Skip to main content
Data in Brief logoLink to Data in Brief
. 2016 Jul 16;8:1295–1299. doi: 10.1016/j.dib.2016.07.020

Data on IL-6 c.-174 G>C genotype and allele frequencies in patients with coronary heart disease in dependence of cardiovascular outcome

Stefan Reichert a,, Axel Schlitt b,c, Ann-Christin Benten a, Britt Hofmann d, Hans-Günter Schaller a, Susanne Schulz a
PMCID: PMC4990635  PMID: 27570807

Abstract

In this data article we present data on the distribution of alleles and genotypes of the interleukin (IL)-6 c.-174 G>C polymorphism (rs 1800795) in patients with coronary heart disease (CHD) in dependence of the incidence of new cardiovascular events (combined endpoint: myocardial infarction, stroke/TIA, cardiac death, death according to stroke) within three years follow-up. Moreover, we investigated putative associations between individual expression of IL-6 genotypes and IL-6 serum level. This investigation is a subanalysis of the article entitled “The Interleukin 6 c.-174 CC genotype is a predictor for new cardiovascular events in patients with coronary heart disease within three years follow-up“ (ClinicalTrials.gov identifier: NCT01045070) (Reichert et al., 2016) [1].

Keywords: Coronary heart disease, IL-6 serum level, IL-6 polymorphism, New cardiovascular events

Specifications Table

Subject area Genetics, serology, cohort study
More specific subject area IL-6 c.-174 G>C polymorphisms, alleles, genotypes, IL-6 serum level, new cardiovascular events, coronary heart disease
Type of data Table, figure
How data was acquired Venous EDTA-blood (IL-6 genotyping, IL-6 serum level), standardized questionnaire for acquire follow-up data
Data format Analyzed
Experimental factors Venous blood for genetic and serologic analyses was acquired at baseline during in-patient phase. New cardiovascular events were evaluated within three years follow-up
Experimental features IL-6 genotyping was carried out with PCR-SSP
Data source location Martin-Luther University Halle-Wittenberg Department for Operative Dentistry and Periodontology
Data accessibility Data are within this article.

Value of the data

  • Previously unreported data about the distribution of IL-6 c.-174 G>C genotypes among German patients with cardiovascular disease in relation to the incidence of new cardiovascular events

  • Data may stimulate further research in order to identify new biomarkers for cardiovascular outcome [2], [3], [4].

  • Data may improve the development of individual therapeutic strategies in order to prevent new adverse events in patients with coronary heart disease.

1. Data

Patients who were carrier of the IL-6 c.-174 CC genotype suffered more frequently from a new cardiovascular event whereas carriers of the genotype CG experienced the combined endpoint less often. There was no significant association between the genotype GG and incidence of the combined endpoint (Table 1). Regarding the allele distribution we obtained a positive association between C allele and new adverse events (Table 2). There were no significant differences regarding IL-6 serum levels between carriers of the genotypes GG, CG, and CC (Fig. 1).

Table 1.

Distribution of IL-6 genotypes in dependence of the incidence of the combined endpoint (myocardial infarction, Transient Ischemic attack/stroke, cardiovascular death or death according to stroke). Statistical comparisons were made by Chi-square test. The arrow indicates the higher frequency of CC carriers among patients with new cardiovascular events.

IL-6 174 G>C genotypes All patients (n=895) % No event (n=751) % Event (n=144) % p-Value
CC versus 21.5 19.2 33.3↑
GG+CG 78.5 80.8 66.7 <0.0001
CG versus 48.8 50.7 38.9
GG +CC 51.2 49.3 61.1 0.009
GG versus 29.7 30.1 27.8
CG+CC 70.3 69.9 72.2 0.578

Table 2.

Distribution of IL-6 alleles in dependence of the incidence of the combined endpoint (myocardial infarction, transient ischemic attack/stroke, cardiovascular death or death according to stroke). Statistical comparisons were made by Chi-square test. The arrow indicates the higher frequency of C carriers among patients with new cardiovascular events.

IL-6 174 G>C alleles All patients chromosomes (n=1790) % No event chromosomes (n=1502) % Event chromosomes (n=288) % p-Value
G 54.1 55.5 47.2
C 45.9 44.5 52.8↑ 0.010

Fig. 1.

Fig. 1

Boxplots of IL-6 serum levels in dependence of the individual expression of the IL-6 c.-174 G>C genotypes GG, CG and CC. Statistical comparison was made with Kruskal–Wallis test.

2. Experimental design, materials and methods

2.1. Patient group at baseline

The investigation was carried out in accordance with the ethical guidelines of the “Declaration of Helsinki” and its amendment in “Tokyo and Venice” and were approved by the local ethics committee.

This subanalysis comprised 942 in-patients with CHD (age 66.8±11.01 years, males 74%) at study entry from October 2009 to February 2011. Inclusion criteria were age ≥18 years and known CHD as defined by a stenosis of ≥50% of a main coronary artery by coronary angiography or percutaneous coronary intervention (PCI) or coronary artery bypass surgery (CABG). At least four own teeth except for the third molars needed to be present. Exclusion criteria were pregnancy, antibiotic therapy during the last 3 months, subgingival scaling and root planing during the last 6 months or psychological reasons rendering study participation impractical. Patients with current alcohol or drug abuse might be not completely able to understand the aim of the study and the necessity of an additional dental examination. If a drug or alcohol abuse was known from patient׳s file or a patient reported during the interview about a current drug or alcohol abuse he/she was not included in the study.

2.2. Follow-up

A follow-up was performed after three years from November 2013 to January 2015. The incidence of the predefined combined endpoint (combined endpoint: myocardial infarction, stroke/transient ischemic attack, cardiac death, death caused by stroke) was calculated. This information was obtained from electronic patient files, physicians, relatives, and civil registration offices. For acquiring follow-up data we sent out a standardized questionnaire. If patients did not return the questionnaires, we conducted a telephone interview with the patient or his/her relatives or contacted the patient׳s physician. If follow-up information could not be obtained from these persons, we contacted civil registration offices and requested information about current address or date of death.

From 895 of 942 initial included patients follow-up data were available (drop-out rate 4.9%) after three years follow-up (153.4±48.8 weeks). The incidence of the combined endpoint was 16.1%.

2.3. Determination of IL-6 serum level and c.-174 IL-6 polymorphism

Blood samples for determination of IL-6 serum level and IL-6 genotyping were taken at begin of the study from all study participants during their hospital stay. Serum level for IL-6 was determined with electrochemiluminescent immunoassay (ECLIA) using a Cobas e 602 module (Roche Diagnostics) in the central laboratory of University Clinics Halle (Saale).

The determination of IL-6 c.-174 G>C polymorphism was carried out with PCR-SSP (sequence specific oligonucleotides) using the CYTOKINE Genotyping array CTS-PCR-SSP kit (Collaborative Transplant Study, Department of Transplantation Immunology of the University Clinic of Heidelberg, Germany) in the laboratory of the Department of Operative Dentistry and Periodontology.

2.4. Statistical analyses

Statistical analyses were carried out using commercial available software (SPSS v.20.0 package, IBM, Chicago, IL). The IL-6 genotype and allele frequencies were calculated by direct counting and then dividing by the number of subjects to produce genotype frequency, or by the number of chromosomes to produce allele frequency. Differences between patients and controls were determined by chi-square test. The values for IL-6 serum level were checked for normal distribution using the Kolmogorov–Smirnov test and the Shapiro-Wilk test. As they were not normally distributed, comparisons in dependence of IL-6 genotypes were carried out with Kruskal–Wallis test. In general, p values ≤0.05 were accepted as statistically significant.

Acknowledgements

The study was supported by a grant of the Deutsche Herzstiftung, Frankfurt am Main, Germany (F/34/08) and by an unrestricted grant from HAIN-Diagnostica®, Nehren, (Germany). We would like to thank all patients for their cooperation in this study.

Footnotes

Transparency document

Supplementary material associated with this article can be found in the online version at doi:10.1016/j.dib.2016.07.020.

Transparency document. Supplementary material

Supplementary material

mmc1.docx (13.8KB, docx)

References

  • 1.Reichert S., Schlitt A., Benten A.C., Hofmann B., Schaller H.G., Schulz S. The interleukin 6 c.−174 CC genotype is a predictor for new cardiovascular events in patients with coronary heart disease within three years follow-up. Cytokine. 2016;83:136–138. doi: 10.1016/j.cyto.2016.04.011. [DOI] [PubMed] [Google Scholar]
  • 2.Patterson C.C., Blankenberg S., Ben-Shlomo Y. Which biomarkers are predictive specifically for cardiovascular or for non-cardiovascular mortality in men? Evidence from the Caerphilly Prospective Study (CaPS) Int. J. Cardiol. 2015;201:113–118. doi: 10.1016/j.ijcard.2015.07.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Bao P., Liu G., Wei Y. Association between IL-6 and related risk factors of metabolic syndrome and cardiovascular disease in young rats. Int. J. Clin. Exp. Med. 2015;8:13491–13499. [PMC free article] [PubMed] [Google Scholar]
  • 4.Tehrani D.M., Wong N.D. Cardiovascular disease risk assessment: review of established and newer modalities. Curr. Treat. Options Cardiovasc. Med. 2015;17:57. doi: 10.1007/s11936-015-0420-z. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary material

mmc1.docx (13.8KB, docx)

Articles from Data in Brief are provided here courtesy of Elsevier

RESOURCES