# This file contains a short description of the summary data files (n=3, tab-separated) and columns in the summary data files from the
# Epigenome-wide methylation association (EWAS) meta-analysis on Diabetic kidney disease (DKD) in type 1 diabetes (Smyth and Dahlstrom et al, 2022)

# File names and their descrition:

# file 1 name: 'Smyth_and_Dahlstrom_etal_2022_NatComm_EWAS_METAL_Minmodel.txt' 
# file 1 description: Meta-analysis results adjusted for age, sex and six white cell counts

# file 2 name: 'Smyth_and_Dahlstrom_etal_2022_NatComm_EWAS_METAL_MinSmokmodel.txt'
# file 2 description: Meta-analysis results adjusted  for age, sex, six white cell counts, and current smoking status

# file 3 name: 'Smyth_and_Dahlstrom_etal_2022_NatComm_EWAS_METAL_Maxmodel.txt'
# file 3 description: Meta-analysis results adjusted for age, sex, six white cell counts, current smoking status, HbA1c, 
# HDL cholesterol, triglycerides, duration of diabetes and body mass index

# Columns in the summary data files

# MarkerName    - this is the CpG marker name
# Chr		- the chromosome
# Bp.GRCh37	- The baspair position, according to Genome Reference Consortium Human Build 37 (GRCh37)
# Weight    	- the sum of the individual study weights (=N participants) for this marker
# Zscore   	- the combined z-statistic for this marker
# Meta.Pval   	- meta-analysis p-value (=the meta-analyzed FDR adjusted p-values from the individual studies)'
# Direction 	- summary of effect direction for each study (FinnDiane and UK-ROI), with one '+' or '-' per study
# Het.PVal  	- P-value for heterogeneity statistic