Hello, I am a beginner in using R as a tool for RNA seq analysis. I have used the edgeR package to get the differentially expressed. I am able to add the ENTREZ ID as a new column. However, I want to change the rownames of "degs" from ENSEMBL to ENTREZ ID, instead of adding it to a new column. I am attaching the whole code that I have written so far by referring to the edgeR manual. I plan to do the GO and KEGG analysis next. Any help or directions is highly appreciated. Thank you.

# Loading the data
data<- read.csv("gene_count_matrix.csv", header = T, row.names = 1L)
pheno<- read.csv("pheno_sheet.csv", header = T, row.names = 1L)

# Loading data in edgeR and normalizing it
dge<- DGEList(counts=data, group = pheno$Sample)
dge<- calcNormFactors(dge)
cpm<- cpm(dge, log=T)

# Filtering low count genes
keep<- filterByExpr(dge)
dge<- dge[keep,,keep.lib.sizes=FALSE]

# Differential Expression
design<- model.matrix(~pheno$Sample) # row names are 1,2,..8
rownames(design) =colnames(data) # change rownames
dge<- estimateDisp(dge, design)
fit<- glmQLFit(dge, design)
qlf<- glmQLFTest(fit, design)
degs<- topTags(qlf, n=Inf)
degs<- data.frame(degs[["table"]]) # Makes table of results of DGE

# Adding ENTREZ ID to degs as a new column
degs$ENTREZID<- mapIds(org.Mm.eg.db, keys = rownames(degs), keytype = "ENSEMBL", column = "ENTREZID")



sessionInfo( )
R version 4.1.2 (2021-11-01)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252 
[2] LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    
system code page: 65001

attached base packages:
[1] stats4    stats     graphics  grDevices utils    
[6] datasets  methods   base     

other attached packages:
[1] org.Mm.eg.db_3.14.0  AnnotationDbi_1.56.2
[3] IRanges_2.28.0       S4Vectors_0.32.3    
[5] Biobase_2.54.0       BiocGenerics_0.40.0 
[7] edgeR_3.36.0         limma_3.50.0        

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.8             compiler_4.1.2        
 [3] GenomeInfoDb_1.30.1    XVector_0.34.0        
 [5] bitops_1.0-7           tools_4.1.2           
 [7] zlibbioc_1.40.0        bit_4.0.4             
 [9] RSQLite_2.2.9          memoise_2.0.1         
[11] lattice_0.20-45        pkgconfig_2.0.3       
[13] png_0.1-7              rlang_1.0.1           
[15] DBI_1.1.2              cli_3.1.1             
[17] rstudioapi_0.13        fastmap_1.1.0         
[19] GenomeInfoDbData_1.2.7 httr_1.4.2            
[21] Biostrings_2.62.0      vctrs_0.3.8           
[23] locfit_1.5-9.4         bit64_4.0.5           
[25] grid_4.1.2             R6_2.5.1              
[27] blob_1.2.2             splines_4.1.2         
[29] KEGGREST_1.34.0        RCurl_1.98-1.5        
[31] cachem_1.0.6           crayon_1.4.2