IPD-IMGT/HLA Database

Abstract The IPD-IMGT/HLA Database, http://www.ebi.ac.uk/ipd/imgt/hla/, currently contains over 25 000 allele sequence for 45 genes, which are located within the Major Histocompatibility Complex (MHC) of the human genome. This region is the most polymorphic region of the human genome, and the levels...

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Bibliographic Details
Published in:Nucleic acids research Vol. 48; no. D1; pp. D948 - D955
Main Authors: Robinson, James, Barker, Dominic J, Georgiou, Xenia, Cooper, Michael A, Flicek, Paul, Marsh, Steven G E
Format: Journal Article
Language:English
Published: England Oxford University Press 08.01.2020
Subjects:
Alleles
Computational Biology - methods
Database Issue
Databases, Genetic
High-Throughput Nucleotide Sequencing
Histocompatibility Antigens - genetics
Humans
Major Histocompatibility Complex - genetics
Software
Web Browser
ISSN:0305-1048, 1362-4962, 1362-4962
Online Access:Get full text
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Summary:Abstract The IPD-IMGT/HLA Database, http://www.ebi.ac.uk/ipd/imgt/hla/, currently contains over 25 000 allele sequence for 45 genes, which are located within the Major Histocompatibility Complex (MHC) of the human genome. This region is the most polymorphic region of the human genome, and the levels of polymorphism seen exceed most other genes. Some of the genes have several thousand variants and are now termed hyperpolymorphic, rather than just simply polymorphic. The IPD-IMGT/HLA Database has provided a stable, highly accessible, user-friendly repository for this information, providing the scientific and medical community access to the many variant sequences of this gene system, that are critical for the successful outcome of transplantation. The number of currently known variants, and dramatic increase in the number of new variants being identified has necessitated a dedicated resource with custom tools for curation and publication. The challenge for the database is to continue to provide a highly curated database of sequence variants, while supporting the increased number of submissions and complexity of sequences. In order to do this, traditional methods of accessing and presenting data will be challenged, and new methods will need to be utilized to keep pace with new discoveries.
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ISSN:0305-1048
1362-4962
1362-4962
DOI:10.1093/nar/gkz950