Printer Friendly

Role of genetics in pediatric rheumatology.


In Pediatric Rheumatology outpatient clinics, early diagnosis of different types of diseases, which are mostly systemic, and accurate treatment in association with the diagnosis is very important. Although diagnoses are basically made through clinical observation and examinations of acute-phase responses, genetic diagnosis may be supportive in diagnosis and directive in treatment in some of these diseases. This is especially important in terms of rare monogenic diseases (hereditary autoinflammatory diseases), which constitute a part of inflammation-based diseases that occur in childhood. As explained in detail below, some rare monogenic diseases including Familial Meditarenean fever (FMF) are observed more frequently in our country because of both our geography and increased consanguineous marriages. In addition to these hereditary diseases, there are also multifactorial autoinflammatory diseases that are inherited with complex-type models and occur with interactions of genetic and environmental factors, including systemic juvenile idiopathic arthritis. Altough susceptibility genes and defects of these genes related with diseases have been identified, the factors involved in the etiopathogenesis are still not fully known. Finally, there are also patients who have autoinflammatory signs, but whose clinical diagnoses cannot be made clearly or who show familial inheritance but are not phenotypically compatible with diseases described to date. For this group of diseases, early diagnosis and potential effective treatment options are possible by specification of diseases that have not been previously described, and the related genetic mutations based on the type of familial inheritance and presence and number of relatives with and without disease. In this review, the place and importance of genetic studies in pediatric rheumatic diseases, which are observed relatively frequently in our country, are explained under three titles:

1) The genetic basis of monogenic autoinflammatory diseases (MAD) and the importance of genetic diagnosis

2) Known susceptibility genes in frequently observed diseases with complex inheritance

3) Definition of new genes and diseases in familial cases with an unclear clinical picture

1. The genetic basis of monogenic autoinflammatory diseases and the importance of genetic diagnosis

The detection of single-gene mutations enabled description of a group of genetic autoinflammatory diseases characterized by recurrent fever and inflammation. These diseases are characterized through clinical findings including excessive inflammasome activation, recurrent fever episodes, eruption, urticarial rash, serositis, lymphadenopathy, and arthritis, which occur as a result of disorders of the innate immune system. These diseases are differentiated from autoimmune diseases with occurence of inflammatory episodes in the absence of autoantibody production and autoreactive T cells. Although these diseases generally occur in childhood, onset may rarely be observed in adulthood (1). Monogenic autoinflammatory diseases are classified in different groups according to clinical properties and pathogenesis (2). The diseases described in this scope include FMF, tumor necrosis factor (TNF) receptor-associated periodic syndrome (TRAPS), mevalonate kinase deficiency/hyperimmunoglobulin D syndrome (MKD-HIDS), NLRP12- related syndrome (NLRP12AD), Blau syndrome, pyogenic arthritis, pyoderma gangrenosum and acne syndrome (PAPAs), early-onset sarcoidosis (EOS), Majeed syndrome (MS), interleukin-1 receptor antagonist deficiency (DIRA), cryopyrin associated periodic syndromes (CAPS), IL-36 receptor antagonist deficiency (DITRA), CARD14-mediated pustular psoriasis (CAMPS) and chronic atypical neutrophilic dermatosis, lypodistrophy, and elevated temperature (CANDLE). The genes, mutations, and inheritance models associated with these diseases are shown in Figure 1. In addition, the genetic characteristics and diagnoses of those that are observed relatively frequently in our population are explained in more detail below. The most reliable mutation detection method used in genetic diagnosis laboratories for most of these diseases includes reproduction of the encoding regions in the disease-related gene (exons shown in Table 1) in DNA samples obtained from patients using polymerase chain reaction (PCR) for Sanger sequencing, automated capillary DNA sequencing (including ABI), and comparison of the obtained DNA sequences (Electropherogram) with healthy controls. Although PCR and reverse-hybridization-based tests are also used routinely for some of these diseases in our country, these tests may give erroneous results (3). In addition, the strip test generally used for FMF can detect only 12 mutations and may occasionally miss the other mutations found in exons 2-3-5 and 10. Another method is next-generation sequencing (NGS). All candidate gene regions and sequences of the patient's one or more genes including the encoding and non-encoding parts are obtained with this method. Although this is the most important advantage of this method, evaluation of the results in the context of bioinformatics and subsequent genetic counseling require advanced expertise. As a result of this type of analysis, approximately 300-500 variants have been observed without bioinformatics-based filtering on an average gene (with a length of 15 kb). Subsequently, the number of variants may decrease from 30-50 to 5-10 depending on the measurements if the variants are in the encoding or non-encoding regions, if they change amino acids and the prevalences in the population. A comparison of the advantages and disadvantages of genetic diagnostic methods used for these types of disease is shown in Table 2 (4-6). Including all this information and providing a detailed explanation of the potential relationship regarding the mutation/variant with the phenotype in genetic diagnosis reports that are presented to physicians is important.

1.1. Familial Meditarenean fever

Familial Mediteranean fever, which is the most common MAD in our community, is associated with inflammation in the peritoneum, synovium, pleura, and rarely the pericardium, mostly in association with fever. The prevalence of FMF in the Turkish population is 1/1000, though this increases to 1/395 in internal regions. The MEFV gene, which is associated with FMF, is found on the 16p13.3 region and is composed of 10 exons (7). The MEFV gene, which is specifially expressed in neutrophils, eosinophils, monocytes and dendritic cells, encodes the 781--amino-acid pyrin/marenostrin protein. MEFV gene mutations lead to an increase in cytokine synthesis, NF-[kappa]B activation, and inhibition of apoptosis. These changes in the inflammatory mechanism leads to the pathogenesis of FMF (8). Although FMF shows an autosomal recessive inheritance, cases showing dominant or complex heterozygous inheritance or carrying no mutation have been reported. One hundered seventy-one variations that have been associated with FMF have been found on the MEFV gene. Current mutations and variations for all MADs are found in the InFevers database (9). M694V, M680I, V726A, M694I, and E148Q, which are among the mutations found in the 2nd, 3rd, and 10th exons, constitute 70% of the variations that have been associated with the disease. The high carrier rates for MEFV mutations in some populations, including the Turkish population, indicate the need for neonatal screening for FMF. This need is more pressing in populations with high rates of consanguineous marriages, such as the Turkish population. Moreover, genetic testing in the diagnosis of FMF is important in terms of preventing injury caused by amiloid-A (AA) amyloidosis, which is the most severe complication of the disease. Previous studies have shown that the risk of developing severe disease phenotype is higher in patients who are homozygous for M694V (10). It was observed that the homozygous state for M694V was a high risk factor for amiloidosis in Armenians, Israelis, and Arabs (11). In a meta-analysis that included 3505 Turkish patients, it was shown that 189 of 400 patients who developed amilosidosis were M694V homozygous (12). Considering that amiloid-A amiloidosis leads to renal injury and multiple organ failure in the long term, if not treated, identifying individuals who are M694V homozygous and initiating treatment or close follow-up even if they are asymptomatic or have moderate symptoms is very important in terms of the course of the disease.

1.2. Periodic syndrome associated with tumor necrosis factor receptor

Tumor necrosis factor receptor-associated periodic syndrome (TRAPS) was first described in 1982 as familial periodic fever (FPF) with autosomal dominant inheritance (13). Periodic syndrome associated with tumor necrosis factor receptor, which commonly occurs in Europeans with Scotch-Irish origin, is also observed in Ashkenazi and Seferad Jews and Israil-end Armenian Arabs (1). Although the disease mostly manifests clinically in childhood (average three years of age), the diagnosis may be made in later childhood or in adulthood. The periodic syndrome associated with tumor necrosis factor receptor gene is TNFRSF1A, which is composed of 10 exons and encodes tumor necrosis factor receptor-1 (TNFR1), is a 55-kDa transmembrane glycoprotein. One hundred five of 146 defined variations, which were observed especially on the 2nd, 3rd, 4th, and 6th exons, were associated with the disease (9). Mutations, which show high penetrance, cause disruption in the three-dimensional structure of the TNFR1 protein and inhibit migration of this protein to the cellular surface and attachment to TNF. The protein, which remains inside the cell, leads to the picture of TRAPS by inducing inflammation (14). Disease-onset is earlier and the clinical course is more severe in individuals who carry these mutations. Mutations including R92Q and P46L cause the disease to occur later and have a milder clinical picture (15). In the study conducted by our group, the 2nd, 3rd, and 4th exons in the TNFRSF1A gene were sequenced in 50 individuals who were suspected to have TRAPS; heterozygous c.236C>T variations (rs104895219, exon 3, pathogenic mutation, p.Thr79Met-T50M) were defined in two individuals and a heterozygous c.123T>G variation (rs104895271, exon 2, non-pathogenic, p.Asp-41Gul-D12D) was defined in one individual (16).

1.3. Blau syndrome

Blau syndrome is a rare autosomal dominant, autoin-flammatory disease that predominantly occurs in Caucasians and is characterized by granulomatous recurrent uveitis, dermatitis, and symmetrical arthritis. Following demonstration of the fact that three missense mutations in the CARD15/NOD2 gene (R334Q, R334W, and L469F) cause Blau syndrome, different CARD15/NOD2 mutations have been identified through genotyping in many study groups of different ethnic origins (17). The CARD15/NOD2 gene encodes the nucleotide oligomerization domain 2 (NOD2) protein, which possesses 1040 amino acids and multiple areas. The nucleotide oligomerization domain 2 is expressed in myelomonocytic, dendritic, and Paneth cells, and has a significant role in the innate immune system. Most of Blau mutations are constituted by mutations that cause changes of the amino acid arginine in the 334th position (R334W or R334Q) (18, 19). In cases when it is clinically difficult to differentiate patients with Blau syndrome from others with inflammatory chronic recurrent arthritis, molecular genetic analysis should be performed for a clear diagnosis. In the analyses performed by our group, the 4th exon of the NOD2 gene was screened in 27 individuals who were suspected to have Blau syndrome and no pathogenic mutation was found in any of these patients (16).

1.4. Cryopyrin-associated periodic syndromes

Cryopyrin-associated periodic syndromes (CAPS) are a rare, autoinflammatory disease group that generally has autosomal dominant inheritance. CPAS has three clinical subtypes according to the severity of the disease: Familial cold autoinflammatory syndrome (FCAS), Muckle--Wells syndrome (MWS), and chronic infantile neurologic cutaneous articular syndrome/neonatal-onset multisystemic inflammatory disease (CINCA/NO-MID). Dominant missense mutations in the NLRP3 gene found in the chromosome region 1q44 are responsible for most cases of CAPS (20). It is thought that the basic mechanism in the pathogenesis of CAPS includes NLRP3 activation caused by missense mutations and inflammation due to the resultant increase in IL-1 production in monocytes and macrophages. Different activation levels caused by NLRP3 mutations are thought to be associated with the occurence of three phenotypes with different clinical severities. Similar clinical pictures exhibited by patients who do not carry NLRP3 mutations support the assumption that other modifying genes or environmental factors may affect the disease phenotype (21). The fact that 13 variations including 3 pathogenic ones were found in the sequencing of 3 exons in the NLRP3 gene in 55 patients who presented with suspected CAPS in our study supports this opinion (16).

1.5 Hyperimmunoglobulin D syndrome

Hyperimmunoglobulin D syndrome (HIDS) is an autosomal recessive, autoinflammatory disease that occurs in infacy with fever episodes lasting for 3-7 days, recurs every 4-6 weeks, and is mostly observed in Caucasians. The hyperimmunoglobulin D syndrome gene has been mapped to the mevalonate kinase (MVK) gene found on the 12th chromosome (22). Mevalonate kinase is involved in the sterol biosynthesis pathway. Although it is known that mutations in this gene lead to a decrease in MVK protein levels, the pathogenesis has yet to be fully elucidated. The differential diagnosis of hyperimmunoglobulin D syndrome from the other autoinflammatory diseases is made through the patient's clinical picture, medical and familial history, and subsequent genetic analysis. However, MVK mutations have been found in only 2% of patients who had a negative test for FMF and at least one of the main clinical characteristics observed in HIDS (23). Therefore, it is important to select patients in whom genetic analyses will be performed for the detection of MVK mutations. In the analyses performed by our group, the 2nd, 3rd, 4th, 6th, and 8-9th exons of the MVK gene were screened in 27 individuals who were suspected of having HIDS, and nine variations with unknown function were detected including two known pathogenic ones and two new variants (16).

1.6. Methods used in the genetic diagnosis of hereditary autoinflammatory diseases

Although genetic diagnosis is important in these diseases, examination of certain regions of the disease genes or known single mutations in the studies of our group and other studies published so far is mostly not sufficient. In one study, it was reported that no mutation was found with Sanger sequencing in 50% of patients who had systemic autoinflammatory diseases and new variants could also be found together with almost all expected variants when 10 genes that are involved in most of these diseases were screened with next-generation sequencing (24). Sanger sequencing may also fall short due to is inability to detect somatic mosaicism in some patients. Somatic mosaism was found with massive parallel sequencing in six of eight patients who presented with suspected cryopyrin-as-sociated peirodic syndrome and were shown not to carry NLRP3 mutations with Sanger sequencing and these individuals were found to carry known/new pathogenic mutations. Next-generation sequencing was performed for the remaining two patients; an NOD2 mutation was observed in one of these patients and Blau syndrome was diagnosed instead of CAPS in this patient (25). More importantly, screening of single suspected genes including CAPS and TRAPS, TRAPS and HIDS or HIDS, TRAPS, CAPS and FMF with standard sequencing is not efficient in terms of time and cost when patients with multiple suspected diagnoses are referred to genetic diagnosis laboratories. In such cases, it seems to be more beneficial to simultaneously screen autoinflammatory genes that have been identified and are observed commonly using NGS methods.

2. Known susceptibility genes in commonly observed diseases with complex inheritance

Conditions with complex inheritance including juvenile idiopathic arthritis (JIA), systemic lupus erythematosus (SLE), Crohn's disease, and Behcet's syndrome (BS), are among childhood rheumatic diseases. Juvenile idiopathic arthritis is known as chronic rheumatism of childhood and occurs as a result of interaction of genetic and environmental factors. It involves autoimmune and inflammatory characteristics and shows clinical heterogeneity. Although genetic epidemiologic studies have shown that JIA can be inherited, most cases occur sporadically. Different variations have been identified in many different genes in the occurrence of juvenile idiopathic arthritis. Allele variations that have been defined in the human leukocyte antigene (HLA) region and produce different anti-genes predominate. Different HLA alleles associated with certain clinical pictures and different JIA subtypes have been found. For example, it was observed that the DRB1*08- DQA1*0401-DQB1*0402 haplotype increased the tendency to persistent and extended JIA and the DRB1*01-DQA1*0101-DQB1*0501 haplotype was related with a risk of enthesitis-related arthirits (ERA) and psoriatic arthritis (26). In contrast, the inability to define HLA alleles strongly associated with systemic JIA (sJIA) may suggest that sJIA is directed by antigenes. However, a recent study found that the DRB1*11 allele and DRB1*11-DQA1*05-DQB1*03 haplotype were quite strongly associated with sJIA (27). One of the JIA-associated variations identified outside the human leukocyte antigen region is the C1858T T allele and T/T genotype in the PTPN22 gene (28). In addition, associations of variations in other genes including MIF, SLC11A6, WISP3, and TNF with JIA have been demonstrated (29, 30).

Systemic lupus erythematosus, which is another condition with complex inheritance, is a chronic, systemic, autoimmune disease that generally involves the skin, bone, kidneys, lungs, and central nervous sytem, with a variable clinical picture. The association rates shown in twin studies and prevalence results in first-degree/second-degree relatives indicated a significant role of genetics in the occurrence of SLE (31, 32). It is thought that polymorphisms in the FCGR2A, -2B, -3A and -3B genes encoding Fc gamma receptors, which are known to have a significant role in occurrence of the immune response, may be associated with SLE (33). The R620W variation in the 14th exon on the PTPN22 gene has also been associated with a risk for SLE as well as with many autoimmune diseases (34). Polymorphysims on the STAT4 gene have also been shown to be associated with SLE. Among these, the intronic rs7574865 variation is thought to lead to a more severe pheno-type. DRB1*0301 and DRB1*1501 alleles on the human leukocyte antigen locus have also been observed to be associated with a risk for SLE (35). Additionally, it has been shown that variants in the genes involved in immunologic pathways including TNFAIP3 may increase the risk for SLE occurence (36). To date, more than 100 variations with a relative risk ranging between 1.15 and 2 have been identified in association with SLE and most cases of SLE are thought to occur as a result of accumulations these factors.

Crohn's disease is the chronic, recurring type of inflammatory bowel disease. Twin studies and familial aggregation findings have shown the role of genetics in the occurrence of Crohn's disease (37). Variations in the NOD2 gene, which is involved in microbial recognition, are the stongest genetic risk factors defined for Crohn's disease (38). R702W, G908R, and L1007fsinsC are the most common NOD2 mutations in Crohn's disease. Another variation that has been shown to have a strong relation with the disease is the T300A polymorphism in the ATG16L1 gene, which is involved in the occurrence of autophagosome (39). Again, variations in the IRGM and LRRK2 genes, which are involved in the regulation of autophagia, have also been associated with Crohn's disease (40). One of the loci that contribute to the risk of Crohn's disease to a significant extent is the HLA region. In a meta-analysis, it was shown that DRB1*0410 and DRB1*0103 among class II HLA alleles and Cw8 and B21 among class I HLA alleles were HLA variants that showed the strongest relation with Crohn's disease (35). Other HLA alleles and variations in genes generally related with lymphocyte activation, survival, and growth including PTPN22 and IL23R were also shown to be related with Crohn's disease (40).

Behcet syndrome (BS) is an autoinflammatory disorder that involves multiple systems and is characterized by mucosal ulceration and neutrophilic inflammation in immune-protected areas including the eye, brain, and synovial joints (41). Although many cases of BS are sporadic, familial aggregation is observed with varing frequencies in different populations (more frequenct in juvenile patients) (42, 43). The strongest genetic factor associated with the risk of Behcet syndrome is the HLA-B5/B51 allele carrier state, which is observed more frequently in familial cases compared with sporadic BS (44, 45). In a meta-analysis that comprised 4 800 patients with BS and 16 289 controls, the HLA--B51/B5 frequency was found as 57.2% in patients with BS, and 18.1% in the controls (OR 5.78, 95% CI: [5.00-6.67]) (45). In another study, it was shown that the HLA-B*5101 variant had a strong relation with BS, and the MICA-A6 allele was reported to increase predisposition to BS (46). There is also evidence showing an epistatic interaction between ERAP and HLA-B51, as well as an association between the STAT4, CCR1, KLRC4, and ERAP1 genes with BS (47). In addition, different studies have shown an association between other genes and loci including HLA-A26, KIAA1529, CPVL, LOC100129342, UBASH3B, UBAC2, IL10, IL23R-IL12RB2, and TNF and BS risk (48-50).

3. Definition of new genes and diseases in familial cases with an unclear clinical picture

Although the number of rare diseases is not known exactly, the Mendelian Inheritance in Man (OMIM) database has reported that there are propably more than 24000 genetic diseases or phenotypes and the number of diseases for which a molecular basis (etiology) has been explained among these is approximately 4 200 ( Considering the mutation occurrence rate and the number of known genes in the human genome, the number of genetic diseases is expected to increase to around 28000. It is known that approximately 7000 of the predicted genetic diseases are observed very rarely.

The genes of diseases can be found or new diseases can be identified with disease gene research studies in patients who present with autoinflammatory signs, but who do not fully comply with known diseases, and have more than one affected individual in the family. In all families evaluated in this context, the hereditary model is identified primarily (autosomal or gonosomal, reccessive or dominant), and the genomic regions responsible for the disease are investigated using linkage analysis methods with appropriate genotyping tools. In the candidate gene regions found as a result of linkage analyses, candidate genes that comply with the phenotype to the greatest extent are investigated. Homozygosity mapping is one of the most efficient methods in cases where the disease is inherited autosomal recessively because consanguineous marriages are common in our country. This approach is based on the fact that the possibility of a homozygous carrier state for disease-related loci is very high in these patients. Another efficient method for narrowing candidate gene regions is "exom sequencing," which involves sequencing of only protein-encoding regions of the genome. Thus, it is possible to determine genetic mutations that are responsible for disease. Subsequently, cadidate genes and mutations should be confirmed using Sanger sequencing and the frequencies of inheritance in the healthy population should be investigated. As a result of these studies, it will be possible to open diagnostic and therapeutic paths for these conditions.

In conclusion, many new diseases have been identified with the discovery of new genes and mutations since the time when hereditary autoinflammatory diseases were first described. Despite information related with different clinical associations in these diseases, and exclusion criteria directed to a diagnosis of suspected autoinflammatory disease, a definite diagnosis mostly requires molecular genetic analyses. Interpretation of genetic results requires a certain level of expertise and is error-prone. The potential effects of genetic variation types found in patients (high or low penetrance mutations, polymorphisms) on the disease pathology should be explained. As explained above, positive genetic evidence cannot be found in a certain percentage of patients who have very typical clinical pictures. Therefore, it is important that consultant centers work in colloboration with experts of genetics. In addition, diseases in the MAD group are significant in terms of the number of individuals affected in the population because the incidence may be very high, though these diseases are included in the class of "rare diseases." Specifying the genetic changes that cause disease in this group of familial diseases will enlighten both the mechanism of diseases and development of potential therapeutic probabilities.

Peer-review: Externally peer-reviewed.

Author Contributions: Concept - E.T.T., E.E., A.B., A.K.A., O.K.; Design - E.T.T., E.E., A.B., A.K.A., O.K.; Supervision - E.T.T., E.E., A.B., A.K.A., O.K.; Funding - E.T.T., O.K.; Materials -E.T.T., O.K.; Data Collection and/or Processing - E.T.T., E.E., A.B., A.K.A., O.K.; Analysis and/or Interpretation - E.T.T., O.K.; Literature Review - E.T.T., E.E., A.K.A.; Writing - E.T.T., E.E., A.B., A.K.A., O.K.; Critical Review - E.T.T., E.E., A.B., A.K.A., O.K.

Conflict of Interest: No conflict of interest was declared by the authors.

Financial Disclosure: The authors declared that this study has received no financial support.


(1.) Caso F, Rigante D, Vitale A, et al. Monogenic autoinf-lammatory syndromes: state of the art on genetic, clinical, and therapeutic issues. Int J Rheumatol 2013; 2013: 513782. [CrossRef]

(2.) Rigante D, Vitale A, Lucherini OM, Cantarini L. The hereditary autoinflammatory disorders uncovered. Autoimmun Rev 2014; 13: 892-900. [CrossRef]

(3.) Bidari A, Ghavidel-Parsa B, Najmabadi H, et al. Common MEFV mutation analysis in 36 Iranian patients with familial Mediterranean fever: clinical and demographic significance. Mod Rheumatol 2010; 20: 566-72. [CrossRef]

(4.) Delague V, Kriegshauser G, Oberkanins C, Megarbane A. Reverse-hybridization vs. DNA sequencing in the molecular diagnosis of familial Mediterranean fever. Genet Test 2004; 8: 65-8. [CrossRef]

(5.) van Dijk EL, Auger H, Jaszczyszyn Y, Thermes C. Ten years of next-generation sequencing technology. Trends Genet 2014; 30: 418-26. [CrossRef]

(6.) Zhang W, Cui H, Wong LJ. Application of next generation sequencing to molecular diagnosis of inherited diseases. Top Curr Chem 2014; 336: 19-45. [CrossRef]

(7.) Ancient missense mutations in a new member of the Ro-Ret gene family are likely to cause familial Mediterranean fever. The International FMF Consortium. Cell 1997; 90: 797-807. [CrossRef]

(8.) Chae JJ, Aksentijevich I, Kastner DL. Advances in the understanding of familial Mediterranean fever and possibilities for targeted therapy. Br J Haematol 2009; 146: 467-78. [CrossRef]

(9.) Infevers. The registry of hereditary auto-inflammatory disorders mutations 2014. address: (Date retrieved: 27.04.2015).

(10.) Ozturk C, Halicioglu O, Coker I, et al. Association of clinical and genetical features in FMF with focus on MEFV strip assay sensitivity in 452 children from western Anatolia, Turkey. Clin Rheumatol 2012; 31: 493-501. [CrossRef]

(11.) Touitou I, Sarkisian T, Medlej-Hashim M, et al. Country as the primary risk factor for renal amyloidosis in familial Mediterranean fever. Arthritis Rheum 2007; 56: 1706-12. [CrossRef]

(12.) Akpolat T, Ozkaya O, Ozen S. Homozygous M694V as a risk factor for amyloidosis in Turkish FMF patients. Gene 2012; 492: 285-9. [CrossRef]

(13.) Williamson LM, Hull D, Mehta R, Reeves WG, Robinson BH, Toghill PJ. Familial hibernian fever. Q J Med 1982; 51: 469-80.

(14.) Rebelo SL, Bainbridge SE, Amel-Kashipaz MR, et al. Modeling of tumor necrosis factor receptor superfamily 1A mutants associated with tumor necrosis factor receptor-associated periodic syndrome indicates misfolding consistent with abnormal function. Arthritis Rheum 2006; 54: 2674-87. [CrossRef]

(15.) Ravet N, Rouaghe S, Dode C, et al. Clinical significance of P46L and R92Q substitutions in the tumour necrosis factor superfamily 1A gene. Ann Rheum Dis 2006; 65: 1158-62. [CrossRef]

(16.) Kirectepe-Aydin A. Sequencing analysis of hereditary autoinflammatory diseases in Turkish population. 9 th International Congress on Autoimmunity, Nice, March 26-30, 2014.

(17.) Miceli-Richard C, Lesage S, Rybojad M, et al. CARD15 mutations in Blau syndrome. Nat Genet 2001; 29: 19-20. [CrossRef]

(18.) Snyers B, Dahan K. Blau syndrome associated with a CARD15/NOD2 mutation. Am J Ophthalmol 2006; 142: 1089-92. [CrossRef]

(19.) Wang X, Kuivaniemi H, Bonavita G, et al. CARD15 mutations in familial granulomatosis syndromes: A study of the original Blau syndrome kindred and other families with large-vessel arteritis and cranial neuropathy. Arthritis Rheum 2002; 46: 3041-5. [CrossRef]

(20.) Hoffman HM, Mueller JL, Broide DH, Wanderer AA, Ko-lodner RD. Mutation of a new gene encoding a putative pyrin-like protein causes familial cold autoinflammatory syndrome and Muckle-Wells syndrome. Nat Genet 2001; 29: 301-5. [CrossRef]

(21.) Aksentijevich I, Nowak M, Mallah M, et al. De novo CIAS1 mutations, cytokine activation, and evidence for genetic heterogeneity in patients with neonatal-onset multisystem inflammatory disease (NOMID): A new member of the expanding family of pyrin-associated autoinflammatory diseases. Arthritis Rheum 2002; 46: 3340-8. [CrossRef]

(22.) Drenth JP, Cuisset L, Grateau G, et al. Mutations in the gene encoding mevalonate kinase cause hyper-IgD and periodic fever syndrome. Nat Genet 1999; 22: 178-81. [CrossRef]

(23.) Federici L, Rittore-Domingo C, Kone-Paut I, et al. A decision tree for genetic diagnosis of hereditary periodic fever in unselected patients. Ann Rheum Dis 2006; 65: 1427-32. [CrossRef]

(24.) Rusmini M, Federici S, Caroli F, et al. A Next Generation Sequencing approach to the mutational screening of patients affected with systemic autoinflammatory disorders: diagnosis improvement and interpretation of complex clinical phenotypes. Pediatr Rheumatol Online J 2015; 13: O24. [CrossRef]

(25.) Gomes SM, Arostegui J, Omonyinmi E, et al. The role of somatic NLRP3 mosaicism and new gene discovery in mutation negative cryopyrin-associated periodic syndrome patients. Pediatr Rheumatol 2014; 12: P70. [CrossRef]

(26.) Thomson W, Barrett JH, Donn R, et al. Juvenile idiopathic arthritis classified by the ILAR criteria: HLA associations in UK patients. Rheumatology 2002; 41: 1183-9. [CrossRef]

(27.) Ombrello MJ, Remmers EF, Tachmazidou I, et al. HLA-DRB1* 11 and variants of the MHC class II locus are strong risk factors for systemic juvenile idiopathic arthritis. Proc Natl Acad Sci USA 2015; 112: 15970-5. [CrossRef]

(28.) Lee YH, Bae SC, Song GG. The association between the functional PTPN22 1858 C/T and MIF--173 C/G polymorphisms and juvenile idiopathic arthritis: a meta-analysis. Inflamm Res 2012; 61: 411-5. [CrossRef]

(29.) Prahalad S. Genetics of juvenile idiopathic arthritis: an update. Curr Opin Rheumatol 2004; 16: 588-94. [CrossRef]

(30.) Rosen P, Thompson S, Glass D. Non-HLA gene polymorphisms in juvenile rheumatoid arthritis. Clin Exp Rheumatol 2003; 21: 650-6.

(31.) Block SR, Winfield JB, Lockshin MD, d'Angelo WA, Christian CL. Studies of twins with systemic lupus erythematosus: a review of the literature and presentation of 12 additional sets. Am J Med 1975; 59: 533-52. [CrossRef]

(32.) Alarcon-Segovia D, Alarcon-Riquelme ME, Cardiel MH, et al. Familial aggregation of systemic lupus erythematosus, rheumatoid arthritis, and other autoimmune diseases in 1,177 lupus patients from the GLADEL cohort. Arthritis Rheum 2005; 52: 1138-47. [CrossRef]

(33.) Relle M, Weinmann-Menke J, Scorletti E, Cavagna L, Schwarting A. Genetics and novel aspects of therapies in systemic lupus erythematosus. Autoimmun Rev 2015; 14: 1005-18. [CrossRef]

(34.) Orozco G, Sanchez E, Gonzalez-Gay MA, et al. Association of a functional single-nucleotide polymorphism of PTPN22, encoding lymphoid protein phosphatase, with rheumatoid arthritis and systemic lupus erythematosus. Arthritis Rheum 2005; 52: 219-24. [CrossRef]

(35.) Fernando MM, Stevens CR, Walsh EC, et al. Defining the role of the MHC in autoimmunity: a review and pooled analysis. PLoS Genet 2008; 4: e1000024. [CrossRef]

(36.) Graham RR, Cotsapas C, Davies L, et al. Genetic variants near TNFAIP3 on 6q23 are associated with systemic lupus erythematosus. Nat Genet 2008; 40: 1059-61. [CrossRef]

(37.) Spehlmann ME, Begun AZ, Burghardt J, Lepage P, Raedler A, Schreiber S. Epidemiology of inflammatory bowel disease in a German twin cohort: results of a nationwide study. Inflamm Bowel Dis 2008; 14: 968-76. [CrossRef]

(38.) Brant SR, Wang MH, Rawsthorne P, et al. A population-based case-control study of CARD15 and other risk factors in Crohn's disease and ulcerative colitis. Am J Gastroenterol 2007; 102: 313-23. [CrossRef]

(39.) Hampe J, Franke A, Rosenstiel P, et al. A genome-wide association scan of nonsynonymous SNPs identifies a susceptibility variant for Crohn disease in ATG16L1. Nat Genet 2007; 39: 207-11. [CrossRef]

(40.) Barrett JC, Hansoul S, Nicolae DL, et al. Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease. Nat Genet 2008; 40: 955-62. [CrossRef]

(41.) Hatemi G, Yazici Y, Yazici H. Behcet's syndrome. Rheum Dis Clin North Am 2013; 39: 245-61. [CrossRef]

(42.) Kone-Paut I, Geisler I, Wechsler B, et al. Familial aggregation in Behcet's disease: high frequency in siblings and parents of pediatric probands. J Pediatr 1999; 135: 89-93. [CrossRef]

(43.) Zouboulis CC. Epidemiology of adamantiades-Behget's disease. Ann Med Interne 1999; 150: 488-98.

(44.) Yazici H, Akokan G, Yalcin B, Muftuoglu A. The high prevalence of HLA-B5 in Behcet's disease. Clin Exp Immunol 1977; 30: 259-61.

(45.) de Menthon M, LaValley MP, Maldini C, Guillevin L, Mahr A. HLA-B51/B5 and the risk of Behcet's disease: A systematic review and meta-analysis of case-control genetic association studies. Arthritis Rheum 2009; 61: 1287-96. [CrossRef]

(46.) Yabuki K, Mizuki N, Ota M, et al. Association of MICA gene and HLA-B* 5101 with Behcet's disease in Greece. Invest Ophthalmol Vis Sci 1999; 40: 1921-6.

(47.) Kirino Y, Bertsias G, Ishigatsubo Y, et al. Genome-wide association analysis identifies new susceptibility loci for Behcet's disease and epistasis between HLA-B*51 and ERAP1. Nat Genet 2013; 45: 202-7. [CrossRef]

(48.) Meguro A, Inoko H, Ota M, et al. Genetics of Behcet's disease inside and outside the MHC. Ann Rheum Dis 2010; 69: 747-54. [CrossRef]

(49.) Remmers EF, Cosan F, Kirino Y, et al. Genome-wide association study identifies variants in the MHC class I, IL10, and IL23R-IL12RB2 regions associated with Behcet's disease. Nat Genet 2010; 42: 698-702. [CrossRef]

(50.) Touma Z, Farra C, Hamdan A, et al. TNF polymorphisms in patients with Behcet disease: a meta-analysis. Arch Med Res 2010; 41: 142-6.[CrossRef]

Eda Tahir Turanli (1), Elif Everest (2), Ayse Balamir (2), Asli Kiregtepe Aydin (2), Ozgur Kasapgopur (3)

(1) Division of Molecular Biology and Genetics, Istanbul Technical University Faculty of Sicence and Literature, Istanbul, Turkey

(2) Molecular Biology-Genetics and Biotechnology Program MOBGAM, Istanbul Technical University Faculty of Sciences, Istanbul, Turkey

(3) Department of Pediatrics, Division of Pediatric Rheumatology, Istanbul University Cerrahpasa Medical Faculty, Istanbul, Turkey

Address for Correspondence: Eda Tahir Turanli E-mail:

Received: 07.11.2016

Accepted: 15.11.2016

DOI: 10.5152/TurkPediatriArs.2017.4953

Cite this article as: Tahir Tunali E, Everest E, Balamir A, Kiregtepe Aydin A, Kasapgopur O. Role of genetics in pediatric rheumatology. Turk Pediatri Ars 2017; 52: 113-21.
Table 2. Commonly used methods in the genetic diagnosis of hereditary
autoinflammatory diseases

Test            Principal of the method   Scope

Strip-          PCR or reverse            Screening of
assay           hybridization             approximately
                only for                  10-30 known
                previously                variants
                defined variants
Sanger          Exon-intron (meanly       Ability to detect
sequencing      500 base pairs)           all variants in the
                chain termination-        selected region
                based sequencing
                PCR for desired
                regions and reading on
                automated capillary
                DNA device
Next-           Use of pyrosequencing,    Ability to analyse

generation      reverse termination or    a whole gene
sequencing      native nucleotides in     and all genes
                sequencing principle

Test            Advantages                Disadvantages

Strip-          * Inexpensive             * Increased probability of
assay           * Quick (in 1-2 days)     erroneous result
                * No requirement for      * Ability to screen a low
                too much expertise        number of variants

Sanger          * Ability to obtain       * Requirement for
sequencing      a result in a mean        expertise in reading
                period of two weeks       and interpretation
                * Awailability of         of the results
                automated DNA             * Probability of erroneous
                analysis in developed     readings and repetitions
                laboratories              * Expensive for large gene
                * A broad scope           regions and multiple genes
Next-           * Ability to obtain       * Expensiveness
                results in 2-10           * Requirement for
generation      days depending on         special device
sequencing      the system used           * Requirement for
                * Imaging of              expertise
                all variants at           in bioinformatics
                the same time             and genetics
                * Low probability of
                erroneous results
                given by the individual
                who performs the test

Test            Reference

Strip-          4

Sanger          5

Next-           6


PCR: polymerase chain reaction
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2017 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Author:Turanli, Eda Tahir; Everest, Elif; Balamir, Ayse; Aydin, Asli Kiregtepe; Kasapgopur, Ozgur
Publication:Turkish Pediatrics Archive
Article Type:Report
Date:Sep 1, 2017
Previous Article:Editorial.
Next Article:Research of genetic bases of hereditary non-syndromic hearing loss.

Terms of use | Privacy policy | Copyright © 2019 Farlex, Inc. | Feedback | For webmasters