These are the data tables used to produce results in the publication: "Multi-omic approach to identify phenotypic modifiers underlying cerebral demyelination in X-linked adrenoleukodystrophy." Phillip A. Richmond & Frans van der Kloet et al. Submitting to Frontiers in Cellular and Developmental Biology, 2020, Peroxisomal Special Issue. These tables include normalized measurements from four omics technologies, with no identifying information included. For details on processing, see the manuscript or contact: prichmond (at) cmmt (dot) ubc (dot) ca. Description of Files Sample mapping 20180314_sib_pairs.xlsx Excel sheet describing family numbering, etc. used as a mapping table within the sheets below. Methylation: DMRs_5_Families_ALL_0.10DB_Dec2019.csv Significant methylated regions with delta beta at least 10 percent when a single family is left out ALD_Deconvoluted_Betas_Dec2019.csv All fitted betas for every subject (single CpG) ALD_Limma_Final_Dec2019_CHR.csv All fitted effects using limma modeling per CpG RNA: Count_data.txt The raw count table summed at the gene level using featureCounts. Pvalues_all_23_01_2019.csv All pvalues and log fold changes for the genes included in the modeling process (also with family left out) Tmm_norm_counts_5_2_2020.csv Tmm normalized RNA count data Proteomic Report_Precursor_Peptides.xls The proteomic data as an excel spreadsheet Pvalues_prot_13_3_2019.xlsx The pvalues and log fold changes (also with family left out) Lipids: Lipid_data.csv The lipid data (metabolites with missings are removed) Pvalues_lipids.csv Pvalues for the lipid data (also with family left out)