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Dive into the research topics where Maria Ban is active.

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Featured researches published by Maria Ban.


Nature Genetics | 2007

Interleukin 7 receptor α chain ( IL7R ) shows allelic and functional association with multiple sclerosis

Simon G. Gregory; Silke Schmidt; Puneet Seth; Jorge R. Oksenberg; John Hart; Angela Prokop; Stacy J. Caillier; Maria Ban; An Goris; Lisa F. Barcellos; Robin Lincoln; Jacob L. McCauley; Stephen Sawcer; D. A. S. Compston; Bénédicte Dubois; Stephen L. Hauser; Mariano A. Garcia-Blanco; Margaret A. Pericak-Vance; Jonathan L. Haines

Multiple sclerosis is a demyelinating neurodegenerative disease with a strong genetic component. Previous genetic risk studies have failed to identify consistently linked regions or genes outside of the major histocompatibility complex on chromosome 6p. We describe allelic association of a polymorphism in the gene encoding the interleukin 7 receptor α chain ( IL7R ) as a significant risk factor for multiple sclerosis in four independent family-based or case-control data sets (overall P = 2.9 × 10−7). Further, the likely causal SNP, rs6897932, located within the alternatively spliced exon 6 of IL7R, has a functional effect on gene expression. The SNP influences the amount of soluble and membrane-bound isoforms of the protein by putatively disrupting an exonic splicing silencer.


Brain | 2009

The distinct cognitive syndromes of Parkinson's disease: 5 year follow-up of the CamPaIGN cohort

Caroline H. Williams-Gray; Jonathan R. Evans; An Goris; Thomas Foltynie; Maria Ban; Trevor W. Robbins; Carol Brayne; Bhaskar Kolachana; Daniel R. Weinberger; Stephen Sawcer; Roger A. Barker

Cognitive abnormalities are common in Parkinsons disease, with important social and economic implications. Factors influencing their evolution remain unclear but are crucial to the development of targeted therapeutic strategies. We have investigated the development of cognitive impairment and dementia in Parkinsons disease using a longitudinal approach in a population-representative incident cohort (CamPaIGN study, n = 126) and here present the 5-year follow-up data from this study. Our previous work has implicated two genetic factors in the development of cognitive dysfunction in Parkinsons disease, namely the genes for catechol-O-methyltransferase (COMT Val(158)Met) and microtubule-associated protein tau (MAPT) H1/H2. Here, we have explored the influence of these genes in our incident cohort and an additional cross-sectional prevalent cohort (n = 386), and investigated the effect of MAPT H1/H2 haplotypes on tau transcription in post-mortem brain samples from patients with Lewy body disease and controls. Seventeen percent of incident patients developed dementia over 5 years [incidence 38.7 (23.9-59.3) per 1000 person-years]. We have demonstrated that three baseline measures, namely, age >or=72 years, semantic fluency less than 20 words in 90 s and inability to copy an intersecting pentagons figure, are significant predictors of dementia risk, thus validating our previous findings. In combination, these factors had an odds ratio of 88 for dementia within the first 5 years from diagnosis and may reflect the syndrome of mild cognitive impairment of Parkinsons disease. Phonemic fluency and other frontally based tasks were not associated with dementia risk. MAPT H1/H1 genotype was an independent predictor of dementia risk (odds ratio = 12.1) and the H1 versus H2 haplotype was associated with a 20% increase in transcription of 4-repeat tau in Lewy body disease brains. In contrast, COMT genotype had no effect on dementia, but a significant impact on Tower of London performance, a frontostriatally based executive task, which was dynamic, such that the ability to solve this task changed with disease progression. Hence, we have identified three highly informative predictors of dementia in Parkinsons disease, which can be easily translated into the clinic, and established that MAPT H1/H1 genotype is an important risk factor with functional effects on tau transcription. Our work suggests that the dementing process in Parkinsons disease is predictable and related to tau while frontal-executive dysfunction evolves independently with a more dopaminergic basis and better prognosis.


American Journal of Human Genetics | 2005

A high-density screen for linkage in multiple sclerosis.

Stephen Sawcer; Maria Ban; Mel Maranian; Tai Wai Yeo; Alastair Compston; Andrew Kirby; Mark J. Daly; De Jager Pl; Emily Walsh; Eric S. Lander; John D. Rioux; David A. Hafler; Adrian J. Ivinson; Jacqueline Rimmler; Simon G. Gregory; Silke Schmidt; Margaret A. Pericak-Vance; Eva Åkesson; Jan Hillert; Pameli Datta; Annette Bang Oturai; Lars P. Ryder; Hanne F. Harbo; Anne Spurkland; Kjell-Morten Myhr; Mikko Laaksonen; David R. Booth; Robert Heard; Graeme J. Stewart; Robin Lincoln

To provide a definitive linkage map for multiple sclerosis, we have genotyped the Illumina BeadArray linkage mapping panel (version 4) in a data set of 730 multiplex families of Northern European descent. After the application of stringent quality thresholds, data from 4,506 markers in 2,692 individuals were included in the analysis. Multipoint nonparametric linkage analysis revealed highly significant linkage in the major histocompatibility complex (MHC) on chromosome 6p21 (maximum LOD score [MLS] 11.66) and suggestive linkage on chromosomes 17q23 (MLS 2.45) and 5q33 (MLS 2.18). This set of markers achieved a mean information extraction of 79.3% across the genome, with a Mendelian inconsistency rate of only 0.002%. Stratification based on carriage of the multiple sclerosis-associated DRB1*1501 allele failed to identify any other region of linkage with genomewide significance. However, ordered-subset analysis suggested that there may be an additional locus on chromosome 19p13 that acts independent of the main MHC locus. These data illustrate the substantial increase in power that can be achieved with use of the latest tools emerging from the Human Genome Project and indicate that future attempts to systematically identify susceptibility genes for multiple sclerosis will have to involve large sample sizes and an association-based methodology.


Journal of Clinical Investigation | 2009

IL-21 drives secondary autoimmunity in patients with multiple sclerosis, following therapeutic lymphocyte depletion with alemtuzumab (Campath-1H)

Joanne L. Jones; Chia-Ling Phuah; Amanda L. Cox; Sara A. J. Thompson; Maria Ban; Jacqueline Shawcross; Amie Walton; Stephen Sawcer; Alastair Compston; Alasdair Coles

Phase II clinical trials revealed that the lymphocyte-depleting humanized monoclonal antibody alemtuzumab (Campath-1H) is highly effective in the treatment of early relapsing-remitting multiple sclerosis. However, 30% of patients develop autoimmunity months to years after pulsed exposure to alemtuzumab, usually targeting the thyroid gland and, more rarely, blood components. In this study, we show that autoimmunity arose in those patients with greater T cell apoptosis and cell cycling in response to alemtuzumab-induced lymphocyte depletion, a phenomenon that is driven by higher levels of IL-21. Before treatment, patients who went on to develop secondary autoimmunity had more than 2-fold greater levels of serum IL-21 than the nonautoimmune group. We suggest that serum IL-21 may, therefore, serve as a biomarker for the risk of developing autoimmunity months to years after alemtuzumab treatment. This has implications for counseling those patients with multiple sclerosis who are considering lymphocyte-depleting therapy with alemtuzumab. Finally, we demonstrate through genotyping that IL-21 expression is genetically predetermined. We propose that, by driving cycles of T cell expansion and apoptosis to excess, IL-21 increases the stochastic opportunities for T cells to encounter self antigen and, hence, for autoimmunity.


Annals of Neurology | 2007

Tau and α-synuclein in susceptibility to, and dementia in, Parkinson's disease

An Goris; Caroline H. Williams-Gray; Graeme R. Clark; Thomas Foltynie; Simon J.G. Lewis; Joanne Brown; Maria Ban; Maria Grazia Spillantini; Alastair Compston; David J. Burn; Patrick F. Chinnery; Roger A. Barker; Stephen Sawcer

Parkinsons disease (PD) is a neurodegenerative condition that typically presents as a movement disorder but is known to be associated with variable degrees of cognitive impairment including dementia. We investigated the genetic basis of susceptibility to and cognitive heterogeneity of this disease.


Lancet Neurology | 2014

Multiple sclerosis genetics

Stephen Sawcer; Robin J.M. Franklin; Maria Ban

Genome-wide association studies have revolutionised the genetic analysis of multiple sclerosis. Through international collaborative efforts involving tens of thousands of cases and controls, more than 100 associated common variants have now been identified. These variants consistently implicate genes associated with immunological processes, overwhelmingly lie in regulatory rather than coding regions, and are frequently associated with other autoimmune diseases. The functional implications of these associated variants are mostly unknown; however, early work has shown that several variants have effects on splicing that result in meaningful changes in the balance between different isoforms in relevant tissues. Including the well established risk attributable to variants in genes encoding human leucocyte antigens, only about a quarter of reported heritability can now be accounted for, suggesting that a substantial potential for further discovery remains.


Annals of Neurology | 2007

A second major histocompatibility complex susceptibility locus for multiple sclerosis

Tai Wai Yeo; Philip L. De Jager; Simon G. Gregory; Lisa F. Barcellos; Amie Walton; An Goris; Chiara Fenoglio; Maria Ban; Craig J. Taylor; Reyna S. Goodman; Emily Walsh; Cara S Wolfish; Roger Horton; James A. Traherne; Stephan Beck; John Trowsdale; Stacy J. Caillier; Adrian J. Ivinson; Todd Green; Susan Pobywajlo; Eric S. Lander; Margaret A. Pericak-Vance; Jonathan L. Haines; Mark J. Daly; Jorge R. Oksenberg; Stephen L. Hauser; Alastair Compston; David A. Hafler; John D. Rioux; Stephen Sawcer

Variation in the major histocompatibility complex (MHC) on chromosome 6p21 is known to influence susceptibility to multiple sclerosis with the strongest effect originating from the HLA‐DRB1 gene in the class II region. The possibility that other genes in the MHC independently influence susceptibility to multiple sclerosis has been suggested but remains unconfirmed.


Nature | 2013

Negligible impact of rare autoimmune-locus coding-region variants on missing heritability

Karen A. Hunt; Vanisha Mistry; Nicholas A. Bockett; Tariq Ahmad; Maria Ban; Jonathan Barker; Jeffrey C. Barrett; Hannah Blackburn; Oliver J. Brand; Oliver Burren; Francesca Capon; Alastair Compston; Stephen C. L. Gough; Luke Jostins; Yong Kong; James C. Lee; Monkol Lek; Daniel G. MacArthur; John C. Mansfield; Christopher G. Mathew; Charles A. Mein; Muddassar M. Mirza; Sarah Nutland; Suna Onengut-Gumuscu; Efterpi Papouli; Miles Parkes; Stephen S. Rich; Steven Sawcer; Jack Satsangi; Matthew J. Simmonds

Genome-wide association studies (GWAS) have identified common variants of modest-effect size at hundreds of loci for common autoimmune diseases; however, a substantial fraction of heritability remains unexplained, to which rare variants may contribute. To discover rare variants and test them for association with a phenotype, most studies re-sequence a small initial sample size and then genotype the discovered variants in a larger sample set. This approach fails to analyse a large fraction of the rare variants present in the entire sample set. Here we perform simultaneous amplicon-sequencing-based variant discovery and genotyping for coding exons of 25 GWAS risk genes in 41,911 UK residents of white European origin, comprising 24,892 subjects with six autoimmune disease phenotypes and 17,019 controls, and show that rare coding-region variants at known loci have a negligible role in common autoimmune disease susceptibility. These results do not support the rare-variant synthetic genome-wide-association hypothesis (in which unobserved rare causal variants lead to association detected at common tag variants). Many known autoimmune disease risk loci contain multiple, independently associated, common and low-frequency variants, and so genes at these loci are a priori stronger candidates for harbouring rare coding-region variants than other genes. Our data indicate that the missing heritability for common autoimmune diseases may not be attributable to the rare coding-region variant portion of the allelic spectrum, but perhaps, as others have proposed, may be a result of many common-variant loci of weak effect.


Brain | 2013

Glucocerebrosidase mutations influence the natural history of Parkinson's disease in a community-based incident cohort

Sophie Winder-Rhodes; Jonathan R. Evans; Maria Ban; Sarah Mason; Caroline H. Williams-Gray; Thomas Foltynie; Raquel Duran; Niccolo E. Mencacci; Stephen Sawcer; Roger A. Barker

Carriers of mutations in the glucocerebrosidase gene (GBA) are at increased risk of developing Parkinsons disease. The frequency of GBA mutations in unselected Parkinsons disease populations has not been established. Furthermore, no previous studies have investigated the influence of GBA mutations on the natural history of Parkinsons disease using prospective follow-up. We studied DNA from 262 cases who had been recruited at diagnosis into one of two independent community-based incidence studies of Parkinsons disease. In 121 cases, longitudinal data regarding progression of motor disability and cognitive function were derived from follow-up assessments conducted every 18 months for a median of 71 months. Sequencing of the GBA was performed after two-stage polymerase chain reaction amplification. The carrier frequency of genetic variants in GBA was determined. Baseline demographic and clinical variables were compared between cases who were either GBA mutation carriers, polymorphism carriers or wild-type homozygotes. Cox regression analysis was used to model progression to major motor (Hoehn and Yahr stage 3), and cognitive (dementia) end-points in cases followed longitudinally. We show that in a representative, unselected UK Parkinsons disease population, GBA mutations are present at a frequency of 3.5%. This is higher than the prevalence of other genetic mutations currently associated with Parkinsons disease and indicates that GBA mutations make an important contribution to Parkinsons disease encountered in the community setting. Baseline clinical characteristics did not differ significantly between cases with and without GBA sequence variants. However, the hazard ratio for progression both to dementia (5.7, P = 0.003) and Hoehn and Yahr stage 3 (4.2, P = 0.003) were significantly greater in GBA mutation carriers. We also show that carriers of polymorphisms in GBA which are not generally considered to increase Parkinsons disease risk are at significantly increased risk of progression to Hoehn and Yahr stage 3 (3.2, P = 0.004). Our results indicate that genetic variation in GBA has an important impact on the natural history of Parkinsons disease. To our knowledge, this is the first time a genetic locus has been shown to influence motor progression in Parkinsons disease. If confirmed in further studies, this may indicate that GBA mutation status could be used as a prognostic marker in Parkinsons disease. Elucidation of the molecular mechanisms that underlie this effect will further our understanding of the pathogenesis of the disease and may in turn suggest novel therapeutic strategies.


Genes and Immunity | 2009

The expanding genetic overlap between multiple sclerosis and type I diabetes

David R. Booth; Robert Heard; Graeme J. Stewart; An Goris; Rita Dobosi; Bénédicte Dubois; Åslaug R. Lorentzen; Elisabeth G. Celius; Hanne F. Harbo; Anne Spurkland; Tomas Olsson; Ingrid Kockum; Jenny Link; Jan Hillert; Maria Ban; Amie Baker; Stephen Sawcer; Alastair Compston; Tania Mihalova; Richard C. Strange; Clive Hawkins; Gillian Ingram; Neil Robertson; Philip L. De Jager; David A. Hafler; Lisa F. Barcellos; Adrian J. Ivinson; Margaret A. Pericak-Vance; Jorge R. Oksenberg; Stephen L. Hauser

Familial clustering of autoimmune disease is well recognized and raises the possibility that some susceptibility genes may predispose to autoimmunity in general. In light of this observation, it might be expected that some of the variants of established relevance in one autoimmune disease may also be relevant in other related conditions. On the basis of this hypothesis, we tested seven single nucleotide polymorphisms (SNPs) that are known to be associated with type I diabetes in a large multiple sclerosis data set consisting of 2369 trio families, 5737 cases and 10 296 unrelated controls. Two of these seven SNPs showed evidence of association with multiple sclerosis; that is rs12708716 from the CLEC16A gene (P=1.6 × 10−16) and rs763361 from the CD226 gene (P=5.4 × 10−8). These findings thereby identify two additional multiple sclerosis susceptibility genes and lend support to the notion of autoimmune susceptibility genes.

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An Goris

Katholieke Universiteit Leuven

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Bénédicte Dubois

Katholieke Universiteit Leuven

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