Association between NF‑κBI and NF‑κBIA polymorphisms and coronary artery disease

  • Authors:
    • Serdal Arslan
    • Özge Korkmaz
    • Nil Özbilüm
    • Öcal Berkan
  • View Affiliations

  • Published online on: July 29, 2015     https://doi.org/10.3892/br.2015.499
  • Pages: 736-740
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Coronary artery disease (CAD) is the leading cause of fatalities worldwide. Nuclear factor (NF)‑κB is a transcription factor that controls cell proliferation, differentiation and immunity. To the best of our knowledge, the present study is the first investigation of the association between CAD and NF‑κB1 ‑94 W/D/NF‑κBIA 3'‑untranslated region (3'‑UTR) A→G polymorphisms. The study population comprised 226 CAD patients and 201 controls. There was no significant difference in NF‑κB1A 3'‑UTR A→G in the allele and genotype frequencies between case and control populations. The D allele frequency of NF‑κB1 ‑94 in the case group was significantly higher compared to the control group (P=0.028, odds ratio=1.37). The genotype frequency of NF‑κB1 ‑94 DD in the case group was significantly higher compared to the controls (P=0.028). Linkage analysis showed a close linkage among these 2 genes (P<0.001 for case and control), and AD and GD haplotypes were associated with CAD (P<0.001; P=0.015, respectively). NF‑κB1 ‑94 DD genotype can be a significant risk factor for the development of CAD.

Introduction

Coronary artery diseases (CAD) are multifactorial and they are the leading causes of fatality worldwide (1). Cardiovascular diseases are the causes of 40% of all fatalities in Turkey; by contrast, these diseases are the most common causes of fatality among European men <65 years old and the second most common cause in women (2). Atherosclerosis is the most common form of heart disease, and currently, it is accepted to be a chronic inflammatory disease of the arterial wall. Atherosclerosis is associated with dysregulation of the lipoprotein metabolism, formation of pro-inflammatory lipid peroxidation byproducts and abnormal host immune responses (3).

Nuclear factor (NF)-κB, which is a transcription factor, is used by eukaryotic cells. These cells control cell proliferation, differentiation, immunity and cell survival. NF-κB is therefore involved in numerous proinflammatory processes and in apoptosis. Rela, relb, crel, nfkb1, and nfkb2 genes in mammals encode five NF-κB protein family members, RelA (p65), RelB, c-Rel, p50 and p52, respectively; these form homo- and heterodimeric DNA-binding complexes (4). The human NF-κB1 gene encodes 2 proteins; p50, with a DNA binding site derived from C-terminal of p105, and the cytoplasmic molecule p105, which has no DNA binding site (5). The p50 homodimer is believed to have the anti-inflammatory effect (6). NF-κBIA (IκBa) encode the inhibitory version of the NF-κB protein; additionally, the NF-κBIA gene is similarly regulated by NF-κB (7). Through IκB kinases, external signaling molecules lead to phosphorylation of NF-κBIA on 2 serine sites (IKK). Therefore, following nuclear translocation, active NF-κB binds to promoter regions on DNA and regulates gene transcription in this way (8). To the best of our knowledge, there are no studies concerning the association between CAD and NF-κBIA 3′-untranslated region (3′-UTR) A→G; however, there are certain studies in the literature regarding NF-κBI −94 W/D polymorphisms. The aim of the present study was to investigate the associations between NF-κB1 −94 W/D and NF-κBIA 3′-UTR A→G polymorphisms and CAD in a Turkish population. Additionally, subgroup and linkage analysis of these genes were also examined for the first time.

Materials and methods

Study population

In the present study, 226 patients with CAD, consisting of 64 females and 162 males, were selected from Cumhuriyet University Hospital (Sivas, Turkey). The study group comprised inhabitants of Sivas, which is in the middle of Turkey and known as the Anatolian region. The control study populations consisted of 201 individuals (74 females and 127 males), based on clinical signs, physical and laboratory examination data and findings of electrocardiography and echocardiography. The control group was selected as they had a negative test result. The diagnosis of CAD was established angiographically in the presence of >50% stenosis in ≥1 of the 3 major coronary arteries or their major branches and all the patients had stable CAD. The study protocol was approved by the Ethics Committee of the Medical School of Cumhuriyet University. Finally, each participant provided written informed consent (no. of Ethics Committee 2011-02/04). The study group consisted of our previous publications; however, there were 226 patient groups in the present study (no. of Ethics Committee 2011-02/04).

Genotyping

Blood samples of 2 ml were collected in blood collection tubes with EDTA. Genomic DNA was extracted from blood leukocytes using the standard phenol-chloroform method. These polymorphisms were genotyped according to a previous study (9). However, 10% of the study population for homozygous wild-type, heterozygous and homozygous mutation of NF-κB1 −94 ins/delATTG (W/D) and NF-κBIA 3′-UTR A→G were confirmed by direct sequencing using an ABI PRISM 377 automatic sequencer (Applied Biosystems, Foster City, CA, USA).

Statistical analysis

Statistical analysis was performed using SPSS 13.0 (SPSS, Inc., Chicago, IL, USA). Statistical significance of the differences in NF-κB1A and NF-κB1 genotypes, and the demographic and clinical parameters of cases and controls were calculated by Pearson's χ2 test. The t-test was used to evaluate the age distribution between case and control populations. To assess the independent contribution of genotype to CAD, multivariate logistic regression analysis was performed adjusting for age, gender, hypertension, hypercholesterolaemia, smoking habit and diabetes mellitus. For each odds ratio (OR), 95% confidence intervals were calculated. Hardy-Weinberg equilibrium was examined using the Popgene software package (10). Analysis of haplotype frequencies was carried out using the EH programme (11). In all cases, P<0.05 was considered to indicate a statistically significant difference.

Results

Clinical and demographic parameters

The clinical and demographic parameters of patients with CAD and healthy control subjects are presented in Table I. The distribution of age, gender, smoking status, diabetes and hypercholesterolaemia status between the CAD and control groups were not significantly different, except for hypertension (Table I). In addition to the allele and genotype distributions of the CAD and controls, NF-κB1 and NF-κBIA Hardy-Weinberg analysis are presented in Table II.

Table I.

Demographic and clinical parameters of patients with coronary artery disease and healthy control subjects.

Table I.

Demographic and clinical parameters of patients with coronary artery disease and healthy control subjects.

CharacteristicsCasesControlsOR (95% CI)P-value
Total, no. (%)226 (100.00)201 (100.00)
Mean age, years ± SD61.42±6.8156.89±7.14 0.842
Gender, no. (%)
  Female64 (28.32)74 (36.81)
  Male162 (71.68)127 (63.19)1.47 (0.98–2.21)0.061
Smoking status, no. (%)
  Non-smoker99 (43.80)106 (52.73)
  Smoker127 (56.20)95 (47.27)1.43 (0.97–2.09)0.065
Hypertension, no. (%)
  Absent84 (37.17)140 (69.65)
  Present142 (62.83)61 (30.35)3.88 (2.59–5.81)<0.001
Diabetes
  Absent146 (64.60)147 (73.13)
  Present80 (35.40)54 (26.87)1.49 (0.98–2.25)0.058
Hypercholesterolemia, no. (%)
  Absent136 (60.18)137 (70.65)
  Present90 (39.82)64 (29.35)1.41 (0.95–2.11)0.086

[i] OR, odds ratio; CI, confidence interval; SD, standard deviation.

Table II.

Risk estimates and frequencies of allele and genotypes for of NF-κBIA and NF-κBI.

Table II.

Risk estimates and frequencies of allele and genotypes for of NF-κBIA and NF-κBI.

CharacteristicsCases, no. (%)Controls, no. (%)P-valueUnadjusted OR (95% Cl)aAdjusted OR (95% Cl)
NF-κBI
  W266 (58.85)266 (66.17) Ref
  D186 (41.15)136 (33.83)0.0281.37 (1.03–1.81)
  WW76 (33.63)85 (42.29) Ref0.98 (0.52–1.86)b
  WD114 (50.44)96 (47.76)0.1761.33 (0.88–2.00)
  DD36 (15.93)20 (9.95)0.0282.01 (1.07–3.77)2.48 (1.19–5.15)c
  WW+WD190 (84.07)181 (90.05)0.0680.58 (0.32–1.04)2.09 (1.25–3.52)d
  P0.5550.361
  χ20.3580.831
NF-κBIA
  A270 (59.73)264 (65.67) Ref
  G182 (40.27)138 (34.33)0.0741.29 (0.98–1.70)
  AA80 (35.40)90 (44.78) Ref0.95 (0.47–1.88)e
  AG110 (48.67)84 (41.79)0.0661.47 (0.97–2.23)
  GG36 (15.93)27 (13.43)0.1721.50 (0.84–2.69)1.99 (0.99–3.99)f
  AA+AG190 (84.07)174 (86.57)0.4680.82 (0.48–1.40)7.39 (3.65–14.97)g
  P0.8850.283
  χ20.0201.150
Frequencies of haplotypes
NF-κBIA and NF-κBI
  A and W160 (35.42)158 (39.13)RefRefRef
  A and D58 (12.80)20 (5.25)<0.0012.86 (1.65–4.98)3.60 (1.44–8.99)
  G and W110 (24.36)146 (36.18)0.0920.74 (0.53–1.04)0.67 (0.38–1.19)
  G and D124 (27.42)78 (19.44)0.0151.57 (1.10–2.25)2.17 (1.17–4.05)

a Adjusted for age, gender, hypertension, smoking habit, hypercholesterolemia and diabetes. NF-κBI

b WW vs. WD+DD (dominant model)

c WW vs. WD vs. DD (log-additive model)

d WW+WD vs. DD (recessive model). NF-κBIA

e AA vs. AG+GG (dominant model)

f AA vs. AG vs. GG (log-additive model)

g AA+AG vs. GG (recessive model). NF-κB, nuclear factor-κB; OR, odds ratio; CI, confidence interval.

Allelic frequencies

Distribution of the NF-κB1 allelic frequency differed significantly between the atherosclerosis cases and controls (P=0.028; OR=1.37). Comparison of the WW genotype with DD genotypes revealed that the variation between CAD patients and controls was statistically significant (P=0.028; OR=2.01). Individuals with NF-κB1 DD genotype have a 2.73-fold higher risk of atherosclerosis when compared to the case and control group (adjusted OR=2.73) (Table II).

Haplotype analysis

Haplotype analysis was carried out for all the possible haplotypes and all 4 haplotypes, determined by the 2 single-nucleotide polymorphisms, were observed in the study samples. The haplotype frequencies of NF-κBI and NF-κBIA showed that there was a strong linkage among the 2 genes for the cases and control (for case χ2=17.64 and P<0.001; for control χ2=12.89 and P<0.001) (Table II). The distributions of AD and GD haplotype frequencies between cases and the controls were statistically significant (P<0.001, P=0.015, respectively).

Risk estimates with regards to the parameters

The risk estimates of the NF-κBI polymorphisms were calculated in demographic and clinical parameters; as NF-κBI was statistically significant (Table III). Male CAD patients had significantly higher frequencies of the DD genotype compared to the controls (P=0.001; OR=4.48). When compared to the controls, CAD patients with hypertension also had significantly higher frequencies of the DD and WD genotypes (P<0.001, OR=4.07; and P=0.023, OR=3.35) (Table III). Hypercholesterolaemia CAD patients had statistically different frequencies of WD and DD genotypes compared to the controls (P=0.024, OR=2.23; and P=0.031, OR=3.11).

Table III.

Risk estimates of NF-κBI polymorphisms in the demographic and clinical parameters.

Table III.

Risk estimates of NF-κBI polymorphisms in the demographic and clinical parameters.

NF-κBICases, no. (%)Controls, no. (%)P-valueOR (95%Cl)
Female
  WW23 (35.94)28 (37.83)
  WD30 (46.87)32 (43.24)0.7271.14 (0.54–2.40)
  DD11 (17.19)14 (18.91)0.9280.95 (0.36–2.50)
Male
  WW53 (32.72)57 (44.88)
  WD84 (51.85)64 (50.39)0.1721.41 (0.86–2.32)
  DD25 (15.43)6 (4.73)0.0014.48 (1.70–11.78)
Smoking
  WW42 (33.07)45 (47.37)
  WD66 (51.97)40 (42.10)0.0511.76 (0.99–3.14)
  DD19 (14.96)10 (10.53)0.1072.03 (0.85–4.87)
Hypertension
  WW49 (34.51)41 (67.21)
  WD73 (51.41)15 (24.59)<0.0014.07 (2.04–8.15)
  DD20 (14.08)5 (8.20)0.0233.35 (1.15–9.70)
Diabetes
  WW30 (37.50)26 (48.15)
  WD33 (41.25)21 (38.89)0.4241.34 (0.61–2.98)
  DD17 (21.25)7 (12.96)0.1511.51 (0.70–6.12)
Hypercholesterolemia
  WW30 (33.33)35 (54.69)
  WD44 (48.89)23 (35.94)0.0242.23 (1.10–4.50)
  DD16 (17.78)6 (9.37)0.0313.11 (1.08–8.95)

[i] NF-κBI, nuclear factor-κBI; OR, odds ratio; CI, confidence interval.

Discussion

The association between CAD and NF-κB1/NF-κB1A polymorphisms was investigated in the present study. While the allele frequency of NF-κB1A was 34.33% in the controls, it was reported as 36% in China, 37% in a German population, 45% in a Czech population (12) and 29% in an Australian-Jewish population (13). Arslan and Engin (9) reported this allele frequency as 32.3% in a Turkish population. In the present study, it was determined that there was not a significant association between NF-κBIA polymorphisms and CAD (Table II). A different polymorphism of NF-κBIA was examined in our previous study and there was a significant association between NF-κBIA −826 C/T polymorphisms and CAD (P=0.030) (14). NF-κBIA polymorphism has been associated with inflammatory and immune diseases, including Crohn's diseases (CD) (15) and type 2 diabetes. The NF-κBIA polymorphism has a weak interaction between NF-κB and IκB; this occurrence had an effect on the expression, structure and function of the protein produced (16).

The frequency of the NF-κBI D allele was previously reported to vary from 32 to 54% between certain ethnic populations, compared with 33.83% in the present study (17,18). The frequency of the NF-κB1 D allele has previously been reported as 33.59% in a Turkish population (9). The present study identified a statistical difference between the NF-κBI DD genotype and CAD patients compared with healthy controls in the present study (P=0.028). Individuals with the DD genotype have a 2.73-fold greater risk of CAD compared to those carrying the WW genotype (adjusted OR=2.73) (Table II). However, there was no significant difference in the NF-κB1 WD genotype frequencies between CAD patient and control populations compared to those carrying the WW genotype (P=0.176) (Table II). Liang et al (19) conducted a meta-analysis of different ethnic groups with inflammatory bowel disease, which includes ulcerative colitis (UC) and CD. The study reported a significant genetic association of the NF-κB1 gene polymorphism with UC, but not CD. Another meta-analysis, composed of different ethnic groups, reported that a significant association was identified between the NF-ĸB1 polymorphism and autoimmune and inflammatory diseases in the Asian population (20). Karban et al (21) stated that, when compared with the W allele in vitro, the NF-ĸB1 gene with the D allele exhibited reduced transcription activity. Vogel et al (22) identified that the p50 depletion of the del-allele affects the anti-inflammatory response. The study identified that patients with the del-allele have a higher risk of CAD. The haplotype analysis was also examined in Table II. By contrast, a significant association was determined of the AD and GD haplotypes between the case and control groups (P<0.001 adjusted OR=3.60; and P=0.015, adjusted OR=2.17, respectively). Individuals with the NF-ĸB1 D allele may not produce an adequate immune response against inflammation due to the low transcriptional activity of the NF-κB gene.

Subgroups of the NF-ĸB1 polymorphisms were studied as this polymorphism is significant for CAD (Table III). There was a statistically significant difference between case and control populations in males, hypercholesterolaemia and hypertension (P=0.001, P=0.031 and P=0.023, respectively) (Table III). Male individuals have a 4-fold higher risk of CAD compared to female individuals (for males, OR=4.48; for females, OR=0.95). The difference between gender results from certain risks and hormonal factors during development periods (23). There was a statistically significant difference between case and control in the hypercholesterolaemia comparison of the WW genotype, WD and DD genotypes (P=0.031 and P=0.024, respectively). Low-grade inflammation is mainly coordinated by NF-κB; it is also known to be associated with an altered lipid profile (24). In prospective studies, it was reported that plasma C-reactive protein (CRP) levels are risk factors for CAD, and CRP polymorphisms were associated with high CRP levels (25). Cha-Molstad et al (26) reported that the p50 dimer of NF-κB activates transcription of CRP. Vogel et al (22) identified that the del-allele carriers had lower CRP levels. There was a statistically significant difference between case and controls for hypertension in the comparison of the WW genotype and WD and DD genotypes (P<0.001 and P=0.023). Individuals with the DD genotype have a 3-fold higher risk of CAD compared to WW (OR=3.35) (Table III). Hypertension, diabetes and hypercholesterolaemia are intermediate variables between inflammation and CAD (22).

In conclusion, the associations between CAD and NF-κBI −94 W/D and NF-κBIA 3′-UTR A→G polymorphisms were investigated for the first time in a Turkish population. The present study indicated that CAD is associated with the NF-κBI −94 W/D but not with NF-κBIA 3′-UTR A→G. The NF-κBI DD genotype may be a significant risk factor for developing CAD. As mentioned previously, linkage analysis was also performed, and the results of this analysis showed that there was a strong linkage between these 2 genes, and the AD and GD haplotypes were associated with CAD. Subgroup analyses of NF-κBI −94 W/D identified that there was a statistically significant difference between case and control in males, hypertension and hypercholesterolaemia.

Acknowledgements

The present study was supported by the Research Council of Cumhuriyet University (CUBAP, project no. F-340), Sivas, Turkey.

References

1 

World Health Organization (WHO), . Prevention of Cardiovascular disease: Guidelines for assessment and management of cardiovascular risk. WHO Library; Geneva, Switzerland: 2007

2 

Onat A, Yazıcı M, Sarı İ, Türkmen S, Uzunlar B and Uyarel H ve ark: TEKHARF 2003 yılı tarama takibi: ölüm ve koroner olaylara ilişkin sonuçlar şehirlilerde mortalitenin azaldığına işaret. Türk Kardiyol Dern Arş. 31:762–769. 2003.(In Turkish).

3 

Ross R: Atherosclerosis - an inflammatory disease. N Eng J Med. 340:115–126. 1999. View Article : Google Scholar

4 

O'Dea E and Hoffmann A: NF-κB signaling. Wiley Interdiscip Rev Syst Biol Med. 1:107–115. 2009. View Article : Google Scholar : PubMed/NCBI

5 

Heron E, Deloukas P and Van Loon AP: The complete exon-intron structure of the 150-kb human gene NFKB1, which encodes p105 and p50 proteins of transcription factors NF-kappa B and I kappa B-gamma: Implications for NF-kappa B-mediated signal transduction. Genomics. 30:493–505. 1995. View Article : Google Scholar : PubMed/NCBI

6 

Pereira SG and Oakley F: Nuclear factor-kappaB1: Regulation and function. Int J Biochem Cell Biol. 40:1425–1430. 2008. View Article : Google Scholar : PubMed/NCBI

7 

Chiao PJ, Miyamoto S and Verma IM: Autoregulation of I kappa B alpha activity. Proc Natl Acad Sci USA. 91:28–32. 1994. View Article : Google Scholar : PubMed/NCBI

8 

Baeuerle PA: IkappaB-NF-kappaB structures: At the interface of inflammation control. Cell. 95:729–731. 1998. View Article : Google Scholar : PubMed/NCBI

9 

Arslan S and Engin A: Relationship between NF-κB1 and NF-κBIA genetic polymorphisms and Crimean-Congo hemorrhagic fever. Scand J Infect Dis. 44:138–143. 2012. View Article : Google Scholar : PubMed/NCBI

10 

Yeh FC and Boyle TJB: Population genetic analysis of co-dominant and dominant markers and quantitative traits. Belgian Journal of Botany. 129:1571997.

11 

Terwilliger JD and Ott J: A novel polylocus method for linkage analysis using the lod-score or affected sib-pair method. Genet Epidemiol. 10:477–482. 1993. View Article : Google Scholar : PubMed/NCBI

12 

Romzova M, Hohenadel D, Kolostova K, et al: NF-κB and its inhibitor IκB in relation to type 2 diabetes and its microvascular and atherosclerotic complications. Hum Immunol. 67:706–713. 2006. View Article : Google Scholar : PubMed/NCBI

13 

Curran JE, Weinstein SR and Griffiths LR: Polymorphic variants of NFKB1 and its inhibitory protein NFKBIA, and their involvement in sporadic breast cancer. Cancer Lett. 188:103–107. 2002. View Article : Google Scholar : PubMed/NCBI

14 

Özbilüm N, Arslan S, Berkan Ö, Yanartaş M and Aydemir EI: The role of NF-κB1A promoter polymorphisms on coronary artery disease risk. Basic Clin Pharmacol Toxicol. 113:187–192. 2013. View Article : Google Scholar : PubMed/NCBI

15 

Klein W, Tromm A, Folwaczny C, Hagedorn M, Duerig N, Epplen JT, Schmiegel WH and Griga T: Polymorphism of the NFKBIA gene is associated with Crohn's disease patients lacking a predisposing allele of the CARD15 gene. Int J Colorectal Dis. 19:153–156. 2004. View Article : Google Scholar : PubMed/NCBI

16 

Parker KM, Ma MH, Manyak S, et al: Identification of polymorphisms of the IκBα gene associated with an increased risk of multiple myeloma. Cancer Genet Cytogenet. 137:43–48. 2002. View Article : Google Scholar : PubMed/NCBI

17 

Lin CW, Hsieh YS, Hsin CH, et al: Effects of NFKB1 and NFKBIA gene polymorphisms on susceptibility to environmental factors and the clinicopathologic development of oral cancer. PLoS One. 7:e350782012. View Article : Google Scholar : PubMed/NCBI

18 

Zhang P, Wei Q, Li X, et al: A functional insertion/deletion polymorphism in the promoter region of the NFKB1 gene increases susceptibility for prostate cancer. Cancer Genet Cytogenet. 191:73–77. 2009. View Article : Google Scholar : PubMed/NCBI

19 

Liang M, Xu X, Gong Y, Tang Y and Lin L: Risk association between the NF-κB1 −94ins/delATTG promoter polymorphism and inflammatory bowel diseases: A meta-analysis. Dig Dis Sci. 57:2304–2309. 2012. View Article : Google Scholar : PubMed/NCBI

20 

Zou YF, Wang F, Feng XL, Tao JH, Zhu JM, Pan FM and Su H: Association of NFKB1 −94ins/delATTG promoter polymorphism with susceptibility to autoimmune and inflammatory diseases: A meta-analysis. Tissue Antigens. 77:9–17. 2011. View Article : Google Scholar : PubMed/NCBI

21 

Karban AS, Okazaki T, Panhuysen CI, et al: Functional annotation of a novel NFKB1 promoter polymorphism that increases risk for ulcerative colitis. Hum Mol Genet. 13:35–45. 2004. View Article : Google Scholar : PubMed/NCBI

22 

Vogel U, Jensen MK, Due KM, et al: The NFKB1 ATTG ins/del polymorphism and risk of coronary heart disease in three independent populations. Atherosclerosis. 219:200–204. 2011. View Article : Google Scholar : PubMed/NCBI

23 

Chen Z, Ma G, Qian Q, Yao Y, Feng Y and Tang C: Toll-like receptor 8 polymorphism and coronary artery disease. Mol Biol Rep. 36:1897–1901. 2009. View Article : Google Scholar : PubMed/NCBI

24 

Hotamisligil GS: Inflammation and metabolic disorders. Nature. 444:860–867. 2006. View Article : Google Scholar : PubMed/NCBI

25 

Elliott P, Chambers JC, Zhang W, et al: Genetic Loci associated with C-reactive protein levels and risk of coronary heart disease. JAMA. 302:37–48. 2009. View Article : Google Scholar : PubMed/NCBI

26 

ChaMolstad H, Agrawal A, Zhang D, Samols D and Kushner I: The Rel family member P50 mediates cytokine-induced C-reactive protein expression by a novel mechanism. J Immunol. 165:4592–4597. 2000. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

September-2015
Volume 3 Issue 5

Print ISSN: 2049-9434
Online ISSN:2049-9442

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Arslan S, Korkmaz Ö, Özbilüm N and Berkan Ö: Association between NF‑κBI and NF‑κBIA polymorphisms and coronary artery disease. Biomed Rep 3: 736-740, 2015.
APA
Arslan, S., Korkmaz, Ö., Özbilüm, N., & Berkan, Ö. (2015). Association between NF‑κBI and NF‑κBIA polymorphisms and coronary artery disease. Biomedical Reports, 3, 736-740. https://doi.org/10.3892/br.2015.499
MLA
Arslan, S., Korkmaz, Ö., Özbilüm, N., Berkan, Ö."Association between NF‑κBI and NF‑κBIA polymorphisms and coronary artery disease". Biomedical Reports 3.5 (2015): 736-740.
Chicago
Arslan, S., Korkmaz, Ö., Özbilüm, N., Berkan, Ö."Association between NF‑κBI and NF‑κBIA polymorphisms and coronary artery disease". Biomedical Reports 3, no. 5 (2015): 736-740. https://doi.org/10.3892/br.2015.499