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1.
Nature ; 476(7359): 214-9, 2011 Aug 10.
Article in English | MEDLINE | ID: mdl-21833088

ABSTRACT

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.


Subject(s)
Genetic Predisposition to Disease/genetics , Immunity, Cellular/immunology , Multiple Sclerosis/genetics , Multiple Sclerosis/immunology , Alleles , Cell Differentiation/immunology , Europe/ethnology , Genome, Human/genetics , Genome-Wide Association Study , HLA-A Antigens/genetics , HLA-DR Antigens/genetics , HLA-DRB1 Chains , Humans , Immunity, Cellular/genetics , Major Histocompatibility Complex/genetics , Polymorphism, Single Nucleotide/genetics , Sample Size , T-Lymphocytes, Helper-Inducer/cytology , T-Lymphocytes, Helper-Inducer/immunology
2.
Pac Symp Biocomput ; : 359-70, 2010.
Article in English | MEDLINE | ID: mdl-19908388

ABSTRACT

The immune response HLA class II DRB1 gene provides the major genetic contribution to Juvenile Idiopathic Arthritis (JIA), with a hierarchy of predisposing through intermediate to protective effects. With JIA, and the many other HLA associated diseases, it is difficult to identify the combinations of biologically relevant amino acid (AA) residues directly involved in disease due to the high level of HLA polymorphism, the pattern of AA variability, including varying degrees of linkage disequilibrium (LD), and the fact that most HLA variation occurs at functionally important sites. In a subset of JIA patients with the clinical phenotype oligoarticular-persistent (OP), we have applied a recently developed novel approach to genetic association analyses with genes/proteins sub-divided into biologically relevant smaller sequence features (SFs), and their "alleles" which are called variant types (VTs). With SFVT analysis, association tests are performed on variation at biologically relevant SFs based on structural (e.g., beta-strand 1) and functional (e.g., peptide binding site) features of the protein. We have extended the SFVT analysis pipeline to additionally include pairwise comparisons of DRB1 alleles within serogroup classes, our extension of the Salamon Unique Combinations algorithm, and LD patterns of AA variability to evaluate the SFVT results; all of which contributed additional complementary information. With JIA-OP, we identified a set of single AA SFs, and SFs in which they occur, particularly pockets of the peptide binding site, that account for the major disease risk attributable to HLA DRB1. These are (in numeric order): AAs 13 (pockets 4 and 6), 37 and 57 (both pocket 9), 67 (pocket 7), 74 (pocket 4), and 86 (pocket 1), and to a lesser extent 30 (pockets 6 and 7) and 71 (pockets 4, 5, and 7).


Subject(s)
Arthritis, Juvenile/genetics , Arthritis, Juvenile/immunology , HLA-DRB1 Chains/genetics , Case-Control Studies , Child , Computational Biology , Gene Frequency , Genetic Association Studies/statistics & numerical data , Genetic Predisposition to Disease , Genetic Variation , HLA-DRB1 Chains/chemistry , Haplotypes , Humans , Linkage Disequilibrium
3.
Hum Mol Genet ; 19(4): 707-19, 2010 Feb 15.
Article in English | MEDLINE | ID: mdl-19933168

ABSTRACT

We describe a novel approach to genetic association analyses with proteins sub-divided into biologically relevant smaller sequence features (SFs), and their variant types (VTs). SFVT analyses are particularly informative for study of highly polymorphic proteins such as the human leukocyte antigen (HLA), given the nature of its genetic variation: the high level of polymorphism, the pattern of amino acid variability, and that most HLA variation occurs at functionally important sites, as well as its known role in organ transplant rejection, autoimmune disease development and response to infection. Further, combinations of variable amino acid sites shared by several HLA alleles (shared epitopes) are most likely better descriptors of the actual causative genetic variants. In a cohort of systemic sclerosis patients/controls, SFVT analysis shows that a combination of SFs implicating specific amino acid residues in peptide binding pockets 4 and 7 of HLA-DRB1 explains much of the molecular determinant of risk.


Subject(s)
Genetic Variation , HLA Antigens/genetics , Scleroderma, Systemic/genetics , HLA Antigens/chemistry , HLA-DR Antigens/chemistry , HLA-DR Antigens/genetics , HLA-DRB1 Chains , Humans , Molecular Conformation
4.
Nucleic Acids Res ; 37(Database issue): D1013-7, 2009 Jan.
Article in English | MEDLINE | ID: mdl-18838392

ABSTRACT

It is 10 years since the IMGT/HLA database was released, providing the HLA community with a searchable repository of highly curated HLA sequences. The HLA complex is located within the 6p21.3 region of human chromosome 6 and contains more than 220 genes of diverse function. Many of the genes encode proteins of the immune system and are highly polymorphic. The naming of these HLA genes and alleles, and their quality control is the responsibility of the WHO Nomenclature Committee for Factors of the HLA System. Through the work of the HLA Informatics Group and in collaboration with the European Bioinformatics Institute, we are able to provide public access to this data through the website http://www.ebi.ac.uk/imgt/hla/. The first release contained 964 sequences, the most recent release 3300 sequences, with around 450 new sequences been added each year. The tools provided on the website have been updated to allow more complex alignments, which include genomic sequence data, as well as the development of tools for probe and primer design and the inclusion of data from the HLA Dictionary. Regular updates to the website ensure that new and confirmatory sequences are dispersed to the HLA community, and the wider research and clinical communities.


Subject(s)
Alleles , Databases, Nucleic Acid , HLA Antigens/genetics , Humans , Polymorphism, Genetic
5.
Hum Mutat ; 27(12): 1192-9, 2006 Dec.
Article in English | MEDLINE | ID: mdl-16944494

ABSTRACT

The IMGT/HLA database (www.ebi.ac.uk/imgt/hla) has provided a centralized repository for the sequences of the alleles named by the WHO Nomenclature Committee for Factors of the HLA System since 1998. Since its initial release, the database has rapidly grown in size and is recognized as the primary source of information for the study of sequences of the human major histocompatibility complex. The Immuno Polymorphism Database (IPD; www.ebi.ac.uk/ipd) is a set of specialist databases related to the study of polymorphic genes in the immune system. The IPD currently consists of four databases: IPD-KIR contains the allelic sequences of killer-cell immunoglobulin-like receptors; IPD-MHC is a database of sequences of the major histocompatibility complex of different species; IPD-HPA contains alloantigens expressed only on platelets (human platelet antigens or HPA); and IPD-ESTDAB provides access to the European Searchable Tumour Cell-Line Database, a cell bank of immunologically characterized melanoma cell lines.


Subject(s)
Databases, Genetic , HLA Antigens/classification , Major Histocompatibility Complex , Alleles , Antigens, Human Platelet/genetics , Base Sequence , HLA Antigens/genetics , Humans , Major Histocompatibility Complex/genetics , Molecular Sequence Data , Sequence Homology, Nucleic Acid
6.
Immunogenetics ; 57(12): 953-8, 2006 Jan.
Article in English | MEDLINE | ID: mdl-16389556

ABSTRACT

Nomenclature for Major Histocompatibility Complex (MHC) genes and alleles in species other than humans and mice has historically been overseen either informally by groups generating sequences, or by formal nomenclature committees set up by the International Society for Animal Genetics (ISAG). The suggestion for a Comparative MHC Nomenclature Committee was made at the ISAG meeting held in Göttingen, Germany (2002), and the committee met for the first time at the Institute for Animal Health, Compton, UK in January 2003. To publicize its activity and extend its scope, the committee organized a workshop at the International Veterinary Immunology Symposium (IVIS) in Quebec (2004) where it was decided to affiliate with the Veterinary Immunology Committee (VIC) of the International Union of Immunological Societies (IUIS). The goals of the committee are to establish a common framework and guidelines for MHC nomenclature in any species; to demonstrate this in the form of a database that will ensure that in the future, researchers can easily access a source of validated MHC sequences for any species; to facilitate discussion on this area between existing groups and nomenclature committees. A further meeting of the committee was held in September 2005 in Glasgow, UK. This was attended by most of the existing committee members with some additional invited participants (Table 1). The aims of this meeting were to facilitate the inclusion of new species onto the database, to discuss extension, improvement and funding of the database, and to address a number of nomenclature issues raised at the previous workshop.


Subject(s)
Major Histocompatibility Complex , Terminology as Topic , Advisory Committees , Animals , Chickens/genetics , Chickens/immunology , Databases, Genetic , Fishes/genetics , Fishes/immunology , Horses/genetics , Horses/immunology , International Agencies , Polymorphism, Genetic , Sheep/genetics , Sheep/immunology , Societies, Scientific
7.
Nucleic Acids Res ; 33(Database issue): D523-6, 2005 Jan 01.
Article in English | MEDLINE | ID: mdl-15608253

ABSTRACT

The Immuno Polymorphism Database (IPD) (http://www.ebi.ac.uk/ipd/) is a set of specialist databases related to the study of polymorphic genes in the immune system. IPD currently consists of four databases: IPD-KIR, contains the allelic sequences of Killer-cell Immunoglobulin-like Receptors; IPD-MHC, a database of sequences of the Major Histocompatibility Complex of different species; IPD-HPA, alloantigens expressed only on platelets; and IPD-ESTAB, which provides access to the European Searchable Tumour Cell-Line Database, a cell bank of immunologically characterized melanoma cell lines. The IPD project works with specialist groups or nomenclature committees who provide and curate individual sections before they are submitted to IPD for online publication. The IPD project stores all the data in a set of related databases. Those sections with similar data, such as IPD-KIR and IPD-MHC share the same database structure. The sharing of a common database structure makes it easier to implement common tools for data submission and retrieval. The data are currently available online from the website and ftp directory; files will also be made available in different formats to download from the website and ftp server. The data will also be included in SRS, BLAST and FASTA search engines at the European Bioinformatics Institute.


Subject(s)
Databases, Genetic , Immunogenetics , Polymorphism, Genetic , Animals , Antigens, Human Platelet/genetics , Cell Line, Tumor , Database Management Systems , Humans , Major Histocompatibility Complex , Melanoma/immunology , Receptors, Immunologic/genetics , Receptors, KIR , Sequence Alignment , Systems Integration
8.
Nucleic Acids Res ; 31(1): 311-4, 2003 Jan 01.
Article in English | MEDLINE | ID: mdl-12520010

ABSTRACT

The IMGT/HLA database (http://www.ebi.ac.uk/imgt/hla) has provided a centralized repository for the sequences of the alleles named by the WHO Nomenclature Committee for Factors of the HLA System for the past four years. Since its initial release the database has grown and is the primary source of information for the study of sequences of the human major histocompatibilty complex. The initial release of the database contained a limited number of tools. As a result of feedback from our users and developments in HLA we have been able to provide new tools and facilities. The HLA sequences have also been extended to include intron sequences and the 3' and 5' untranslated regions in the alignments and also the inclusion of new genes such as MICA. The IMGT/MHC database (http://www.ebi.ac.uk/imgt/mhc) was released in March 2002 to provide a similar resource for other species. The first release of IMGT/MHC contains the sequences of non-human primates (apes, new and old world monkeys), canines and feline sequences. Further species will be added shortly and the database aims to become the primary source of MHC data for non-human sequences.


Subject(s)
Databases, Genetic , Histocompatibility Antigens/genetics , Major Histocompatibility Complex , Alleles , Amino Acid Sequence , Animals , Base Sequence , Cats , Dogs , Histocompatibility Antigens/chemistry , Humans , Primates , Sequence Alignment
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