The goal of {hgnc} is to easily import Human Gene Nomenclature into R.
Install {hgnc} from CRAN:
To import the latest HGNC gene data set in tabular format directly into memory as a tibble do as follows:
library(hgnc) # Check the date of HGNC last update last_update() #> [1] "2025-06-17 11:10:30 UTC" # Import the data set in tidy tabular format (hgnc_dataset <- import_hgnc_dataset()) #> # A tibble: 44,117 × 55 #> hgnc_id hgnc_id2 symbol name locus_group locus_type status location #> <chr> <int> <chr> <chr> <chr> <chr> <chr> <chr> #> 1 HGNC:5 5 A1BG alpha-1… protein-co… gene with… Appro… 19q13.43 #> 2 HGNC:37133 37133 A1BG-AS1 A1BG an… non-coding… RNA, long… Appro… 19q13.43 #> 3 HGNC:24086 24086 A1CF APOBEC1… protein-co… gene with… Appro… 10q11.23 #> 4 HGNC:7 7 A2M alpha-2… protein-co… gene with… Appro… 12p13.31 #> 5 HGNC:27057 27057 A2M-AS1 A2M ant… non-coding… RNA, long… Appro… 12p13.31 #> 6 HGNC:23336 23336 A2ML1 alpha-2… protein-co… gene with… Appro… 12p13.31 #> 7 HGNC:41022 41022 A2ML1-AS1 A2ML1 a… non-coding… RNA, long… Appro… 12p13.31 #> 8 HGNC:41523 41523 A2ML1-AS2 A2ML1 a… non-coding… RNA, long… Appro… 12p13.31 #> 9 HGNC:8 8 A2MP1 alpha-2… pseudogene pseudogene Appro… 12p13.31 #> 10 HGNC:30005 30005 A3GALT2 alpha 1… protein-co… gene with… Appro… 1p35.1 #> # ℹ 44,107 more rows #> # ℹ 47 more variables: location_sortable <chr>, alias_symbol <list>, #> # alias_name <list>, prev_symbol <list>, prev_name <list>, gene_group <list>, #> # gene_group_id <list>, date_approved_reserved <date>, #> # date_symbol_changed <date>, date_name_changed <date>, date_modified <date>, #> # entrez_id <chr>, ensembl_gene_id <chr>, vega_id <chr>, ucsc_id <chr>, #> # ena <list>, refseq_accession <list>, ccds_id <list>, uniprot_ids <list>, …
Learn more about this package by reading the documentation at https://www.pattern.institute/hgnc/.
To cite HGNC nomenclature resources use:
To cite data within the database use the following format:
Please include the month and year you retrieved the data cited.
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