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Multiple Sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system. The risk of developing MS is strongly influenced by genetic predisposition, and over 100 loci have been established as associated with susceptibility. However, the biologically relevant variants underlying disease risk have not been defined for the vast majority of these loci, limiting the power of these genetic studies to define new avenues of research for the development of MS therapeutics. It is therefore crucial that candidate MS susceptibility loci are carefully investigated to identify the biological mechanism linking genetic polymorphism at a given gene to the increased chance of developing MS. MERTK has been established as an MS susceptibility gene and is part of a family of receptor tyrosine kinases known to be involved in the pathogenesis of demyelinating disease. In this study we have refined the association of MERTK with MS risk to independent signals from both common and low frequency variants. One of the associated variants was also found to be linked with increased expression of MERTK in monocytes and higher expression of MERTK was associated with either increased or decreased risk of developing MS, dependent upon HLA-DRB1*15:01 status. This discordant association potentially extended beyond MS susceptibility to alterations in disease course in established MS. This study provides clear evidence that distinct polymorphisms within MERTK are associated with MS susceptibility, one of which has the potential to alter MERTK transcription, which in turn can alter both susceptibility and disease course in MS patients.

Objective: To perform a 1-stage meta-analysis of genome-wide association studies (GWAS) of multiple sclerosis (MS) susceptibility and to explore functional consequences of new susceptibility loci., Methods: We synthesized 7 MS GWAS. Each data set was imputed using HapMap phase II, and a per single nucleotide polymorphism (SNP) meta-analysis was performed across the 7 data sets. We explored RNA expression data using a quantitative trait analysis in peripheral blood mononuclear cells (PBMCs) of 228 subjects with demyelinating disease., Results: We meta-analyzed 2,529,394 unique SNPs in 5,545 cases and 12,153 controls. We identified 3 novel susceptibility alleles: rs170934(T) at 3p24.1 (odds ratio [OR], 1.17; p = 1.6 × 10(-8)) near EOMES, rs2150702(G) in the second intron of MLANA on chromosome 9p24.1 (OR, 1.16; p = 3.3 × 10(-8)), and rs6718520(A) in an intergenic region on chromosome 2p21, with THADA as the nearest flanking gene (OR, 1.17; p = 3.4 × 10(-8)). The 3 new loci do not have a strong cis effect on RNA expression in PBMCs. Ten other susceptibility loci had a suggestive p < 1 × 10(-6) , some of these loci have evidence of association in other inflammatory diseases (ie, IL12B, TAGAP, PLEK, and ZMIZ1)., Interpretation: We have performed a meta-analysis of GWAS in MS that more than doubles the size of previous gene discovery efforts and highlights 3 novel MS susceptibility loci. These and additional loci with suggestive evidence of association are excellent candidates for further investigations to refine and validate their role in the genetic architecture of MS., (Copyright © 2011 American Neurological Association.)

Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis.

We conducted an association study across the human leukocyte antigen (HLA) complex to identify loci associated with multiple sclerosis (MS). Comparing 1927 SNPs in 1618 MS cases and 3413 controls of European ancestry, we identified seven SNPs that were independently associated with MS conditional on the others (each P ≤ 4 x 10(-6)). All associations were significant in an independent replication cohort of 2212 cases and 2251 controls (P ≤ 0.001) and were highly significant in the combined dataset (P ≤ 6 x 10(-8)). The associated SNPs included proxies for HLA-DRB1*15:01 and HLA-DRB1*03:01, and SNPs in moderate linkage disequilibrium (LD) with HLA-A*02:01, HLA-DRB1*04:01 and HLA-DRB1*13:03. We also found a strong association with rs9277535 in the class II gene HLA-DPB1 (discovery set P = 9 x 10(-9), replication set P = 7 x 10(-4), combined P = 2 x 10(-10)). HLA-DPB1 is located centromeric of the more commonly typed class II genes HLA-DRB1, -DQA1 and -DQB1. It is separated from these genes by a recombination hotspot, and the association is not affected by conditioning on genotypes at DRB1, DQA1 and DQB1. Hence rs9277535 represents an independent MS-susceptibility locus of genome-wide significance. It is correlated with the HLA-DPB1*03:01 allele, which has been implicated previously in MS in smaller studies. Further genotyping in large datasets is required to confirm and resolve this association.

Recent association studies in multiple sclerosis (MS) have identified and replicated several single nucleotide polymorphism (SNP) susceptibility loci including CLEC16A, IL2RA, IL7R, RPL5, CD58, CD40 and chromosome 12q13-14 in addition to the well established allele HLA-DR15. There is potential that these genetic susceptibility factors could also modulate MS disease severity, as demonstrated previously for the MS risk allele HLA-DR15. We investigated this hypothesis in a cohort of 1006 well characterised MS patients from South-Eastern Australia. We tested the MS-associated SNPs for association with five measures of disease severity incorporating disability, age of onset, cognition and brain atrophy. We observed trends towards association between the RPL5 risk SNP and time between first demyelinating event and relapse, and between the CD40 risk SNP and symbol digit test score. No associations were significant after correction for multiple testing. We found no evidence for the hypothesis that these new MS disease risk-associated SNPs influence disease severity.

The risk for development of multiple sclerosis has been associated with human leukocyte antigen-DRB1*1501-DQB1*0602 (HLA-DR15) genotype, low infant sibling exposure, and high Epstein-Barr nuclear antigen IgG levels. In a population-based case-control study (Tasmania, Australia), we found that the combined effect of HLA-DR15 positivity and low infant sibling exposure on multiple sclerosis (odds ratio, 7.88; 95% confidence interval, 3.43-18.11) was 3.9-fold greater than expected (test for interaction, p = 0.019) This interaction was observed irrespective of Epstein-Barr nuclear antigen IgG levels. This suggests that immune mechanisms involving HLA class II molecules are susceptible to modulation in early life. Ann Neurol 2009;66:261-265 ANN NEUROL 2010;67:259-263.

Multiple sclerosis (MS) is a genetically complex autoimmune disease. To dissect further the involvement of four recent identified MS susceptibility genes (KIAA0350, IL2RA, RPL5 and CD58) in disease pathogenesis, we genotyped 94 haplotype-tagging single nucleotide polymorphisms (SNPs) from these loci in 1146 MS cases and 1309 controls. Seven newly-typed SNP variants were nominally associated with risk of MS, and one SNP (rs791589) in the first intron of the IL2RA gene remained associated after adjustment for rs2104286 genotype, a previously reported SNP association. These data provide further evidence of allelic heterogeneity at the IL2RA locus and point to the existence of at least two independent MS susceptibility alleles.

Multiple sclerosis (MS) is a chronic autoimmune disorder that causes inflammatory demyelination and axonal damage in the central nervous system (CNS). We have investigated whether the A49G single nucleotide polymorphism (SNP) genotype of the CTLA-4 gene influenced the development of MS in Southern Australians as well as the interaction of this SNP with the DRB1*15 haplotype. There were no significant (P<0.05) associations between the A49G genotype and risk of MS, either before or after stratification for presence of the DR15 haplotype.

Human leucocyte antigen (HLA)-DRB1*15 is associated with predisposition to multiple sclerosis (MS), although conjecture surrounds the possible involvement of an alternate risk locus in the class I region of the HLA complex. We have shown previously that an alternate MS risk allele(s) may be encompassed by the telomerically extended DRB1*15 haplotype, and here, we have attempted to map the putative variant. Thirteen microsatellite markers encompassing a 6.79-megabase (D6S2236-G51152) region, and the DRB1 and DQB1 genes, were genotyped in 166 MS simplex families and 104 control families from the Australian State of Tasmania and 153 narcolepsy simplex families (trios) from the USA. Complementary approaches were used to investigate residual predisposing effects of microsatellite alleles comprising the extended DRB1*15 haplotype taking into account the strong predisposing effect of DRB1*15: (1) Disease association of the extended DRB1*15 haplotype was compared for MS and narcolepsy families--predisposing effects were observed for extended class I microsatellite marker alleles in MS families, but not narcolepsy families; (2) disease association of the extended DRB1*15 haplotype was investigated after conditioning MS and control haplotypes on the absence of DRB1*15--a significant predisposing effect was observed for a 627-kb haplotype (D6S258 allele 8-MOGCA allele 4; MOG, myelin oligodendrocyte glycoprotein) spanning the extended class I region. MOGCA allele 4 displayed the strongest predisposing effect in DRB1*15-conditioned haplotypes (p = 0.0006; OR 2.83 [1.54-5.19]). Together, these data confirm that an alternate MS risk locus exists in the extended class I region in Tasmanian MS patients independent of DRB1*15.

We have developed a likelihood method to identify moderately distant genealogical relationships from genomewide scan data. The aim is to compare the genotypes of many pairs of people and identify those pairs most likely to be related to one another. We have tested the algorithm using the genotypes of 170 Tasmanians with multiple sclerosis recruited into a haplotype association study. It is estimated from genealogical records that approximately 65% of Tasmania's current population of 470,000 are direct descendants of the 13,000 female founders living in this island state of Australia in the mid-nineteenth century. All cases and four to five relatives of each case have been genotyped with microsatellite markers at a genomewide average density of 4 cM. Previous genealogical research has identified 51 pairwise relationships linking 56 of the 170 cases. Testing the likelihood calculation on these known relative pairs, we have good power to identify relationships up to degree eight (e.g. third cousins once removed). Applying the algorithm to all other pairs of cases, we have identified a further 61 putative relative pairs, with an estimated false discovery rate of 10%. The power to identify genealogical links should increase when the new, denser sets of SNP markers are used. Except in populations where there is a searchable electronic database containing virtually all genealogical links in the past six generations, the algorithm should be a useful aid for genealogists working on gene-mapping projects, both linkage studies and association studies.

Results are presented from a genomewide haplotype association study on multiple sclerosis (MS) cases from Tasmania, an island state of Australia. Cases were ascertained on strict clinical and radiological grounds and on the fact that they had at least one grandparent born in the state. This enriched for early settler chromosomes among present day Tasmanians with MS and increased the chances of finding common haplotype sharing at disease predisposition loci in distant relatives sharing common ancestral haplotypes. Four-to-five close relatives were also collected for each of 170 cases and 105 population-based controls. All were genotyped at a 5cM resolution, haplotypes reconstructed and sharing estimated using an empirical approach based on sorting haplotypes to find the most common at each locus and then generating a test statistic for excess sharing in the cases based on permutation testing. Five initial loci were found where there was an excess sharing in the cases. These were fine-mapped with 10-12 additional markers. Only loci on chromosomes 6 and 10 remained after fine mapping. These loci demonstrate an increase in sharing of multi-marker haplotypes in MS cases compared to both population control transmitted haplotypes and case non-transmitted haplotypes.

In order to resolve a multiple sclerosis (MS) susceptibility locus that we had identified in earlier work at the telomeric end of the HLA complex, we genotyped another 34 microsatellite markers (47 in total) across the class I/extended class I region in 166 Tasmanian MS case and 104 control families (D6S299-D6S265). Extended MS susceptibility haplotypes, up to 9 Mb in length, were observed in 11% of MS cases and 4% of controls. Direct comparison of the telomerically extended portion of the MS susceptibility haplotype in HFE-Cys282Tyr (C282Y)-homozygous haemochromatosis patients identified a common ancestry for this genomic segment, which translated into an increased frequency of the C282Y allele in 489 MS cases from Tasmania and Victoria (10.2%) compared with controls (6.7%). Six C282Y homozygotes (1.2%), a three-fold increased rate over the general population, and 88 heterozygotes (18%) were identified. One C282Y-homozygous female was identified who had MS and was being treated for symptoms of iron overload. Interestingly, for 71 Victorian MS cases not of north western European (NWE) ancestry, a DR15-independent reduction in the frequency of the C282Y allele was observed, supporting the theory of a NWE origin for the C282Y-variant of the DR15 ancestral haplotype (C282Y-HLA-A*0301-B*0702-DRB1*1501-DQB1*0602). The results of linkage disequilibrium (LD) and log linear modelling analyses suggest that C282Y is increased in MS cases of NWE ancestry because it is in LD with the ancestral DR15 susceptibility haplotype (7.1) and that it does not play an independent role in predisposition to MS. However, our findings provide the impetus for further investigations into the role of iron metabolism in the severity of MS.

Association of multiple sclerosis (MS) with the human leukocyte antigen (HLA) class II haplotype DRB1*1501-DQB1*0602 is the most consistently replicated finding of genetic studies of the disease. However, the high level of linkage disequilibrium (LD) in the HLA region has hindered the identification of other loci that single-marker tests for association are unlikely to resolve. In order to address this issue, we generated haplotypes spanning 14.754 Mb (5 cM) across the entire HLA region. The haplotypes, which were inferred by genotyping relatives of 152 patients with MS and 105 unaffected control subjects of Tasmanian ancestry, define a genomic segment from D6S276 to D6S291, including 13 microsatellite markers integrated with allele-typing data for DRB1 and DQB1. Association to the DRB1*1501-DQB1*0602 haplotype was replicated. In addition, we found that the class I/extended class I region, defined by a genomic segment of approximately 400 kb between MOGCA and D6S265, harbors genes that independently increase risk of, or provide protection from, MS. Log-linear modeling analysis of constituent haplotypes that represent genomic regions containing class I (MOGCA-D6S265), class III (TNFa-TNFd-D6S273), and class II (DRB1-DQB1) genes indicated that having class I and class II susceptibility variants on the same haplotype provides an additive effect on risk. Moreover, we found no evidence for a disease locus in the class III region defined by a 150-kb genomic segment containing the TNF locus and 14 other genes. A global overview of LD performed using GOLD identified two discrete blocks of LD in the HLA region that correspond well with previous findings. We propose that the analysis of haplotypes, by use of the types of approaches outlined in the present article, should make it possible to more accurately define the contribution of the HLA to MS.

To identify multiple sclerosis (MS) susceptibility loci, we conducted a genome-wide association study (GWAS) in 1,618 cases and used shared data for 3,413 controls. We performed replication in an independent set of 2,256 cases and 2,310 controls, for a total of 3,874 cases and 5,723 controls. We identified risk-associated SNPs on chromosome 12q13–14 (rs703842, P = 5.4 × 10−11; rs10876994, P = 2.7 × 10−10; rs12368653, P = 1.0 × 10−7) and upstream of CD40 on chromosome 20q13 (rs6074022, P = 1.3 × 10−7; rs1569723, P = 2.9 × 10−7). Both loci are also associated with other autoimmune diseases. We also replicated several known MS associations (HLA-DR15, P = 7.0 × 10−184; CD58, P = 9.6 × 10−8; EVI5-RPL5, P = 2.5 × 10−6; IL2RA, P = 7.4 × 10−6; CLEC16A, P = 1.1 × 10−4; IL7R, P = 1.3 × 10−3; TYK2, P = 3.5 × 10−3) and observed a statistical interaction between SNPs in EVI5-RPL5 and HLA-DR15 (P = 0.001). [ABSTRACT FROM AUTHOR]