD), Alzheimer disease, diabetes mellitus (DM), and cancer . Furthermore, evidence suggests that the offspring of centenarians may inherit protection against major causes of mortality, because they have approximately 50% lower prevalence of these major diseases than control groups .
Because of the strong heritability of this survival advantage, we began a search for gene variants that could explain the extended life of centenarians and their families among a genetically homogeneous population of Ashkenazi Jews. Crucial to our approach is the knowledge that only 1/10,000 survives to 100 y, while the average lifespan in the US is ̃77 y. Thus, enrichment in the frequency of certain gene variants at extreme old age probably reflects a selection effect that increases the likelihood of survival. Here we test if polymorphisms in certain candidate genes are significantly more frequent in centenarians than in younger participants. Given that the extreme old age of the probands precludes the use of a proper age-matched control group for analysis of traits that may be related to exceptional longevity, (e.g., lipoprotein levels), we also recruited their offspring, many of whom presumably inherited longevity gene variants and thus should also manifest the longevity phenotype. We reasoned that this approach would permit comparison of the offspring to age-matched controls who would not be expected to be enriched with longevity gene variants, thereby accounting for period and cohort effects and phenotypic variation that may occur at older age .
We recently reported that lipoprotein particle sizes are increased in centenarians and their offspring, and suggested that this trait may increase the likelihood of attaining exceptional longevity . This phenotype was also associated with approximately a 3-fold increased frequency of homozygosity (valine–valine [VV]) of a common functional variant (I405V) in the cholesterol ester transfer protein (CETP) gene, and decreased CETP levels. Further, through a genome-wide scan, Geesaman and coworkers found increased frequency of polymorphisms in the microsomal transfer protein in centenarian sibling pairs but not in other populations . Here we implicate a polymorphism in the apolipoprotein C3 gene (APOC3), yet another gene regulating lipoprotein metabolism, in human longevity. We further report association of this same polymorphism with decreased serum apolipoprotein C3 (APOC3) levels, and favorable lipoprotein profile, outcomes of age-related disease, and lifespan.
We reasoned that due to selective mortality, favorable genotypes will be present at higher frequency among centenarians than in younger controls. We studied 66 single nucleotide polymorphisms (SNP) in 36 candidate genes in pathways related to lipoprotein metabolism and other risk factors for CVD. After applying the Bonferroni correction for multiple comparisons, two of the associations with exceptional longevity remained statistically significant. Analysis of the frequency trend with age (in centenarian and control groups combined) for polymorphisms in APOC3 and CETP (Figure 1), revealed a highly significant ( p < 0.0006; β = 1.89 [95% CI, 0.2–3.6]) monotonically increasing frequency trend for homozygosity for the APOC3 −641 C allele (CC)(rs2542052), and near-significance (β = 3.06 [95% CI, 0.33–5.8, p = 0.069]) for homozygosity for the CETP codon 405 valine allele (VV)(rs5882). The CC genotype at position −641 of APOC3 had a prevalence of 25% among the centenarians and 20% in their offspring compared with only 10% in controls ( p = 0.0001 and p = 0.001, respectively). Five additional SNPs in APOC3 and six SNPs in CETP (Figure 2) showed no evidence of association with longevity. Conversely, the prevalence of the APOC3 AA genotype was reduced in both centenarians and their offspring compared with controls ( p = 0.001 both) (Figure 3A).
The genotype frequencies of the favorable gene polymorphisms of APOC3 C(− 641)A and CETP I405V were analyzed in controls and probands (60 to 100 y old). (Offspring were not included in this analysis due to the genotype dependency of this group on proband genotypes.) The frequency of these two variants was found to be higher among centenarians, with a monotonic increase with age. Other polymorphisms in these same genes ( APOC3 (−455) TT, APOA4 347 TT, and APOA4 360 EE) showed no differences in genotype frequency with age.
Ordinal arrangement of 15 SNP associated with CVD and lipoprotein metabolism, according to their position on chromosomes with LD (number in boxes) where the highest rate is represented in red and no LD in lilac. Blocks define potential haplotypes between two clustered genes.
(A) APOC3 and APOA4.
(A) APOC3 C(−641)A.
(B) Serum APOC3.
* p < 0.05, ** p = 0.001 versus control.
CC, homozygous for (−641) C; AA, homozygous for (−641) A; CA, heterozygous for (−641) C/A.
Linkage disequilibrium (LD) analysis of the CETP gene revealed that the single nucleotide polymorphism rs1800776 was in LD with rs1800775 just 2 bp apart (D′ = 0.94; r2 = 0.20) (Figure 2). Haplotype analysis with these two SNP revealed that the C-A haplotype was statistically significantly more prevalent among individuals in the control group compared with centenarian probands (0.355 versus 0.278, p <0.004). LD analysis revealed LD across the neighboring apolipoprotein A4 (APOA4) and apolipoprotein C3 (APOC3) genes as previously reported by others (Figure 2) . In haplotype analysis, the prevalence of the A-C haplotype (corresponding to SNP rs675 in APOA4 and rs2542052 in APOC3) was significantly higher among the centenarian probands compared with controls (0.498 versus 0.344, p < 10−8). The prevalence of the A-A haplotype of the same SNPs was significantly higher among the control group compared with probands (0.483 versus 0.307, p < 10−10). Association analysis between various haplotypes of the APOC3/ APOA4 and lipid profile was not significant, neither when the most prevalent haplotypes in the two groups were compared, (CA versus AA) nor the haplotypes that contain the favorable APOC3 allele. The only trend for association ( p < 0.07) between haplotype and lipoprotein was for LDL. This suggests that the single genotype APOC3 CC is more prominent in the phenotypes.
APOC3 and CETP encode gene products involved in lipoprotein metabolism and thus the favorable alleles showing monotonic increases in allele frequencies among older age strata would also be expected to be associated with a favorable lipoprotein profile. Indeed, participants of all groups carrying the APOC3 −641 CC genotype had lower serum levels of APOC3 compared with those carrying either CA or AA (CA/AA) genotype (mean [SE]: 10.1 [1.1] versus 13.2 [1.1] mg/dl, p < 0.05). Given the higher prevalence of this genotype in centenarians, it is therefore not surprising that serum levels of APOC3 were lower in centenarians and their offspring than in controls (mean [SE]: 9.8 [0.6], 9.3 [0.5] versus 11.7 [0.7] mg/dl; p < 0.05 and 0.01, respectively) (Figure 3B).
Relationships between other lipoprotein traits and APOC3 −641 CC genotype are shown in Table 1. Due to the dependency of lipoprotein traits on age and their modifiability with medications, we only considered offspring ( n = 131) and controls ( n = 126) not using lipid lowering drugs in this analysis. In females, triglycerides (TG), high density lipoprotein cholesterol (HDL), and their ratio, as well as low density lipoprotein cholesterol (LDL) lipoprotein particle size were significantly more favorable among those with the CC genotype compared to the CA/AA genotypes. The same trends were observed in most of the associations in men. Since there was no significant interaction between gender and genotypes, we present also the combined group of females and males and their significance. As shown in Table 1 the combined group also exhibited significant associations with lipoproteins according to APOC3 CC genotype.
Comparison of Lipoprotein Traits in Females, Males, and All (Combined Offspring and Control Group) Who Were Not on Lipid-Lowering Drugs by APOC3 C(−641)A Genotype
Given that insulin resistance is associated with lipid abnormalities, CVD, and death in the elderly , we estimated insulin sensitivity using the homeostatic model assessment . The favorable APOC3 −641 CC genotype was associated with greater insulin sensitivity in the combined offspring/control group ( p < 0.05, both male and female) (Figure 4A).
All include offspring plus controls.
(A) Insulin sensitivity.
* p = 0.05
CC, homozygous for (−641) C; CA/AA, homozygous and heterozygous for (−641) A.
The most prevalent CVD marker in an aging population is progressive increase in blood pressure. Therefore, this trait was examined in our participants as a surrogate for vascular aging. The prevalence of hypertension (as defined in the VII Report of the Joint National Commission on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure)  was significantly lower among those with the APOC3 −641 CC genotype than among those with CA/AA genotypes ( p = 0.04) (Figure 4B). Since existing CVD can lead to reductions in blood pressure, we repeated the test after excluding all participants with CVD from the analysis. Still, hypertension was less prevalent in those with the favorable APOC3 CC genotype (prevalence of hypertension in participants carrying the APOC3 CC genotype was 28.6% compared with 44% in the CA/AA group, p = 0.026). Other known variants of the APOC3 gene: C(−482)T, T(−455)C, C1100T, C3175G, and T3206G, (rs2854117, rs2854116, rs4520, rs5128, and rs4225, respectively) were not associated with TG levels, insulin sensitivity, or blood pressure.
Of the 381 participants we have genotyped since 1998, 64 had the CC genotype. To describe the relationship between genotype and death, we plotted the Kaplan-Meier survival function estimates of study participants by APOC3 genotype (Figure 5). Survival was significantly greater among CC genotype carriers ( p = 0.0007).
Of the 381 participants we genotyped since 1998, 64 had the −641 CC genotype. To describe the relationship between genotype and death, we plotted the Kaplan–Meier survival function estimates of probands and controls by APOC3 genotype. Offspring were excluded in this analysis because all participants are currently alive and offspring genotype/phenotype is not independent of the probands.
Log-Rank ( p = 0.0008); Wilcoxon ( p = 0.0007).
CC, homozygous for (−641) C; CA/AA, homozygous and heterozygous for (−641) A.
APOC3 is a major component of very low density lipoproteins and chylomicron remnants; it is also a minor component of HDL . In vitro, it has been shown to inhibit the activity of lipoprotein lipase, resulting in delayed TG clearance from plasma . Several studies have shown that various polymorphisms of the APOC3 gene either within the promoter region, in particular the T-455C variant polymorphism in the insulin response element, or in the gene, are associated with elevated TG levels but not with significant change in APOC3 levels [13–17]. Previous studies have also associated high levels of APOC3 with macrovascular and microvascular disease and their risks. Increased APOC3 levels were a significant indicator of coronary risk in men and in patients with metabolic syndrome. In particular, those with vascular disease and metabolic syndrome had a markedly increased probability of coronary heart disease in an allele-specific way , and in patients with type 2 diabetes predisposition . While few studies have correlated both unfavorable APOC3 promoter genotypes and high APOC3 levels with outcome [21, 22], our study is the first to our knowledge to implicate a genotype with low levels of APOC3 and a favorable lipid phenotype with better outcomes related to longer lifespan. Murine models expressing one to 100 copies of the human APOC3 gene had high levels of APOC3 and were hypertriglyceridemic . APOC3 knockout mice show absent or decreased APOC3 protein with reduced TG levels , even in the presence of streptozotocin-induced diabetes . The impact on lifespan has not, however, been determined in these models.
We hypothesized that since only one out of 10,000 people in the general population has survived to 100 y, there should be potent enrichment for favorable genotypes in this unique population. The monotonic, progressive over-representation of the APOC3 −641 CC genotype with increasing age, from a relatively infrequent 10% at age ̃60 y to 25% in individuals surviving to age ̃100 y is statistically robust and provides evidence that this genotype provides a selective advantage for survival to exceptional old age. Underlying population stratification could be responsible for genotypic associations detected in case-control studies, but this is much less likely in this relatively homogeneous Ashkenazi population. Furthermore, we demonstrated association of this same genotype with survival in a prospectively followed cohort. Finally, the prevalence of heterozygosity for recessive disease alleles (nearly) unique to the Ashkenazi population, e.g., breast cancer and Tay-Sachs disease, did not differ significantly between longevity cases and controls, suggesting the lack of population stratification (unpublished data).
In addition to showing statistical associations of the APOC3 genotype with exceptional longevity, we found significant associations between this genotype and several intermediate longevity-associated traits directly related to lipoproteins. First, serum APOC3 levels were significantly (̃30%) decreased in our participants with the favorable APOC3 genotype. Second, lipid profiles were altered in the expected (favorable) direction in participants with this genotype. Finally, this favorable genotype was associated with reduced insulin resistance and less hypertension. These findings suggest that the APOC3 genotype may have favorable pleiotrophic effects on a number of cardiovascular traits and mortality.
Interestingly, while a recent study found that the phenotypic effects of APOC3 polymorphisms are modified by dietary polyunsaturated fatty acids , the interactions of APOC3 levels with exercise, body mass index or other environmental effect have not been well studied. Our population by genotype had similar body mass index, suggesting that body weight is not strongly modulated by genotype.
The APOC3 gene is located on the long arm of Chromosome 11q23, in tandem with the apolipoprotein A1 and A4 genes [8, 26]. The APO A1-C3-A4-A5 gene cluster has been studied extensively in relation to lipoproteins and CVD, and most recently in the oldest old [8, 27, 28]. Given LD within this gene cluster, we cannot rule out the possibility that the associations we have demonstrated may be due to other functional SNP within this gene cluster. However, our observation that the APOC3 −641 CC genotype associates with APOC3 levels suggests that this is a functional SNP or is marking a functional SNP within this gene. Further functional studies will be required to determine if this promoter variant directly results in a decrease in transcription.
Our haplotype analysis revealed a 2-SNP haplotype spanning both APOA4 and APOC3. One haplotype, AA in SNPs (rs675 and rs2542052, respectively), was found to be significantly more prevalent among controls, whereas the AC haplotype was significantly more prevalent among centenarians. The association between these two genes and plasma lipids levels in populations has been reported elsewhere [8, 27, 28]. Thus, sequence variants in partial LD that constitute one or more haplotypes across more than one of these apolipoprotein genes may influence longevity. However, our findings that Apolipoprotein A1 and Apolipoprotein B levels are not altered by APOC3 genotype, suggest that the effect of the genotype on the lipoprotein phenotype is mainly mediated by mechanisms that do not involve alterations of these apolipoproteins.
We have also shown an association of the APOC3 −641 CC genotype with increased insulin sensitivity as measured by homeostatic model assessment. There are known polymorphisms of the APOC3 promoter within an insulin response element that affect the level of transcription in response to insulin in vitro . In vivo, APOC3 transcription seems to be dependant on insulin, among other factors . Although the −641 variant is not located within the insulin response element of the APOC3 gene, the favorable CC genotype was strongly associated with a better insulin sensitivity estimated by the homeostatic model assessment. This can potentially contribute to healthier aging in individuals with the APOC3 −641 CC genotype.
While the potential genetic pathways underlying human exceptional longevity remain largely unknown, pathways involved in lipoprotein metabolism appear to have important influences on longevity in humans. First, the CVD-protective phenotypes of high HDL and large lipoprotein particles sizes are dramatically expressed in our centenarians, and were confirmed in Japanese centenarians , and oldest old Italians . Second, a variant in the CETP gene  is over-represented in our centenarians, a finding that was confirmed in oldest old Italians . Low CETP levels, which were explained in part by this CETP variant, were observed in our study  and in Japanese centenarians . Sequence variants in another lipoprotein gene, the microsomal transfer protein gene, were implicated in another study of centenarians . This study adds APOC3 to the list of lipoprotein genes that may influence exceptional longevity . Interestingly, all these genes are involved in different steps of lipoprotein metabolism and could potentially be additive in their effects.
While the concept that alteration of gene expression or function of a particular gene can alter lifespan has been demonstrated convincingly in lower animal models, it is important to determine if those same genes and mechanisms are relevant to the complex biology of mammals and humans. Evidence to support such a connection are the findings that abnormal nematode daf-16 (a transcription factor) or daf-2 (insulin/IGF-1 receptor homolog) causes juvenile animals to enter a state of diapause, called dauer, instead of achieving adulthood, thereby extending lifespan . Both of these genes are part of the insulin–IGF-I signaling pathway, which has been implicated in longevity in mice . Notably the expression of vitellogenin (yolk protein/apolipoprotein-like) genes (vit-2 and vit-5) decreases as lifespan increases . This hypothesis has been independently examined in honeybees where the vitellogenin lipoprotein is associated with both modulation of immune function and longevity . We suggest that modulation of apolipoprotein expression could represent one conserved mechanism of life extension influencing lifespan across species from nematodes to humans . Furthermore, one of the regulators of APOC3 expression is Forkhead Box O1 (FOXO-1), a forkhead transcription factor that mediates insulin action [29, 30], which is the homolog of the nematode's daf-16 [33, 37]. Deletion of the FOXO-1 binding site in mouse hepatocytes annuls the inhibitory action of insulin on hepatic expression of APOC3, and animals that constitutively express active FOXO-1 have hypertriglyceridemia . Whether this example is relevant to longevity of mammalian models is not known.
Genetic determinants of human longevity are likely to be multifactorial and polygenic. Thus, polymorphisms in apolipoproteins and related genes are likely to be only one of several potential pathways in which genetic variants influence longevity. Our approach—to exploit the potent selection of favorable genotypes in exceptionally aged individuals—can be extended to other candidate genes as well as genome-wide analysis. Replications of observed associations of genotypes with longevity, coupled with functional studies to define the mechanisms whereby specific genotypes influence longevity-associated phenotypes, will provide important new understandings of killing diseases and the aging process. These new understandings could potentially provide insights into preventive and therapeutic interventions for several age-related diseases that impart significant morbidity and mortality among elderly individuals.
Materials and Methods
Study design and participants
In this case-control study, Ashkenazi Jews were recruited as described elsewhere [5, 6]. The Ashkenazi population is believed to have descended from a small group of founders based on both historical records and modern genetic evidence. The advantage of using founder populations is that the genetic determinants of a particular disease may be more homogeneous and easier to define, and false positive results due to population stratification is less likely . Indeed, specific mutations in a number of disease genes (e.g., breast cancer gene 1, breast cancer gene 2, adenomatosis polyposis coli gene, hereditary prostrate cancer gene) have been initially identified in the Ashkenazi population at prevalence rates consistent with a founder effect [40–44]. Stratification in these studies has not been required, and indeed these genes were later implicated in other populations, too [45, 46].
Two hundred and thirteen probands with exceptional longevity (157 females and 56 males, age 98.2 (0.36) y [mean (SE)], range 95–107 y; 48% over the age of 100 y) were recruited to participate in the study. The participants' ages were defined by birth certificates or dates of birth as stated on passports. Probands were required to have been living independently when they were 95 y of age as a reflection of good health, although at the time of recruitment they could be at any level of dependency. In addition, probands were required to have a child who was willing to participate in the study. The offspring group consisted of 122 females and 94 males (age 68.3 [0.45] y, range 51–89 y). The control group included 258 participants derived from two sources: Ashkenazi Jews from the general population recruited by the Einstein Aging Study and spouses of the recruited offspring. The study sample included 183 participants with mean age 71.3 (0.67) y, 57% female . Spouses of offspring included 75 participants with mean age 70.2 (1.17) y, 53% female. These controls as a comparison group similar in age to the offspring are important to overcome the limitation of a cross-sectional sample, because the effects of age on genotype, phenotype (APOC3 levels, lipids etc.), and outcomes (hypertension and longevity) are minimized. Written informed consent was obtained and the study was approved by the Committee on Clinical Investigations of the Albert Einstein College of Medicine.
A research nurse visited the research participants in the morning to obtain a medical history, perform a physical examination, and draw a fasting venous blood sample. Standardized health histories were obtained using a questionnaire. At that visit, the offspring and the participating spouses underwent similar evaluations, as previously described [5, 6]. Systolic (first phase) and diastolic (fifth phase) blood pressure were obtained twice, using a standard sphygmomanometer with the patient sitting for at least five minutes, and hypertension was defined according to Joint National Commission VII guidelines . EAS controls underwent a similar evaluation in an outpatient research center at our institution. All blood samples for centenarians, offspring, and controls were processed at the General Clinical Research Center at Albert Einstein College of Medicine, at the clinical laboratories of Montefiore Medical Center Laboratories (Albert Einstein College of Medicine, Bronx, New York, United States), and at LipoScience (Raleigh, North Carolina, Unites States).
Lipids and lipoproteins
Total plasma cholesterol, TG, HDL, LDL, APOA1, and apolipoprotein B concentrations for study participants were measured by standard automated methods at the clinical laboratories of Montefiore Medical Center (coefficient of variance [CV] ranged 2.5%–3.5%). APOC3 concentrations in human serum were measured by ELISA using a commercially available kit (Wako Chemicals USA, Richmond, Virginia, United States) (CV ranged 2%–5%).
LDL and HDL subclass levels and mean particle sizes were determined for all participants by proton nuclear magnetic resonance spectroscopy at LipoScience. Each nuclear magnetic resonance measurement produces the concentrations of three LDL subclasses and five HDL subclasses of varying size, as previously described  (CV ranged between 3.3 and 5.4). Insulin levels were measured by polyclonal immunoassay at the Hormone Assay Core of the Diabetes Research and Training Center of the Albert Einstein College of Medicine (CV of 8.4%).
A multilocus polymerase chain reaction–based assay was utilized to genotype known polymorphisms of APOC3 on Chromosome 11q: C(−641)A, C(−482)T, T(−455)C, C1100T, C3175G, T3206G. Briefly, DNA was amplified using multiplex reaction containing biotinylated primer pairs. Amplified fragments within each polymerase chain reaction product pool were then detected colorimetrically with sequence-specific oligonucleotide probes immobilized in a linear array on nylon membranes strips. Probe specificities had previously been confirmed by sequencing and by use of DNA genotyped independently through other methods such as restriction length polymorphism analysis .
Pairwise crude comparisons of lipid levels and lipid particle sizes among the study groups were carried out using the Mann-Whitney U-test because the distributions were skewed. Calculations were carried out using SAS version 6.12 (SAS Institute, Cary, North Carolina, United States) and Stata version 8.2SE (StataCorp, College Station, Texas, United States). Analyses of lipid parameters were stratified by sex, given that there are known differences between female and male lipid profiles and cardiovascular risks [49, 50]. Results are expressed as mean (SE).
In order to take into consideration the false positive associations resulting from multiple tests of the 66 SNP ( Table S1), a Bonferroni correction was applied to determine the proper level of statistical significance, p = 0.05/66 = 0.0007.
For a comparison of the difference in APOC3 C(−641)A genotype frequencies between the groups, the chi-square test was performed. Genotype frequencies of all SNP were found to be in Hardy-Weinberg equilibrium. A (corrected) p-value less than 0.05 was considered the threshold for statistical significance. Given that this is a relatively homogeneous population, stratification was not applied, except to control for gender effects as noted above. The haplotype association test between cases (probands) and controls was performed using Haploview 3.2 software ( http://www.broad.mit.edu/personal/jcbarret/haploview/index.php) .
The participants' survival distribution was estimated by the Kaplan-Meier method, and the significance of the difference in survival distribution among the groups was tested by means of a log rank test. Wilcoxon statistics were calculated to test homogeneity between the groups.
Table S1. Genes and Their Associated SNP Genotyped for This Study
The reported values are percent in Control/Proband and its significance of the change ( p-Value).
After Bonferroni correction only CETP-VV and APOC-3 CC remain significant ( p < 0.0066).
(135 KB DOC)
We thank Mr. William Greiner and Ms. Deborah Davidson for their contributions to this study. We are indebted to all participants and their families for their commitment and enthusiasm. We are also grateful to the following institutions that assisted in recruitment: The Hebrew Home for the Aged, Riverdale, New York; Kittay House, Bronx, New York; the Hebrew Home and Hospital, West Hartford, Connecticut; and the Jewish Home for the Aged, New Haven, Connecticut, all under the aegis of the Association of Jewish Aging Services of North America, Washington, D. C.
NB conceived and designed the experiments. GA, MR, and NB performed the experiments. GA, CBS, ARS, RBL, AB, and NB analyzed the data. GA, MR, CBS, ARS, RBL, AB, and NB contributed reagents/materials/analysis tools. GA, MR, CBS, ARS, RBL, AB, and NB wrote the paper.
- 1. Cournil A, Kirkwood TB (2001) If you would live long, choose your parents well. Trends in Genetics 17: 233–235.
- 2. Perls TT, Wilmoth J, Levenson R, Drinkwater M, Cohen M, et al. (2002) Life-long sustained mortality advantage of siblings of centenarians. Proc Natl Acad Sci U S A 99: 8442–8447.
- 3. Perls TT, Bubrick E, Wager CG, Vijg J, Kruglyak L (1998) Siblings of centenarians live longer. Lancet 351: 1560.
- 4. Barzilai N, Shuldiner AR (2001) Searching for human longevity genes: The future history of gerontology in the post-genomic era. J Gerontol A Biol Sci Med Sci 56: M83–M87.
- 5. Atzmon G, Schechter C, Greiner W, Davidson D, Rennert G, et al. (2004) Clinical phenotype of Families with longevity. J Am Geriatr Soc 52: 274–277.
- 6. Barzilai N, Atzmon G, Schechter C, Schaefer EJ, Cupples AL, et al. (2003) Unique lipoprotein phenotype and genotype associated with exceptional longevity. JAMA 290: 2030–2040.
- 7. Geesaman BJ, Benson E, Brewster SJ, Kunkel LM, Blanche H, et al. (2003) Haplotype-based identification of a microsomal transfer protein marker associated with the human lifespan. Proc Natl Acad Sci U S A 100: 14115–14120.
- 8. Groenendijk M, Cantor RM, de Bruin TW, Dallinga-Thie GM (2001) The apoAI-CIII-AIV gene cluster. Atherosclerosis 157: 1–11.
- 9. Reaven GM (1988) Banting lecture 1988. Role of insulin resistance in human disease. Diabetes 37: 1595–1607.
- 10. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, et al. (1985) Homeostasis model assessment: Insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28: 412–419.
- 11. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, et al. (2003) The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: The JNC 7 Report. JAMA 289: 2560–2572.
- 12. Wang CS, McConathy WJ, Kloer HU, Alaupovic P (1985) Modulation of lipoprotein lipase activity by apolipoproteins. Effect of apolipoprotein C-III. J Clin Invest 75: 384–390.
- 13. Chhabra S, Narang R, Lakshmy R, Vasisht S, Agarwal DP, et al. (2004) Apolipoprotein C3 SstI polymorphism in the risk assessment of CAD. Mol Cell Biochem 259: 59–66.
- 14. Minihane AM, Finnegan YE, Talmud P, Leigh-Firbank EC, Williams CM (2002) Influence of the APOC3 −2854T>G polymorphism on plasma lipid levels: Effect of age and gender. Biochim Biophys Acta 1583: 311–314.
- 15. Russo GT, Meigs JB, Cupples LA, Demissie S, Otvos JD, et al. (2001) Association of the Sst-I polymorphism at the APOC3 gene locus with variations in lipid levels, lipoprotein subclass profiles and coronary heart disease risk: The Framingham offspring study. Atherosclerosis 158: 173–181.
- 16. Corella D, Guillen M, Saiz C, Portoles O, Sabater A, et al. (2002) Associations of LPL and APOC3 gene polymorphisms on plasma lipids in a Mediterranean population: Interaction with tobacco smoking and the APOE locus. J Lipid Res 43: 416–427.
- 17. Liu HK, Li XF, Zhang SZ, Ren Y, Yong X, et al. (2005) Association of Sst I polymorphism in apolipoprotein C3 gene with hypertriglyceridaemia in coronary atherosclerotic heart disease and type II diabetes mellitus in Chinese population. Yi Chuan Xue Bao 32: 11–18.
- 18. Onat A, Hergenc G, Sansoy V, Fobker M, Ceyhan K, et al. (2003) Apolipoprotein C-III, a strong discriminant of coronary risk in men and a determinant of the metabolic syndrome in both genders. Atherosclerosis 168: 81–89.
- 19. Olivieri O, Bassi A, Stranieri C, Trabetti E, Martinelli N, et al. (2003) Apolipoprotein C-III, metabolic syndrome, and risk of coronary artery disease. J Lipid Res 44: 2374–2381.
- 20. Gervaise N, Garrigue MA, Lasfargues G, Lecomte P (2000) Triglycerides, apo C3 and Lp B:C3 and cardiovascular risk in type II diabetes. Diabetologia 43: 703–708.
- 21. Li GP, Wang JY, Yan SK, Chen BS, Xue H, et al. (2004) Genetic effect of two polymorphisms in the apolipoprotein A5 gene and apolipoprotein C3 gene on serum lipids and lipoproteins levels in a Chinese population. Clin Genet 65: 470–476.
- 22. Olivieri O, Martinelli N, Sandri M, Bassi A, Guarini P, et al. (2005) Apolipoprotein C-III, n-3 polyunsaturated fatty acids, and “insulin-resistant” T-455C APOC3 gene polymorphism in heart Disease Patients: Example of gene-diet interaction. Clin Chem 51: 360–367.
- 23. Ito Y, Azrolan N, O'Connell A, Walsh A, Breslow JL (1990) Hypertriglyceridemia as a result of human apo CIII gene expression in transgenic mice. Science 249: 790–793.
- 24. Maeda N, Li H, Lee D, Oliver P, Quarfordt SH, et al. (1994) Targeted disruption of the apolipoprotein C-III gene in mice results in hypotriglyceridemia and protection from postprandial hypertriglyceridemia. J Biol Chem 269: 23610–23616.
- 25. Takahashi T, Hirano T, Okada K, Adachi M (2003) Apolipoprotein CIII deficiency prevents the development of hypertriglyceridemia in streptozotocin-induced diabetic mice. Metabolism 52: 1354–1359.
- 26. Karathanasis SK (1985) Apolipoprotein multigene family: Tandem organization of human apolipoprotein AI, CIII, and AIV genes. Proc Natl Acad Sci U S A 82: 6374–6378.
- 27. Garasto S, Rose G, Derango F, Berardelli M, Corsonello A, et al. (2003) The study of APOA1, APOC3 and APOA4 variability in healthy ageing people reveals another paradox in the oldest old subjects. Ann Hum Genet 67: 54–62.
- 28. Panza F, D'Introno A, Colacicco AM, Capurso C, Capurso S, et al. (2004) Vascular genetic factors and human longevity. Mech Ageing Dev 125: 169–178.
- 29. Dallinga-Thie GM, Groenendijk M, Blom RN, De Bruin TW, De Kant E (2001) Genetic heterogeneity in the apolipoprotein C-III promoter and effects of insulin. J Lipid Res 42: 1450–1456.
- 30. Li WW, Dammerman MM, Smith JD, Metzger S, Breslow JL, et al. (1995) Common genetic variation in the promoter of the human apo CIII gene abolishes regulation by insulin and may contribute to hypertriglyceridemia. J Clin Invest 96: 2601–2605.
- 31. Arai Y, Hirose N, Yamamura K, Nakazawa S, Shimizu K, et al. (2003) Deficiency of choresteryl ester transfer protein and gene polymorphisms of lipoprotein lipase and hepatic lipase are not associated with longevity. J Mol Med 81: 102–109.
- 32. Lucchi T, Arosio B, Caloni M, Ceconi I, Calabresi C, et al. (2005) [I405V polymorphism of the cholesteryl ester transfer protein gene in young and very old individuals]. Ann Ital Med Int 20: 45–50.
- 33. Murphy CT, McCarroll SA, Bargmann CI, Fraser A, Kamath RS, et al. (2003) Genes that act downstream of DAF-16 to influence the lifespan of Caenorhabditis elegans. Nature 424: 277–283.
- 34. Holzenberger M, Dupont J, Ducos B, Leneuve P, Geloen A, et al. (2003) IGF-1 receptor regulates lifespan and resistance to oxidative stress in mice. Nature 421: 182–187.
- 35. Kenyon C (2001) A conserved regulatory system for aging. Cell 105: 165–168.
- 36. Amdam GV, Simoes ZLP, Hagen A, Norberg K, Schroder K, et al. (2004) Hormonal control of the yolk precursor vitellogenin regulates immune function and longevity in honeybees. Exp Gerontol 39: 767–773.
- 37. Rincon M, Muzumdar R, Atzmon G, Barzilai N (2004) The paradox of the insulin/IGF-1 signaling pathway in longevity. Mech Ageing Dev 125: 397–403.
- 38. Altomonte J, Cong L, Harbaran S, Richter A, Xu J, et al. (2004) Foxo1 mediates insulin action on apoC-III and triglyceride metabolism. J Clin Invest 114: 1493–1503.
- 39. Ostrer H (2001) A Genetic Profile of Contemporary Jewish Populations. Nat Rev Genet 2: 891–898.
- 40. Struewing JP, Hartge P, Wacholder S, Baker SM, Berlin M, et al. (1997) The Risk of Cancer Associated with Specific Mutations of BRCA1 and BRCA2 among Ashkenazi Jews. N Engl J Med 336: 1401–1408.
- 41. Foulkes WD, Chappuis PO, Wong N, Brunet JS, Vesprini D, et al. (2000) Primary node negative breast cancer in BRCA1 mutation carriers has a poor outcome. Ann Oncol 11: 307–313.
- 42. Friedrichsen DM, Stanford JL, Isaacs SD, Janer M, Chang BL, et al. (2004) Identification of a prostate cancer susceptibility locus on chromosome 7q11–21 in Jewish families. PNAS 101: 1939–1944.
- 43. Kadouri L, Kote-Jarai Z, Hubert A, Durocher F, Abeliovich D, et al. (2004) A single-nucleotide polymorphism in the RAD51 gene modifies breast cancer risk in BRCA2 carriers, but not in BRCA1 carriers or noncarriers. Br J Cancer 90: 2002–2005.
- 44. Miki Y, Swensen J, Shattuck-Eidens D, Futreal PA, Harshman K, et al. (1994) A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1. Science 266: 66–71.
- 45. Abeliovich D, Kaduri L, Lerer I, Weinberg N, Amir G, et al. (1997) The founder mutations 185delAG and 5382insC in BRCA1 and 6174delT in BRCA2 appear in 60% of ovarian cancer and 30% of early-onset breast cancer patients among Ashkenazi women. Am J Hum Genet 60: 505–514.
- 46. Meiner V, Landsberger D, Berkman N, Reshef A, Segal P, et al. (1991) A common Lithuanian mutation causing familial hypercholesterolemia in Ashkenazi Jews. Am J Hum Genet 49: 443–449.
- 47. Verghese J, Lipton RB, Katz MJ, Hall CB, Derby CA, et al. (2003) Leisure activities and the risk of dementia in the elderly. N Engl J Med 348: 2508–2516.
- 48. Cheng S, Grow MA, Pallaud C, Klitz W, Erlich HA, et al. (1999) A multilocus genotyping assay for candidate markers of cardiovascular disease risk. Genome Res 9: 936–949.
- 49. Pascot A, Lemieux I, Bergeron J, Tremblay A, Nadeau A, et al. (2002) HDL particle size: A marker of the gender difference in the metabolic risk profile. Atherosclerosis 160: 399–406.
- 50. Price JF, Fowkes FG (1997) Risk factors and the sex differential in coronary artery disease. Epidemiology 8: 584–591.
- 51. Barrett JC, Fry B, Maller J, Daly MJ (2005) Haploview: Analysis and visualization of LD and haplotype maps. Bioinformatics 21: 263–265.