Correction
10 Dec 2013: Feng Y, Zhou J, Gu C, Ding Y, Wan H, et al. (2013) Correction: Association of Six Well-Characterized Polymorphisms in TNF-α and TNF-β Genes with Sarcoidosis: A Meta-Analysis. PLOS ONE 8(12): 10.1371/annotation/679667f2-b4aa-42e8-8c59-511f60256420. https://doi.org/10.1371/annotation/679667f2-b4aa-42e8-8c59-511f60256420 View correction
Figures
Abstract
Backgrounds
In this study, we aimed to investigate the association of six well-characterized polymorphisms in tumor necrosis factor alpha and beta (TNF-α and TNF-β) genes with the risk for sarcoidosis via a comprehensive meta-analysis.
Methods And Findings
The electronic MEDLINE (Ovid) and PubMed databases covering the period from the earliest possible year to June 2013 were searched. Total 13 qualified articles including 1584 patients with sarcoidosis and 2636 controls were recruited. The data were analyzed by RevMan software, and risk estimates were expressed as odds ratios (ORs) and 95% confidence intervals (95% CIs). Analyses of the full data set failed to identify any significant association of TNF-α gene -307A (OR=1.25; 95% CI: 0.98-1.59), -1031C (OR=0.88; 95% CI: 0.71-1.1), -863A (OR=0.89; 95% CI: 0.72-1.11), -238A (OR=0.97; 95% CI: 0.71-1.32), and -857T (OR=1.14; 95% CI: 0.74-1.77) alleles, but a significant association for TNF-β 252A allele (OR=1.65; 95%CI = 1.33-2.04; P<0.00001). Under a random-effects allelic model, there was marginally significant increased risk of sarcoidosis for -307A allele among Caucasians (OR=1.25; 95% CI: 0.96-1.62; P=0.09) but not among Asians (OR=2.12; 95% CI: 0.31-14.27; P=0.44). There was a low probability of publication bias as reflected by the fail-safe number.
Citation: Feng Y, Zhou J, Gu C, Ding Y, Wan H, Ni L, et al. (2013) Association of Six Well-Characterized Polymorphisms in TNF-α and TNF-β Genes with Sarcoidosis: A Meta-Analysis. PLoS ONE 8(11): e80150. https://doi.org/10.1371/journal.pone.0080150
Editor: Marco Idzko, University Hospital Freiburg, Germany
Received: July 1, 2013; Accepted: September 30, 2013; Published: November 7, 2013
Copyright: © 2013 Feng 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 study was supported by the National Natural Science Foundation of China (81201837). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Sarcoidosis is a multiorgan inflammatory disorder with unknown etiology; it is characterized by the accumulated activation of the CD4+ T lymphocytes and macrophages at disease sites and by the formation of noncaseating epithelioid cell granulomas [1]. The onset age of sarcoidosis ranges from 20 to 40 years, and it often affects the lungs with 5% of the patients resulting in lung fibrosis, and eventually respiratory insufficiency [2,3]. Due to a significant but unpredictable risk of recurrence, sarcoidosis is suggested to be an independent clinical disease with a constitutional, and possibly a genetic component in its etiology. Muller-Quernheim and coworkers have written an excellent review on the genetic aspects of sarcoidosis [4]; however, to determine how many genes and which genetic determinants are actually involved in the pathogenesis of sarcoidosis so far remains an interpretive challenge.
Epidemiological data supported that the increased production of tumor necrosis factor (TNF) family members may have physiological implications on the development of sarcoidosis [5]. TNF family is a growing group of cytokines, and mainly includes TNF alpha and beta (TNF-α and TNF-β). The genes encoding TNF-α and TNF-β are located adjacent to each other in the major histocompatibility complex class III region on chromosome 6p21.3. Given the highly polymorphic sequences of both genes, it is of interest to determine which genetic defects have the causal potentials to regulate plasma TNF-α and TNF-β levels, further to precipitate the occurrence of sarcoidosis. Although exhaustive association studies have been undertaken to address this issue, no definitive conclusion has yet been reached in the literature, with irreproducible results. As a caveat, this lack of reproducibility might be mainly attributed to the ethnicity-specific genetic profiles and the individual underpowered studies. To generate more information, we carried out a meta-analysis of all available case-control studies to investigate the association of genetic polymorphisms of TNF-α and TNF-β with the risk of sarcoidosis. Selection of polymorphisms under study is straightforward if three or more unduplicated studies are available for a certain polymorphism in TNF-α and TNF-β genes.
Methods
Meta-analysis of observational studies poses particular challenges due to the inherent biases and differences in study designs. In this context, we carried out this meta-analysis in accordance with the standards set forth by the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline (please see Checklist S1) [6].
Literature search
The electronic Medline (Ovid) and PubMed databases covering the period from the earliest possible year to June 2013 were searched for potentially eligible publications. The key words used for the search were “TNF-α or TNFA or TNF-β or lymphotoxin-α or LTA” and “sarcoidosis”, combined with “gene or variant or polymorphism or allele”. The research was also supplemented by reviews of reference lists, hand-searching of relevant journals, and correspondence with authors. If multiple publications were available from the same study group, the most complete and the recent results were abstracted. Search results were limited to articles published in English language and studies performed in human subjects.
Inclusion/exclusion criteria
Our analyses were restricted to articles that fulfilled the following inclusion criteria (all must be satisfied): 1) if they investigated the association between genetic polymorphisms in TNF-α or TNF-β gene and sarcoidosis among unrelated subjects; 2) if they had genotypes of examined polymorphisms tested by validated sample size; 3) if they were on a case-control study design; 4) if they provided sufficient information on the genotypes or alleles of examined polymorphisms to allow an estimation of odds ratio (OR) and its corresponding 95% confidence interval (95% CI).
Articles were excluded (one was sufficient) if they investigated the progression, severity, phenotype modification, response to treatment or survival, as well as if they were conference abstracts, case reports/series, editorials, review articles, or the non-English articles.
Data extraction
Data were extracted from qualified articles independently by two investigators (YF and WN) according to a standardized Excel template (Microsoft Corp, Redmond, WA). The following data were collected from each study: first author, year of publication, ethnicity, baseline characteristics of the study population, total number of cases and controls, and genotype or allele distributions in cases and controls. Information on the Hardy-Weinberg equilibrium test was also tracked or calculated if unavailable. After data extraction, discrepancies were adjudicated by discussion and a consensus was reached.
Statistical analyses
The meta-analysis was calculated using the Review Manager version 5.0.19 software available at website http://ims.cochrane.org/revman/download. Hardy-Weinberg equilibrium was assessed with the Pearson χ2 test or the Fisher’s exact test (SAS version 9.1.3, Institute Inc., Cary, NC, USA).
The inconsistency index (I2) was used to quantify the presence of between-study heterogeneity with a statistical significance of 0.1. In this study, we applied the random-effects model for all comparisons because it accommodates the possibility that the underlying effect differs across studies. For practical use, the random-effects model is more conservative and has a wider 95% CI than the fixed-effects model.
Sensitivity analyses were performed to look at more narrowly drawn subsets of the studies by removing an individual study each time or studies with similar features such as deviation from Hardy-Weinberg equilibrium to assess their separate influence. Predefined subgroup analyses were performed a priori according to the ethnicity.
Publication bias was assessed by the fail-safe number (Nfs) with the significance set at 0.05 for each meta-comparison. Specifically, if the calculated Nfs value was smaller than the number of studies observed, the meta-analysis results might have publication bias. We calculated the Nfs0.05 according to the formula Nfs0.05 = (ΣZ/1.64) 2 - k, where k is the number of articles included.
Results
Study characteristics
Based on the search strategy, our primary search produced 32 potentially relevant articles, of which 13 qualified articles met the inclusion criteria [7-19]. In total, 1584 patients with sarcoidosis and 2636 controls and were examined. The detailed selection process is presented in Figure 1. The baseline characteristics of qualified studies are presented in Table 1. Of the 12 case-controls articles examining the association between the TNF-α gene G-307A polymorphism and sarcoidosis risk, 9 involved Caucasian populations [7,9,11-13,15-17,19], and 3 included Asian populations [8,10,14].
| Polymorphism and Author | Year | Ethnicity | Total sample size | Allele distributions | Characteristics | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Controls | Cases | Controls | Cases | |||||||
| TNF-α C-857T | C | T | C | T | ||||||
| Grutters JC et al. | 2002 | Caucasian | 576 | 196 | 1068 | 84 | 339 | 53 | The controls were sex- and age-matched healthy volunteers. | |
| Seyhan EC et al. | 2008 | Turkish | 110 | 90 | 164 | 56 | 142 | 38 | Controls (age: 45.39±13.1, M/F: 36/74). Cases (age: 44.5±11.2, M/F: 35/55). | |
| Sharma S et al. | 2008 | Indian | 155 | 96 | 276 | 34 | 171 | 21 | Cases (age: 43.5 9). Controls were age-matched healthy volunteers. | |
| Makrythanasis P et al. | 2010 | Greek | 178 | 100 | 265 | 91 | 148 | 52 | Controls (age: 30.7 ± 5.7). Cases (age: 53.3 ± 13.5). | |
| TNF-α G307 A | G | A | G | A | ||||||
| Seitzer U et al. | 1997 | Germany | 216 | 101 | 349 | 83 | 155 | 47 | The controls were sex- and age-matched healthy volunteers. | |
| Takashige N et al. | 1999 | Japanese | 125 | 26 | 248 | 2 | 47 | 5 | The controls were sex- and age-matched healthy volunteers. | |
| Somoskövi A et al | 1999 | Germany | 216 | 43 | 349 | 83 | 68 | 18 | The controls were sex- and age-matched healthy volunteers. | |
| Yamaguchi E et al. | 2001 | Japanese | 161 | 110 | 320 | 2 | 218 | 2 | Cases (age: 39.4; M/F: 36/74). Controls were age-matched healthy volunteers. | |
| Labunski S et al. | 2001 | Germany | 12 | 10 | 21 | 3 | 3 | 17 | Cases (sarcoidosis and erythema nododsum patients). Controls were age-matched healthy volunteers. | |
| Pandey JP et al. (C) | 2002 | Caucasian | 278 | 278 | 462 | 94 | 450 | 106 | The controls were sex- and age-matched healthy volunteers. | |
| Pandey JP et al. (AA) | 2002 | African Americans | 219 | 219 | 378 | 60 | 379 | 59 | The controls were sex- and age-matched healthy volunteers. | |
| Grutters JC et al. | 2002 | Caucasian | 576 | 196 | 927 | 225 | 316 | 76 | The controls were sex- and age-matched healthy volunteers. | |
| Mrazek F et al. | 2005 | Czechs | 232 | 114 | 381 | 83 | 173 | 55 | Controls (age: 33.8±8.2); Cases (age: 44.8 ± 11.2). | |
| Sharma S et al. | 2008 | Indian | 155 | 96 | 283 | 27 | 181 | 11 | Cases (age: 43.5±9). Controls were age-matched healthy volunteers. | |
| Makrythanasis P et al. | 2010 | Greek | 202 | 103 | 367 | 37 | 181 | 25 | Controls (age: 30.7±5.7). Cases (age: 53.3±13.5). | |
| Kieszko R et al. | 2010 | Polish | 84 | 128 | 139 | 29 | 199 | 57 | Cases (age: 39.5±11.7, M/F: 60/70). Controls were age-matched healthy volunteers. | |
| Petković TR et al | 2013 | Serbian | 50 | 70 | 75 | 25 | 114 | 26 | Controls (age: 47.9±14.2). Cases (age: 49.2±12.8). | |
| TNF-α T-1031 C | T | C | T | C | ||||||
| Grutters JC et al. | 2002 | Caucasian | 576 | 196 | 926 | 226 | 322 | 70 | The controls were sex- and age-matched healthy volunteers. | |
| Sharma S et al. | 2008 | Indian | 155 | 96 | 210 | 100 | 138 | 54 | Cases (age: 43.5±9). Controls were age-matched healthy volunteers. | |
| Makrythanasis P et al. | 2010 | Greek | 204 | 103 | 323 | 85 | 160 | 46 | Controls (age: 30.7±5.7). Cases (age: 53.3±13.5). | |
| TNF-α C-863 A | C | A | C | A | ||||||
| Grutters JC et al. | 2002 | Caucasian | 576 | 196 | 973 | 179 | 337 | 55 | The controls were sex- and age-matched healthy volunteers. | |
| Sharma S et al. | 2008 | Indian | 155 | 96 | 210 | 100 | 138 | 54 | Cases (age: 43.5±9). Controls were age-matched healthy volunteers. | |
| Makrythanasis P et al. | 2010 | Greek | 192 | 95 | 314 | 70 | 155 | 35 | Controls (age: 30.7±5.7). Cases (age: 53.3±13.5). | |
| TNF-α G-238 A | G | A | G | A | ||||||
| Yamaguchi E et al. | 2001 | Japanese | 161 | 110 | 315 | 7 | 212 | 8 | Cases (age: 39.4; M/F: 36/74). Controls were age-matched healthy volunteers. | |
| Pandey JP et al. | 2002 | Caucasian | 278 | 278 | 538 | 18 | 533 | 23 | The controls were sex- and age-matched healthy volunteers. | |
| Pandey JP et al. | 2002 | African Americans | 219 | 219 | 419 | 19 | 419 | 19 | The controls were sex- and age-matched healthy volunteers. | |
| Grutters JC et al. | 2002 | Caucasian | 576 | 196 | 1108 | 44 | 379 | 13 | The controls were sex- and age-matched healthy volunteers. | |
| Sharma S et al. | 2008 | Indian | 155 | 96 | 296 | 14 | 185 | 7 | Cases (age: 43.5±9); Controls were age-matched healthy volunteers. | |
| Makrythanasis P et al. | 2010 | Greek | 209 | 107 | 406 | 12 | 207 | 7 | Controls (age: 30.7±5.7). Cases (age: 53.3±13.5). | |
| TNF-β A252G | A | G | A | G | ||||||
| Mrazek F et al. | 2005 | Czechs | 425 | 114 | 617 | 233 | 136 | 92 | Controls (age: 33.8±8.2). Cases (age: 44.8±11.2). | |
| Sharma S et al. | 2008 | Indian | 155 | 96 | 244 | 66 | 138 | 54 | Cases (age: 43.5±9). Controls were age-matched healthy volunteers. | |
| Kieszko R et al. | 2010 | Polish | 84 | 130 | 129 | 39 | 175 | 85 | Cases (age: 39.5±11.7, M/F: 60/70). Controls were age-matched healthy Volunteers. | |
Table 1. The baseline characteristics of all study populations in the meta-analysis.
Of these studies, 12 articles examined the association of the TNF-α gene G-307A polymorphism with sarcoidosis [7-17,19]; five articles focused on the TNF-α gene G-238A polymorphism [10,12,14,15,17]; four articles focused on the TNF-α gene C-857T polymorphism [14,15,17,18]; three articles focused on the TNF-α gene T-1031C and C-863A polymorphisms [14,15,17]; three articles focused on the TNF-β gene A252G polymorphism [13,14, 16].
Overall analyses
Figures 2 depicts the pooled risk estimates of developing sarcoidosis for the mutant alleles of the TNF-α and TNF-β gene four polymorphisms. Under a random-effects model, analyses of the full data set failed to reveal any significance for -307A (OR=1.25; 95% CI: 0.98-1.59), -1031C (OR=0.88; 95% CI: 0.71-1.1), -863A (OR=0.89; 95% CI: 0.72-1.11), -238A (OR=0.97; 95% CI: 0.71-1.32), and -857T (OR=1.14; 95% CI: 0.74-1.77) alleles in association with sarcoidosis. In contrast, relative to the TNF-β 252A allele, the risk of having sarcoidosis was 1.65 times (95%CI = 1.33-2.04; P<0.00001) for the TNF-β 252G allele.
Subgroup analyses
In view of the number of involved articles, subgroup analyses were only undertaken for TNF-α gene G-307A polymorphism by the ethnicity. Under a random-effects allelic model, there was marginally significant increased risk of sarcoidosis for -307A allele among Caucasians (OR=1.25; 95% CI: 0.96-1.62; P=0.09) but not among Asians (OR=2.12; 95% CI: 0.31-14.27; P=0.44) (Figure 3).
Discussion
In this study, we sought to investigate the association of the TNF-α and TNF-β genetic polymorphisms with sarcoidosis risk from English journals by conducting a meta-analysis of 13 articles and 4100 subjects. The principal finding of this study was that the TNF-β gene A252G polymorphism might be a potential risk factor for the development of sarcoidosis. Moreover, subgroup analysis indicated a contributory role of the TNF-α gene G-307A polymorphism in Caucasians. To the authors’ knowledge, this is the first meta-analysis to date investigating the association of the TNF-α gene T-1031C, C-863A, C-857T polymorphisms and the TNF-β gene A252G polymorphism with sarcoidosis.
In 2007, Medica and coworkers have meta-analyzed the TNF-α gene G-307A polymorphism in association with sarcoidosis, and found that this polymorphism was linked to the occurrence of sarcoidosis [20]. Contrastingly by enlarging the sample sizes, we in this meta-analysis failed to replicate the significant finding by Medica and coworkers when pooling all qualified studies together, whereas this significance was somewhat evident after restricting analyses to Caucasian populations, suggesting the genetic heterogeneity of this polymorphisms across ethnic groups. Generally, genetic heterogeneity is an inevitable problem in any disease identification strategy, and populations of different genetic backgrounds may have different linkage disequilibrium patterns. It is reasonable to speculate that the TNF-α gene G-307A polymorphism might be in linkage with another causal variant in one ethnic population but not in another, which was partly exemplified by the wide divergences of the -307A allele frequencies across ethnic populations in this meta-analysis (data not shown). As such, it is necessary to construct a database of susceptible genes and polymorphisms implicated in sarcoidosis in each racial or ethnic group.
Extending previous findings, we provided convincing evidence on the contributory effect of the TNF-β gene A252G polymorphism in the development of sarcoidosis. Although only three articles were available for this association, considering the estimated risk estimate (OR=1.65), it seems unlikely that our results could be explained by confounding. In addition, there was a low probability of publication bias for this comparison as reflected by the fail-safe number. It is reasonable to speculate that, the TNF-β gene A252G polymorphism, if involved, might be implicated in the pathogenesis of sarcoidosis by increasing the production of TNF-β. Large epidemiological and clinical studies are required to fully answer this speculation.
Meta-analysis is recognized as a powerful tool to summarize results of individual studies; however, it is important to recognize certain limitations. First, all qualified studies were retrospective in design, which precludes further comments on causality. Second, albeit a low probability of publication bias in this meta-analysis, potential selection bias cannot be ruled out, because we only retrieved articles published in English language. Third, we selected only five polymorphisms from TNF-α and TNF-β genes, and did not cover other sarcoidosis-susceptibility genes, such as annexin A11 gene [21] and butyrophilin-like 2 gene [22]. Therefore, the jury must refrain from drawing a final conclusion until large, well-designed, prospective studies confirm or refute our findings.
Taken together, this meta-analysis extended previous findings on the association between the TNF-α and TNF-β genetic polymorphisms and sarcoidosis, by showing that the TNF-β gene A252G polymorphism might be a potential risk factor for the development of sarcoidosis. Nevertheless, despite the small sample sizes involved, this meta-analysis provides an anchoring point for better understanding of the pathogenesis of sarcoidosis. For practical reasons, we hope that this study will not remain just another endpoint of research instead of a beginning to establish the background data for further investigation on mechanisms of the TNF-α and TNF-β genes in sarcoidosis.
Author Contributions
Conceived and designed the experiments: YF WN. Performed the experiments: YF WN. Analyzed the data: YF CG. Contributed reagents/materials/analysis tools: JZ YD HW LN. Wrote the manuscript: YF WN.
References
- 1. Baughman RP, Lower EE, du Bois RM (2003) Sarcoidosis. Lancet 361: 1111-1118. doi:https://doi.org/10.1016/S0140-6736(03)12888-7. PubMed: 12672326.
- 2. Nunes H, Bouvry D, Soler P, Valeyre D (2007) Sarcoidosis. Orphanet J Rare Dis 2: 46. doi:https://doi.org/10.1186/1750-1172-2-46. PubMed: 18021432.
- 3. Lynch JP 3rd, Ma YL, Koss MN, White ES (2007) Pulmonary sarcoidosis. Semin Respir Crit Care Med 28: 53-74. doi:https://doi.org/10.1055/s-2007-970333. PubMed: 17330192.
- 4. Müller-Quernheim J, Schürmann M, Hofmann S, Gaede KI, Fischer A et al. (2008) Genetics of sarcoidosis. Clin Chest Med 29: 391-414, viii doi:https://doi.org/10.1016/j.ccm.2008.03.007. PubMed: 18539234.
- 5. Iannuzzi MC, Rybicki BA, Teirstein AS (2007) Sarcoidosis. N Engl J Med 357: 2153-2165. doi:https://doi.org/10.1056/NEJMra071714. PubMed: 18032765.
- 6. Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med 151: 264-269, W264 doi:https://doi.org/10.7326/0003-4819-151-4-200908180-00135. PubMed: 19622511.
- 7. Seitzer U, Swider C, Stüber F, Suchnicki K, Lange A et al. (1997) Tumour necrosis factor alpha promoter gene polymorphism in sarcoidosis. Cytokine 9: 787-790. doi:https://doi.org/10.1006/cyto.1997.0224. PubMed: 9344512.
- 8. Takashige N, Naruse TK, Matsumori A, Hara M, Nagai S et al. (1999) Genetic polymorphisms at the tumour necrosis factor loci (TNFA and TNFB) in cardiac sarcoidosis. Tissue Antigens 54: 191-193. doi:https://doi.org/10.1034/j.1399-0039.1999.540211.x. PubMed: 10488747.
- 9. Somoskövi A, Zissel G, Seitzer U, Gerdes J, Schlaak M et al. (1999) Polymorphisms at position -308 in the promoter region of the TNF-alpha and in the first intron of the TNF-beta genes and spontaneous and lipopolysaccharide-induced TNF-alpha release in sarcoidosis. Cytokine 11: 882-887. doi:https://doi.org/10.1006/cyto.1999.0498. PubMed: 10547277.
- 10. Yamaguchi E, Itoh A, Hizawa N, Kawakami Y (2001) The gene polymorphism of tumor necrosis factor-beta, but not that of tumor necrosis factor-alpha, is associated with the prognosis of sarcoidosis. Chest 119: 753-761. doi:https://doi.org/10.1378/chest.119.3.753. PubMed: 11243953.
- 11. Labunski S, Posern G, Ludwig S, Kundt G, Bröcker EB et al. (2001) Tumour necrosis factor-alpha promoter polymorphism in erythema nodosum. Acta Derm Venereol 81: 18-21. doi:https://doi.org/10.1080/00015550116912. PubMed: 11411907.
- 12. Pandey JP, Frederick M (2002) TNF-alpha, IL1-beta, and immunoglobulin (GM and KM) gene polymorphisms in sarcoidosis. Hum Immunol 63: 485-491. doi:https://doi.org/10.1016/S0198-8859(02)00399-3. PubMed: 12039524.
- 13. Mrazek F, Holla LI, Hutyrova B, Znojil V, Vasku A et al. (2005) Association of tumour necrosis factor-alpha, lymphotoxin-alpha and HLA-DRB1 gene polymorphisms with Lofgren's syndrome in Czech patients with sarcoidosis. Tissue Antigens 65: 163-171. doi:https://doi.org/10.1111/j.1399-0039.2005.00370.x. PubMed: 15713215.
- 14. Sharma S, Ghosh B, Sharma SK (2008) Association of TNF polymorphisms with sarcoidosis, its prognosis and tumour necrosis factor (TNF)-alpha levels in Asian Indians. Clin Exp Immunol 151: 251-259. PubMed: 18062795.
- 15. Makrythanasis P, Tzetis M, Rapti A, Papatheodorou A, Tsipi M et al. (2010) Cystic fibrosis conductance regulator, tumor necrosis factor, interferon alpha-10, interferon alpha-17, and interferon gamma genotyping as potential risk markers in pulmonary sarcoidosis pathogenesis in Greek patients. Genet Tests Mol Biomarkers 14: 577-584. doi:https://doi.org/10.1089/gtmb.2009.0198. PubMed: 20722470.
- 16. Kieszko R, Krawczyk P, Chocholska S, Dmoszyńska A, Milanowski J (2010) TNF-alpha and TNF-beta gene polymorphisms in Polish patients with sarcoidosis. Connection with the susceptibility and prognosis. Sarcoidosis Vasc Diffuse Lung Dis 27: 131-137. PubMed: 21319595.
- 17. Grutters JC, Sato H, Pantelidis P, Lagan AL, McGrath DS et al. (2002) Increased frequency of the uncommon tumor necrosis factor -857T allele in British and Dutch patients with sarcoidosis. Am J Respir Crit Care Med 165: 1119-1124. doi:https://doi.org/10.1164/ajrccm.165.8.200110-0320. PubMed: 11956055.
- 18. Seyhan EC, Cetinkaya E, Altin S, Gunluoglu Z, Demir A et al. (2008) Tumor necrosis factor gene polymorphisms in Turkish patients with sarcoidosis. Intern Med 47: 833-838. doi:https://doi.org/10.2169/internalmedicine.47.0703. PubMed: 18451575.
- 19. Petković TR, Pejcić T, Videnović-Ivanov J, Stoimenov TJ, Janković I et al. (2013) Tumor necrosis factor alpha gene polymorphism in serbian patients with sarcoidosis. Srp Arh Celok Lek 141: 169-172. doi:https://doi.org/10.2298/SARH1304169R. PubMed: 23745338.
- 20.
Medica I, Kastrin; A, Maver A, Peterlin B (2007) Role of genetic polymorphisms in ACE and TNF-alpha gene in sarcoidosis: a meta-analysis. J Hum Genet 52: 836-847.
- 21. Levin AM, Iannuzzi MC, Montgomery CG, Trudeau S, Datta I et al. (2013) Association of ANXA11 genetic variation with sarcoidosis in African Americans and European Americans. Genes Immun 14: 13-18. doi:https://doi.org/10.1038/gene.2012.48. PubMed: 23151485.
- 22. Milman N, Svendsen CB, Nielsen FC, van Overeem Hansen T (2011) The BTNL2 A allele variant is frequent in Danish patients with sarcoidosis. Clin Respir J 5: 105-111. doi:https://doi.org/10.1111/j.1752-699X.2010.00206.x. PubMed: 21410903.