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Data used for multi-enrichment analysis as described in Reese et al 2019 doi:10.1016/j.jaci.2018.11.043, Epigenome-wide meta-analysis of DNA methylation and childhood asthma. It is provided for convenient testing of multienrichjam.

Usage

Memtest

Reese_genes

Format

Memtest is a Mem multi-enrichment object including two enrichment tests 'Newborns' and 'OlderChildren'

Reese_genes is a list with names 'Newborns' and 'OlderChildren', each with a character vector of gene symbols, named by ENTREZID, representing genes associated with each cohort. For example, the names(Reese_genes$Newborns) may be useful for pathway enrichment methods that expect Entrez gene ID as input.

Source

Reese et al 2019 doi:10.1016/j.jaci.2018.11.043, Epigenome-wide meta-analysis of DNA methylation and childhood asthma

Details

Memtest is a Mem object with enrichment results for 'Newborns' and 'OlderChildren'.

A minor change was made to published data:

  • Gene symbols were updated to current Entrez gene symbols as of November 2025. This process changed 'INADL' to 'PATJ' in the enrichment results.

  • Two additional genes were updated in 'geneHitIM' for genes not present in the IPA pathway results.

  • The Reese_genes data were also updated for consistency, and to ensure that the names(Reese_genes) using Entrez ID would be consistent with the gene symbols shown. Finally, the genes in Reese_genes should be usable for other pathway enrichment tests.

See also

Examples

# Mem data for Reese 2019 cohorts
data(Memtest)
# enrichment names
names(Memtest)
#> [1] "Newborns"      "OlderChildren"
# genes represented
genes(Memtest)
#>  [1] "ADCY3"   "CASP8"   "CITED2"  "DDIT4"   "IGF1R"   "IL4"     "MS4A2"  
#>  [8] "NAPA"    "NR0B2"   "PATJ"    "POLR2B"  "PPP2CA"  "PRKAR2B" "PRKCH"  
#> [15] "PRKCZ"   "RBL2"    "RPS6KA2" "RPS23"   "RPTOR"   "SLC7A1"  "SMARCD3"
#> [22] "YWHAQ"  
# gene sets, pathways represented
sets(Memtest)
#>  [1] "Huntington's Disease Signaling"                                       
#>  [2] "mTOR Signaling"                                                       
#>  [3] "Role Of Nfat In Cardiac Hypertrophy"                                  
#>  [4] "RAR Activation"                                                       
#>  [5] "Creb Signaling In Neurons"                                            
#>  [6] "Tight Junction Signaling"                                             
#>  [7] "Dopamine-Darpp32 Feedback In Camp Signaling"                          
#>  [8] "Hepatic Cholestasis"                                                  
#>  [9] "eNOS Signaling"                                                       
#> [10] "Production Of Nitric Oxide And Reactive Oxygen Species In Macrophages"
#> [11] "Synaptic Long Term Depression"                                        
#> [12] "Fc Epsilon RI Signaling"                                              
#> [13] "Glioma Signaling"                                                     
#> [14] "HIPPO Signaling"                                                      
#> [15] "Growth Hormone Signaling"                                             
#> [16] "p70S6K Signaling"                                                     

# Reese 2019 genes by cohort
data(Reese_genes)
# Number of genes per cohort
lengths(Reese_genes)
#>      Newborns OlderChildren 
#>            41           162 

# first 6 gene symbols for Newborns
head(Reese_genes$Newborns)
#>       6296         87      11174      80216      79572     552889 
#>    "ACSM3"    "ACTN1"  "ADAMTS6"    "ALPK1"  "ATP13A3" "ATXN7L3B" 

# first 6 Entrez gene IDs for OlderChildren
head(names(Reese_genes$OlderChildren))
#> [1] "23457" "11332" "54"    "109"   "285"   "56311"