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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Atherosclerosis. Author manuscript; available in PMC Apr 1, 2010.
Published in final edited form as:
PMCID: PMC2699582
NIHMSID: NIHMS109579

Association of Polymorphisms in Cyclooxygenase (COX)-2 with Coronary and Carotid Calcium in the Diabetes Heart Study

Abstract

BACKGROUND

Cardiovascular Disease is the leading cause of death among Americans. Inflammation is a hallmark of the development of atherosclerosis and is mediated by prostaglandins, catalyzed by cyclooxygenase (COX)-2. We sought to determine if variants in the COX-2 gene were associated with subclinical measures of cardiovascular disease in a primarily type 2 diabetic population.

METHODS

Eight polymorphisms in COX-2 were genotyped and vascular calcified plaque measured in the coronary, carotid, and aortic arterial beds in 977 Caucasian siblings (83% with T2DM) from 369 Diabetes Heart Study families. Tests for single SNP and haplotypic association were performed using SOLAR and QPDT, respectively (results adjusted for age, gender, diabetes affection status, smoking, and use of lipid altering medications).

RESULTS

All eight SNPs genotyped were found to be in strong pair-wise linkage disequilibrium (D′=1.0). Three SNPs (rs689466, rs2066826 and rs20417) are associated with either coronary or carotid calcified plaque. Subjects carrying the G allele of rs689466 (n=31) or the A allele of rs2066826 (n=16) had significantly lower coronary calcified plaque (p=0.02 and 0.04, respectively). Subjects homozygous for the C allele of rs20417 (n=22) or the A allele of rs2066826 (n=16) had increased carotid calcified plaque (p=0.011, p=0.014). In addition, multiple 2-SNP and 3-SNP haplotypes were associated with CorCP with p-values ranging from P = 0.002 to P = 0.035.

CONCLUSIONS

Polymorphisms in COX2 were associated with significant changes in coronary and carotid calcified plaque. Diabetic individuals with these variants may be at higher risk for developing cardiovascular disease.

Keywords: Type 2 Diabetes Mellitus, Cardiovascular Disease, Polymorphisms, Inflammation, Vascular Calcification, Cyclooxygenase

Introduction

More than 70 million Americans currently live with cardiovascular disease (CVD) and almost 1 million people die from related events each year. It is estimated that 1 in 3 adult Americans have some form of cardiovascular disease, including high blood pressure, coronary heart disease (myocardial infarction and/or angina pectoris), heart failure, or stroke1. Inflammation is a hallmark in the development and progression of cardiovascular disease and is mediated by prostaglandins, produced by the enzyme prostaglandin endoperoxide H synthase (more commonly known as cyclooxygenase)2. Alterations in prostaglandin expression and/or activity can significantly modify cardiovascular disease risk 35.

There are at least two COX genes encoding two enzymes: COX-1 and COX-2. COX-1 is expressed constitutively and is involved in production of prostaglandins for cellular housekeeping functions. COX-2 is an inducible form and is associated with injury, inflammation and proliferation6,7. COX-2 derived PGE has been shown to increase in subclinical atherosclerosis and promotes release of matrix metalloproteinases, MMPs, contributing to plaque rupture and CVD events8. It has also been shown that COX2 levels are increased in symptomatic vs asymptomatic plaques9.

Cipollone et al. found the COX2-765G>C (rs20417) promoter polymorphism to be an inherited protective factor against MI and stroke in 1728 Italian unrelateds10. However, the same polymorphism was identified in the Atherosclerosis Risk in Communities Study to increase the risk of incident stroke in African Americans11,12. Additionally, COX2 rs20417 has been reported to be associated with reduced COX-2 expression, decreased atherosclerosis and systemic inflammation 13, as well as T2DM14. Konheim et al. found intron 6 SNP rs2066826 to be associated with T2DM as well14.

There is a well known connection between CVD and T2DM, however the mechanism is poorly understood. Type 2 diabetes is a major risk factor in developing cardiovascular disease. With 7–10% of the American population being affected with T2DM and 30% or more affected by CVD, there is a strong need to study this interaction further. The focus of the Diabetes Heart Study is to identify genes that contribute to the development of cardiovascular disease in a diabetes enriched population in order to gain a better understanding of the interaction between these two diseases. COX-2 is a gene that may link these two diseases through the underlying inflammatory pathway involved in their development. While there is little or no literature to suggest a direct role for COX2 in calcification, calcification is widely regarded as evidence of systemic vascular disease20, a primary mediator of which is inflammation, thus in the pathway of COX2 action. The goal of this study is to help further delineate the relationship between polymorphisms in COX-2 and markers of cardiovascular disease.

Subjects and Methods

Study subjects

The study sample consisted of 977 European-American siblings (83% with T2DM) from 369 families in the Diabetes Heart Study. Ascertainment and recruitment have been described previously 15,16. Briefly, siblings concordant for T2DM without renal insufficiency were recruited. T2DM was clinically defined as diabetes developing after the age of 35 yr and treated with insulin and/or oral agents, in the absence of historic evidence of ketoacidosis. The general absence of nephropathy was defined as a serum creatinine concentration less than or equal to 1.3 mg/dl (women) or less than or equal to 1.5 mg/dl (men) after a minimum diabetes duration of 5 yr. Metabolic Syndrome was defined using criteria established in the Third Report of the National Cholesterol Education Program Expert Panel Detection, Evaluation and Treatment in Adults (ATP III) as the presence of three or more of the following risk factors: waist circumference > 88 (102) cm in women (men); triglycerides ≥ 150 mg/dL; HDL < 50 (40) mg/dL in women (men); blood pressure ≥ 130/85 mmHg; and fasting glucose ≥ 110 mg/dL or a diagnosis of diabetes17.

All protocols were approved by the Institutional Review Board of Wake Forest University School of Medicine, and all participants gave informed consent. Participant examinations were conducted in the General Clinical Research Center of the Wake Forest University Baptist Medical Center and included interviews for medical history and health behaviors, anthropometric measures, resting blood pressure, fasting blood sample, and spot urine collection. Laboratory assays included urine albumin and creatinine, total cholesterol, low-density lipoprotein-cholesterol (calculated), high-density lipoprotein-cholesterol, triglycerides, hemoglobinA1c, fasting glucose, calcium, and inorganic phosphate.

Coronary and carotid calcified plaque, CorCP and CarCP respectively, were measured under a standardized protocol 18 as described by Wagenknecht et al.19. Over the course of this study, three versions of the General Electric computed tomography system (CTi, LightSpeed QXi, and Pro16; General Electric Medical Systems, Waukesha, Wisconsin) capable of 520-, 520-, and 244-millisecond temporal resolutions, respectively, when operating in the cardiac mode have been used. The robustness of the plaque score using various computed tomography systems with different temporal resolutions in this range has been established in standardized protocols used at this and other institutions18,20. In brief, calcified plaque was measured in each of the epicardial coronary arteries (right, left main, left anterior descending and posterior descending) and summed to create the total CorCP burden. Two cardiac scans were performed sequentially, and the average of the two measurements was used. For the carotid examination, an unenhanced computed tomography scan was performed through the right and left carotid bifurcations, and CarCP was measured in four vascular segments: common, bulb, internal, and external. Specifically, the carotid bifurcation level was identified, and the 15 mm of internal and external carotid above the bifurcation and 30 mm of carotid bulb and common carotid artery below the bifurcation were measured. Computed tomographic examinations were analyzed by experienced analysts producing an Agatston score corrected for slice thickness on a GE Advantage Windows Workstation using the Smart-Scores software package (General Electric Medical Systems). The slice thickness was 2.5–3.0 mm for all scans, and the number of adjacent pixels used to define a calcified plaque was one, resulting in a minimum lesion size of 1 mm2. The reproducibility of calcified plaque scores in the coronary and carotid arteries was assessed by obtaining duplicate scans. These methods in our hands have a high reproducibility of the calcium score with r = 0.98 (Spearman correlation coefficient)15 and measured inter-reader and intra-reader coefficients are 0.96 or greater.

Genetic analysis

Total genomic DNA was purified from whole-blood samples obtained from subjects using the PUREGENE DNA isolation kit (Gentra, Inc., Minneapolis, MN). DNA was quantitated using standardized fluorometric readings on a Hoefer DyNA Quant 200 fluorometer (Hoefer Pharmacia Biotech, Inc., San Francisco, CA). Each sample was diluted to a final concentration of 5 ng/μl.

Single nucleotide polymorphisms (SNPs) in the COX-2 gene were chosen from public databases to comprehensively cover the 18.56-kb genomic region containing COX-2. Polymorphisms affecting the protein coding sequence were preferentially selected for evaluation. Of the 8 SNPs evaluated, seven were selected from the HapMap database. All of the HapMap SNPs evaluated in this study had a minor allele frequency (MAF) more than or equal to 0.12 in the Centre d’Etude du Polymorphisme Humain Utah residents with ancestry from northern and western Europe (CEU population). The remaining SNP (rs20432) was selected in an effort to maintain consistent SNP spacing across the gene region.

Genotypes were determined using a MassARRAY SNP Genotyping System (Sequenom, Inc., San Diego, CA) as previously described 21. This genotyping system uses single-base extension reactions to create allele-specific products that are separated automatically and scored in a matrix-assisted laser desorption ionization/time of flight mass spectrometer. Primers for PCR amplification and extension reactions were designed using the MassARRAY Assay Design Software (Sequenom, Inc.).

Statistical analysis

Allele and genotype frequencies for each SNP were calculated from unrelated probands and tested for departure from Hardy-Weinberg equilibrium using a chi square test. Estimates of linkage disequilibrium (LD) between SNPs were determined by calculating pair-wise D′ and r2 statistics in unrelated individuals. To test for an association among the polymorphisms of each individual SNP and each trait, a series of variance component measured genotype (VCMG) models as implemented in SOLAR 22 were computed. Likelihood ratio tests based on the correlation structure suggested by the familial relationships was used 22. For each SNP, the 2 degree of freedom (df) test of genotypic association with each phenotype was performed. If there was evidence of a significant association (P < 0.05), three individual contrasts defined by the a priori genetic models (dominant, additive, and recessive) were computed. This is consistent with the Fisher’s protected least significant difference multiple comparison procedure. All effects were estimated while adjusting for age, gender, diabetes affection status (yes/no), smoking status (current/past/never), and use of lipid-lowering medications (yes/no). Phenotypes included in these analyses were transformed to approximate conditional normality and to reduce heterogeneity of residual phenotypic variance across SNP genotypes. The quantitative pedigree disequilibrium test (QPDT) 23 using one-, two-, and three-marker moving windows was performed to assess for association between alleles (or haplotypes) and CorCP or CarCP. Haplotype frequencies were estimated using the expectation-maximization algorithm to account for phase uncertainty and the corresponding likelihood ratio test was computed. The QPDT and VCMG models included the clinical covariates age, gender, smoking status, and use of lipid-lowering medications. Unlike the population-based VCMG approach, the family-based QPDT analysis is modestly conservative in the presence of population stratification and is generally valid even under population admixture. These exhaustive haplotype analyses were not corrected for multiple comparisons.

Results

The clinical characteristics of the 977 European-American subjects are presented in Table 1. The average age of the diabetes-affected participants was 62 yr and 51% were female. The non-diabetic subjects had an average age of 59.6 with 62.3% females. Metabolic syndrome 17 affects 89.6% of the diabetes-affected subjects and 49.1% of the non-diabetic subjects, thus showing significant risk factors even in non-diabetic relatives of the T2DM subjects. Of the diabetes-affected subjects, 94.8% have CorCP greater than 0 and 78.2% have CarCP greater than 0. CorCP and CarCP are less frequent in the non-diabetic subjects, with 84.4% and 58.7% respectively having scores greater than 0. The general phenotypic correlation (r=0.562), as well as the corresponding genetic correlation (rg=0.52 ± 0.11) and environmental correlation (re=0.37 ± 0.07), between CorCP and CarCP are all statistically significant (P <0.05).

Table 1
Demographic characteristics of DHS European-American participants.

Power calculations assuming 700 individuals with complete genotypic and phenotypic data suggest that a SNP with MAF of 0.20 provides approximately 80% power at α = 0.05 to observe a 0.22 change of a standard deviation under a dominant genetic model in unrelated individuals. This analysis suggests that the DHS has the power to detect clinically meaningful differences in quantitative measures of vascular function.

DNA from the DHS participants was genotyped for eight SNPs that were chosen across the 18.65kb genomic region containing COX-2 (Figure 1). Of the eight SNPs, seven were selected from the HapMap database (http://www.hapmap.org)24 and have a MAF ≥ 0.12 in the HapMap CEU population. The ability of these SNPs to capture genotypic and haplotypic variation was assessed using the greedy pairwise tagging algorithm implemented in the Tagger program 25 of Haploview 26. The seven HapMap SNPs capture 0.67 of the genetic variation within this region as defined by r2.

Figure 1
Genomic map of the COX-2 gene with locations of the 8 genotyped SNPs. The full-length shaded regions are exons, numbered 1–10. The half-length shaded regions represent the 5′- and 3′-untranslated regions. The ruler along the bottom ...

The mean genotyping success rate for the 8 SNPs evaluated was 98.4%, with rs20417 having the lowest success rate (97.3%) and rs2066826 having the highest success rate (99.2%). The genotyping consensus rate for duplicate DNA samples within and across DNA plates was 100% for all SNPs. Allele and genotype frequencies were consistent with those expected under Hardy-Weinberg equilibrium. All eight of the SNPs genotypes were contained in a single block of LD (Figure 2) as defined by the D′ statistic using confidence interval27, 4-gamete rule28 and solid spine algorithms implemented in Haploview26.

Figure 2
LD (D′) between the 8 SNPs in COX-2 from Haploview.

Initially genotype data were analyzed for association with measures of subclinical cardiovascular disease, including both CorCP and CarCP, using the 2df test for overall genotypic association (Table 2a). These data show evidence of association between CorCP and rs689466 (P=0.046) and rs2066828 (P=0.057), and among CarCP and rs20417 (P=0.039) and rs2066826 (P=0.049). None of these results remain statistically significant after adjusting for a sequential Bonferroni multiple comparison adjustment.

Table 2
a)Association analysis: P values for overall genotypic associations of COX-2 SNPs with Coronary and Carotid calcified plaque in European-American DHS participants. b) Association analysis: untransformed, unadjusted summary statistics of COX-2 SNPs with ...

The three significant, and one near-significant, associations by the 2df test were further evaluated using the dominant, additive and recessive genetic models in both SOLAR (Table 2b) and GEE1 (data not shown). The promoter SNP (rs689466) was associated with CorCP under the dominant (P = 0.017) and additive (P=0.013) genetic models, while the intron 6 SNP (rs2066828) was most strongly associated under the dominant model only (P = 0.037). The mean CorCP scores support the dominant model for rs2066826 because only the minor allele homozygotes (AA) have significantly increased mean CorCP scores (2086), while the other two genotypes (GG/GA) have similar means (1235 and 952 for rs2066826). The strongest evidence for association of the promoter SNP rs20417 was obtained under the recessive model with respect to the minor allele (C; P = 0.014). Likewise the intron 6 SNP rs2066826 was most strongly associated with CarCP under the recessive model with respect to the minor allele (A; P = 0.014). In both cases, the presence of the minor allele homozygote corresponded to a significant increase in mean carotid calcified plaque score. We note that although the number of homozygotes of the minor allele in these two tests provides an appropriate test, some caution is merited.

To test whether a haplotype would provide increased evidence of association over the individual SNP associations with CorCP and CarCP, QPDT was used to evaluate one-, two-, and three-marker moving windows across the 8 SNPs in COX-2. Three single SNPs and three 2-SNP haplotypes were associated with CorCP with p-values ranging from P = 0.002 to P = 0.032 (Table 3.). CorCP was also associated with one 3-SNP haplotype and trending towards association with another. The rs5275+rs2745557 2-SNP haplotype was associated with CorCP (P = 0.005). The GA haplotype for these SNPs was associated with an increase in CorCP (Z-score = 2.419; P = 0.016), while the GG haplotype was associated with decreased CORCP (Z-score = −2.929; P = 0.003). A similar association was seen with the rs20417+rs689466 haplotype (P = 0.002). Here the GA haplotype was associated with an increase in CorCP (Z-score = 3.126; P = 0.002) and the GG haplotype associated with decreased CorCP (Z-score = −2.896; P = 0.004). Similar results were seen with three SNP haplotypes including rs5277+rs2745557+rs20417 or rs2745557+rs20417+rs689466. For the haplotype rs5277+rs2745557+rs20417, individuals with a GGG genotype had decreased CorCP (Z-score = −2.109; P = 0.035) and individuals with the genotype GAG had a significant increase in CorCP (Z-score = 2.436; P = 0.015). Interestingly, this suggests that the haplotypic association of these three SNPs is being driven by the rs2745557, which was not individually associated with CorCP. Furthermore, the strong haplotypic associations remain significant after adjusting for multiple tests using the sequential Bonferroni. QPDT was also used to evaluate SNP association with CarCP, however there were no significant associations (data not shown).

Table 3
QPDT haplotype analysis of COX-2 SNPs with CorCP.

Discussion

Genetic evaluation of 8 SNPs in the COX2 gene in the Diabetes Heart Study European-American families enriched for T2DM reveals association between SNPs in COX2 and CorCP, independent of the clinical covariates age, gender, smoking status, and use of lipid lowering medications (Table 1). The SNP tagging algorithm implemented in this study suggests that the 8 SNPs evaluated capture a fairly high proportion of the HapMap variation within this region (mean r2 = 0.666). The 8 SNPs that were evaluated in COX2 are in high LD (Fig 2.). One SNP was marginally associated with CorCP (P = 0.046) and another was trending toward significance (P=0.057) and two SNPs were modestly associated with CarCP (P = 0.039, P = 0.049). No single multiple comparison approach is generally accepted for a priori candidate genes with multiple correlated SNPs and correlated traits. Since this study was based on an a priori hypothesis of COX2 association with measures of subclinical CVD, we report the unadjusted results. The single tagging SNP results provide evidence of association that would not survive a multiple comparison adjustment, but the haplotypic associations provide strong evidence that would survive multiple comparison adjustment. This is not surprising since the tagging SNPs were selected to capture the haplotypic information within the gene and not due to a priori functional relevance. Again, we note that the results from the association analysis with carotid calcified plaque analyses which suggest a recessive mode of inheritance for these two SNPs are based upon a relatively small number of minor allele homozygotes (22 for rs20417 and 16 for rs2066826) and should be viewed with caution.

Genetic association of COX2 has been reported with diabetes14, measures of atherosclerosis and cardiovascular disease13, myocardial infarction10, stroke10,11, and asthma29,30, as well as several types of cancer3133. Papafili et al. genotyped the COX2 rs20417 (-765G>C) polymorphism in patients that were subjected to coronary artery bypass graft surgery and healthy UK controls and found that the level of C-reactive protein was strongly genotype dependent. Compared with the GG homozygotes, patients carrying the C allele had significantly lower plasma CRP levels (P<0.05)34. The evaluation of CRP levels in the DHS population was unable to replicate this finding. Orbe et al., examined the rs20417 (G-765C) polymorphism in asymptomatic subjects free from CVD in relation to atherosclerosis and inflammatory markers13. Subjects that were hypercholesterolemic and carriers of the rs20417 C allele had lower COX2 expression (p<0.05), reduced carotid IMT (p<0.01), and diminished levels of inflammatory markers (CRP, vWF and IL-6; p<0.05) compared with GG homozygotes. The rs20417 polymorphism was also examined in African Americans of the ARIC study11. Here carriers of the C allele had a hazard rate ratio of 1.34 for developing stroke, when compared to the GG homozygotes (P=0.03). Furthermore, the association of COX2 rs20417 with MI and stroke was investigated in a matched case-control study of patients with first MI or atherothrombotic ischemic stroke10. The C allele was more prevalent among controls than cases, with prevalence ratios for MI or stroke equal to 0.48 for GC genotypes and 0.33 for CC genotypes. Here the C allele of rs20417 was associated with decreased risk of MI and stroke. However, Hegener et al. was unable to replicate any association of rs20417 with MI or stroke in a group of 600 males with incident myocardial infarction (MI) or ischemic stroke and 600 age/smoking matched male controls from the Physicians’ Health study35. Current results regarding the COX2 polymorphism rs20417 are inconsistent across studies. We were unable to detect an association between COX2 SNP rs20417 and coronary or carotid calcified plaque in the Diabetes Heart Study population (although modest association is seen within a haplotype and with CarCP). There is little reported regarding association of other variants in this gene, warranting further investigation of COX2 variants.

To date, no studies have examined the association of COX2 variants with measures of vascular calcification. Of the three polymorphisms associated with coronary and/or carotid calcium in our study, only two were associated with other phenotypes in other studies. The COX2 promoter polymorphism rs20417 (also reported as G-765C and G926C) was significantly associated with CRP levels in coronary bypass graft patients from the UK34; T2DM in Pima Indians14; carotid IMT, CRP, and IL-6 in hypercholesterolemic patients from Spain13; as well as stroke and MI in African Americans11 and Italians10. To our knowledge this study is the first examination of the COX2 using a tagging SNP approach. While the design, sample size, and measures examined in this study are largely different from previous studies, we observe evidence for association of measures of subclinical CVD with COX2 SNPs consistent with prior observations that genetic variability in this gene contributes to variation in bio-medically important traits.

Haplotype analysis as implemented in QPDT provides us with evidence of association due to inheritance within families. Two SNPs, rs5277 and rs274557, were marginally associated with CorCP in QPDT (P = 0.034 and P = 0.024, respectively), but not using the variance components models implemented in SOLAR. Furthermore, the SNP rs2066826 was associated with CorCP in SOLAR, but not in QPDT. This is likely due to methodological differences between these two analytical tests. It is also necessary to note that the genotypic means for the minor allele homozygotes of rs689466 (GG) and rs2066826 (AA), as seen in the CorCP association results (Table 2b) are inconsistent with the results from analysis using both QPDT and VCMG in SOLAR. We have reported that the G allele of rs689466 and the A allele of rs 2066826 are associated with a decrease in coronary calcified plaque under the dominant genetic model. Evidence for the direction of the association is consistent between the z-scores produced with QPDT, the beta values in SOLAR, as well as the genetic models. The inconsistency of the means is likely due to the small number of individuals contributing to the mean. However, it is encouraging that the median CorCP scores are significantly decreased (AA = 247 vs. GG = 151 for rs689466), and are consistent with the direction of the association.

The two SNPs rs2066826 and rs20417 were associated with an increase in CarCP, as seen in the recessive model. This is inconsistent with current literature and opposite of the direction of the association with CorCP. Due to the low number of minor allele homozygotes for these two SNPs and the recessive mode of inheritance, this data must be viewed with extreme caution. The genotypic means are consistent with a recessive genetic model; however the standard deviations are quite large. Therefore we choose to place more emphasis on the CorCP results, as they provide stronger evidence of association with COX-2.

Overall, the association results as seen from analysis in SOLAR are broadly consistent with QPDT. Evidence of association with COX2 SNPs with measures of subclinical cardiovascular disease is broadly consistent with the extensive literature in this area of investigation. The direction of association may be inconsistent with previous studies for several reasons. Many of the previous investigations of COX2 association with cardiovascular measures were in significantly smaller populations and may be under-powered. Furthermore, most of the prior studies examined a very limited number of SNPs and did not use tagging SNPs to capture a significant portion of the genotypic and haplotypic variation in this gene.

As with any study of this type, there are limitations in addition to those summarized above. Although the body of literature showing that vascular calcified plaque is an independent predictor of CVD events (e.g. Detrano et al. 2008) continues to increase, we have not assessed prevalent disease in this study. It should be emphasized that this study is focused on subclinical measures of vascular disease rather than prevalent clinical disease. While there advantages of this study design, such as power, these are surrogate measures of CVD.

In summary, the association of COX2 single nucleotide polymorphisms with measures of subclinical cardiovascular disease has been investigated in the Diabetes Heart Study population. Several SNPs have proven to be associated with both coronary and carotid calcified plaque. The direction of the association appears to be inconsistent with current literature. We were unable to replicate previous association of rs20417 with measures of cardiovascular disease. However, our findings are consistent across two distinct tests of association, the population-based VCMG approach implemented in SOLAR and the family-based QPDT analysis. Furthermore, the strong haplotypic association from QPDT analysis is robust to sequential Bonferroni correction for multiple comparisons. It is known that the actions of COX2 are varied. Here we have shown that variants of COX2 are associated with measures of subclinical cardiovascular disease, specifically coronary and carotid calcified plaque, in a type 2 diabetes population. The complex involvement of COX2 in inflammation and CVD truly warrants further investigation.

Footnotes

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