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No Association of nineteen COX-2 gene variants to preclinical markers of atherosclerosis The Cardiovascular Risk in Young Finns Study
BMC Medical Genetics volume 13, Article number: 32 (2012)
The role of cyclooxygenase-2 (COX-2) single nucleotide polymorphisms has mostly been studied in relation to advanced atherosclerosis, but little is known how they contribute to preclinical disease. In the present study we analyzed whether COX-2 gene variants associate independently with the early subclinical markers of atherosclerosis, carotid intima-media thickness and carotid artery distensibility in a population of young healthy Caucasian adults.
SNPs for association analysis were collected from the COX-2 gene and 5 kb up- and downstream of it. There were 19 SNPs available for analysis, four genotyped and fifteen imputed. Genotype data was available for 2442 individuals participating in the Cardiovascular Risk in Young Finns Study. Genotype imputation was performed using MACH 1.0 and HapMap II CEU (release 22) samples as reference. Association analysis was performed using linear regression with an additive model. PLINK was used for true genotyped SNPs and ProbABEL for imputed genotype dosages. False discovery rate was used to take into account multiple testing bias.
Two of the COX-2 variants (rs689470, rs689462) associated with distensibility (p = 0.005) under the linear regression additive model. After adjustment with gender, age, body mass index and smoking status, association between these SNPs and distensibility remained significant (p = 0.031). Subjects carrying the minor alleles had higher value of carotid artery distensibility compared to the major allele homozygotes. However, after correcting p-values for multiple testing bias using false discovery rate, association was lost. Another COX-2 variant rs4648261 associated with mean carotid intima-media thickness (p = 0.046) and maximal carotid intima-media thickness (p = 0.048) in the linear regression model. Subjects carrying the minor allele of rs4648261 had lower values of mean and maximal carotid intima-media thickness compared to subjects homozygote for major allele. After adjustments the associations were lost with both mean and maximal carotid intima-media thickness. Thus, no statistically significant associations of the studied COX-2 variants with carotid artery distensibility or carotid intima-media thickness were found.
Our results suggest that in a Finnish population, there are no significant associations between COX-2 variants and early atherosclerotic changes in young adulthood.
Atherosclerosis is the main pathologic process underlying cardiovascular disease. The chronic inflammatory reaction in vessel wall has an important role in disease initiation and progression .
Inflammation is partly regulated by prostaglandins which are produced through the enzyme cyclooxygenase (COX). Cyclooxygenase catalyzes the rate-limiting steps in prostaglandin production from arachidonic acid. COX-1 is constitutively expressed in most human tissues under basal conditions. COX-2 expression is primarily induced in response to inflammatory stimuli by growth factors, mitogens, and cytokines .
The important role of COX-1 expression in platelets leading to atherothrombosis has been clarified through its inhibition with acetosalicylic acid. However, the role of COX-2 activity in these events is still unclear . COX-2 expression has been detected in endothelial cells, smooth muscle cells, monocytes, and macrophages within human atherosclerotic lesions [4, 5]. Prostaglandins produced by the COX-2 route may have impact on the development of atherosclerosis by influencing inflammatory reaction, platelet function, leukocyte-endothelial cell adhesion and smooth muscle cell proliferation and migration .
The role of COX-2 has previously been studied in relation to advanced atherosclerosis with clinical complications, such as coronary artery disease [7, 8] myocardial infarction and ischemic stroke . However, atherosclerosis begins in childhood and progresses for decades until clinical complications such as myocardial infarction appear .
Contributions of genetic alterations would be expected to manifest themselves in younger rather than in older subjects. In fact, it has been suggested that low COX-2 level may enhance foam cell production and consequently, increase the risk of atherosclerosis and cardiovascular disease . Functional studies have been made for only two of the tested SNPs (rs 20417, rs 5275), but this does not necessarily mean that the others are not functional ‐. There are 302 known SNPs in the COX-2 gene available from the NCBI dbSNP human database. In the present study we analyzed all the 19 COX-2 SNPs available from the HapMap II CEU (release 22) and their association with subclinical markers of carotid atherosclerosis, such as carotid intima-media thickness (CIMT) and carotid artery distensibility (Cdist).
The Cardiovascular Risk in Young Finns Study is a five-center longitudinal cohort study of atherosclerosis risk factors from childhood to adulthood , which has been described in detail previously [16, 17]. The first cross-sectional survey involving 3596 subjects between the ages of 3 and 18 years was conducted in 1980. The latest follow-up was done in 2007. Genotype data for the present analysis was available for 2442 individuals. All subjects gave their written informed consents in 2001 and the local ethics committees in all five centers (Helsinki, Kuopio, Oulu, Tampere and Turku) approved the study.
Clinical characteristics and risk factors
Height and weight were measured, smoking habits and history of diabetes were assessed with a questionnaire. A random zero sphygmomanometer (Hawksley &Sons Ltd, Lancing, UK) was used for blood pressure measurements. The mean of three measurements was used in the analysis. For the determination of serum lipids and apolipoprotein B and A1 levels, venous blood samples were drawn after an overnight fast. Lipid concentrations and glucose were measured using standard methods . LDL cholesterol concentration was calculated according to Friedewald formula. Fasting plasma highly sensitive C-reactive protein (hs-CRP) concentrations were analyzed by latex turbidometric immunoassay (Wako Chemicals GmbH, Neuss, Germany).
Ultrasound examinations for baseline measure were performed using Sequoia 512 ultrasound mainframes between September 2001 and January 2002 (Acuson, Mountain View, CA) with a 13.0 MHz linear array transducer, as previously described . The left carotid artery was scanned according to a standardized protocol. The image in the carotid intima-media thickness measurements was focused on the posterior wall of the left carotid artery. A magnified image was recorded from the angle showing the greatest distance between the lumen-intima interface and the media-adventitia interface. A minimum of four measurements of the common carotid far wall were taken 10 mm proximal to the bifurcation in order to derive mean CIMT. The between-visit (two visits 3 months apart) coefficient of variation for CIMT measurements was 6.4 %.
Several moving-image clips of the beginning of the carotid bifurcation and the common carotid artery with duration of 5 seconds were acquired and stored in digital format for subsequent offline analysis. To assess carotid artery distensibility indices, the best-quality cardiac cycle was selected from the 5-second image clips. The common carotid diameter 10 mm from carotid bifurcation was measured from the B-mode images with ultrasonic calipers at least twice in end diastole and end systole, respectively. The means of the measurements were used as the end-diastolic and end-systolic diameters. Ultrasound and concomitant brachial blood pressure measurements were used to calculate carotid distensibility (Cdist = [(Ds - Dd)/Dd]/(Ps - Pd), where Ds is systolic diameter, Dd is diastolic diameter, Ps is systolic blood pressure, and Pd is diastolic blood pressure). Cdist measures the ability of arteries to expand as a response to pulse pressure caused by cardiac contraction and relaxation. To assess reproducibility of ultrasound measurements, 57 subjects were reexamined 3 months after the initial visit (2.5 % random sample). The between-visit coefficient of variation was 2.7 % for carotid artery diastolic diameter and 16.3 % for Cdist .
Genotyping and imputation
Genomic DNA was extracted from peripheral blood leukocytes using a commercially available kit and Qiagen BioRobot M48 Workstation according to the manufacturer’s instructions (Qiagen, Hilden, Germany). Genotyping was done for 2556 samples using custom build Illumina Human 670 k BeadChip atWelcome Trust Sanger Institute. Genotypes were called using Illuminus clustering algorithm. 56 samples failed Sanger genotyping pipeline QC criteria (i.e., duplicated samples, heterozygosity, low call rate, or Sequenom fingerprint discrepancy). From the remaining 2500 samples one sample failed gender check, three were removed due to low genotyping call rate (< 0.95) and 54 samples for possible relatedness (pi-hat > 0.2). 11766 SNPs were excluded based on Hardy-Weinberg equilibrium test (p ≤ 1e-06), 7746 SNPs failed missingness test (call rate < 0.95) and 34596 SNPs failed frequency test (minor allele frequency < 0.01). After quality control there were 2442 samples and 546677 genotyped SNPs available for further analysis .
Genotype imputation was performed using MACH 1.0  and HapMap II CEU (release 22) samples as reference. After imputation there were 2543887 imputed SNPs available. SNPs with squared correlation between imputed and true genotypes ≥ 0.30 were considered well imputed.
Phenotypes mean CIMT, maximal CIMT and Cdist were transformed to normality using Box-Cox transformation. Standard residuals were extracted from the model and outliers ≥ 4 SD were removed. SNPs for association analysis were collected from the COX-2 gene and 5 kb up- and downstream of it (chromosome 1, pos 186,635,945-186,654,559). There were 19 SNPs available for analysis, four genotyped and fifteen imputed. Association analysis was performed using linear regression with additive and recessive models. PLINK  was used for true genotyped SNPs and ProbABEL  for imputed genotype dosages. To take into account multiple testing bias introduced by testing 19 SNPs simultaneously, we used false discovery rate (FDR)  to correct the p-values. Q values (= corrected p-values) less than 0.05 were considered significant. FDR calculations were done using R language package ‘fdrtool’ .
Background characteristics of the study population are shown in Table 1. The participants´ mean age was 31.4 years at examination in 2001. Nineteen SNPs included in the study are presented in Table 2. Data on COX-2 variants associated with markers of early phase atherosclerosis is presented in Table 3. Imputation quality was high. For rs689470, rs689462 and rs4648261 the squared correlation between imputed and true genotypes (Rsq) values were 0.999, 1 and 0.690 respectively.
Rs689470 and rs689462 were in 100 % linkage disequilibrium. The minor T allele of rs689470 was in linkage with the minor C allele of rs689462. These SNPs associated with carotid artery distensibility (p = 0.005) under the linear regression additive model (Table 3). After adjustment with gender, age, body mass index (BMI) and smoking status, association between these SNPs and Cdist remained significant (p = 0.031). Subjects with the minor T allele of the rs689470 and the minor C allele of the rs689462 had higher value of Cdist compared to the major allele homozygotes. However, after correcting p-values for multiple testing bias, association disappeared (q = 0.137).
Another COX-2 variant rs4648261 associated with mean CIMT (p = 0.046) and maximal CIMT (p = 0.048) under the linear regression model. Subjects carrying the minor A allele of rs4648261 had lower values of mean CIMT and maximal CIMT compared to subjects presenting major allele GG genotype. After adjustment with gender, age, BMI and smoking status the associations were lost with both mean CIMT (p = 0.116) and maximal CIMT (p = 0.121). Also, after correcting for multiple testing bias, the associations were non-significant with mean CIMT (q = 0.896) as well as with maximal CIMT (q = 0.477).
One of the studied SNPs associated with serum cholesterol values (Table 3). Subjects with the minor C allele of the rs5275 had lower mean values of total cholesterol (p = 0.014) and LDL cholesterol (p = 0.009) compared with the major T allele. After adjustment with gender, age, BMI and smoking status, associations remained significant with total cholesterol (p = 0.007) and LDL cholesterol (p = 0.006). Moreover, associations remained significant after multiple testing correction with total cholesterol (q = 0.017) as well as with LDL cholesterol (q = 0.022).
Finally, we also tested a recessive model in evaluating the effect of SNPs on the markers of atherosclerosis. The results were similar in both the additive and recessive model. After adjustment with gender, age, BMI, smoking status, and multiple testing correction in the recessive model, the only associations that remained significant were total cholesterol (q = 0.014) and LDL cholesterol (q = 0.041) for rs 5275.
We evaluated 19 single nucleotide polymorphisms in the COX-2 gene for association with early structural and functional changes of atherosclerosis. No significant associations were found between SNPs under analysis and early atherosclerotic changes in our study.
Decreased Cdist can be considered as an early sign of functional atherosclerosis. It has been approved as an independent cardiovascular risk factor and predictor for mortality in patients with advanced renal disease . There are no previous studies of associations of COX-2 SNPs with Cdist and few that report their association with other markers of preclinical atherosclerosis in young subjects.
The minor C allele of the rs20417 has been associated with atherosclerotic plaques [7, 27]. In contrast, Orbe et al (2006) found that CIMT was reduced in the rs20417 minor C allele carriers. Moreover, Cipollone et al (2004) reported that the minor C allele of the rs20417 was associated with reduced risk of myocardial infarction (MI) and stroke . Other studies have not been able to replicate the result for MI and stroke . The rs20417 was not associated with CIMT in our study population.
Concerning subclinical atherosclerosis in coronary, carotid and aortic arterial beds, Rudock et al (2009) investigated eight COX-2 SNPs and their relationship to calcified plaques in subjects with type 2 diabetes mellitus . They found that three SNPs (rs689466 rs2066826 and rs20417) were associated with coronary or carotid calcified plaques. These three variants were included in our study but they did not associate with CIMT parameters or Cdist. Moreover, we could not do a subgroup analysis, since our study included only 24 subjects who had type 1 diabetes. Since CIMT and Cdist are significantly associated with high LDL-cholesterol, elevated blood pressure, obesity and smoking [16, 19], it is obvious that genetics, e.g. the variation in COX-2 genotype, may be of only minimal importance and difficult to reveal.
Studies showing association with cardiovascular disease for several other SNPs included in this study have already been published. For the minor C allele of rs5275 a beneficial role has been proposed [8, 29]. For rs689466 minor G allele, there is a report of no effect  and a beneficial effect . Rs2066826 minor A allele has also had an beneficial effect . None of these SNPs were associated with CIMT or Cdist in our study.
Subjects with the minor C allele of rs5275 had lower mean values of total cholesterol and LDL cholesterol compared with the major T allele. The difference was small and not clinically relevant. However, in line with our results, there is a previously reported interaction of rs5275 and alcohol in relation to plasma cholesterol levels, where the minor allele carriers with low alcohol intake had the lowest lipid levels .
A major limitation of the present study is that the minor allele frequency of many COX-2 variants was very low. For rs689470 and rs689462 it was 0.016. Therefore, there were no rare allele homozygotes present in our data and the frequencies of the wild type and heterozygote genotypes were 0.97 (n = 2000) and 0.03 (n = 71) respectively. Minor allele frequency of rs4648261 was slightly better, 0.069. Still, there were only four homozygotes for the minor allele and the frequencies of the wild type and heterozygote genotypes were 0.94 (n = 1583) and 0.06 (n = 99) respectively. The number of subjects for minor allele homozygotes and heterozygotes is too small to obtain valid results in association study concerning such a complex disease as atherosclerosis.
In conclusion, our results suggest that in a Finnish population, there are no significant associations between COX-2 variants and early atherosclerotic changes in young adulthood.
Libby P: Molecular bases of the acute coronary syndromes. Circulation. 1995, 91: 2844-2850. 10.1161/01.CIR.91.11.2844.
DeWitt D, Smith WL: Yes, but do they still get headaches?. Cell. 1995, 83: 345-348. 10.1016/0092-8674(95)90109-4.
Cipollone F, Toniato E, Martinotti S, Mezzetti A: Genetic and molecular determinants of atherosclerotic plaque instability. Curr Vasc Pharmacol. 2010, 8: 545-552. 10.2174/157016110791330825.
Schönbeck U, Sukhova GK, Graber P, Coulter S, Libby P: Augmented expression of cyclooxygenase-2 in human atherosclerotic lesions. Am J Pathol. 1999, 155: 1281-1291. 10.1016/S0002-9440(10)65230-3.
Baker CS, Hall RJ, Evans TJ, Pomerance A, Maclouf J, Creminon C, Yacoub MH, Polak JM: Cyclooxygenase-2 is widely expressed in atherosclerotic lesions affecting native and transplanted human coronary arteries and colocalizes with inducible nitric oxide synthase and nitrotyrosine particularly in macrophages. Arterioscler Thromb Vasc Biol. 1999, 19: 646-655. 10.1161/01.ATV.19.3.646.
Linton MF, Fazio S: Cyclooxygenase-2 and inflammation in atherosclerosis. Curr Opin Pharmacol. 2004, 4: 116-123. 10.1016/j.coph.2003.12.003.
Huuskonen KH, Kunnas TA, Tanner MM, Mikkelsson J, Ilveskoski E, Karhunen PJ, Nikkari ST: COX-2 gene promoter polymorphism and coronary artery disease in middle-aged men: the Helsinki sudden death study. Mediators Inflamm. 2008, 2008: 289453-
Vogel U, Segel S, Dethlefsen C, Tjønneland A, Saber AT, Wallin H, Jensen MK, Schmidt EB, Andersen PS, Overvad K: Associations between COX-2 polymorphisms, blood cholesterol and risk of acute coronary syndrome. Atherosclerosis. 2010, 209: 155-162. 10.1016/j.atherosclerosis.2009.08.036.
Cipollone F, Toniato E, Martinotti S, Fazia M, Iezzi A, Cuccurullo C, Pini B, Ursi S, Vitullo G, Averna M, Arca M, Montali A, Campagna F, Ucchino S, Spigonardo F, Taddei S, Virdis A, Ciabattoni G, Notarbartolo A, Cuccurullo F, Mezzetti A: A polymorphism in the cyclooxygenase 2 gene as an inherited protective factor against myocardial infarction and stroke. JAMA. 2004, 291: 2221-2228. 10.1001/jama.291.18.2221.
Berenson GS, Srinivasan SR, Bao W, Newman WP, Tracy RE, Wattigney WA: Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med. 1998, 338: 1650-1656. 10.1056/NEJM199806043382302.
Chan ES, Zhang H, Fernandez P, Edelman SD, Pillinger MH, Ragolia L, Palaia T, Carsons S, Reiss AB: Effect of cyclooxygenase inhibition on cholesterol efflux proteins and atheromatous foam cell transformation in THP-1 human macrophages: a possible mechanism for increased cardiovascular risk. Arthritis Res Ther. 2007, 9: R4-10.1186/ar2109.
Papafili A, Hill MR, Brull DJ, McAnulty RJ, Marshall RP, Humphries SE, Laurent GJ: Common promoter variant in cyclooxygenase-2 represses gene expression: evidence of role in acute-phase inflammatory response. Arterioscler Thromb Vasc Biol. 2002, 22: 1631-1636. 10.1161/01.ATV.0000030340.80207.C5.
Orbe J, Beloqui O, Rodriguez JA, Belzunce MS, Roncal C, Paramo JA: Protective effect of the G-765 C COX-2 polymorphism on subclinical atherosclerosis and inflammatory markers in asymptomatic subjects with cardiovascular risk factors. Clin Chim Acta. 2006, 368: 138-143. 10.1016/j.cca.2005.12.019.
Cok SJ, Morrison AR: The 3´-Untranslated region of murine cyclo-oxygenase-2 contains multiple regulatory elements that alter message stability and translational efficiency. J Biol Chem. 2001, 276: 23179-23185. 10.1074/jbc.M008461200.
Akerblom HK, Viikari J, Uhari M, Räsänen L, Byckling T, Louhivuori K, Pesonen E, Suoninen P, Pietikäinen M, Lähde PL, et al: Atherosclerosis precursors in Finnish children and adolescents. I. General description of the cross-sectional study of 1980, and an account of the children's and families' state of health. Acta Paediatr Scand Suppl. 1985, 318: 49-63.
Raitakari OT, Juonala M, Kähönen M, Taittonen L, Laitinen T, Mäki-Torkko N, Järvisalo MJ, Uhari M, Jokinen E, Rönnemaa T, Åkerblom HK, Viikari JS: Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study. JAMA. 2003, 290: 2277-2283. 10.1001/jama.290.17.2277.
Raitakari OT, Juonala M, Rönnemaa T, Keltinkangas-Järvinen L, Räsänen L, Pietikäinen M, Hutri-Kähönen N, Taittonen L, Jokinen E, Marniemi J, Jula A, Telama R, Kähönen M, Lehtimäki T, Åkerblom HK, Viikari JS: Cohort profile: the Cardiovascular Risk in Young Finns Study. Int J Epidemiol. 2008, 37: 1220-1226. 10.1093/ije/dym225.
Juonala M, Viikari JS, Hutri-Kähönen N, Pietikäinen M, Jokinen E, Taittonen L, Marniemi J, Rönnemaa T, Raitakari OT: The 21-year follow-up of the Cardiovascular Risk in Young Finns Study: risk factor levels, secular trends and east–west difference. J Intern Med. 2004, 255: 457-468. 10.1111/j.1365-2796.2004.01308.x.
Juonala M, Järvisalo MJ, Mäki-Torkko N, Kähönen M, Viikari JS, Raitakari OT: Risk factors identified in childhood and decreased carotid artery elasticity in adulthood: the Cardiovascular Risk in Young Finns Study. Circulation. 2005, 112: 1486-1493. 10.1161/CIRCULATIONAHA.104.502161.
Smith EN, Chen W, Kähönen M, Kettunen J, Lehtimäki T, Peltonen L, Raitakari OT, Salem RM, Schork NJ, Shaw M, Srinivasan SR, Topol EJ, Viikari JS, Berenson GS, Murray SS: Longitudinal genome-wide association of cardiovascular disease risk factors in the Bogalusa heart study. PLoS Genet. 2010, 6: e1001094-10.1371/journal.pgen.1001094.
Li Y, Willer CJ, Ding J, Scheet P, Abecasis GR: MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes. Genet Epidemiol. 2010, 34: 816-834. 10.1002/gepi.20533.
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC: PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007, 81: 559-575. 10.1086/519795.
Aulchenko YS, Struchalin MV, van Duijn CM: ProbABEL package for genome-wide association analysis of imputed data. BMC Bioinformatics. 2010, 11: 134-10.1186/1471-2105-11-134.
Strimmer K: A unified approach to false discovery rate estimation. BMC Bioinformatics. 2008, 9: 303-10.1186/1471-2105-9-303.
Strimmer K: fdrtool: a versatile R package for estimating local and tail area-based false discovery rates. Bioinformatics. 2008, 24: 1461-1462. 10.1093/bioinformatics/btn209.
Blacher J, Pannier B, Guerin AP, Marchais SJ, Safar ME, London GM: Carotid arterial stiffness as a predictor of cardiovascular and all-cause mortality in end-stage renal disease. Hypertension. 1998, 32: 570-574. 10.1161/01.HYP.32.3.570.
Rudock ME, Liu Y, Ziegler JT, Allen SG, Lehtinen AB, Freedman BI, Carr JJ, Langefeld CD, Bowden DW: Association of polymorphisms in cyclooxygenase (COX)-2 with coronary and carotid calcium in the Diabetes Heart Study. Atherosclerosis. 2009, 203: 459-465. 10.1016/j.atherosclerosis.2008.07.018.
Hegener HH, Diehl KA, Kurth T, Gaziano JM, Ridker PM, Zee RY: Polymorphisms of prostaglandin-endoperoxide synthase 2 gene, and prostaglandin-E receptor 2 gene, C-reactive protein concentrations and risk of atherothrombosis: a nested case–control approach. J Thromb Haemost. 2006, 4: 1718-1722. 10.1111/j.1538-7836.2006.02054.x.
Maguire J, Thakkinstian A, Levi C, Lincz L, Bisset L, Sturm J, Scott R, Whyte S, Attia J: Impact of COX-2 rs5275 and rs20417 and GPIIIa rs5918 polymorphisms on 90-day ischemic stroke functional outcome: A novel finding. J Stroke Cerebrovasc Dis. 2011, 20: 134-144. 10.1016/j.jstrokecerebrovasdis.2009.10.011.
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2350/13/32/prepub
The expert technical assistance in the statistical analyses by Irina Lisinen and Ville Aalto is gratefully acknowledged. The Young Finns Study has been financially supported by the Academy of Finland (grants no. 117797, 126925, 121584, 11794, 1124282, 129378, 117787, and 41071), the Social Insurance Institution of Finland, the Turku University Foundation, the Finnish Cultural Foundation, the Yrjö Jahnsson Foundation, the Emil Aaltonen Foundation, special federal grants for Kuopio University Hospital, Kuopio, Tampere (grant 9 M048 for T.L.) and Turku University Hospital Medical Funds, the Juho Vainio Foundation, the Paavo Nurmi Foundation, the Finnish Foundation for Cardiovascular Research and Tampere Tuberculosis Foundation. The funding body did not play a role in the study design, collection, analysis, and interpretation of data, in the writing of the manuscript, or the decision to submit the manuscript for publication.
The authors declare that they have no competing interests.
KL contributed to the analysis and interpretation of the data and drafting the manuscript. TK and STN contributed to conception and design of this study, drafting the manuscript and revising the article critically for important intellectual content. LPL contributed to the analysis and interpretation of the data. OTR, MJ, NH-K, JSV, TLe, MK, LT, TLa and JK contributed to the conception and design of this study and revising the article critically for important intellectual content. NM and JK contributed revising the article critically for important intellectual content. All authors read and approved the final manuscript.
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Lähteelä, K., Kunnas, T., Lyytikäinen, L. et al. No Association of nineteen COX-2 gene variants to preclinical markers of atherosclerosis The Cardiovascular Risk in Young Finns Study. BMC Med Genet 13, 32 (2012) doi:10.1186/1471-2350-13-32
- Young Finn Study
- Major Allele Homozygote
- Early Atherosclerotic Change
- Maximal CIMT
- False Discovery Rate Calculation