Multiple Sclerosis Locus Research Articles

A multi-step genomic approach prioritized TBKBP1 gene as relevant for multiple sclerosis susceptibility

BackgroundOver 200 genetic loci have been associated with multiple sclerosis (MS) explaining ~ 50% of its heritability, suggesting that additional mechanisms may account for the “missing heritability” phenomenon.ObjectiveTo analyze a large cohort of Italian individuals to identify markers associated with MS with potential functional impact in the disease.MethodsWe studied 2571 MS and 3234 healthy controls (HC) of continental Italian origin. Discovery phase included a genome wide association study (1727 MS, 2258 HC), with SNPs selected according to their association in the Italian cohort only or in a meta-analysis of signals with a cohort of European ancestry (4088 MS, 7144 HC). Top associated loci were then tested in two Italian cohorts through array-based genotyping (903 MS, 884 HC) and pool-based target sequencing (588 MS, 408 HC). Finally, functional prioritization through conditional eQTL and mQTL has been performed.ResultsTop associated signals overlap with already known MS loci on chromosomes 3 and 17. Three SNPs (rs4267364, rs8070463, rs67919208), all involved in the regulation of TBKBP1, were prioritized to be functionally relevant.ConclusionsNo evidence of novel signal of association with MS specific for the Italian continental population has been found; nevertheless, two MS loci seems to play a relevant role, raising the interest to further investigations for TBKBP1 gene.

Clinical relevance and functional consequences of the TNFRSF1A multiple sclerosis locus

We set out to characterize the clinical impact and functional consequences of rs1800693(G), the multiple sclerosis (MS) susceptibility allele found in the TNFRSF1A locus. We analyzed prospectively collected data on patients with MS to assess the role of the TNFRSF1A locus on disease course and treatment response. Using archival serum samples and freshly isolated monocytes from patients with MS and healthy subjects, we evaluated the effects of rs1800693(G) and a second risk allele, R92Q, on immune function. In 772 patients with MS, we see no evidence that rs1800693(G) strongly influences clinical or radiographic indices of disease course and treatment response; thus, rs1800693(G) appears to be primarily involved in the onset of MS. At the molecular level, this validated susceptibility allele generates an RNA isoform, TNFRSF1A Δ6, that lacks the transmembrane and cytoplasmic domains. While there was no measurable effect on serum levels of soluble TNFRSF1A, rs1800693(G) appears to alter the state of monocytes, which demonstrate a more robust transcriptional response of CXCL10 and other genes in response to tumor necrosis factor (TNF)-α. We also report that activation of the TNF-α pathway results in altered expression of 6 other MS susceptibility genes, including T-cell activation rho GTPase activating protein (TAGAP) and regulator of G-protein signaling 1 (RGS1), which are not previously known to be responsive to TNF-α. The MS rs1800693(G) susceptibility allele affects the magnitude of monocyte responses to TNF-α stimulation, and the TNF pathway may be one network in which the effect of multiple MS genes becomes integrated.

Co-occurrence of multiple sclerosis and cancer in a BRCA1 positive family

Multiple sclerosis is not known to be a risk factor for subsequent development of cancer. Recently, a multiple sclerosis locus was mapped adjacent to BRCA1 gene. We present a familial case affected by multiple sclerosis and cancer. We identified a c.5266dupC (5382insC) frameshift mutation in a 33-year-old woman with breast cancer, multiple malignant melanomas and multiple sclerosis. The patient's family history shows further cases of multiple sclerosis in BRCA1 mutation carriers. Therefore the presented family may carry a monogenic predisposition for multiple sclerosis nearby to BRCA1.

ALCAM — Novel multiple sclerosis locus interfering with HLA-DRB1*1501

Activated leukocyte cell adhesion molecule (ALCAM) is a molecule involved in leukocyte migration across the blood–brain barrier which is a key stage in multiple sclerosis (MS) pathogenesis. The present study is the first to report evidence of the association of rs6437585 ALCAM polymorphism with risk and progression of MS. Our investigation revealed that rs6437585CT individuals had higher risk of MS (OR=2.34; 95%CI=1.22–4.51; P=0.011) and over 2years earlier age of onset (95%CI=0.16–4.41, P=0.036).Moreover, we demonstrated that two ALCAM polymorphisms, rs11559013 and rs34926152, although not associated with MS itself, modify HLA-DRB1*1501 effect. Results obtained from logistic regression analysis showed five-fold lower risk for MS for both rs11559013GA/HLA-DRB1*1501+ and rs34926152GT/HLA-DRB1*1501+ individuals. This observations may suggest protective role against MS for both rs11559013GA and rs34926152GT genotypes in HLA-DRB1*1501 positive individuals.

Genome-wide significant association of ANKRD55 rs6859219 and multiple sclerosis risk

Multiple sclerosis (MS) is a genetically complex disease that shares a substantial proportion of risk loci with other autoimmune diseases.1 Along these lines, ANKRD55 , originally implicated in rheumatoid arthritis,...

Association of SNP rs6897932 on CD127 gene in Relapsing Remitting Multiple Sclerosis (RRMS) patients compared to control group

Association of SNP rs6897932 on CD127 gene in Relapsing Remitting Multiple Sclerosis (RRMS) patients compared to control group

Protein-Protein Interaction Analysis Highlights Additional Loci of Interest for Multiple Sclerosis

Genetic factors play an important role in determining the risk of multiple sclerosis (MS). The strongest genetic association in MS is located within the major histocompatibility complex class II region (MHC), but more than 50 MS loci of modest effect located outside the MHC have now been identified. However, the relative candidate genes that underlie these associations and their functions are largely unknown. We conducted a protein-protein interaction (PPI) analysis of gene products coded in loci recently reported to be MS associated at the genome-wide significance level and in loci suggestive of MS association. Our aim was to identify which suggestive regions are more likely to be truly associated, which genes are mostly implicated in the PPI network and their expression profile. From three recent independent association studies, SNPs were considered and divided into significant and suggestive depending on the strength of the statistical association. Using the Disease Association Protein-Protein Link Evaluator tool we found that direct interactions among genetic products were significantly higher than expected by chance when considering both significant regions alone (p<0.0002) and significant plus suggestive (p<0.007). The number of genes involved in the network was 43. Of these, 23 were located within suggestive regions and many of them directly interacted with proteins coded within significant regions. These included genes such as SYK, IL-6, CSF2RB, FCLR3, EIF4EBP2 and CHST12. Using the gene portal BioGPS, we tested the expression of these genes in 24 different tissues and found the highest values among immune-related cells as compared to non-immune tissues (p<0.001). A gene ontology analysis confirmed the immune-related functions of these genes. In conclusion, loci currently suggestive of MS association interact with and have similar expression profiles and function as those significantly associated, highlighting the fact that more common variants remain to be found to be associated to MS.

Insights into the changing perspectives of multiple sclerosis in India.

Multiple Sclerosis (MS) is being diagnosed in increasing numbers in metropolitan cities of India for which the availability of specialist neurologists and magnetic resonance imaging (MRI) facilities are primarily responsible. Epidemiological data are unavailable. Existing data have been obtained from small often retrospective studies from different parts of the country. These earlier studies suggested that optic nerve and spinal cord involvement are considerably high, and that perhaps optic spinal MS was the most prevalent form in India. On this basis it was also speculated that neuromyelitis optica (NMO) may be overrepresented in Indians. However in recent times, prospective studies backed by MRI data have shown no distinct differences between MS seen in the west and India. Sero positivity for NMO IgG is low though NMO phenotype disorders constitute nearly 20% of demyelinating disorders in India. Genetic susceptibility for MS among Indians may be similar to that for white populations. In the major histocompatibility complex (MHC), HLA DR1∗1501 has been strongly associated with MS in Indians. A recent study that evaluated the established non-MHC multiple sclerosis loci in a small data set of Indian patients suggested a strong similarity with white populations. This review highlights some of the background information available on MS from India and so also some recent studies that unveiled the disease characteristics in Indian patients.

Evaluation of the established non-MHC multiple sclerosis loci in an Indian population

Background: Multiple sclerosis (MS) is a chronic demyelinating neurodegenerative disorder with a strong genetic component. Objective: The prevalence of MS in India is low compared with white populations of Northern European descent. Methods: In order to ascertain whether disease susceptibility genes are the same across different populations, we completed the first investigation in the Indian MS population of 15 MS loci outside of the major histocompatibility (MHC) region that were previously identified and validated with MS susceptibility through genome-wide association and replication studies in white populations. Results: In total, 197 Indian patients and 197 unrelated controls were analyzed. The most associated single nucleotide polymorphism (SNP) within this study was rs6897932 in the IL7R gene, which showed a strong protective effect in this data set (rs 6897932, OR = 0.5543, 95% CI = 0.37–0.78, p = 0.0009727). Two other SNPs were nominally associated with MS in this dataset, namely CLEC16A rs 12708716 (p = 0.0082, OR = 1.478, 95% CI = 1.106–1.975) and CD226 rs763361 (p = 0.03971, OR = 1.353, CI = 1.014–1.805). For the majority of the remaining SNPs (7/14), the trend for association was in the same direction as in previous studies in the white population. Conclusions: Although the power of this study was limited, our preliminary data suggest that disease susceptibility genes in MS in the Indian population may be similar to those of western populations.

Genome-wide Association Study in a High-Risk Isolate for Multiple Sclerosis Reveals Associated Variants in STAT3 Gene

Genetic risk for multiple sclerosis (MS) is thought to involve both common and rare risk alleles. Recent GWAS and subsequent meta-analysis have established the critical role of the HLA locus and identified new common variants associated to MS. These variants have small odds ratios (ORs) and explain only a fraction of the genetic risk. To expose potentially rare, high-impact alleles, we conducted a GWAS of 68 distantly related cases and 136 controls from a high-risk internal isolate of Finland with increased prevalence and familial occurrence of MS. The top 27 loci with p < 10(-4) were tested in 711 cases and 1029 controls from Finland, and the top two findings were validated in 3859 cases and 9110 controls from more heterogeneous populations. SNP (rs744166) within the STAT3 gene was associated to MS (p = 2.75 x 10(-10), OR 0.87, confidence interval 0.83-0.91). The protective haplotype for MS in STAT3 is a risk allele for Crohn disease, implying that STAT3 represents a shared risk locus for at least two autoimmune diseases. This study also demonstrates the potential of special isolated populations in search for variants contributing to complex traits.

Follow-up examination of linkage and association to chromosome 1q43 in multiple sclerosis

Multiple sclerosis is a debilitating neuroimmunological and neurodegenerative disease affecting more than 400,000 individuals in the United States. Population and family-based studies have suggested that there is a strong genetic component. Numerous genomic linkage screens have identified regions of interest for MS loci. Our own second-generation genome-wide linkage study identified a handful of non-MHC regions with suggestive linkage. Several of these regions were further examined using single-nucleotide polymorphisms (SNPs) with average spacing between SNPs of approximately 1.0 Mb in a dataset of 173 multiplex families. The results of that study provided further evidence for the involvement of the chromosome 1q43 region. This region is of particular interest given linkage evidence in studies of other autoimmune and inflammatory diseases including rheumatoid arthritis and systemic lupus erythematosus. In this follow-up study, we saturated the region with ~700 SNPs (average spacing of 10kb per SNP) in search of disease associated variation within this region. We found preliminary evidence to suggest that common variation within the RGS7 locus may be involved in disease susceptibility.

Use of a genetic isolate to identify rare disease variants: C7 on 5p associated with MS

Large case-control genome-wide association studies primarily expose common variants contributing to disease pathogenesis with modest effects. Thus, alternative strategies are needed to tackle rare, possibly more penetrant alleles. One strategy is to use special populations with a founder effect and isolation, resulting in allelic enrichment. For multiple sclerosis such a unique setting is reported in Southern Ostrobothnia in Finland, where the prevalence and familial occurrence of multiple sclerosis (MS) are exceptionally high. Here, we have studied one of the best replicated MS loci, 5p, and monitored for haplotypes shared among 72 regional MS cases, the majority of which are genealogically distantly related. The haplotype analysis over the 45 Mb region, covering the linkage peak identified in Finnish MS families, revealed only modest association at IL7R (P = 0.04), recently implicated in MS, whereas most significant association was found with one haplotype covering the C7-FLJ40243 locus (P = 0.0001), 5.1 Mb centromeric of IL7R. The finding was validated in an independent sample from the isolate and resulted in an odds ratio of 2.73 (P = 0.000003) in the combined data set. The identified relatively rare risk haplotype contains C7 (complement component 7), an important player of the innate immune system. Suggestive association with alleles of the region was seen also in more heterogeneous populations. Interestingly, also the complement activity correlated with the identified risk haplotype. These results suggest that the MS predisposing locus on 5p is more complex than assumed and exemplify power of population isolates in the identification of rare disease alleles.

Genetic loci linked to Type 1 Diabetes and Multiple Sclerosis families in Sardinia

BackgroundThe Mediterranean island of Sardinia has a strikingly high incidence of the autoimmune disorders Type 1 Diabetes (T1D) and Multiple Sclerosis (MS). Furthermore, the two diseases tend to be co-inherited in the same individuals and in the same families. These observations suggest that some unknown autoimmunity variant with relevant effect size could be fairly common in this founder population and could be detected using linkage analysis.MethodsTo search for T1D and MS loci as well as any that predispose to both diseases, we performed a whole genome linkage scan, sequentially genotyping 593 microsatellite marker loci in 954 individuals distributed in 175 Sardinian families. In total, 413 patients were studied; 285 with T1D, 116 with MS and 12 with both disorders. Model-free linkage analysis was performed on the genotyped samples using the Kong and Cox logarithm of odds (LOD) score statistic.ResultsIn T1D, aside from the HLA locus, we found four regions showing a lod-score ≥1; 1p31.1, 6q26, 10q21.2 and 22q11.22. In MS we found three regions showing a lod-score ≥1; 1q42.2, 18p11.21 and 20p12.3. In the combined T1D-MS scan for shared autoimmunity loci, four regions showed a LOD >1, including 6q26, 10q21.2, 20p12.3 and 22q11.22. When we typed more markers in these intervals we obtained suggestive evidence of linkage in the T1D scan at 10q21.2 (LOD = 2.1), in the MS scan at 1q42.2 (LOD = 2.5) and at 18p11.22 (LOD = 2.6). When all T1D and MS families were analysed jointly we obtained suggestive evidence in two regions: at 10q21.1 (LOD score = 2.3) and at 20p12.3 (LOD score = 2.5).ConclusionThis suggestive evidence of linkage with T1D, MS and both diseases indicates critical chromosome intervals to be followed up in downstream association studies.

A Second-Generation Genomic Screen for Multiple Sclerosis

Multiple sclerosis (MS) is a debilitating neuroimmunological and neurodegenerative disorder. Despite substantial evidence for polygenic inheritance of the disease, the major histocompatibility complex is the only region that clearly and consistently demonstrates linkage and association in MS studies. The goal of this study was to identify additional chromosomal regions that harbor susceptibility genes for MS. With a panel of 390 microsatellite markers genotyped in 245 U.S. and French multiplex families (456 affected relative pairs), this is the largest genomic screen for MS conducted to date. Four regions met both of our primary criteria for further interest (heterogeneity LOD [HLOD] and Z scores >2.0): 1q (HLOD=2.17; Z=3.38), 6p (HLOD=4.21; Z=2.26), 9q (HLOD; Z=2.71), and 16p (HLOD=2.64; Z=2.05). Two additional regions met only the Z score criterion: 3q (Z=2.39) and 5q (Z=2.17). Further examination of the data by country (United States vs. France) identified one additional region demonstrating suggestive linkage in the U.S. subset (18p [HLOD=2.39]) and two additional regions generating suggestive linkage in the French subset (1p [HLOD=2.08] and 22q [HLOD=2.06]). Examination of the data by human leukocyte antigen (HLA)-DR2 stratification identified four additional regions demonstrating suggestive linkage: 2q (HLOD=3.09 in the U.S. DR2- families), 6q (HLOD=3.10 in the French DR2- families), 13q (HLOD=2.32 in all DR2+ families and HLOD=2.17 in the U.S. DR2+ families), and 16q (HLOD=2.32 in all DR2+ families and HLOD=2.13 in the U.S. DR2+ families). These data suggest several regions that warrant further investigation in the search for MS susceptibility genes.

Comparison of GenFlex Tag Array and Pyrosequencing in SNP Genotyping

With the completion of the Human Genome Project, over 2 million sequence-verified single nucleotide polymorphisms (SNPs) have been deposited in public databases. The challenge has shifted from SNP identification to high-throughput SNP genotyping. Although this has had little impact on molecular diagnostics, it provides the potential for future molecular diagnostics of complex traits to include SNP profiling. Accordingly, efficient, accurate, and flexible SNP genotyping are needed. In addition, the drive for low cost has pushed genotyping reactions toward multiplexing capability. We compared two SNP genotyping techniques: Affymetrix GenFlex Tag array and Pyrosequencing. The reference method was a well-established, solid-phase, single nucleotide extension reaction technique based on tritium detection. Fourteen SNPs were selected from the fine mapping project of a multiple sclerosis locus on chromosome 17q. Using all three techniques and the reference method, the SNPs were analyzed in 96 related individuals. Without extensive optimization, we successfully genotyped 11 of 14 SNPs with both GenFlex and Pyrosequencing. Our study suggests that the Pyrosequencing technique provides higher accuracy between the two systems which is most likely due to the single-stranded template in the extension reaction. Thus, Pyrosequencing has potential for diagnostic applications. Pyrosequencing, however, is not optimal for large SNP profiling analyses wherein multiplexing potential is an advantage.

The genetic epidemiology of multiple sclerosis

Multiple sclerosis (MS) is a debilitating immunological and neurodegenerative disorder. Epidemiological studies have provided overwhelming evidence of complex genetic susceptibility to MS. However, with the exception of the human leukocyte antigen (HLA) locus, genetic studies have failed to consistently identify significant linkage or association with genes that modulate MS disease expression. Numerous functional candidate gene studies, linkage genomic screens, and locational candidate gene studies have been performed in an attempt to identify additional loci. However, these methods have demonstrated insufficient power to consistently identify genes or epigenetic factors for MS. More current approaches integrate information from a variety of sources (e.g. consistent linkage data, gene expression profiling, and functional characterization studies) and utilize high throughput methods (e.g. genotyping high density markers, utilizing pooling schemes and performing new statistical analyses) in an attempt to overcome power issues. The following article presents a review of MS genetics research and a brief overview of methods that are currently being developed and utilized for fine localization of MS loci, such as the method employed in the Genetic Analysis of Multiple sclerosis in EuropeanS (GAMES) study that is presented elsewhere in this journal. It is the hope of researchers that these methods will lead to the identification of susceptibility genes for MS that aid in elucidating pathogenic mechanisms and potential therapeutic strategies for this debilitating disease.

Fine mapping of a multiple sclerosis locus to 2.5 Mb on chromosome 17q22-q24.

Genome-wide linkage analyses performed in a Finnish study sample have identified four potential predisposing loci for multiple sclerosis (MS). Here we made an effort to restrict the wide linkage region on chromosome 17 with a dense set of 31 markers using multipoint linkage analyses and monitoring for shared marker alleles in MS chromosomes. We carried out the linkage analyses in 22 Finnish multiplex MS families originating from a regional subisolate that shows an exceptionally high prevalence of MS in order to minimize the genetic and environmental heterogeneity of the study sample. Thirty markers on the 23 cM initial interval gave positive pairwise LOD scores. We monitored for shared haplotypes among affected family members within a family, and identified an approximately 4 cM region flanked by the markers D17S1792 and ATA43A10 in 17 out of the 22 families (77.3%). The multipoint linkage analyses using Genehunter and SIMWALK 2.40 provided further evidence for the same 4 cM region, for example a maximal multipoint NPL score of 5.98 (P<0.0002). We observed nominal evidence for association to MS, with one marker flanking the shared region, and this association was replicated in the additional set of families. Using the combined power of linkage, association and shared haplotype analyses, we were thus able to restrict the MS locus on chromosome 17q from 23 cM to a 4 cM region covering a physical interval of approximately 2.5 Mb. Thus, this study describes the restriction of an MS locus outside the HLA region into a segment approachable by molecular tools.

Genetics of multiple sclerosis: linkage and association studies.

Multiple sclerosis (MS) is a demyelinating autoimmune disease of the central nervous system caused by an interplay of environmental and genetic factors. The only genetic region that has been clearly demonstrated by linkage and association studies to contribute to MS genetic susceptibility is the human leukocyte antigen (HLA) system. The majority of HLA population studies in MS have focused on Caucasians of Northern European descent, where the predisposition to disease has been consistently associated with the class II DRB1*1501-DQA1*0102-DQB1*0602 haplotype. A positive association with DR4 was detected in Sardinians and in other Mediterranean populations. Moreover DR1, DR7, DR11 have been found to be protective in several populations. Systematic searches aimed at identifying non-HLA susceptibility genes were undertaken in several populations by means of linkage studies with microsatellite markers distributed across the whole genome. The conclusion of these studies was that there is no major MS locus, and genetic susceptibility to the disease is most likely explained by the presence of different genes each conferring a small contribution to the overall familial aggregation. The involvement of several candidate genes was tested by association studies, utilizing either a population-based (case control) or a family-based (transmission disequilibrium test) approach. Candidate genes were selected mainly on the basis of their involvement in the autoimmune pathogenesis and include immunorelevant molecules such as cytokines, cytokine receptors, immunoglobulin, T cell receptor subunits and myelin antigens. With the notable exception of HLA, association studies met only modest success. This failure may result from the small size of the tested samples and the small number of markers considered for each gene. New tools for large scale screening are needed to identify genetic determinants with a low phenotypic effect. Large collaborative studies are planned to screen several thousands of patients with MS with several thousands of genetic markers. The tests are increasingly based on the DNA pooling procedure.