Abstract

The HUGO Gene Nomenclature Committee (HGNC) based at the European Bioinformatics Institute (EMBL-EBI) assigns unique symbols and names to human genes. To date the HGNC have assigned over 39 000 gene names and, representing an increase of over 5000 entries in the past two years. As well as increasing the size of our database, we have continued redesigning our website http://www.genenames.org and have modified, updated and improved many aspects of the site including a faster and more powerful search, a vastly improved HCOP tool and a REST service to increase the number of ways users can retrieve our data. This article provides an overview of our current online data and resources, and highlights the changes we have made in recent years.

Highlights

  • The HUGO Gene Nomenclature Committee (HGNC) is responsible for providing unique and informative nomenclature for all genes within the human genome [1]

  • HGNC symbols and names are seen as a standard and used in all the major databases that concentrate on human genes and proteins, such as Ensembl [2], UniProt [3], NCBI Gene [4], ENA/GenBank/DDBJ [5,6,7], Vega [8], GeneCards [9] and the UCSC genome browser [10], as well as disease and phenotype resources including Decipher [11], OMIM [12], Locus Reference Genomics (LRG)(13), ClinVar [14] and GeneTests [15]

  • The HGNC aims to name all structural variants annotated on alternative reference loci as described in [26]. These genes can be identified within our Symbol Reports by the Chromosomal Location field, which displays the location plus the term ‘alternate reference locus’ and can be viewed in full using the table provided on our Statistics and Downloads page labelled ‘Alternative Loci Statistics’

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Summary

Introduction

The HUGO Gene Nomenclature Committee (HGNC) is responsible for providing unique and informative nomenclature for all genes within the human genome [1]. We maintain a website http://www.genenames.org that provides a public access portal without any restrictions to the data, with tools to search, download and discover genes, gene families and possible orthologs.

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