Replication of KIAA0350, IL2RA, RPL5 and CD58 as multiple sclerosis susceptibility genes in Australians

SOCS-JAK-STAT inhibitors and SOCS mimetics as treatment options for autoimmune uveitis, psoriasis, lupus, and autoimmune encephalitis

Autoimmune diseases arise from atypical immune responses that attack self-tissue epitopes, and their development is intricately connected to the disruption of the JAK-STAT signaling pathway, where SOCS proteins play crucial roles. Conditions such as autoimmune uveitis, psoriasis, lupus, and autoimmune encephalitis exhibit immune system dysfunctions associated with JAK-STAT signaling dysregulation. Emerging therapeutic strategies utilize JAK-STAT inhibitors and SOCS mimetics to modulate immune responses and alleviate autoimmune manifestations. Although more research and clinical studies are required to assess their effectiveness, safety profiles, and potential for personalized therapeutic approaches in autoimmune conditions, JAK-STAT inhibitors and SOCS mimetics show promise as potential treatment options. This review explores the action, effectiveness, safety profiles, and future prospects of JAK inhibitors and SOCS mimetics as therapeutic agents for psoriasis, autoimmune uveitis, systemic lupus erythematosus, and autoimmune encephalitis. The findings underscore the importance of investigating these targeted therapies to advance treatment options for individuals suffering from autoimmune diseases.

CLEC16A-An Emerging Master Regulator of Autoimmunity and Neurodegeneration

CLEC16A is emerging as an important genetic risk factor for several autoimmune disorders and for Parkinson disease (PD), opening new avenues for translational research and therapeutic development. While the exact role of CLEC16A in health and disease is still being elucidated, the gene plays a critical role in the regulation of autophagy, mitophagy, endocytosis, intracellular trafficking, immune function, and in biological processes such as insulin secretion and others that are important to cellular homeostasis. As shown in both human and animal modeling studies, CLEC16A hypofunction predisposes to both autoinflammatory phenotype and neurodegeneration. While the two are clearly related, further functional studies are needed to fully understand the mechanisms involved for optimized therapeutic interventions. Based on recent data, mitophagy-inducing drugs may be warranted, and such therapy should be tested in clinical trials as these drugs would tackle the underlying pathogenic mechanism (s) and could treat or prevent symptoms of autoimmunity and neurodegeneration in individuals with CLEC16A risk variants. Accordingly, interventions directed at reversing the dysregulated mitophagy and the consequences of loss of function of CLEC16A without activating other detrimental cellular pathways could present an effective therapy. This review presents the emerging role of CLEC16A in health and disease and provides an update on the disease processes that are attributed to variants located in the CLEC16A gene, which are responsible for autoimmune disorders and neurodegeneration with emphasis on how this information is being translated into practical and effective applications in the clinic.

Analysis of herpesvirus infection and genome single nucleotide polymorphism risk factors in multiple sclerosis, Volga federal district, Russia

Multiple sclerosis (MS) is a heterogeneous disease where herpesvirus infection and genetic predisposition are identified as the most consistent risk factors. Serum and blood samples were collected from 151 MS and 70 controls and used to analyze circulating antibodies for, and DNA of, Epstein Barr virus (EBV), human cytomegalovirus (HCMV), human herpes virus 6 (HHV6), and varicella zoster virus (VZV). The frequency of selected single nucleotide polymorphisms (SNPs) in MS and controls were studied. Herpesvirus DNA in blood samples were analyzed using qPCR. Anti-herpesvirus antibodies were detected by ELISA. SNPs were analyzed by the allele-specific PCR. For statistical analysis, Fisher exact test, odds ratio and Kruskall-Wallis test were used; p<0.05 values were considered as significant. We have found an association between circulating anti-HHV6 antibodies and MS diagnosis. We also confirmed higher frequency of A and C alleles in rs2300747 and rs12044852 of CD58 gene and G allele in rs929230 of CD6 gene in MS as compared to controls. Fatigue symptom was linked to AC and AA genotype in rs12044852 of CD58 gene. An interesting observation was finding higher frequency of GG genotype in rs12722489 of IL2RA and T allele in rs1535045 of CD40 genes in patient having anti-HHV6 antibodies. A link was found between having anti-VZV antibodies in MS and CC genotype in rs1883832 of CD40 gene.

Interleukin 32 gene promoter polymorphism: A genetic risk factor for multiple sclerosis in Kashmiri population

OBJECTIVE

Although the exact cause of multiple sclerosis is not known, there are a number of factors involved mainly environmental and genetic factors. The present study was done to determine association between IL-32 gene promoter polymorphism and IL-32 levels with multiple sclerosis.

METHODS

48 relapsing remitting multiple sclerosis patients and 60 healthy controls were compared for IL-32 gene promoter polymorphism and IL-32 levels.

RESULTS

There was no significant difference in genotype CT between the MS patients and healthy controls (p 0.130) where as a significant difference in genotype (CC) frequencies among MS patients and healthy controls (p 0.039) was observed. The difference in C allele frequency was also statistically significant between two study groups (p 0.01). Multivariate regression analysis revealed that the CC genotype might impact the risk of disease susceptibility up to 3.71 times and the presence of C allele might increase the risk of susceptibility to multiple sclerosis by 2.26 fold. The serum IL-32 levels were not statistically different multiple sclerosis patients and healthy controls and between wild and mutant genotypes.

CONCLUSIONS

IL-32 gene promoter polymorphism is a genetic risk factor for multiple sclerosis patients particularly women.

Genetic Variants of RPL5 and RPL9 Genes among Saudi Patients Diagnosed with Thrombosis

BACKGROUND

Thrombosis directly affects the quality of life with increased mortality. The RPL5 (L5) gene on intron 6 on chromosome 1p22, rs6604026 is associated with multiple sclerosis risk, whereas RPL9 (L9) on 8 exons on chromosome 4p14 has been documented so far as being an essential involvement in the proliferation of protein synthesized cells mostly by gene products.

OBJECTIVE

The aim of this work was to assess genetic variants of RPL5 and RPL9 and thrombosis to characterize their role in the diagnosis of thrombosis among the Saudi population.

METHODS

The cross-sectional study involved 100 Saudi patients diagnosed with thrombosis (arterial or venous) in 50 healthy individuals as controls in the same age and sex groups. Primers were designed RPL5 and RPL9 for molecular analysis. The Sanger System ABI-3730xL (Hong Kong) automatic sequencing was used for DNA sequencing. Statistical analysis was performed using the Prism 5 and SPSS version-21 programs.

RESULTS

The male / female age ratio was 66.7 / 57.4, and the mean age was 61.2 years. Most of the patients were self-identifiable and without a previous history of thrombosis (61.0%). Most of the patients had just been diagnosed, that is, in the last five years (74.0%), about 43% of the patients underwent treatment using combination therapy (Aspirin and oral anticoagulants). New gene variants of RPL5 (5 SNPs) and RPL9 (9 SNPs) were detected in Saudi thrombotic patients.

CONCLUSION

Mutations in RPL5 and RPL9 were reported in all thrombotic patients, represented by a new variant of the ribosomal protein gene and correlated with thrombosis in the Saudi population. These results may reflect an association between the ribosomal protein SNP gene and the incidence and progression of thrombosis in the Saudi population.

Soluble IL-7Rα/sCD127 in Health, Disease, and Its Potential Role as a Therapeutic Agent

Soluble cytokine receptors can influence immune responses by modulating the biological functions of their respective ligands. These effects can be either agonistic or antagonistic and a number of soluble cytokine receptors have been shown to play critical roles in both maintenance of health and disease pathogenesis. Soluble IL-7Ra (sCD127) is one such example. With its impact on the IL-7/CD127 pathway, which is fundamental for the development and homeostasis of T cells, the role of sCD127 in health and disease has been extensively studied in recent years. Within this review, the role of sCD127 in maintaining host immune function is presented. Next, by addressing genetic factors affecting sCD127 expression and the associated levels of sCD127 production, the roles of sCD127 in autoimmune disease, infections and cancer are described. Finally, advances in the field of soluble cytokine therapy and the potential for sCD127 as a biomarker and therapeutic agent are discussed.

Association between IL7 Receptor Alpha (Il7ra) gene rs6897932 polymorphism and the risk of Multiple Sclerosis: A meta-regression and meta-analysis

BACKGROUND

In this systematic review and meta-analysis, we aimed to find a consistent conclusion for the association between the interleukin 7 receptor alpha (IL7RA) gene rs6897932 single nucleotide polymorphism (SNP) and multiple sclerosis (MS) risk.

METHODS

Here, we performed a comprehensive systematic search in PubMed, Scopus, and Web of Science to find relevant studies published before November 2020 investigating the association between rs6897932 SNP and MS risk. In the pooled analysis, we determined the odds ratio (OR) and the corresponding 95% confidence interval (CI) for the association level between rs6897932 SNP and the risk of MS.

RESULTS

In the current meta-analysis 33 case-control studies (30 articles) containing 19351 patients and 21005 healthy controls certify the inclusion criteria. According to the pooled analysis, a statistically significant association of IL7RA gene rs6897932 SNP with MS risk was found across recessive model (OR= 0.84, 95% CI= 0.77-0.92, P< 0.001, FEM), allelic model (OR= 0.91, 95% CI= 0.85-0.99, P= 0. 02, REM), TT vs. CC model (OR= 0.79, 95% CI= 0.67-0.93, P= 0.005, REM). Moreover, the subgroup analysis based on the ethnicity indicated a negative significant association in Europeans; dominant model (OR= 0.88, 95% CI= 0.78-1.01, P= 0.06, REM), recessive model (OR= 0.79, 95% CI= 0.71-0.88, P< 0.001, REM), allelic model (OR= 0.88, 95% CI= 0.81-0.96, P= 0.003, REM), TT vs. CC model (OR= 0.74, 95% CI= 0.61-0.88, P<0.001, REM) models. Nonetheless, no significant association was detected in Asians and Americans.

CONCLUSIONS

IL7RA gene rs6897932 SNP decreases MS susceptibility in overall population and Europeans.

Association of HLA-DRA and IL2RA Polymorphisms with the Severity and Relapses Rate of Multiple Sclerosis in an Iranian Population

Background

Multiple sclerosis (MS) is a multifactorial condition in which many genetic and environmental factors interfere. The association between genes involved in the immune system and MS was previously reported. The aims of this study were to evaluate 14 SNPs of HLA-DRA, 14 SNPs of IL2RA with severity of MS through Expanded Disability Status Scale (EDSS) and Annualized Relapse Rate (ARR).

Methods

102 patients with MS referred to Sina hospital in Tehran, Iran, were diagnosed and studied based on McDonald's guideline, clinical signs, and brain imaging procedures. All patients were included in the study following informed consent. Genotyping study of 14 variants in the HLA-DRA, and 14 variants in IL2RA was conducted by Sanger sequencing. Disease outcomes including EDSS and ARR were registered. Outcome measures between different genotypes of each SNPs were compared separately.

Results

Among 14 SNPs in IL 2RA the genotypes of rs12722489 showed a significant association with ARR in two consecutive years. Mean ARR1 was 1.06±1.12, 0.20±0.34 and 0.31±.50 for AA, GA, and GG genotypes, respectively (p value= 0.008). Mean ARR2 was 1.5±1.08, 0.28±0.40, and 0.42±0.55 for AA, GA, and GG, respectively (p value= 0.001). Regression analysis showed a significant association between rs12722489 with ARR1 and ARR2, removing the potential confounding mediators. No significant association was found between SNPs in HLA-DRA with the attack rate and severity of MS.

Conclusion

The rs12722489 of IL-2RA has an association with ARR, but not with EDSS.

Adaptive Fisher method detects dense and sparse signals in association analysis of SNV sets

BACKGROUND

With the development of next generation sequencing (NGS) technology and genotype imputation methods, statistical methods have been proposed to test a set of genomic variants together to detect if any of them is associated with the phenotype or disease. In practice, within the set, there is an unknown proportion of variants truly causal or associated with the disease. There is a demand for statistical methods with high power in both dense and sparse scenarios, where the proportion of causal or associated variants is large or small respectively.

RESULTS

We propose a new association test - weighted Adaptive Fisher (wAF) that can adapt to both dense and sparse scenarios by adding weights to the Adaptive Fisher (AF) method we developed before. Using simulation, we show that wAF enjoys comparable or better power to popular methods such as sequence kernel association tests (SKAT and SKAT-O) and adaptive SPU (aSPU) test. We apply wAF to a publicly available schizophrenia dataset, and successfully detect thirteen genes. Among them, three genes are supported by existing literature; six are plausible as they either relate to other neurological diseases or have relevant biological functions.

CONCLUSIONS

The proposed wAF method is a powerful disease-variants association test in both dense and sparse scenarios. Both simulation studies and real data analysis indicate the potential of wAF for new biological findings.

Association of CD58 Polymorphisms and its Protein Expression with the Development and Prognosis of Autoimmune Thyroid Diseases

The prognosis of autoimmune thyroid diseases (AITDs), including Graves' disease (GD) and Hashimoto's disease (HD), varies among patients. The interaction of CD58 and its ligand (CD2) promotes the differentiation of regulatory T cells and suppresses the immune response. To clarify the association of CD58 expression with the pathogenesis and prognosis of AITDs, we genotyped polymorphisms in the CD58 gene including rs12044852A/C (SNP1), rs2300747A/G (SNP2), rs1335532C/T (SNP3), rs1016140G/T (SNP4), rs1414275C/T (SNP5) and rs11588376C/T (SNP6). The CD58 SNPs were genotyped in 177 GD patients, 193 HD patients and 116 healthy volunteers (control subjects). We used the Polymerase chain reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) method for the genotyping of SNP1 and SNPs3-6 and the TaqMan® SNP genotyping assay for the genotyping of SNP2. The frequencies of the AA genotype in SNP1 tend to be high in all patients with AITDs than in control subjects, although it was not significant. The GG genotype of SNP2, the CC genotype of SNP3, the TT genotype of SNP4, the CC genotype of SNP5 and the CC genotype of SNP6 were all significantly more frequent in patients with AITDs than in control subjects. The proportion of CD58⁺ cells in monocytes was significantly lower in healthy individuals with each of these risk genotypes of AITDs and lower in GD and HD patients than that in healthy controls. In conclusion, CD58 SNPs are involved in AITD susceptibility through the reduction in CD58 expression, which probably suppresses regulatory T cells.

Long noncoding RNA Malat1 regulates differential activation of macrophages and response to lung injury

Macrophage activation, i.e., classical M1 and the alternative M2, plays a critical role in many pathophysiological processes, such as inflammation and tissue injury and repair. Although the regulation of macrophage activation has been under extensive investigation, there is little knowledge about the role of long noncoding RNAs (lncRNAs) in this event. In this study, we found that lncRNA Malat1 expression is distinctly regulated in differentially activated macrophages in that it is upregulated in LPS-treated and downregulated in IL-4-treated cells. Malat1 knockdown attenuates LPS-induced M1 macrophage activation. In contrast, Malat1 knockdown enhanced IL-4-activated M2 differentiation as well as a macrophage profibrotic phenotype. Mechanistically, Malat1 knockdown led to decreased expression of Clec16a, silencing of which phenocopied the regulatory effect of Malat1 on M1 activation. Interestingly, Malat1 knockdown promoted IL-4 induction of mitochondrial pyruvate carriers (MPCs) and their mediation of glucose-derived oxidative phosphorylation (OxPhos), which was crucial to the Malat1 regulation of M2 differentiation and profibrotic phenotype. Furthermore, mice with either global or conditional myeloid knockout of Malat1 demonstrated diminished LPS-induced systemic and pulmonary inflammation and injury. In contrast, these mice developed more severe bleomycin-induced lung fibrosis, accompanied by alveolar macrophages displaying augmented M2 and profibrotic phenotypes. In summary, we have identified what we believe is a previously unrecognized role of Malat1 in the regulation of macrophage polarization. Our data demonstrate that Malat1 is involved in pulmonary pathogeneses in association with aberrant macrophage activation.

Meta-analysis of the association of IL2RA polymorphisms rs2104286 and rs12722489 with multiple sclerosis risk

BACKGROUND

The interleukin-2 receptor alpha (IL2RA) gene polymorphisms may be implicated in the genetic susceptibility to multiple sclerosis (MS). This meta-analysis aims to evaluate the relationship of the IL2RA polymorphisms rs2104286 and rs12722489 with MS risk in different populations.

METHODS

Eligible association studies were identified through search in Pubmed, Medline, Web of Science, and Scopus (end of search: August 2017). Summary odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using random-effects or fixed-effects models. All statistical analyses were two-sided.

RESULTS

Eleven studies including 8608 cases and 9061 controls evaluated rs2104286. The results demonstrated that the A allele of rs2104286 was associated with increased risk of MS in Caucasians (OR = 1.19, 95%CI: 1.13-1.25, p < 0.001) and Asians (OR = 1.25, 95%CI: 1.01-1.55, p = 0.041), respectively. Concerning rs12722489, six studies with 4259 cases and 5420 controls were eligible. We found that the C allele of rs12722489 was associated with elevated MS risk in Caucasians (OR = 1.20, 95% CI: 1.12-1.29, p < 0.001) but not in Asians (OR = 1.10, 95%CI: 0.75-1.63, p = 0.629). Statistical evidence from the Egger and Begg tests showed absence of publication bias. Sensitivity analysis showed that the results were stable.

CONCLUSION

Our meta-analysis suggests that the rs2104286 A allele is associated with increased MS risk in both Caucasians and Asians, whereas the rs12722489 C allele is associated with elevated MS risk in Caucasians but not in Asians.

Interleukin-2 receptor-α proximal promoter hypomethylation is associated with multiple sclerosis

Genetic studies have demonstrated association between single-nucleotide polymorphisms within the IL2RA (interleukin-2 receptor α-subunit) gene and risk of developing multiple sclerosis (MS); however, these variants do not have obvious functional consequences. DNA methylation is a source of genetic variation that could impact on autoimmune disease risk. We investigated DNA methylation of the IL2RA promoter in genomic DNA obtained from peripheral blood mononuclear cells and neural tissue using matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry. A differential methylation profile of IL2RA was identified, suggesting that IL2RA expression was regulated by DNA methylation. We extended our analysis of DNA methylation to peripheral blood mononuclear cell (PBMC) of MS cases and controls using MALDI-TOF and Illumina HumanMethylation450 arrays. Analyses of CpG sites within the proximal promoter of IL2RA in PBMC showed no differences between MS cases and controls despite an increase in IL2RA expression. In contrast, we inferred significant DNA methylation differences specific to particular leukocyte subtypes in MS cases compared with controls by deconvolution of the array data. The decrease in methylation in patients correlated with an increase in IL2RA expression in T cells from MS cases in comparison with controls. Our data suggest that differential methylation of the IL2RA promoter in T cells could be an important pathogenic mechanism in MS.

Association of EVI5 rs11808092, CD58 rs2300747, and CIITA rs3087456 polymorphisms with multiple sclerosis risk: A meta-analysis

Purpose

Multiple sclerosis (MS) is a major demyelinating disease of the central nervous system with a strong genetic component. Previous studies have reported that the association of EVI5 rs11808092, CD58 rs2300747, and CIITA rs3087456 polymorphisms with the susceptibility to MS. However, the results were inconsistent. Thus, we conducted this meta-analysis to provide a more accurate estimation of the association between any of these polymorphisms and MS risk.

Methods

The PubMed, Embase, Chinese National Knowledge Infrastructure, Wan Fang databases and MSGene were used to search all potentially relevant studies. The odds ratio (OR) with 95% confidence interval (CI) was used to investigate the associations between these three polymorphisms and MS risk.

Results

16 independent case–control studies from 12 publications were finally included into this meta-analysis. The results showed that EVI5 rs11808092 polymorphism was related with increasing the development of MS under five genetic models (allelic: OR = 1.17, 95% CI = 1.10–1.24, P < 0.01; homozygous: OR = 1.37, 95% CI = 1.18–1.59, P < 0.01; heterozygous: OR = 1.16, 95% CI = 1.07–1.26, P < 0.01; recessive: OR = 1.28, 95% CI = 1.11–1.48, P < 0.01; and dominant: OR = 1.19, 95% CI = 1.11–1.48, P < 0.01). CD58 rs2300747 polymorphism was found to be associated with decreasing MS risk in three genetic models (allelic: OR = 0.86, 95% CI = 0.78–0.94, P < 0.01; heterozygous: OR = 0.85, 95% CI = 0.76–0.94, P < 0.01, and dominant: OR = 0.84, 95% CI = 0.76–0.93, P < 0.01). However, this meta-analysis indicated that CIITA rs3087456 polymorphism was not related to multiple sclerosis.

Conclusions

The mutant alleles of EVI5 rs11808092 polymorphism may increase the susceptibility to MS while those of CD58 rs2300747 polymorphism may decrease MS risk. In addition, CIITA rs3087456 polymorphism might not be associated with MS.

CD6 gene polymorphism rs17824933 is associated with multiple sclerosis in Indian population

Background:

Multiple sclerosis (MS) prevalence has increased worldwide. The known genetic association for MS in the west has not been studied in detail in nonwhite populations and particularly Indians.

Objective:

The objective of this study was to evaluate some known genetic variations outside the major histocompatibility complex (MHC) region associated with MS in patients of Indian origin.

Materials and Methods:

We investigated 10 gene-associated single nucleotide polymorphisms (SNP's) outside the MHC region in 300 patients and 720 unrelated controls. Genotyping was performed on an ABI7500 real-time polymerase chain reaction genotyping platform using predesigned TaqMan SNP genotyping assays.

Results:

CD6 gene associated SNP (rs17824933) showed significant association with MS (P = 4.2 × 10⁻⁵, odds ratio [OR] = 2.24, confidence interval (CI) = 1.51–3.33). A modest association was also noted for TMEM39A rs1132200 (P = 0.023, OR = 1.41, CI = 1.05–1.91) and IL2RA rs2104286 (P = 0.04, OR = 1.3, CI = 1.006–1.67). In the remaining SNPs, the allele frequencies were overexpressed in patients when compared to healthy controls.

Conclusion:

Our data illustrate the similarity in risk association between Indian and European populations for MS.

Systemic Lupus Erythematosus Patients Exhibit Reduced Expression of CLEC16A Isoforms in Peripheral Leukocytes

Systemic lupus erythematosus (SLE) is a prototypic autoimmune disease with multiple etiological factors. The SLE susceptibility locus on chromosome 16p13 encodes a novel gene CLEC16A and its functional relationship with SLE is unclear. This study aimed to investigate the expression correlation of the two major CLEC16A spliced transcripts with SLE development. Expressions of the long (V1) and short (V2) CLEC16A isoforms in the peripheral blood mononuclear cells (PBMCs) were assayed by quantitative real time PCR and compared between healthy individuals and SLE patients. Correlation of CLEC16A isoform expression levels with SLE susceptibility, disease severity and twelve clinical parameters were also evaluated. Full length transcripts of CLEC16A V1 and V2 isoforms were readily amplified from PBMCs of healthy controls and patients at varying abundance. Compared with healthy controls (n = 86), expression levels of V1 and V2 were significantly reduced by ~two- and four-fold respectively in SLE patients (n = 181). The relative V2/V1 ratio was also significantly reduced by approximately two-fold. With regard to SLE disease parameters, only a weak positive correlation was found between CLEC16A V1 expression levels and SLE disease activity index (SLEDAI) score. Taken together, CLEC16A was found to be a susceptibility factor for SLE, with possible contribution to the development of the disease.

Gut commensalism, cytokines, and central nervous system demyelination

There is increasing support for the importance of risk factors such as genetic makeup, obesity, smoking, vitamin D insufficiency, and antibiotic exposure contributing to the development of autoimmune diseases, including human multiple sclerosis (MS). Perhaps the greatest environmental risk factor associated with the development of immune-mediated conditions is the gut microbiome. Microbial and helminthic agents are active participants in shaping the immune systems of their hosts. This concept is continually reinforced by studies in the burgeoning area of commensal-mediated immunomodulation. The clinical importance of these findings for MS is suggested by both their participation in disease and, perhaps of greater clinical importance, attenuation of disease severity. Observations made in murine models of central nervous system demyelinating disease and a limited number of small studies in human MS suggest that immune homeostasis within the gut microbiome may be of paramount importance in maintaining a disease-free state. This review describes three immunological factors associated with the gut microbiome that are central to cytokine network activities in MS pathogenesis: T helper cell polarization, T regulatory cell function, and B cell activity. Comparisons are drawn between the regulatory mechanisms attributed to first-line therapies and those described in commensal-mediated amelioration of central nervous system demyelination.

Where is the causal variant? On the advantage of the family design over the case-control design in genetic association studies

Many associated single-nucleotide polymorphisms (SNPs) have been identified by association studies for numerous diseases. However, the association between a SNP and a disease can result from a causal variant in linkage disequilibrium (LD) with the considered SNP. Assuming that the true causal variant is among the genotyped SNPs, other authors demonstrated that the power to discriminate between it and other SNPs in LD is low. Here, we propose to take advantage of the information provided by family data to improve the inference on the causal variant: we exploit the linkage information provided by affected sib pairs to discriminate the causal variant from the associated SNPs. The family-based approach improves discrimination power requiring up to five times less individuals than its case-control equivalent. However, the main advantage of family design is the possibility to carry out the procedure one step further: the linkage information allows inference on causal variants, which are not genotyped but in LD with tag-SNPs displaying association, which is impossible with case-control design. By means of Bayesian methods, we estimate the LD between the observed SNPs and an unobserved causal variant, as well as the allelic odds ratio at the unobserved causal variant. The proposed procedure is illustrated on a multiple sclerosis (MS) family data set including genotypes of SNPs in IL2RA, confirming the advantage of using a family design to identify causal variants. The results of our method on this data suggest the existence of two distinct causal variants in this gene for the MS.

Association of CD58 Polymorphism with Multiple Sclerosis and Response to Interferon ß Therapy in A Subset of Iranian Population

Objective

Multiple sclerosis (MS) is one of the leading neurodegenerative causes of physical disability world-wide. Genetic aberrations of autoimmunity pathway components have been demonstrated to significantly influence MS development. Cluster of Differentiation 58 (CD58) is pertained to a group of genes which had been assayed in several recent association studies. Given the significance of CD58 in modulation of T regulatory cells that control autoimmune responses, the present study was conducted to investigate the frequency of rs12044852 polymorphism and its effect on the outcome of interferon beta (IFN-β) therapy in a subset of Iranian MS patients.

Materials and Methods

Two hundred MS patients and equal number of healthy controls were recruited to be genotyped in an experimental case-control based study through polymerase chain reaction using specific sequence primers (PCR-SSP). Relapsing remitting multiple sclerosis (RRMS) patients administered IFN-β therapy were followed up with clinical visits every three months up to two years. The mean of multiple sclerosis severity score (MSSS) and expanded disability status scale (EDSS) were measured to monitor the change in severity of MS in response to IFN-β therapy. Pearson’s Chi-square and analysis of variance (ANOVA) tests were the main statistical methods used in this study.

Results

Strong association was found between the CC genotype and onset of MS (p=0.001, OR=2.22). However, there was no association between rs12044852 and various classifications and severity of MS. Pharmacogenetics-based analysis indicated that carriers of CC genotype had the highest MSSS score compared to others, implying a negative impact of rs12044852 on response to IFN-β therapy.

Conclusion

Taken together, our findings revealed the critical effect of rs12044852 polymorphism of CD58 on the progression of MS disease. This indicates that genotyping of MS patients may expedite achieving personalized medical management of MS patients.

The human IL-23 receptor rs11209026 A allele promotes the expression of a soluble IL-23R-encoding mRNA species

The human IL23R gene single nucleotide polymorphism rs11209026 A allele confers protection against inflammatory diseases. However, although this difference has been associated with reductions in IL-23-induced IL-17A production and STAT3 phosphorylation, the molecular mechanism underlying these changes remains undefined. Th17 cell maturation depends on IL-23 signaling. Multiple splice forms of the human IL23R transcript exist, and one, Δ9, encodes a soluble form of the receptor. In this study, we asked whether this protective allele was associated with mRNA splicing. Using mini-gene constructs and competitive oligonucleotide binding, we showed that the A allele alters IL-23R α-chain mRNA splicing and favors exon 9 skipping by reducing the binding of the splicing enhancer SF2. This enhances expression of the Δ9 mRNA and consequently diminishes IL-23 signaling. Thus, the presence of the A allele increases expression of the soluble form of IL23R mRNA (which then functions as a decoy receptor) and lowers the ability to develop a Th17 phenotype upon IL-23 stimulation. We further showed that antisense oligonucleotides targeting the SF2 binding site could efficiently induce exon 9 skipping in the presence of the G allele, and thereby replicate the effect of the A allele. Antisense oligonucleotide treatment caused dose-responsive induction of the IL23RΔ9 mRNA and interfered with in vitro differentiation of human Th17 cells, reducing their expression of the signature Th17 cytokines IL-17A and IL-17F. This may represent a novel approach to therapy of Th17-mediated diseases by elevating soluble IL-23R while simultaneously reducing the remaining cell surface receptor density.

CD58 polymorphisms associated with the risk of neuromyelitis optica in a Korean population

BACKGROUND

Neuromyelitis optica (NMO) is a serious inflammatory demyelinating disease (IDD), characterized by the inflammation and demyelination of optic nerves and spinal cords, which subsequently leads to the loss of function. In a previous genome-wide association study, cluster of differentiation 58 (CD58) region was found to be susceptible for the risk of multiple sclerosis (MS) in Caucasian, and the association between CD58 variants and MS was replicated in Americans. However, no study has been conducted to explore the possible association between CD58 and NMO yet. Thus, this study aimed to investigate the association of CD58 polymorphisms with the risk of NMO in a Korean population.

METHODS

Using TaqMan assay, 6 single nucleotide polymorphisms (SNPs) were genotyped in 98 NMO patients and 237 normal controls (N = 336). Logistic regression analysis was conducted to find a possible association between CD58 polymorphisms and NMO.

RESULTS

The analysis results showed that 6 variations (rs2300747, rs1335532, rs12044852, rs1016140, CD58_ht1, and CD58_ht3) showed significant associations (P = 0.002 ~ 0.008, P(corr) = 0.01 ~ 0.04).

CONCLUSION

The genetic variations in CD58 may be associated with the susceptibility of NMO in a Korean population. Based on previous studies, we suspect that the A allele of rs2300747 may decrease CD58 RNA expression, thus increasing NMO risk. Also, we deduced that the G allele of rs1016140 caused an increase of T cell activity, which in turn eased the access of AQP4 antibody into central nervous system (CNS) and ultimately leading to NMO development.

Multiple sclerosis genetics

Familial aggregation and the studies of twins indicate that heredity contributes to multiple sclerosis (MS) risk. Immunologic studies of leukocyte antigens subsequently followed by gene-mapping techniques identified the primary MS susceptibility locus to be within the major histocompatibility complex (MHC). The primary risk allele is HLA-DRB1*15, although other alleles of this gene also influence MS susceptibility. Other genes within the MHC also contribute to MS susceptibility. Genome-wide association studies have identified over 50 additional common variants of genes across the genome. Estimates suggest that there may be as many as 200 genes involved in MS susceptibility. In addition to these common polymorphisms, studies have identified several rare risk alleles in some families. Interestingly, the majority of the genes identified have known immunologic functions and many contribute to the risk of inheriting other autoimmune diseases. Genetic variants in the vitamin D metabolic pathway have also been identified. That vitamin D contributes to MS susceptibility as both an environmental as well as genetic risk factor underscores the importance of this metabolic pathway in disease pathogenesis. Current efforts are focused on understanding how the myriad of genetic risk alleles interact within networks to influence MS risk at family level as well as within populations.

Autoimmune T-cell reactivity to myelin proteolipids and glycolipids in multiple sclerosis

Central nervous system (CNS) myelin, the likely major target of autoimmune attack in multiple sclerosis (MS), contains a number of unique components that are potential targets of the attack. Two classes of molecules that are greatly enriched in CNS myelin compared to other parts of the body are certain types of proteolipids and glycolipids. Due to the hydrophobic nature of both of these classes of molecules, they present challenges for use in immunological assays and have therefore been somewhat neglected in studies of T-cell reactivity in MS compared to more soluble molecules such as the myelin basic proteins and the extracellular domain of myelin oligodendrocyte glycoprotein. This review firstly looks at the makeup of CNS myelin, with an emphasis on proteolipids and glycolipids. Next, a retrospective of what is known of T-cell reactivity directed against proteolipids and glycolipids in patients with MS is presented, and the implications of the findings are discussed. Finally, this review considers the question of what would be required to prove a definite role for autoreactivity against proteolipids and glycolipids in the pathogenesis of MS.

The influence of non-HLA gene polymorphisms and interactions on disease risk in a Western Australian multiple sclerosis cohort

Non-Human Leukocyte Antigen (HLA) genes have concomitant, although modest, effects on multiple sclerosis (MS) susceptibility; however findings have varied in different populations. Here we present the results of an association study of 16 single nucleotide polymorphisms (SNPs) in 10 non-HLA genes (IL7R, IL2RA, CLEC-16A, TYK2, CD58, IRF5, STAT3, CTLA-4, APOE, ICAM-1) in a Western Australian cohort of 350 MS patients and 498 population control subjects. Our results indicate that in this population, SNPs in IL7R, TYK2, IRF5 and APOE have modifying effects on MS susceptibility. We also found evidence of interactive protective effects between polymorphisms in the IL7R/CD58, CLEC-16A/CTLA-4, and TYK2/IRF5 genes, which in some instances are restricted within HLA- or gender-defined groups.

From Identification to Characterization of the Multiple Sclerosis Susceptibility Gene CLEC16A

Multiple sclerosis (MS) is an inflammatory, demyelinating disorder of the central nervous system that develops in genetically susceptible individuals, probably triggered by common environmental factors. Human leukocyte antigen (HLA) loci were early shown to confer the strongest genetic associations in MS. Now, more than 50 non-HLA MS susceptibility loci are identified, of which the majority are located in immune-regulatory genes. Single nucleotide polymorphisms (SNPs) in the C-type lectin-like domain family 16A (CLEC16A) gene were among the first non-HLA genetic variants that were confirmed to be associated with MS. Fine-mapping has indicated a primary association in MS and also other autoimmune diseases to intronic CLEC16A SNPs. Here, we review the identification of MS susceptibility variants in the CLEC16A gene region, functional studies of the CLEC16A molecule and the recent progress in understanding the implications thereof for MS development. This may serve as an example of the importance for further molecular investigation of the loci identified in genetic studies, with the aim to translate this knowledge into the clinic.

Multiple sclerosis-associated single-nucleotide polymorphisms in CLEC16A correlate with reduced SOCS1 and DEXI expression in the thymus

Genome-wide association studies have revealed that the 16p13 chromosomal region, including CLEC16A, DEXI, CIITA and SOCS1, is associated with susceptibility to autoimmune diseases. As non-coding single-nucleotide polymorphisms (SNPs) may confer susceptibility to disease by affecting expression of nearby genes, we examined whether autoimmune-associated intronic CLEC16A SNPs (rs12708716, rs6498169 and rs7206912) correlate with the expression of CLEC16A itself as well as neighboring genes in whole-blood and thymic samples. Real-time quantitative PCR analyses show that SOCS1 and DEXI expression was lower in thymic samples carrying at least one of the CLEC16A risk alleles compared with non-carriers of the risk allele. Linear regression analysis revealed a significant correlation between the expression level of CLEC16A and that of SOCS1 and DEXI in thymic samples. These data indicate a possible regulatory role for multiple sclerosis-associated non-coding CLEC16A SNPs and a common control mechanism for the expression of CLEC16A, SOCS1 and DEXI.

Polymorphisms in the inflammatory genes CIITA, CLEC16A and IFNG influence BMD, bone loss and fracture in elderly women

Osteoclast activity and the fine balance between bone formation and resorption is affected by inflammatory factors such as cytokines and T lymphocyte activity, mediated by major histocompatibility complex (MHC) molecules, in turn regulated by the MHC class II transactivator (MHC2TA). We investigated the effect of functional polymorphisms in the MHC2TA gene (CIITA), and two additional genes; C-type lectin domain 16A (CLEC16A), in linkage disequilibrium with CIITA and Interferon-γ (IFNG), an inducer of CIITA; on bone density, bone resorption markers, bone loss and fracture risk in 75 year-old women followed for up to 10 years (OPRA n = 1003) and in young adult women (PEAK-25 n = 999). CIITA was associated with BMD at age 75 (lumbar spine p = 0.011; femoral neck (FN) p = 0.049) and age 80 (total body p = 0.015; total hip p = 0.042; FN p = 0.028). Carriers of the CIITA rs3087456(G) allele had 1.8–3.4% higher BMD and displayed increased rate of bone loss between age 75 and 80 (FN p = 0.013; total hip p = 0.030; total body p = 3.8E⁻⁵). Despite increasing bone loss, the rs3087456(G) allele was protective against incident fracture overall (p = 0.002), osteoporotic fracture and hip fracture. Carriers of CLEC16A and IFNG variant alleles had lower BMD (p<0.05) and ultrasound parameters and a lower risk of incident fracture (CLEC16A, p = 0.011). In 25-year old women, none of the genes were associated with BMD. In conclusion, variation in inflammatory genes CIITA, CLEC-16A and INFG appear to contribute to bone phenotypes in elderly women and suggest a role for low-grade inflammation and MHC class II expression for osteoporosis pathogenesis.

Single nucleotide polymorphisms in multiple sclerosis: disease susceptibility and treatment response biomarkers

Multiple sclerosis (MS) is a chronic inflammatory demyelinating and neurodegenerative disease of the central nervous system characterized by unpredictable and variable clinical course. Etiology of MS involves both genetic and environmental factors. New technologies identified genetic polymorphisms associated with MS susceptibility among which immunologically relevant genes are significantly overrepresented. Although individual genes contribute only a small part to MS susceptibility, they might be used as biomarkers, thus helping to identify accurate diagnosis, predict clinical disease course and response to therapy. This review focuses on recent progress in research on MS genetics with special emphasis on the possibility to use single nucleotide polymorphism of candidate genes as biomarkers of susceptibility to disease and response to therapy.

Sequencing and analysis of a South Asian-Indian personal genome

BACKGROUND

With over 1.3 billion people, India is estimated to contain three times more genetic diversity than does Europe. Next-generation sequencing technologies have facilitated the understanding of diversity by enabling whole genome sequencing at greater speed and lower cost. While genomes from people of European and Asian descent have been sequenced, only recently has a single male genome from the Indian subcontinent been published at sufficient depth and coverage. In this study we have sequenced and analyzed the genome of a South Asian Indian female (SAIF) from the Indian state of Kerala.

RESULTS

We identified over 3.4 million SNPs in this genome including over 89,873 private variations. Comparison of the SAIF genome with several published personal genomes revealed that this individual shared ~50% of the SNPs with each of these genomes. Analysis of the SAIF mitochondrial genome showed that it was closely related to the U1 haplogroup which has been previously observed in Kerala. We assessed the SAIF genome for SNPs with health and disease consequences and found that the individual was at a higher risk for multiple sclerosis and a few other diseases. In analyzing SNPs that modulate drug response, we found a variation that predicts a favorable response to metformin, a drug used to treat diabetes. SNPs predictive of adverse reaction to warfarin indicated that the SAIF individual is not at risk for bleeding if treated with typical doses of warfarin. In addition, we report the presence of several additional SNPs of medical relevance.

CONCLUSIONS

This is the first study to report the complete whole genome sequence of a female from the state of Kerala in India. The availability of this complete genome and variants will further aid studies aimed at understanding genetic diversity, identifying clinically relevant changes and assessing disease burden in the Indian population.

Association of SNPs rs6498169 and rs10984447 with multiple sclerosis in Saudi patients: a model of the usefulness of familial aggregates in identifying genetic linkage in a multifactorial disease

OBJECTIVE

Genome-Wide association studies (GWAS) showed an association between subset of single-nucleotide polymorphism (SNPs) and multiple sclerosis. Our study aims to study this association in Saudi familial multiple sclerosis patients.

METHODS

Four subject groups were used in this study: sporadic MS (MS patients without family history), FMS (MS patients who have at least one family member diagnosed with MS), related controls (relatives of FMS patients who appear to be free of the disease) and independent controls (healthy volunteers). Subjects were genotyped for 15 SNPs. The variation in the genotype distribution was analyzed across study groups by using logistic regression.

RESULTS

342 subjects were included. 99 were in the sporadic MS group, 22 were FMS, 89 were related control, and 132 were independent control. SNPS rs3135388, rs7577363, rs1321172, rs6897932, rs6498169, rs12487066, and rs4763655were associated with MS when MS and independent control groups were compared. Same SNPS were identified but with stronger association when the FMS and independent control groups were compared. Finally, when the patients and the controls were selected from a much more homogenous genetic pool from which it would be expected that only SNPs highly linked to MS would persist, only two SNPs rs6498169[OR 4.26, CI (1.17 - 15.51)];, and rs10984447 [OR 13.63, CI(1.54, 120.83) ][were associated with MS.

CONCLUSIONS

Our results suggest that using a more homogenous genetic pool of cases and controls could help to identify the most significant MS-associated SNPs. Our finding is in agreement with other studies including larger sample size and more diverse populations.

[New gene map for multiple sclerosis]

BACKGROUND

Multiple sclerosis (MS) is a demyelinating, inflammatory disease of the central nervous system which affects young adults with a relapsing or progressive disease course. The etiology of the disease is unknown, but both environmental and genetic factors contribute to the risk of developing MS.

MATERIAL AND METHODS

We give an overview of new knowledge of the genetic risk factors for MS, based on our own work as well as on literature in this field.

RESULTS

Through genome-wide association studies and subsequent replication studies a series of novel MS genes have recently been identified, in addition to the HLA association previously described. The International MS Genetics Consortium in collaboration with the Wellcome Trust Case Control Consortium recently published a genome-wide study of 9,722 MS patients and 17,376 controls. Genome-wide significant association (p < 10-8) was observed for 29 new as well as 23 previously identified gene regions, in addition to the HLA-DRB1 and -A loci .The majority of these MS-associated regions encode immune-related molecules.

CONCLUSION

Genetic studies of large patient and control samples obtained through international and national collaborations have identified a list of more than 50 MS risk-gene regions, in addition to HLA-DRB1 and -A loci. The risk associated with each of these loci is low, however, they collectively point to the importance of immune-related pathways in the etiology of MS.

Determination of the real effect of genes identified in GWAS: the example of IL2RA in multiple sclerosis

Genome-wide association studies (GWAS), although efficient to detect genes involved in complex diseases, are not designed to measure the real effect of the genes. This is illustrated here by the example of IL2RA in multiple sclerosis (MS). Association between IL2RA and MS is clearly established, although the functional variation is still unknown: the effect of IL2RA might be better described by several SNPs than by a single one. This study investigates whether a pair of SNPs better explains the observed linkage and association data than a single SNP. In total, 522 trio families and 244 affected sib-pairs were typed for 26 IL2RA SNPs. For each SNP and pairs of SNPs, the phased genotypes of patients and controls were compared to determine the SNP set offering the best risk discrimination. Consistency between the genotype risks provided by the retained set and the identical by descent allele sharing in affected sib-pairs was assessed. After controlling for multiple testing, the set of SNPs rs2256774 and rs3118470, provides the best discrimination between the case and control genotype distributions (P-corrected=0.009). The relative risk between the least and most at-risk genotypes is 3.54 with a 95% confidence interval of [2.14-5.94]. Furthermore, the linkage information provided by the allele sharing between affected sibs is consistent with the retained set (P=0.80) but rejects the SNP reported in the literature (P=0.006). Establishing a valid modeling of a disease gene is essential to test its potential interaction with other genes and to reconstruct the pathophysiological pathways.

Insights into NK cell biology from human genetics and disease associations

Rare human primary immunodeficiency disorders with extreme susceptibility to infections in infancy have provided important insights into immune function. Increasingly, however, primary immunodeficiencies are also recognized as a cause of other more common, often discrete, infectious susceptibilities. In a wider context, loss-of-function mutations in immune genes may also cause disorders of immune regulation and predispose to cancer. Here, we review the associations between human diseases and mutations in genetic elements affecting natural killer (NK) cell development and function. Although many such genetic aberrations significantly reduce NK cell numbers or severely impair NK cell responses, inferences regarding the role of NK cells in disease are confounded by the fact that most mutations also affect the development or function of other cell types. Still, data suggest an important role for NK cells in diseases ranging from classical immunodeficiency syndromes with susceptibility to viruses and other intracellular pathogens to cancer, autoimmunity, and hypersensitivity reactions.

Interleukin 2 Receptor α Gene Polymorphism and Risk of Multiple Sclerosis: A Meta-Analysis

This meta-analysis studied the association between interleukin 2 receptor a (IL2RA) gene polymorphisms rs2104286 and rs12722489 and susceptibility to multiple sclerosis (MS). Case-control genetic association studies published before January 2011 were retrieved from the PubMed and EMBASE databases and the Cochrane Library. Eight studies comprising 13 569 patients and 23 435 controls met the selection criteria for meta-analysis of the IL2RA rs2104286 polymorphism. Using a fixed-effects model, the T allele and the TT and TT + TC genotypes of the IL2RA rs2104286 polymorphism were found to be associated with MS. Five studies comprising 5643 patients and 6415 controls met the selection criteria for meta-analysis of the IL2RA rs12722489 polymorphism. Using a fixed-effects model, the C allele and the CC genotype of the IL2RA rs12722489 polymorphism were found to be associated with MS but the CC + CT genotype was not. It was concluded that both of the IL2RA gene polymorphisms, rs2104286 and rs12722489, were associated with increased susceptibility to MS.

A knowledge-driven interaction analysis reveals potential neurodegenerative mechanism of multiple sclerosis susceptibility

Gene-gene interactions are proposed as an important component of the genetic architecture of complex diseases, and are just beginning to be evaluated in the context of genome-wide association studies (GWAS). In addition to detecting epistasis, a benefit to interaction analysis is that it also increases power to detect weak main effects. We conducted a knowledge-driven interaction analysis of a GWAS of 931 multiple sclerosis (MS) trios to discover gene-gene interactions within established biological contexts. We identify heterogeneous signals, including a gene-gene interaction between CHRM3 (muscarinic cholinergic receptor 3) and MYLK (myosin light-chain kinase) (joint P=0.0002), an interaction between two phospholipase C-β isoforms, PLCβ1 and PLCβ4 (joint P=0.0098), and a modest interaction between ACTN1 (actinin alpha 1) and MYH9 (myosin heavy chain 9) (joint P=0.0326), all localized to calcium-signaled cytoskeletal regulation. Furthermore, we discover a main effect (joint P=5.2E-5) previously unidentified by single-locus analysis within another related gene, SCIN (scinderin), a calcium-binding cytoskeleton regulatory protein. This work illustrates that knowledge-driven interaction analysis of GWAS data is a feasible approach to identify new genetic effects. The results of this study are among the first gene-gene interactions and non-immune susceptibility loci for MS. Further, the implicated genes cluster within inter-related biological mechanisms that suggest a neurodegenerative component to MS.

Revealing the genetic basis of multiple sclerosis: are we there yet?

For more than 30 years the only genetic factor associated with susceptibility to multiple sclerosis (MS) was the human leukocyte antigen (HLA) region. Recent advancements in genotyping platforms and the development of more effective statistical methods resulted in the identification of 16 more genes by genome-wide association studies (GWAS) in the last three years alone. While the effect of each of these genes is modest compared to that of HLA, this list is expected to grow significantly in the near future, thus defining a complex landscape in which susceptibility may be determined by a combination of allelic variants in different pathways according to ethnic background, disease sub-type, and specific environmental triggers. A considerable overlap of susceptibility genes among multiple autoimmune diseases is becoming evident and integration of these genetic variants with our current knowledge of affected biological pathways will greatly improve our understanding of mechanisms of general autoimmunity and of tissue specificity.

More CLEC16A gene variants associated with multiple sclerosis

OBJECTIVES

Recently, associations of several single-nucleotide polymorphisms (SNPs) within the CLEC16A gene with multiple sclerosis (MS), type-I diabetes, and primary adrenal insufficiency were reported.

METHODS

We performed linkage disequilibrium (LD) fine mapping with 31 SNPs from this gene, searching for the region of highest association with MS in a German sample consisting of 603 patients and 825 controls.

RESULTS

Four SNPs located in intron 19 of the CLEC16A gene were found associated. We could replicate the finding for SNP rs725613 and were able to show for the first time the association of rs2041670, rs2080272 and rs998592 with MS.

CONCLUSION

All described base polymorphisms are mapping to one LD block of approximately 50 kb within intron 19 of the CLEC16A gene, suggesting a pivotal role of this region for susceptibility of MS and possibly also for other autoimmune diseases.

Association study of ITGAM, ITGAX, and CD58 autoimmune risk loci in systemic sclerosis: results from 2 large European Caucasian cohorts

OBJECTIVE

Accumulating evidence shows that shared autoimmunity is critical for the pathogenesis of many autoimmune diseases. Systemic sclerosis (SSc) belongs to the connective tissue disorders, and recent data have highlighted strong associations with autoimmunity genes shared with other autoimmune diseases. To determine whether novel risk loci associated with systemic lupus erythematosus or multiple sclerosis may confer susceptibility to SSc, we tested single-nucleotide polymorphisms (SNP) from ITGAM, ITGAX, and CD58 for associations.

METHODS

SNP harboring associations with autoimmune diseases, ITGAM rs9937837, ITGAX rs11574637, and CD58 rs12044852, were genotyped in 2 independent cohorts of European Caucasian ancestry: 1031 SSc patients and 1014 controls from France and 1038 SSc patients and 691 controls from the USA, providing a combined study population of 3774 individuals. ITGAM rs1143679 was additionally genotyped in the French cohort.

RESULTS

The 4 polymorphisms were in Hardy-Weinberg equilibrium in the 2 control populations, and allelic frequencies were similar to those expected in European Caucasian populations. Allelic and genotypic frequencies for these 3 SNP were found to be statistically similar in SSc patients and controls. Subphenotype analyses for subgroups having diffuse cutaneous subtype disease, specific autoantibodies, or fibrosing alveolitis did not reveal any difference between SSc patients and controls.

CONCLUSION

These results obtained through 2 large cohorts of SSc patients of European Caucasian ancestry do not support the implication of ITGAM, ITGAX, and CD58 genes in the genetic susceptibility of SSc, although they were recently identified as autoimmune disease risk genes.

Insight from genome-wide association studies in rheumatoid arthritis and multiple sclerosis

Autoimmune diseases are caused by multiple genes and environmental effects. In addition, genetic contributions and the number of associated genes differ among different diseases and ethnic populations. Genome-wide association studies (GWAS) on rheumatoid arthritis (RA) and multiple sclerosis (MS) show that these diseases share many genetic factors. Recently, in addition to the major histocompatibility complex (MHC) gene, other genetic loci have been found to be associated with the risk for autoimmune diseases. This review focuses on the search for genetic variants that influence the susceptibility to RA and MS as typical autoimmune diseases and discusses the future of GWAS.

Polymorphisms in the receptor tyrosine kinase MERTK gene are associated with multiple sclerosis susceptibility

Multiple sclerosis (MS) is a debilitating, chronic demyelinating disease of the central nervous system affecting over 2 million people worldwide. The TAM family of receptor tyrosine kinases (TYRO3, AXL and MERTK) have been implicated as important players during demyelination in both animal models of MS and in the human disease. We therefore conducted an association study to identify single nucleotide polymorphisms (SNPs) within genes encoding the TAM receptors and their ligands associated with MS. Analysis of genotype data from a genome-wide association study which consisted of 1618 MS cases and 3413 healthy controls conducted by the Australia and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene) revealed several SNPs within the MERTK gene (Chromosome 2q14.1, Accession Number NG_011607.1) that showed suggestive association with MS. We therefore interrogated 28 SNPs in MERTK in an independent replication cohort of 1140 MS cases and 1140 healthy controls. We found 12 SNPs that replicated, with 7 SNPs showing p-values of less than 10⁻⁵ when the discovery and replication cohorts were combined. All 12 replicated SNPs were in strong linkage disequilibrium with each other. In combination, these data suggest the MERTK gene is a novel risk gene for MS susceptibility.