Literature DB >> 25606445

BTNL2 gene SNPs as a contributing factor to sarcoidosis pathogenesis in a cohort of Greek patients.

Aikaterini Delaveri1, Aggeliki Rapti2, Myrto Poulou1, Eirini Fylaktou1, Maria Tsipi1, Charis Roussos2, Periklis Makrythanasis3, Emmanuel Kanavakis4, Maria Tzetis1.   

Abstract

Sarcoidosis is a multisystemic granulomatous disease of unknown etiology that primarily affects adults between the ages of 20 and 40 years old. It is characterized by the activation of Th1 lymphocytes resulting in the production of inflammatory cytokines and the formation of noncaseating epithelioid cell granulomas in affected tissues. The lungs and lymphatic system are the ones most frequently affected. The disease usually presents spontaneous remission in the first two years and, in a few patients, the disease progresses to pulmonary fibrosis or other fatal complications depending on the affected organ. The pathogenesis of sarcoidosis is still not clearly defined, and is considered an interaction between the environment and risk alleles in many genes. The present case control study consisted of 146 Greek patients with sarcoidosis and 90 healthy volunteers from the same ethnic group. The coding and neighboring intronic regions of the BTNL2 gene were sequenced and risk alleles were compared amongst the two groups. Thirty-seven different variants were detected from which 12 were synonymous substitutions and 25 non-synonymous. With the help of in silico tools (SIFT, PolyPhen, PROVEAN, PMut and EX_SKIP), 13 variants were classified as possible pathological risk variants including 4 novel ones. The most common risk variants contributing to phenotypic modulation of sarcoidosis were p.S360G and p.S334L, with the latter contributing to a more severe disease stage with extra-pulmonary manifestations such as skin granulomas and relapses being more common.

Entities:  

Keywords:  BTNL2; Mutations; SNPs; Sarcoidosis

Year:  2014        PMID: 25606445      PMCID: PMC4287805          DOI: 10.1016/j.mgene.2014.07.009

Source DB:  PubMed          Journal:  Meta Gene        ISSN: 2214-5400


Introduction

Sarcoidosis is a multisystemic immune disorder of unknown aetiology that was first described as a separate medical condition in 1877. The disease is characterized by the formation of non-caseating epithelioid cell granulomas in involved organs. It has a worldwide incidence and it commonly affects young and middle-aged individuals between the ages of 20 and 40 years while later onset of the disease is not unusual. The incidence is estimated at around 16.5/100.000 in men and 19/100.000 in women; being higher in women and in people of African origin (Costabel and Hunninghake, 1999, Hunninghake et al., 1999, Iannuzzi et al., 2007, Nunes et al., 2007). The lung and the lymphatic system are predominately affected but virtually every organ may be involved (Iannuzzi, 2007, Nunes et al., 2007). Lung involvement alone is present in 86%–92% of cases or in association with extra-pulmonary localizations in about 50% of cases (Nunes et al., 2005). One-third or more of patients are asymptomatic, with incidental abnormalities on chest radiographs (Lynch et al., 2007). Most frequently affected extra-pulmonary sites include the skin, eyes, liver, lymph nodes, heart and central nervous system (CNS; Costabel, 2001, Nunes et al., 2007). The clinical course and expression of pulmonary sarcoidosis is variable. In at least half of cases, a benign course is followed with spontaneous resolution within less than 12–36 months, while in up to 30% of patients, the course is chronic (Lynch et al., 2007, Nunes et al., 2005). When sarcoidosis affects the skin, eyes, or liver, it causes significant morbidity (Rose et al., 2008). Mortality is estimated between 0.5% and 5% with severe disease leading to respiratory insufficiency and death from pulmonary or cardiac complications (Nunes et al., 2007). Clinical evidence of cardiac sarcoidosis has been reported in only 10% of patients, underscoring the importance of early detection.(Mehta et al., 2008). Diagnosis can be established when typical clinical-radiological findings are supported by histologic evidence of epithelioid granulomas in more than one organ system and by exclusion of other disorders known to cause granulomatous disease (Agostini et al., 2000, Costabel and Hunninghake, 1999, Hunninghake et al., 1999). The etiology of sarcoidosis is unknown. Both environmental and hereditary factors have been proposed, supported by reports of familial clustering and associations between sarcoidosis and genetic polymorphisms (Rybicki et al., 2001, Smith et al., 2008). It seems that the development of sarcoidosis is probably the end result of exogenous agents (viruses and bacteria) acting on a genetically susceptible background triggering an immune response and leading to the formation of pathognomic granulomas (Costabel, 2001, Iannuzzi et al., 2007, Saidha et al., 2012). The immune response in sarcoidosis is primarily mediated by the accumulation of activated CD4 + T-cells of the Th1 type and macrophages at sites of ongoing inflammation, notably in the lung. Cytokines and other mediators produced by these cells contribute to granuloma formation (Costabel, 2001, Smith et al., 2008). The proinflammatory macrophage cytokines IL-1, IL-6 and TNF-a are essential to induce and maintain granuloma formation, and all are increased in sarcoidosis, whereas the anti-inflammatory cytokine IL-10 is associated with resolution of the granuloma, suppressing the inflammatory response (Ziegenhagen and Muller-Quernheim, 2003). In addition to cytokines and their receptors, other cell-signaling molecules are involved in regulating immune responses. Associations between class I HLA-B8 antigens and acute sarcoidosis (Grubic et al., 2011) and HLA class II antigens are reported (Grunewald et al., 2010a, Grunewald et al., 2010b). Valentonyte et al. (Valentonyte et al., 2005) reported an association of the butyrophilin-like 2 (BTNL2) gene on chromosome 6p21.32 (OMIM #612387) with sarcoidosis, and others have confirmed this association in African Americans and Whites (Rybicki et al., 2005a, Rybicki et al., 2005b). The BTNL2 gene is a member of the immunoglobulin gene superfamily (B7 receptor family) resides in the class II major histocompatibility complex (MHC) region of chromosome 6p and is expressed on activated B and T cells. BTNL2 appears to regulate T-cell activation, implicating the gene in inflammatory autoimmune diseases (Lopez Herraez et al., 2013, Mitsunaga et al., 2013, Nguyen et al., 2006, Suzuki et al., 2012). Given previous publications of the association of a specific SNP (rs2076530; Li et al., 2006, Morais et al., 2012, Valentonyte et al., 2005, Wijnen et al., 2011) in the BTNL2 gene and sarcoidosis, we sequenced all exons and adjoining intronic regions of the BTNL2 gene (ENSG00000224242.3, gene sequence:NM_019602.1) on a clinically well-characterized cohort of Greek patients with sarcoidosis and a control population. Our aim was to replicate previously published results indicating BTNL2 gene variants as risk alleles for sarcoidosis in the Greek population and also investigate their association with specific disease phenotypic features and prognosis.

Materials and methods

Patients

This was a case-control study. The patient group consisted of (a) 146 Greek sarcoidosis patients (56 males and 90 females with mean age 46 ± 12.7; range, 21–73 years), with mean age of disease onset 43.1 ± 13.3 and (b) a general population control group (n = 90; 37 males and 53 females with a mean age of 46 ± 18.4; range, 18–77 years). The average time for observation for all patients was 5 years. There were no familiar sarcoidosis cases. The control group consisted of healthy volunteers. None of the controls had a history of pulmonary or other inflammatory disease. Whole blood samples from the patients were obtained from the Outpatient Clinic of the Respiratory Department of the University of Athens and the 8th Department of Respiratory Medicine of the “Sotiria” Chest Disease Hospital of Athens. In all patients, the diagnosis of sarcoidosis was established by typical clinical and radiological findings and in many cases supported by histological evidence of non-caseating epithelioid cell granulomas in affected tissue/organ. Detailed clinical data of the patient populations are shown in Table 1.
Table 1

Clinical details of patients with sarcoidosis.

TotalMaleFemale
Patients146(100.0%)56 (38.4%)90 (61.6%)
Age (years, mean ± SD)46± 12.740 ± 11.850 ± 11.9
Age of onset (years, mean ± SD)45± 12.539 ± 12.148 ± 11.4



Disease stage
010(6.8%)2 (1.4%)8 (5.5%)
I64(43.8%)22 (15.1%)42 (28.8%)
II52(35.6%)22 (15.1%)30 (20.5%)
III15(10.3%)5 (3.4%)10 (6.8%)
IV5(3.4%)5 (3.4%)0 (0.0%)



Smoking
Yes102(69.9%)27 (18.5%)75 (51.4%)
No31(21.2%)21 (14.4%)10 (6.8%)
Ex13(8.9%)8 (5.5%)5 (3.4%)



Diagnostic tests
Biopsy (of non-caseating epitheloid cell granulomas in tissue/organ affected)135(92.5%)45 (30.8%)90 (61.6%)
Lymph nodes32(21.9%)10 (6.8%)22 (15.1%)
Skin27(18.5%)5 (3.4%)22 (15.1%)
Lung13(8.9%)4 (2.7%)9 (6.2%)
Endrobrochial31(21.2%)12 (8.2%)19 (13.0%)
Transbronchial32(21.9%)14 (9.6%)18 (12.3%)
Clinical-radiological54(37.0%)27 (18.5%)27 (18.5%)
Hypercalciuria35(24.0%)19 (13.0%)16 (11.0%)
Heart involvment9(6.2%)3 (2.1%)6 (4.1%)
Eye involvment9(6.2%)2 (1.4%)7 (4.8%)
Skin32(21.9%)6 (4.1%)26 (17.8%)
Löfgren27(18.5%)11 (7.5%)16 (11.0%)
Nervous system2(1.4%)0 (0.0%)2 (1.4%)
Patients with relapses36(24.7%)14 (9.6%)22 (15.1%)
Follow-up available > 2 years (average 5 years)121(82.9%)43 (29.5%)78 (53.4%)
FVC%99± 2093 ± 23102 ± 17
FEV1%94± 2190 ± 2396 ± 20
DLCO%83± 2485 ± 2382 ± 25

The percentages are based on total number of samples.

All individuals included in the study were of Greek origin. The study was approved by the Ethics Committee of the University of Athens and all subjects participating signed an informed consent.

DNA extraction

Genomic DNA was extracted from 3 ml of peripheral blood, using the commercially available kit Nucleospin Blood L (MACHEREY-NAGE).

BTNL2 gene

Butyrophyillin-like-2 (MCH class II associated) BTNL2 (MIM: 606000, Gene ID:56244) sequences were downloaded from Ensembl Genome Browser (www.ensemble.org/index.html; gene sequence ENST0000022424.3; NM_019602.1). The presence of mutations in the 6 exons and neighboring intronic regions (50–150 bp on each side of each exon) of the BTNL2 gene was assessed by Sanger sequencing. Sequencing analysis was performed with the DYEnamicTM dye terminator kit-Megabase (GE HealthCare LLC), run on the Megabase 1000/4000 series automated sequencer (GE HealthCare, LLC) and analyzed with the BioEdit software. The primers were designed using Primer 3 (primer sequences are shown in Supplementary Table 1).

Mutation evaluation

The sequence of the gene including known variations were downloaded from http://www.ensembl.org/Homo_sapiens/Transcript/Variation_Transcript/. With the use of bioinformatics tools such as SIFT (Ng and Henikoff, 2003), PolyPhen-2 (Adzhubei et al., 2010), PMut (Ferrer-Costa et al., 2004), PROVEAN (Choi et al., 2012) and EX_Skip (Raponi et al., 2011) in combination with the clinical phenotype, we have attempted to elucidate the effect of these variants, including the novel ones found in this study.

Statistical analysis

Statistical analysis was performed using SPSS 17.0, p values were calculated using double-sided Fisher's test (significant p values < 0.05).

Results and discussion

The present study examined the entire coding sequence and neighboring intronic regions of the BTNL2 gene in 146 patients with sarcoidosis and in 90 healthy controls of the same ethnic origin. Thirty-seven different variants were detected from which 12 were synonymous substitutions and 25 were non-synonymous. In addition, 16 intronic variants were detected (Supplementary Table 2), from which 7 were novel. Overall, the intronic variants showed similar frequencies between cases and controls. The majority of individuals from both groups carried more than one variant with 31.5% of cases and 44.4% of controls having the wild type sequence for all regions sequenced. We used in silico tools (SIFT, PolyPhen, PROVEAN, PMut and EX_SKIP; Adzhubei et al., 2010, Choi et al., 2012, Ferrer-Costa et al., 2004, Ng and Henikoff, 2003, Raponi et al., 2011) to classify the variants as benign or pathological and EX_SKIP to determine if they affected exon skipping. If more than 2 of the SIFT, PolyPhen, PROVEAN, and PMut tools classified the variant as deleterious, pathological or possibly damaging, we considered them as being possible risk variants. Amongst the non-synonymous substitutions, six were novel, p.A142P, p.S149T, p.E242G, p.S406A, p.G412C and p.A430D (not reported in the HGMD: http://www.hgmd.org/), and were not found in the control group. One heterozygote for the minor allele was detected for the novel variants p.A142P, p.S149T, p.E242G and p.A430D while for p.S406A and p.G412C, two heterozygotes were found amongst the patient group. The in silico evaluation characterized variants p.D118N, p.A142P, p.G143D, p.T165I, p.E242G, p.S334L, p.G412C, p.A430D and p.E454C as conferring possible risk causing changes in the structure and function of the produced protein, and probably contributing to the clinical phenotype along with other genetic or environmental causes. Additionally, 15 variants, amongst them 3 novel, 5 synonymous, and the known splicing allele p.S360G (rs2076530), were identified as causing exon skipping by the EX_SKIP software (Table 2). More specifically, heterozygosity for the known sarcoidosis risk splicing variant p.S360G (rs2076530; Li et al., 2006, Morais et al., 2012, Valentonyte et al., 2005, Wijnen et al., 2011) was frequent in both cases (37.67%) and controls (30%) showing a higher frequency of homozygotes for the ancestral allele (G) amongst the control group (13.3% vs. 3.42%; p = 0.0062) rather than the sarcoidosis patients. Significant statistical difference in frequency of heterozygotes for the minor allele between cases and controls was found for p.H60H (p = 0.045) and p.W94R (p = 0.0088). Variant p.H60H, although synonymous, was identified probably causing exon skipping by EX_SKIP (Table 2).
Table 2

List of variants and genotype frequencies in sarcoidosis and control groups.

ResidueVariation ID (dbSNP)ExonNucleotide (MAF)SIFTPolyPhenPROVEANPMutEX_SKIPGenotypeSarcoidosis (n:146), counts (frequency)Controls (n:90), counts (frequency)p-value
H60Hc.180C/Trs283626832C/T(0.133)-YesCCCTTT127 (86.9%)19 (13.01%)0 (0%)85 (94.44%)4 (4.44%)1 (1.11%)0.440.0450.38
W94Rc.280A/Trs283626822A/T(0.1327)ToleratedBenignNeutralPathologicalNoTTTAAA127 (86.9%)16 (10.96%)3 (2.05%)89 (98.88%)1 (1.11%)0 (0%)0.210.00880.29
D118Nc.352G/Ars1432110742C/T(0.003)DeleteriousPossibly damagingDeleteriousNeutralSame chanceGGGAAA144 (98.63%)2 (1.4%)0 (0%)90 (100%)0 (0%)0 (0%)0.920.521
A142Pc.424G/CNOVEL2C/GToleratedPossibly damagingDeleteriousNeutralSame chanceGGGCCC145 (99.3%)1 (0.68%)0 (0%)90 (100%)0 (0%)0 (0%)111
G143Dc.428G/Ars1156536473C/T(0.037)DeleteriousProbably damagingDeleteriousNeutralNoGGGAAA145 (99.3%)1 (0.68%)0 (0%)90 (100%)0 (0%)0 (0%)111
G145Gc.435G/Trs571167663C/A(0.132)NoGGGTTT145 (99.3%)0 (0%)1 (0.68%)89 (98.88%)1 (1.11%)0 (0%)10.381
S149Nc.446G/Ars602636703C/T(0.138)ToleratedPossibly damagingNeutralNeutralNoGGGAAA145 (99.3%)0 (0%)1 (0.68%)89 (98.88%)10 (0%)10.381
S149Tc.446G/CNOVEL3G/CToleratedBenignNeutralNeutralNoGGGCCC145 (99.3%)1 (0.68%)0 (0%)90 (100%)0 (0%)0 (0%)111
T165Ic.494C/Trs785873693G/A(0.032)ToleratedPossibly damagingNeutralPathologicalYesCCCTTT144 (98.6%)2 (1.37%)0 (0%)89 (98.88%)1 (1.11%)0 (0%)111
P171Pc.513A/Trs591296823T/A(0.133)NoAAATTT141 (96.57%)4 (2.74%)1 (0.68%)89 (98.88%)0 (0%)1 (1.11%)0.850.161
R181Qc.542G/Ars283626813C/T(0.133)ToleratedBenignNeutralPathologicalNoGGGAAA141 (96.57%)4 (2.74%)1 (0.68%)89 (98.88%)0 (0%)1 (1.11%)0.850.161
K196Ec.586A/Grs20765233T/C(0.370)ToleratedBenignNeutralNeutralNoAAAGGG108 (73.97%)38 (26.03%)0 (0%)73 (81.11%)15 (16.66%)2 (2.22%)0.490.130.14
A202Vc.605C/Trs283626803C/T/G/A(0.170)ToleratedBenignNeutralNeutralYesCCCTTT139 (95.2%)6 (4.1%)1 (0.68%)87 (96.665)1 (1.11%)2 (2.22%)0.920.260.56
A202Ac.606G/Ars1474833383C/TNoGGGAAA145 (99.3%)1 (0.68%)0 (0%)90 (100%)0 (0%)0 (0%)111
R209Rc.627G/Ars600362073C/T(0.133)NoGGGAAA140 (95.89%)4 (2.74%)1 (0.68%)89 (98.88%)0 (0%)1 (1.11%)0.770.161
N210Nc.630C/Trs781077563G/A(0.038)YesCCCTTT144 (98.6%)2 (1.36%)0 (0%)88 (97.77%)2 (2.22%)0 (0%)101
E242Gc.725A/GNovel4T/CToleratedPossibly damaging)DeleteriousNeutralYesAAAGGG145 (99.31%)1 (0.68%)0 (0%)90 (100%)0 (0%)0 (0%)111
E279Ec.837G/Ars413335465C/T (0.032)NoGGGAAA143 (97.9%)3 (2.05%)0 (0%)87 (96.665)2 (2.22%)1 (1.11%)0.9210.38
R281Kc.842G/Ars413557465C/T(0.032)ToleratedProbably damagingNeutralNeutralNoGGGAAA143 (97.9%)3 (2.05%)0 (0%)87 (96.665)2 (2.22%)1 (1.11%)0.9210.38
D283Vc.848A/Trs344238045T/A(0.038)ToleratedBenignNeutralPathologicalYesAAATTT143 (97.9%)3 (2.05%)0 (0%)87 (96.665)1 (1.11%)2 (2.22%)0.9210.14
M295Vc.883A/Grs414174495T/C(0.032)ToleratedBenignNeutralNeutralYesAAAGGG145 (99.31%)1 (0.68%)0 (0%)88 (97.77%)2 (2.22%)0 (0%)0.920.561
E307Ec.921G/Ars413924475C/T(0.032)NoGGGAAA143 (97.9%)3 (2.05%)0 (0%)87 (96.665)2 (2.22%)1 (1.11%)0.9210.38
V313Vc.939A/Grs20765295T/C(0.365)YesAAAGGG93 (63.7%)50 (34.24%)3 (2.05%)67 (74.44%)22 (24.44%)1 (1.11%)0.270.180.38
S334Lc.1001C/Trs283626795G/A(0.019)DeleteriousProbably damagingDeleteriousNeutralYesCCCTTT122 (83.56%)23 (15.75%)1 (0.68%)79 (87.77%)11 (12.22%)0 (0%)0.700.581
D336Nc.1006G/Ars414416515C/T(0.032)ToleratedPossibly damagingNeutralNeutralWT/MUT same chanceGGGAAA143 (97.9%)3 (2.95%)0 (0%)88 (97.77%)1 (1.11%)1 (1.11%)10.380.38
Q350Qc.1050G/Ars92684806C/T(0.201)NoGGGAAA113 (77.39%)32 (21.92%)1 (0.68%)68 (75.55%)18 (20%)4 (4.44%)0.840.760.072
S360Gc.1078A/Grs20765306T/C(0.377)ToleratedBenignNeutralNeutralYesAAAGGG86 (58.9%)55 (37.67%)5 (3.42%)51 (56.66%)27 (30%)12 (13.33)0.830.310.0062
L366Lc.1096C/Trs768685266G/A(0.032)YesCCCTTT143 (97.9%)3 (2.95%)0 (0%)89 (98.88%)1 (1.11%)0 (0%)0.920.381
P379Lc.1136C/Trs283626786G/A(0.159)ToleratedBenignNeutralPathologicalNoCCCTTT124 (84.93%)21 (14.38%)1 (0.68%)74 (82.22%)15 (16.66%)1 (1.11%)0.770.721
M380Ic.1140G/Ars283626776C/T(0.158)ToleratedBenignNeutralNeutralWT/MUT same chanceGGGAAA124 (84.93%)22 (15.068%)0 (0%)74 (82.22%)16 (17.77%)0 (0%)0.770.601
P393Qc.1178-1179CA/AGrs415219466G/T(0.121)ToleratedBenignNeutralNeutralSameCACACAAGAGAG124 (84.93%)21 (14.38%)1 (0.68%)74 (82.22%)16 (17.77%)0 (0%)0.770.591
S404Sc.1212A/Crs414492456T/G(0.158)YesAAACCC123 (84.24%)23 (15.75%)0 (0%)74 (82.22%)16 (17.77%)0 (0%)0.840.731
S406Ac.1215 T/GNOVEL6T/GToleratedPossibly DamagingNeutralNeutralNoTTTGGG144 (98.6%)2 (29.2%)0 (0%)90 (100%)0 (0%)0 (0%)0.920.521
G412Cc. 1234G/TNOVEL6G/TDeleteriousProbably damagingNeutralPathologicalYesGGGTTT144 (98.6%)2 (29.2%)0 (0%)90 (100%)0 (0%)0 (0%)0.920.521
H414Hc.1242C/Trs415358506G/A(0.158)YesCCCTTT123 (84.24%)23 (14.75%)0 (0%)77 (85.55%)12 (13.33%)1 (1.11%)0.920.720.38
A430Dc.1289C/ANOVEL6C/AToleratedPossibly damagingNeutralPathologicalYesCCCAAA145 (99.31%)1 (0.68%)0 (0%)90 (100%)0 (0%)0 (0%)111
E454Cc.1360G/Trs283626756C/G/A(0.03)DeleteriousProbably damagingNeutralPathologicalNo.GGGTTT142 (97.26%)4 (2.74%)0 (0%)90 (100%)0 (0%)0 (0%)0.770.161

BTNL2 gene sequence: NM_019602.1 (ENSG00000454136), numbering according to HGVS nomenclature-cDNA sequence with + 1 corresponding to the A of the ATG translation initiation codon. *p-values calculated by double-sided Fisher's exact test.

Amongst the 146 patients, 27 presented with Löfgren syndrome (a benign form of sarcoidosis), eleven of which carried possible risk variants. The clinical characteristics of patients carrying either novel or previously reported variants deemed possible risk variants and/or affecting splicing are shown in Table 3. In general, the patients carrying the novel variants (cases 119, 2019, 274, 77 and 239; Table 3), either alone or in combination with other risk variants, presented with mild lung disease (stage 0 or I) and good response to treatment, except for the one carrying p.E242G, which developed stage II pulmonary sarcoidosis with relapses. All, however, presented with extra-pulmonary manifestations as well.
Table 3

Genotype and clinical characteristics of patients carrying probable risk variants.

CaseMain variantOther risk variants*Sex/age (years)Disease stageOther clinical characteristicsDLCO %
38p.S360GF/52Stage 0Uveitis81
103p.S360Gp.T165I, p.D283V, p.S334L, p.G454C, p.M295VM/25Stage 0Löfgren94
7p.S360GF/56Stage 081
77p.S334Lp.G412CF/55Stage 0Skin granulomas91
96p.S334LF/49Stage 0Skin granulomas100
21p.A202Vp.A202VF/59Stage 0Skin granulomas85
2033p.S360GF/38Stage IHyperalciuria, Löfgren93
221p.S360GF/65Stage ILöfgren66
119p.S360Gp.A430DM/34Stage IUveitis, hypercalciuria95
2019p.S360Gp.D118N, p.A148PF/28Stage IParotid gland swelling86
180p.S360GM/40Stage I, LöfgrenRelapse90
97p.S360GF/50Stage I69
102p.S360GF/49Stage I123
25p.S360GF/72Stage I89
2035p.S360GF/47Stage I109
95p.S360GF/51Stage ISkin granulomas113
2026p.S360GM/64Stage ISkin granulomas121
149p.S360GM/30Stage IHyperalciuria74
2028p.S360Gp.A202VF/55Stage ISkin granulomas, heart, pulmonary hypertension, nodulous erythema91
2027p.S360GF/40Stage IHeart, hypercalciuria, hypocalcemia77
33p.S360GF/25Stage ISkin granulomas79
19p.S360Gp.S334LF/27Stage ISkin granulomas, heart, nodulous erythema, relapse82
71p.S360GF/62Stage ILöfgren83
178p.S360Gp.S360GF/39Stage ILöfgren, parotid gland swelling111
166p.S360GM/27Stage IHypercalciuria100
165p.S360Gp.S360GF/55Stage I93
90p.S360Gp.G143D, p.A202VM/36Stage ILöfgren102
2020p.S360GM/44Stage IHypercalciuria79
18p.S360GM/43Stage IPleural fluid, hypercalciuria, hepatomegaly128
274p.S360Gp.G412CF/27Stage IHypercalciuria100
37p.S360GM/21Stage I97
50p.S360GM/58Stage I107
167p.S334LM/36Stage ILöfgren, skin granulomas86
54p.S334LM/36Stage ILöfgren, nodulous erythema, skin granulomas118
42p.S334LF/54Stage IHypercalciuria96
101p.S334LF/47Stage ILöfgren88
64p.S334LF/37Stage INodulous erythema, skin granulomas, CNS, heart, relapse115
86p.S334LF/41Stage ILöfgren102
181p.A202VF/60Stage ILöfgren, nodulous erythema, hypercalciuria, skin granuloma, relapse98
227p.S360GF/54Stage IHypercalciuria, uveitis67
2034p.S360GM/35Stage IHypercalciuria, uveitis, relapse98
194p.S360GM/41Stage I80
63p.S360Gp.D283V, p.G454C, p.A202VM/41Stage IRelapse59
72p.S360GF/46Stage II54
2069p.S360GM/32Stage II70
2068p.S360GM/43Stage II47
61p.S360GM/44Stage IIPulmonary hypertension56
65p.S360GF/68Stage IICervical lymph gland swelling82
2025p.S360GM/28Stage II85
94p.S360GM/41Stage IINodulous erythema109
9p.S360GM/25Stage II76
2054p.S360GM/48Stage IIHeart, hypercalciuria, Löfgren112
15p.S360GF/59Stage IIHypercalciuria, nodulous erythema, uveitis, face nodules74
39p.S360GM/32Stage II112
27p.S360GF/73Stage IIHyperalciuria, hypocalcemia88
85p.S360GM/41Stage IIHypercalciuria, hypocalcemia84
56p.S360Gp.S360GM/26Stage II110
213p.S360GM/34Stage IIHypercalciuria104
52p.S360GF/49Stage IIPulmonary hypertension, relapse57
2023p.S360Gp.A202VM/30Stage IIHypogammaglobulinemia, relapse39
163p.S360Gp.S360G, p.T165I, p.D283V, p.G454C, p.A202VF/40Stage IIHypercalciuria, hypocalcemia, relapse, pulmonary hypertension102
264p.S334LF/60Stage II71
59p.S334LF/71Stage IIRelapse, nodulous erythrema104
222p.S334LM/32Stage IIPulmonary hypertension, relapse84
17p.S334LF/47Stage IINodulous erythema, skin68
2031p.S334LM/32Stage IIHypercalciuria, skin97
173p.S334LF/49Stage IIRelapse65
57p.S334LF/29Stage II73
239p.E242GM/52Stage IIHypercalciuria, relapse57
104p.S360Gp.S334LM/50Stage III91
168p.S360Gp.S360GM/49Stage IIIRelapse71
89p.S360GF/50Stage IIIHyperalciuria, relapse60
60p.S360GF/48Stage IIIUveitis95
268p.S360GF/48Stage III95
114p.S360Gp.D118NM/58Stage IIISkin granulomas66
46p.S334LF/50Stage III91
196p.S334LF/58Stage III63
162p.S334LF/39Stage IIIHypercalciuria, hypocalcemia, skin, relapse69
20p.S334LM/39Stage IIIHypercalciuria, skin granulomas, hypocalcemia, relapse69
235p.S334Lp.S334LF/48Stage IIIHypercalciuria, heart, relapse87
78p.S360GM/37Stage IV40
2029p.S334LStage IV85
49p.G454CM/40Stage IVHypercalciuria, hypocalcemia, pulmonary hypertension, relapse102

*, Variants characterized as probable risk and/or causing exon skipping by the in silico method (see Methods); †DLCO: diffuse lung capacity for CO.

Previous studies have implicated rs2076530 (p.S360G) as a risk allele for autoimmune inflammatory diseases such as sarcoidosis and myositis, although the immunological basis of this association is not yet clear (Li et al., 2006, Morais et al., 2012, Valentonyte et al., 2005, Wijnen et al., 2011). The same variant was also frequently found in both the Greek cases and controls (Table 2) agreeing with previous studies (Morais et al., 2012, Rybicki et al., 2005a). The second most common “possible risk variant” as characterized by the in silico study for the Greek population was p.S334L (15.75%), with another 11 nonsynonymous “possible risk variants” [p.D118N (cases 2019 and 114), p.A142P (2019), p.G143D (90), p.T165I (103, 163), p.A202V (63, 2028, 2023, 90, 163, 181, 21), p.E242G (239), p.D283V (63, 103, 163), p.M295V (103), p.G412C (274, 77), p.A430D (119) and p.E454C (63, 103, 163, 49)], found in 1 to 4 cases; the majority in combination with other risk variants (Table 3). Studying the coinheritance of other risk variants in the 60 patients carrying rs2076530, we found that five also carried p.A202V. The largest proportion of these (4/5, 80%) had chronic disease with relapses, pulmonary hypertension, calciuria and cardiac complications. However, a patient with Löfgren syndrome (case 90), a benign form of the disease, was compound heterozygote for p.G143D, p.A202V and p.S360G, perhaps moderating the expression of the disease. Detection of p.A202V in homozygosity (case 21) in the absence of any other risk variants was associated with mild lung disease but in combination with relapses and exo-pulmonary complications. While the combination of p.D118N, p.A142P and p.S360G (case 2019) presented with mild lung disease, normal DLCO and parotid gland swelling, while the coinheritance of p.A430D and p.S360G (case 119) resulted in mild pulmonary disease with hypercalciuria and uveitis. Five p.S360G homozygotes (168, 56, 178, 165) with one also coinheriting 4 other risk variants (163) were detected. Four of these p.S360G homozygotes presented with mild pulmonary disease while case 163 presented with stage II disease accompanied by extra-pulmonary complications and relapses. One might conclude that the coinheritance of more than one risk variant contributed to the more severe phenotype (Table 3). From the total of 146 sarcoidosis cases, we had a follow-up duration for five years on average for 121. They were divided into two subgroups. Subgroup A consisting of 81 patients with non-persistent pulmonary disease stage 0 or I, including 11 patients with Löfgren syndrome and subgroup B composed of 40 patients with persistent pulmonary disease stage II, III or IV. The most common variant p.S360G (rs2076530) was detected in 37 patients (45.7%) in subgroup A and in 12 patients (30%) in subgroup B. The second most common variant p.S334L was detected in heterozygosity with no other risk variants in 19 cases, the majority of which had stage II or III pulmonary disease and almost all presented extra-pulmonary manifestations and relapses. A homozygous p.S334L case (235) presented with stage III disease, relapses and extra-pulmonary complications with a large proportion having skin granulomas. Perhaps the inheritance of this variant in patients with sarcoidosis increases the likelihood of skin manifestations. Variant p.S334L coinherited with p.S360G (104, 19) was also associated with severe pulmonary disease with relapses, heart and skin symptoms, while case 103 with the variant combination: p.S334L, p.T165I, p.D283V, p.E454C, and p.M295V had Löfgren syndrome with spontaneous recovery without therapy. The additional coinheritance of the other risk variants could act as disease modifiers (Table 3). Finally, variant p.E454C alone or together with others could be characterized as a risk allele related to chronic disease with relapses, pulmonary hypertension, hypercalciuria and hypercalcemia. One of the limitations of our study is the small number of cases and controls; however, a major strength is that the cases and controls were of the same ethnic origin, avoiding population stratification. Additionally, the cases were well characterized clinically into different sarcoidosis disease stages. Finally, none of the previous studies had sequenced the whole coding region of the BTNL2 gene.

Conclusions

The clinical phenotypes of complex diseases are most likely due to the interaction between multiple causative or contributory alleles, as well as non-genetic determinants (Cooper et al., 2013). Sarcoidosis being a multifactorial/complex disorder, the requirement for genetic risk alleles in many genes and/or environmental factors has been proven to be necessary for the disease to manifest clinically (Grunewald, 2010). In this case control study, the combinations of multiple causative or contributory risk variants in the BTNL2 gene, implicated in the causation of sarcoidosis, were found to affect the final clinical phenotype of the disease with p.S360G and p.S334L contributing to a more severe disease stage with extra-pulmonary manifestations such as skin granulomas and relapses. The following are the supplementary data related to this article.

Supplementary Table 1

PCR primers for the BTNL2 gene

Supplementary Table 2

Intronic variants in the BTNL2 gene in cases and controls
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