figshare
Browse
.RDATA
ewas_cellspecific_3yobmi_bval.RData (367.92 MB)
.RDATA
ewas_cellspecific_3yobmi.RData (367.92 MB)
.RDATA
ewas_cellspecific_GDM_bval.RData (367.92 MB)
.RDATA
ewas_cellspecific_GDM.RData (367.92 MB)
1/0
4 files

Detecting cord blood cell type-specific epigenetic associations with gestational diabetes mellitus and early childhood growth

journal contribution
posted on 2021-06-17, 15:03 authored by Tianyuan LuTianyuan Lu
Full summary statistics for cell type-specific epigenome-wide association studies

Open Access article now available at https://clinicalepigeneticsjournal.biomedcentral.com/articles/10.1186/s13148-021-01114-5

ewas_cellspecific_GDM.RData: DNA methylation associated with gestational diabetes mellitus, based on M-values
ewas_cellspecific_GDM_bval.RData: DNA methylation associated with gestational diabetes mellitus, based on beta-values
ewas_cellspecific_3yobmi.RData: DNA methylation associated with age 3 BMI z-score, based on M-values
ewas_cellspecific_3yobmi_bval.RData: DNA methylation associated with age 3 BMI z-score, based on beta-values

Standard outputs generated by CellDMC function implemented in the EpiDISH R package
Each *celldmc* object contains a "dmct" data frame indicating cell type-specific differential methylation and a "coe" data frame detailing estimated coefficients

Funding

FRQS

CIHR

NIH

ADA

History