Get a table of curated oncogenes

Usage

curatedGenes(api, includeEvidence = TRUE)

Arguments

api: An OncoKB API instance as returned by oncoKB()
includeEvidence: logical(1) Whether to include additional data in the summary and background columns (default: TRUE)

Value

A tibble of curated oncogenes

Examples


oncokb <- oncoKB()
curatedGenes(oncokb)
#> # A tibble: 933 × 13
#>    grch37Isoform grch37RefSeq grch38Isoform grch38RefSeq entrezGeneId hugoSymbol
#>    <chr>         <chr>        <chr>         <chr>               <int> <chr>     
#>  1 ENST00000265… NM_000927.4  ENST00000622… NM_00134894…         5243 ABCB1     
#>  2 ENST00000318… NM_005157.4  ENST00000318… NM_005157.4            25 ABL1      
#>  3 ENST00000502… NM_007314.3  ENST00000502… NM_007314.3            27 ABL2      
#>  4 ENST00000321… NM_139076.2  ENST00000321… NM_139076.2         84142 ABRAXAS1  
#>  5 ENST00000272… NM_020311    ENST00000272… NM_020311           57007 ACKR3     
#>  6 ENST00000331… NM_00119995… ENST00000573… NM_00119995…           71 ACTG1     
#>  7 ENST00000263… NM_00111106… ENST00000263… NM_00111106…           90 ACVR1     
#>  8 ENST00000257… NM_004302    ENST00000257… NM_004302              91 ACVR1B    
#>  9 ENST00000241… NM_001278579 ENST00000241… NM_001278579           92 ACVR2A    
#> 10 ENST00000381… NM_018702.3  ENST00000381… NM_018702.4           105 ADARB2    
#> # ℹ 923 more rows
#> # ℹ 7 more variables: oncogene <lgl>, highestSensitiveLevel <chr>,
#> #   highestResistanceLevel <chr>, summary <chr>, background <chr>, tsg <lgl>,
#> #   highestResistancLevel <chr>