Multi-omic approach to identify phenotypic modifiers underlying cerebral demyelination in X-linked adrenoleukodystrophy

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)

NOTE: For use of these data files for processing and reproducing results of the manuscript, please see https://github.com/Phillip-a-richmond/ALD_Modifier_Project.