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Genetics of Sarcoidosis

Written By

Nabeel Y. Hamzeh and Lisa A. Maier

Submitted: April 26th, 2012 Published: March 13th, 2013

DOI: 10.5772/55332

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1. Introduction

Sarcoidosis is a multi-system, T-helper 1 (Th1) cell biased granulomatous disorder. The current hypothesis is that sarcoidosis develops in a genetically predisposed individual who is exposed to a yet unknown environmental trigger(s) [1]. Antigen presentation in the context of major histocompatibility complex II (MHC-II) activates Th1 cells with subsequent production of various cytokines and chemokines including but not limited to IFN-γ, TNF-α, TGF-β, IL-2, IL-12 and others leading to further immune cell recruitment and activation [2]. The immune response ultimately leads to the formation of granulomas which consist of a central core of mononuclear cells surrounded by CD4+ cells and a small number of CD8+ and B-cells [2]. A role for regulatory T-cells has been proposed but their exact role in sarcoidosis is yet unknown [3].

The disparity in prevalence and variability of organ involvement between ethnic groups [1] and the familial clustering of sarcoidosis strongly support a genetic basis for sarcoidosis [4]. Several genome wide associations studies (GWAS) have identified potential association between specific genetic loci and sarcoidosis [5-11] and several studies have also associated various human leukocyte antigen (HLA) markers and gene-specific single nucleotide polymorphisms (SNP) with the risk, disease course and organ involvement with sarcoidosis indicating that sarcoidosis is a polygenic disease. Adding to this complexity, certain genetic markers have shown an association based on ethnicity and gender and some have shown differential associations based on gender and ethnicity [34]. Genetic polymorphisms that are functional can potentially influence the immune system’s recognition of an antigen and the subsequent immune response to the antigen thus dictating disease phenotype (Figure 1).

Figure 1.

Functional genetic polymorphisms dictate immune response and disease phenotype

Genetic studies have played an important role in revealing new pathways and mechanisms involved in the pathogenesis of immune mediated diseases such as rheumatoid arthritis, inflammatory bowel disease, psoriasis, systemic lupus erythematosus, type 1 diabetes and others [12]. Genome-wide association studies investigate the potential association of a disease with genetic markers across the entire genome without a mechanistic hypothesis [13]. Thousands of representative SNPs (tagging SNPs) that span the whole genome are assayed for potential association with a specific disease. In contrast, a candidate-gene approach is hypothesis driven and investigates the potential association of disease with polymorphisms in a specific gene(s) that encode molecule(s) (receptor, cytokine, signal transduction…) that are involved in the pathogenesis of a disease [13]. Familial-genetic studies investigate the association of genetic markers with a rare disease. Family members of an affected individual are studied for genetic markers that are present in affected members but absent in others [13].

Several environmental and infectious agents have been proposed to be associated with sarcoidosis but none proven yet. The ACCESS (A Case Controlled Etiological Study in Sarcoidosis) study group identified 5 occupations and 5 exposures that were more prevalent in sarcoidosis patients [14]. These exposures included agricultural employment, physicians, jobs raising birds, jobs in automotive manufacturing and middle/secondary school teachers, insecticides, employment in pesticide-using industries, occupational exposure to mold and mildew, occupational exposure to musty odors and use of home central air-conditioning [14]. In contrast, smoking appears to be protective against sarcoidosis [14, 15]. Infectious agents, particularly Mycobateria, are re-emerging as a potential antigen in sarcoidosis with studies detecting Mycobacteria proteins in tissues from sarcoidosis patients and T-cells from sarcoidosis patients responding to stimulation by Mycobacterial antigens [16-23]. Recent studies have also demonstrated an interaction between genetic markers and in vitro immune responses to Mycobacterial antigens further supporting the gene-environment interaction theory. [22]

In this review, we will attempt to summarize the current literature on the association of genetic markers with sarcoidosis from a functional perspective and highlight differences that might exist between different racial groups.

Genetic markers and risk of disease (Table 1):

Gene Polymorphism Population OR CI p Ref
Lofgren's Syndrome
HLA DRB1*03 White UK/Dutch 7.97 4.16-15.26 <0.0001 [26]
DRB1*0301 White Spanish 3.52 1.83-6.79 0.0004 [27]
DRB1*0301 White Swedish 7.71 4.63-12.84 <0.0001 [27]
DRB1*03 White Swedish 6.71 NR <0.0001 [28]
DRB1*03-DQB1*0201 White Dutch 12.5 5.69-27.52 <0.0001 [29]
DRB1*0301 Finnish 2.46 1.11-5.45 0.044 [33]
DRB1*1501 Finnish 2.16 1.06-4.41 0.037 [33]
MHC2TA rs3087456G White Swedish 1.31† 1.04-1.65† .019 [31]
rs11074932C White Swedish 1.27† 1.02-1.58† .026 [31]
BTNL2 rs3117099T White UK/Dutch 3.05 2.01-4.62 <0.0001 [26]
CCR2 Haplotype 2* White Dutch 4.4 1.9-9.7 <0.0001 [41]
Haplotype 2* Spanish 2.03 1.11-3.73 0.041 [27]
Haplotype 2* Swedish 3.02 1.65-5.52 0.0027 [27]
CCR5 rs2040388A German/Female 1.93 1.35-2.77 0.0003 [53]
rs2856757C German/Female 1.65 1.17-2.33 0.004 [53]
TNF# TNF-α 308AA rs1800629 US White 8.182 2.45-27.34 0.027 [73]
TNF-α 308A rs1800629 Polish 2.3 1.23-4.32 <0.01 [77]
TNF-α 308A UK/Dutch 3.1† 1.33-7.20† 0.006 [78]
TNF-α 308A German NR NR 0.0078 [79]
LTA-252G rs909253 Polish 2.98 1.67-5.29 <0.001 [77]
LTA-252GG rs909253 US White females 11.33 3.18-40.37 0.027 [73]
ANXA11 rs1049550TT Czech 0.31 0.11-0.84 0.02 [95]
Increased risk of non-Lofgren’s
HLA DQB1*0602-DRB1*15 White Dutch 2.27 1.46-3.54† 0.0032 [32]
DRB1*12 White UK/Dutch 2.5 1.26-4.96 0.003 [26]
DRB1*12 UK 3.7 1.73-7.94 0.001 [29]
DRB1*12 Japanese 2.5 1.17-5.21 0.03 [29]
DRB1*1201 US White/AA 2.13 1.14-4.12 0.015 [34]
DRB1*10 White UK/Dutch 2.4 1.00-5.88 0.01 [26]
DRB1*14 White UK/Dutch 3.1 1.7-5.57 0.0003 [26]
DRB1*14 White Swedish 1.79 NR 0.017 [28]
DRB1*1401 US White/AA 2.29 1.21-4.34 0.011 [34]
DRB1*14 UK 2.54 1.47-4.41 0.001 [29]
DQB1*0503/4 Dutch 2.4 1.11-5.18 0.04 [29]
DRB1*15 Finnish 1.67 1.12-2.5 0.011 [33]
DRB1*1501 US White/AA 1.7 1.18-2.46 0.003 [34]
DRB1*1101 US White/AA 1.98 1.37-2.9 <0.001 [34]
DRB3*0101 US White/AA 1.6 1.16-2.2 0.004 [34]
DRB1*1201 US AA 2.67 1.2-6.52 0.014 [34]
DPB1*0101 US AA 1.72 1.14-2.62 0.008 [34]
DRB1*0402 US white 2.57 1.02-7.28 0.043 [34]
DRB1*1501 US White 2.08 1.39-3.15 <0.001 [34]
DRB1*13 Czech 2.4 1.43-4.03 <0.02 [74]
BTNL-2 rs2076530A German 2.31 1.27-4.23 <0.006 [37]
rs2076530A White UK/Dutch 1.49 1.20-1.86 0.002 [26]
rs2076530A White Dutch 1.85 1.19-2.88 0.007 [38]
rs2076530A White US 2.03 1.32-3.12 NR [39]
rs2294878C White UK/Dutch 1.54 1.24-1.92 0.001 [26]
TNF LTA-252G rs909253 Czech 2.63 1.63-4.25 <0.00001 [74]
TNF-α 308A rs1800629 Polish 2.167 1.17-4.01 <0.05 [77]
TNF-α -857T UK/Dutch NR NR 0.002 [78]
TLR-10 rs1109695C Dutch NR NR 0.002 [68]
rs7658893A Dutch NR NR 0.001 [68]
TLR-1 rs5743604G Dutch NR NR 0.003 [68]
rs5743594G Dutch NR NR 0.049 [68]
Allele 2£ US AA 0.48 0.28-0.81 0.014 [69]
Allele 3¥ Polish 1.68 1.01-2.81 0.04 [71]
Allele 3¥ Turkish 2.69 1.61-4.47 <0.001 [70]
Allele 3¥ Greek 1.52 1.08-4.52 0.015 [72]
INT4 Turkish 2.75 1.68-4.52 <0.001 [70]
ANXA11 rs1049550C German 1.54 1.23-1.92 0.00014 [94]
rs1049550T Czech 0.77 NR 0.04 [95]
rs2573346C German 1.55 1.24-1.92 0.00008 [94]
Decreased risk
HLA DRB1*01 White Swedish 0.61 NR 0.003 [28]
DRB1*01 White UK/Dutch 0.5 0.35-0.82 0.001 [26]
DRB1*01 UK 0.5 0.34-0.76 0.001 [29]
DRB1*01 Dutch 0.4 0.23-0.76 0.006 [29]
DRB1*01 Japanese 0.12 0.03-0.52 0.001 [29]
DRB1*01 Finnish 0.43 0.26-0.72 0.001 [109]
DRB1*04 White UK/Dutch 0.6 0.46-0.92 0.02 [26]
DRB1*0401 US White/AA 0.48 0.28-0.8 0.003 [34]
DRB1*04 UK 0.54 0.35-0.84 0.008 [29]
DQB1*0301 UK 0.69 0.51-0.94 0.02 [29]
DQB1*0603 US Males 0.5 NR NR [34]
DRB1*1503 US AA 0.56 0.3-0.99 0.44 [34]
DRB1*0401 Us white 0.44 0.25-0.77 0.003 [34]
DRB1*07 Czech 0.40† 0.21-0.76† 0.0031 [74]
CCR2-64I Japanese 0.37 0.21-0.67 0.0007 [43]

Table 1.

Association of genetic markers with risk of developing sarcoidosis.

US: United States of America

UK: United Kingdom

AA: African American.

HLA: Human Leukocyte Antigen.

TLR: Toll-like receptor

NR: Not reported.

£Allele 2: T(GT)5AC(GT)5AC(GT)10

¥Allele 3: T(GT)5AC(GT)5AC(GT)9

*haplotype 2: (A at -6752,A at 3000, T at 3547 and T at 4385)

#TNF association with erythema nodosum

† Values calculated by authors from raw data provided in original manuscript.

Numerous studies have been published investigating the association of genetic markers with the risk of developing sarcoidosis or the risk of disease severity, disease course or specific organ involvement [5-11]. Genetic polymorphisms, that are functional, can influence the immune system’s response or function leading to active, progressive disease or self-resolving, limited disease. Although it is yet unknown if, and how, many of the genetic polymorphisms detected can influence the immune response, they do provide new insight on pathways that are potentially involved in the pathogenesis of sarcoidosis and provide new potential therapeutic targets.


2. Receptors

2.1. HLA region

The HLA system plays an important role in the immune response and has been associated with various autoimmune diseases [24]. The HLA genes are encoded on chromosome 6 and consist of over 200 genes [25]. HLA class I molecules, HLA-A, B and C, are expressed by most somatic cells and are important in the immune response [25]. They are composed of an α polypeptide chain, which is coded by the class I genes, and a β chain which is coded by the β2-microglobulin gene on chromosome 15 [25]. The HLA class II genes code for the α and β polypeptides of the class II molecule [25]. The HLA class II molecules are designated by 3 letters, the first (D) represents the class, the second (M,O,P,Q or R) represent the family and the third (A or B) represent the α or β chains [25]. The numbers that precedes the asterisk indicates the gene and the numbers following the asterisk represent the allelic variant of that gene [25]. HLA class II molecules are primarily expressed on immune cells. The HLA class II molecules play an important role in the immune response presenting antigens to the effector cells and induce activation of the immune cells [25].

Sarcoidosis can present insidiously (non-Lofgren’s syndrome) or present acutely with systemic symptoms, acute arthritis, erythema nodosum and bilateral hilar lymphadenopathy, more commonly known as Lofgren’s syndrome (LS) [1]. Several HLA alleles have been associated with LS. HLA-DRB1 is the most common and has been reported in a white Dutch and UK cohorts [26], Spanish and Swedish cohorts (HLA-DRB1*0301) [27], a Scandinavian cohort (HLA-DRB1*03) [28] and a Dutch cohort (HLA-DRB1*03-DQB1*0201) [29]. In addition, HLA-DQB1*0201 has been reported In White UK and Dutch cohorts [30]. HLA-DRB1*03 and HLA-DQB1*02 are in strong LD [30]. In addition, 2 SNPs (rs3087456 and rs11074932) in the major histocompatibility complex class II transactivator (MHC2TA) gene, which acts as a master regulator for the expression of MHC class II molecules, were found to be associated with LS independent of HLA-DRB1*03 [31].

Several HLA alleles have also been associated with increased risk of developing non-LS sarcoidosis. HLA-DQB1*0602 has been associated with increased risk of non-LS sarcoidosis in a Dutch cohort [32]. HLA-DRB1*14, *12 and *10 have been associated with increased risk of sarcoidosis in a white Dutch and British cohort [26], and HLA-DRB1*12 and DRB1*14 in cohorts from the UK, Netherlands and Japan [29] whereas HLA-DRB1*1501 was associated with risk of sarcoidosis in a Finnish cohort [33]. HLA-DRB1*1201, *1401, *1501, *1101 and HLA-DRB3*0101 were associated with sarcoidosis in the ACCESS cohort in the USA [34].

In contrast, HLA alleles that have been associated with decreased risk (protective) for sarcoidosis included HLA-DRB1*01 and *04 in white Dutch and UK cohorts [26] and HLA-DRB1*01 in cohorts from the UK, Netherlands and Japan [29] and HLA-DRB1*0101 was protective in a Finnish cohort [33]. In the ACCESS cohort, HLA-DRB1*0401 was protective for the overall cohort (African Americans and Caucasians) [34].

Some HLA markers are gender or ethnic specific in their association with sarcoidosis. In the ACCESS cohort, HLA-DRB1*1101 was associated with increased risk more in males than females whereas HLA-DRB1*0401 was associated with decreased risk more in males than females, [34] HLA-DQB1*0603 was a risk factor for females but a protective factor for males. [34] For blacks in the ACCESS cohort, HLA-DRB1*1201 and HLA-DPB1*1503 were associated with increased risk of sarcoidosis and HLA-DRB1*1503 was associated with decreased risk of sarcoidosis [34] whereas in whites, HLA-DRB1*0402 and DRB1*1501 were associated with increased risk whereas HLA-DRB1*0401 was protective against sarcoidosis [34].

Overall, HLA-DRB1 molecules appear to play an important role in the pathogenesis of sarcoidosis either by recognizing specific antigen(s) or mounting different immune responses to different antigen(s). A better understanding of the role of HLA molecules in the pathogenesis of sarcoidosis could move us a step closer to potentially identifying the antigen(s) that trigger sarcoidosis [35].

2.2. BTNL2

The butyrophilin like 2 gene (BTNL2) belongs to the immunoglobulin gene superfamily and is related to the CD80 and CD86 co-stimulatory receptors. [7] In a mouse model, it was shown that BTNL2 binds to activated T-cells and inhibits their proliferation. [36] BTNL-2 was first linked to sarcoidosis when a GWAS in 63 German families with sarcoidosis identified a linkage to chromosome 6p21. [5] Further investigation found an association between SNP rs2076530A in the BTNL2 gene and sarcoidosis. [7] rs2076530A produces an alternative splice site that results in an early stop codon and a truncated, non-functional protein as a final product. [7] These findings were replicated in another German sarcoidosis cohort [37]. In a white British and Dutch cohorts, the SNPs rs2076530A and rs2294878C both showed an association with increased risk of sarcoidosis whereas haplotype 4 (which included rs2076530G and rs2294878A) had a protective association [26]. The SNP rs2076530A was associated with non-Lofgren’s sarcoidosis and a gene dose effect was detected (AG vs GG OR 1.98, AA vs GG OR 2.63) [26]. There was strong linkage disequilibrium (LD) between BTNL2 haplotype 2 and HLA-DRB1*03 and between BTNL2 haplotype 4 and HLA-DRB1*01. [26] When the association of rs2076530A with the risk of sarcoidosis was analyzed in the context of HLA-DRB1, the rs2076530A association no longer held whereas the association of HLA-DRB1*12 and *14 with the risk of sarcoidosis persisted. [26] In a Dutch cohort, BTNL2 rs2076530A was associated with increased risk of sarcoidosis and a strong LD was found with HLA-DRB1*15. [38] rs2076530A was also associated with an increased risk of sarcoidosis in an American Caucasian cohort whereas in an African American cohort, the BTNL2 gene risk and the HLA-DRB1 gene risk negated each other. [39] In the same cohort, BTNL2 rs3117099T was associated with Lofgren’s syndrome, similar but stronger association was also detected for haplotype 2 which contains rs3117099T. [26] The association of both haplotype 2 and HLA-DRB1*03 with Lofgren’s syndrome remained significant after adjusting for each other and was stronger when both were present and protective against sarcoidosis when both were absent [26].

2.3. CCR2

CCR2 is a receptor for the chemokines CCL5, CCL2 and CCL3 that play an important role in recruiting monocytes, T-cells and other inflammatory cells. [40, 41] The association of 8 SNPs in the CCR2 gene with sarcoidosis was investigated in a white Dutch sarcoidosis population, a haplotype that consisted of 4 unique alleles (A at -6752,A at 3000, T at 3547 and T at 4385) was associated with LS, this association remained significant after adjustment for HLA-DRB1*0301-DQB1*0201 and female gender (both of which have been associated with LS). [41] No difference was seen between non-LS and controls. [41] This association and independence from HLA-DRB1 was confirmed in Swedish and Spanish sarcoidosis cohorts. [27] Similar findings were found in a Czech cohort although the difference did not reach statistical significance. [40] No association was detected between 3 SNPs in CCR2 and sarcoidosis in a German cohort. [42] CCR2-64I mutation (A substitution mutation where isoleucine replaces valine in the transmembrane region) was found it to be protective against sarcoidosis in a Japanese cohort. [43]

2.4. CCR5

The CCR5 gene is located on the short arm of chromosome 3 [44] and codes for a receptor for several chemokines including CCL3, CCL4, CCL5 and CCL8. [45] These chemokines play an important role in lymphocyte and monocyte recruitment and activation in sarcoidosis. [46, 47] In Sarcoidosis, CCR5 expression is up-regulated in Bronchoalveolar lavage (BAL) macrophages and lymphocytes [48, 49] and levels of the CCR5 ligands, CCL3 and CCL5, correlate with risk of disease progression. [50-52] The CCR5Δ32 null allele results a 32bp deletion in the CCR5 gene and produces a non-functional receptor that is unable to bind to its ligand [53]. The A allele at position -5663 (rs2040388) and the C allele at position -3900 (rs2856757), both of which are part of the HHC haplotype, were associated with LS in a German cohort, particularly in females [53]. No association between 8 SNPs in the CCR5 gene and risk of sarcoidosis was detected in a white Dutch and UK cohorts but an association was noted with severity of lung disease. [54]

2.5. CARD15

CARD15/NOD2 is an intracellular molecule that is part of the innate immunity which recognizes muramyl dipeptide, a component of gram-positive and gram-negative bacteria cell wall [55]. It was first identified in association with the risk of Crohn’s disease. [55] No significant association was detected between CARD15 polymorphisms and risk of sarcoidosis in German [56, 57], Japanese [58], Danish [59, 60] cohorts. In contrast, an association was noted with risk of disease in a Greek cohort [61].

2.6. Toll-Like receptors

Toll-like receptors (TLR) are transmembrane proteins that are critical in the innate immune system. [62] They are also known as pattern recognition receptors as they recognize specific microbial structures. [62] So far, 11 TLRs have been recognized. [62] Several studies in German and Dutch cohorts have investigated the potential association of polymorphisms in the TLR4, TLR2 and TLR9 genes with sarcoidosis but found no association with the risk of sarcoidosis. [63-67] One study in a German cohort suggested an association with chronic sarcoidosis. [63] In a Dutch cohort, SNPs rs1109695 and rs7658893 in the TLR-10 gene and rs57436004 and rs5743594 in the TLR-1 gene were associated with the risk of sarcoidosis. [68] None of the 4 SNPs were significantly different between remitting and chronic disease but they did differ significantly between healthy controls and sarcoidosis patients with chronic/progressive disease. [68]

2.7. SLC11A1 (NRAMP1, Natural Resistance-Associated Macrophage Protein Gene)

The SLC11A1 gene encodes a macrophage-specific, membrane protein whose function involves transport and appears to be important in the early stages of macrophage activation. [69] In US African Americans, a repeat polymorphism in 5’ region (allele 2) of the gene was protective against sarcoidosis. [69] This finding was replicated in Polish, Turkish and Greek cohorts where the opposite polymorphism (allele 3) was associated with increased risk of sarcoidosis. [70-72] In the Turkish cohort, polymorphism in INT4 was also associated with increased risk of sarcoidosis but this association was not noted in the other cohorts. [70]


3. Cytokines/Chemokines

3.1. TNF-α and lymphotoxin-A (LTA, TNF-β)

TNF-α and LTA genes are located within the MHC class III region on chromosome 6p21.3 [73-75]. TNF-α plays a pivotal role in sarcoidosis [76]. It is produced by alveolar macrophages and high levels of spontaneous and stimulated release of TNF-α by macrophages from sarcoidosis patients correlates with disease severity. [76] Several Loci in the TNF-α gene have been studied including -307 (previously mislabeled as -308), -857, -863.

LTA-252G (rs909253) allele was associated with sarcoidosis in Czech and Polish cohorts [77] and TNF-α-308A (rs1800629) allele was associated with sarcoidosis in Polish and Czech sarcoidosis cohorts [77]. There was a strong LD between the TNF-α 308A, LTA252G alleles and HLA-DRB1*03 which has been associated with LS [74]. An association between TNF-α 308A (rs1800629) allele and LS and between TNF-α -857T allele and non-LS sarcoidosis was also found in a British and Dutch cohort [78] and German cohorts [79-81]. An association was found between the TNF-α -308 (rs1800629) and LTA252G(rs909253) SNPs and erythema nodosum in US white women [73] but no association between polymorphisms in the TNF-α gene and sarcoidosis in African Americans was detected. [82] There was also an increased frequency of the -857T allele in British and Dutch sarcoidosis patients compared to controls. [78]

The relationship between serum TNF-α levels and genotypes is unclear, one study found an increased serum TNF-α levels with the TNF-α-307(8)G and the TNF-α -238A alleles in a sarcoidosis population but not normal controls, [83] whereas another study did not detect any association in the spontaneous or stimulated release of TNF-α from BAL and PBMC cells with the TNF-α 308 and TNF-β (intron 1) genotypes. [84]

The TNF-α-863 position lies further upstream in the promoter region. It influences the binding of NF-kB p50-p50 to the promoter region and inhibiting TNF-α production. The A allele variant inhibits the binding of NF-kB p50-p50 and thus leading to a higher production of TNF-α. [85] There was a marginal association of the allele TNF-1031A with the risk of sarcoidosis and an association of TNF-1031A and TNF-α-863A with chronic disease in an Indian cohort. [83]

3.2. TGF-β

TGF-β is a growth factor with 3 isoforms: TGF-β1, TGF-β2 and TGF-β3. They have nearly identical biological properties but the functional properties are usually attributed to TGF-β1. [86] TGF-β induces the synthesis of extracellular matrix and decreases matrix degradation, has immunomodulatory properties acting as a mediator regulating chemotaxis and fibroblasts and has been implicated in pulmonary fibrosis. [86, 87] The variant allele C of -509T/C and C of codon 10 are associated with higher TGF-β1 protein levels in the serum and the codon 10 variant is associated with increased mRNA levels in PBMC. [88, 89] TGF-β1 levels in the BAL and alveolar macrophage supernatant are higher in patients with active sarcoidosis and especially in those with pulmonary function changes, [90] there was also a positive correlation with BAL lymphocytosis. [90]

No association was found between sarcoidosis and 2 polymorphisms (codon 10, T869C) in the TGF-β1 gene in a Japanese sarcoidosis cohort and no relationship with Scadding chest x-ray stage was found either. [91] Codon 10 was also not associated with sarcoidosis in a German cohort [92]. No association between polymorphisms in the TGF-β1, TGF-β2 and TGF-β3 genes and sarcoidosis was detected in a white Dutch cohort. [93]


4. Signaling molecules

4.1. Annexin A11

The ANXA11 gene plays a role in the apoptosis pathway and depletion or dysfunction of the Annexin A11 protein may impair cell apoptosis and the down-regulation of the immune response [8]. A GWAS analysis in a German sarcoidosis cohort found a strong association between several SNPs in the annexin A11 (ANXA11) gene on chromosome 10 (10q22.3) and the risk of sarcoidosis. [8] This association was confirmed in a separate German cohort were the C allele of both rs1049550 and rs2573346 were associated with the development of sarcoidosis. [94] The association of rs1049550 with risk of sarcoidosis was also confirmed in a Czech cohort [95].


5. Others

5.1. Angiotensin Converting Enzyme (ACE)

Serum ACE is one of the biochemical markers that reflect disease activity in sarcoidosis. [1] Serum ACE levels do correlate with ACE genotype, with genotype D/D having the highest levels and I/I the lowest. [96-100] Several studies have investigated the association of ACE genotypes with sarcoidosis. In an African American cohort, the DD genotype was associated with increased risk of sarcoidosis, but not extent or severity, and the association was stronger when a family history of sarcoidosis was taken into account. [101] This association was not noted in a later study in African Americans. [82] In a Japanese cohort, the DD genotype was associated with increased risk of sarcoidosis in their female patients. [96] No association was detected in a US Caucasian cohort [101]. Otherwise, no association between polymorphisms in the ACE gene and risk of sarcoidosis was detected in German, Dutch, Italian, British, Finnish and Czech sarcoidosis cohorts. [97-100, 102, 103]

The angiotensin II receptor 1 genotype AA and CC potentially increase the risk of sarcoidosis in males in a German cohort but these findings were not replicated in a Dutch cohort. [97, 98] No association existed between the angiotension II receptor 1 and 2 genotypes and sarcoidosis in a Japanese cohort. [104]

5.2. IL-10 and CD40

No association between polymorphisms in the IL-10 or the CD40 gene and risk of sarcoidosis in Japanese cohorts was detected. [105, 106]

Genetic markers and disease course / organ involvement (Table 2):

Gene Polymorphism Population OR CI p Ref
Progressive Pulmonary disease
HLA DQB1*0602 AA NR NR 0.032 [107]
DRB1*07 Scandinavian 0.44 NR 0.009 [28]
DRB1*14 Scandinavian 2.14 NR 0.005 [28]
DRB1*15 Scandinavian 1.55 NR 0.011 [28]
DRB1*01 Scandinavian 0.41 NR <0.001 [28]
DRB1*03 Scandinavian 5.42 NR <0.001 [28]
DRB1*03 Finnish 2.22 1.20-4.1 0.011 [33]
BTNL 2 rs2076530 Dutch 1.84 1.06-3.21 0.03 [38]
CCR5 HHC haplotype British 6.8* 2.5-18.0 0.0045 [54]
HHC haplotype Dutch 9* 3.5-23.1 0.0009 [54]
CARD15/NOD2 rs2066844T British 4.1 1.0-15.5 0.04 [110]
IL23 Rs11209026A German 0.63 0.5-0.79 <0.001 [117]
TNF-α 308A Dutch 0.43 0.31-0.61 <0.001 [75]
TNF-α 308T Italian 3.53 1.66-7.5 <0.001 [77]
TGF- β
TGF-β1 rs1800469 US white 2.5 1.3-4.5 0.005 [118]
TGF- β3 rs3917165A US White 7.9 2.1-30.9 P=0.01 [118]
TGF- β3 rs3917200C US White 5.1 1.6-17.7 P=0.05 [118]
GREM1 rs1919364CC Dutch 6.37 2.89-14.1 <0.001 [120]
ANXA11 rs1049550T Czech 0.61 0.41-0.89 0.01 [95]
HLA DRB1*0401 AA/White 3.49 1.62-7.54 <0.0008 [34]
DRB1*0401-DQB10301 UK 3.4 1.64-7.08 0.001 [29]
DRB1*03-DQB1*0201 UK 0.21 0.08-0.54 <0.0001 [29]
Hypercalcemia PBB1-0101 US white 4.28 1.45-12.6 0.005 [34]

Table 2.

Association of genetic markers with sarcoidosis disease course, severity and/or organ invovlement.

* OR at 4 years

HLA : Human Leukocyte Antigen


6. Receptors

6.1. HLA region

HLA genetic markers were also investigated for their association with sarcoidosis disease course, severity and/or organ involvement. HLA-DQB1*0602 was associated with radiographic progression in an African American cohort [107], advanced pulmonary disease and uveitis in Dutch cohorts [30, 108] whereas in a Scandinavian cohort, HLA-DRB1*07,*14 and *15 were associated with progressive pulmonary disease whereas *01 and *03 were associated with non-progressive disease [28]. In a Finnish cohort, HLA-DRB1*03 was associated with resolving disease [109].

6.2. BTNL-2

In a Dutch cohort, BTNL2 16071A variant was associated with increased risk of progressive or persistent pulmonary sarcoidosis [38].

6.3. CCR5

CCR5Δ32 null allele was associated with the need for immunosuppressive therapy in a Czech cohort [40]. The haplotype HHC (-5663A, -3900C, -3458T, -2459G, -2135T, -2086G, -1835C, Δ32 wt) was strongly associated with the presence of parenchymal disease in British and Dutch cohorts at presentation, 2 and 4 years of follow up [54]. The haplotype HHC was also associated with lower forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), bronchoalveolar lavage neutrophilia (>4%) but not other organ involvement with Sarcoidosis [54].

6.4. CARD15/NOD2

In a British cohort, there was an association between allele T at loci 2104 (rs2066844) and the risk of radiographic Scadding stage IV at year 4 of follow up and an association between the allele G at loci 1761 with better lung function, defined by DLCO, at presentation, 2 and 4 years of follow up. [110] Interestingly, in a study in Crohn’s disease patients, variants in loci 2104, 2722 and 3020 were associated with decreased number of T-regulatory cells in the lamina propria. [111] T-regulatory cells have been implicated to have a role in the immune pathogenesis of sarcoidosis but their exact role is yet unknown. [3, 112, 113]


7. Cytokines/Chemokines

7.1. TNF-α 308, LTA252 (TNF-β)

A higher representation of the TNF-α308A allele was found in a Dutch cohort with non-persistent disease compared to persistent disease. [75] In a Polish cohort, TNF-α308 A/A was associated with disease remission. [77]

7.2. TGFβ

In a white Dutch cohort, there was an increased frequency of the A allele in rs3917165 in the TGF-β3 gene in the fibrotic group compared to the acute/chronic groups [93], in addition, the C allele in rs3917200 was more frequent in the fibrotic group compared to the acute/chronic groups. [93] In another study, white American sarcoidosis patients who had CC homozygosity at position -509 (rs1800469) were more likely to have parenchymal disease [118].

7.3. IL-23

IL-23 is a pro-inflammatory cytokine that stimulate Th-17 cells to produce IL-17 and other cytokines and has a role in a number of autoimmune diseases [114, 115]. Polymorphisms in rs11209026 can affect serum IL-17A levels in rheumatoid arthritis patients [116]. In a German cohort, rs11209026A was protective against chronic sarcoidosis [117].


8. Signaling

8.1. GREM1

Gremlin, encoded by GREM1, is a secreted glycoprotein and antagonizes bone morphogenetic protein (BMP) by forming heterodimers with BMP-2, BMP-4 and BMP-7 preventing BMP from interacting with its ligand and subsequent downstream signaling. [119] Dutch sarcoidosis patients with the CC genotype for rs1919364 in GREM1 had a 6 fold increased risk of developing fibrotic lung disease. [120]

8.2. Annexin A11

In a Czech cohort, rs1049550 T-allele was protective against parenchymal disease (Scadding stages II-IV) [95].


9. Other

9.1. COX2

In a Spanish cohort, there was an association between the CC genotype of the COX2.8473 polymorphism and increased risk of sarcoidosis [121] and an association of the C-allele of the COX2.3050 with systemic sarcoidosis versus non-systemic sarcoidosis [122].

9.2. IL-10 and CD40

There were no associations between polymorphisms in the IL-10 and CD40 gene in Japanese cohorts and the risk of sarcoidosis. [105, 106]


10. Organ involvement

A few genetic markers have also been associated with organ involvement in sarcoidosis. In the ACCESS study, HLA-DRB3 was associated with bone marrow involvement in blacks, HLA-DPB1*0101 with hypercalcemia in whites, HLA-DRB1*0401 with parotid and salivary gland involvement in blacks and HLA-DRB1*0401 was found to have possible association with eye involvement [34]. In a cohort from the UK, HLA-DRB1*0401-DQB1*0301 was associated with increased risk of uveitis whereas HLA-DRB1*03 and DQB1*0201 were protective for uveitis. [29] In a Japanese cohort, HLA-DRB1*15 and DQB1*0602 were associated with skin disease and HLA-DRB1*0803 with neurosarcoidosis. [29] In a Japanese cohort, polymorphisms in the CTLA-4 gene were associated with BAL lymphocytosis, ocular involvement and multi-organ involvement. [123, 124]

11. Conclusions

Sarcoidosis is a complex disease with variable presentations, course and organ involvement, as such, it is no surprise that research into the genetic basis of the disease yields complex and variable results. This is supported by the variability in presentation, course and organ involvement between various ethnic groups. To add to this complexity, linkage disequilibrium (LD) occurs when alleles at two loci are not independent of each other. As such, when one genetic marker is identified as associated with a disease or trait, then any allele in strong LD with that marker could be the actual link to the disease. For example, BTNL-2 has been associated with increased risk of sarcoidosis [5, 7, 8, 26, 37] but has also been shown to be in strong LD with HLA markers [26].

HLA molecules play an important role in antigen presentation and immune stimulation [24, 25]. The association of HLA markers with increased risk of sarcoidosis or specific organ involvement could potentially lead to identification of a causative agent(s), as seen in chronic beryllium disease [125], and a recent study has shown an interaction between genetics and immune response to certain environmental antigens [22]. Chronic beryllium disease, a granulomatous disorder that is caused by exposure to beryllium and resembles sarcoidosis, has been associated with HLA-DP-βGLu69 as a genetic risk factor [126]. Studies have shown that HLA-DP-βGlu69 interacts with beryllium with subsequent stimulation of the immune response [125]. In addition, the identification of genetic markers that are associated with sarcoidosis might uncover novel pathways not previously identified or suspected as contributors to disease pathogenesis, which could subsequently lead to identification of new therapeutic targets.

Further research is still needed to clarify the associations of the various genetic markers with risk and prognosis of disease and large validation studies will be needed to confirm these associations. Proper phenotyping of cases and stratification according to ethnicity and gender when analyzing genetic studies is extremely important. Several studies have shown opposite associations between gender and/or ethnicity and genetic markers when the analysis was stratified by gender and/or ethnicity [53]. In addition, the interaction between two or more distinct SNPs or haplotypes in sarcoidosis has yet to be studied [127].

So what role does genetic testing have in the clinical care of sarcoidosis patients? At this stage, genetic testing has no identifiable role in the clinical arena. The odds of a first or second degree relative of a sarcoidosis patient also having sarcoidosis are 4.6 and the familial relative risk was larger in sibs than in parents and higher in Whites than African Americans [4]. This said, the absolute risk and attributable risk for a sib or parent of a sarcoidosis patients is approximately 1% and as such, screening family members, clinically or genetically, is not recommended [4].

Potential future applications of genetic testing in the clinical arena include prognostication on disease course which will aid in determining intensity of follow up, prognostication on potential organ involvement which will influence frequency and intensity of screening for sarcoidosis involvement, and potentially a role for pharmacogenetics in guiding immunomodulatory therapy.


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Written By

Nabeel Y. Hamzeh and Lisa A. Maier

Submitted: April 26th, 2012 Published: March 13th, 2013