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Series GSE151732 Query DataSets for GSE151732
Status Public on Oct 16, 2020
Title Racial Disparities in Epigenetic Aging of the Right versus the Left Colon
Organism Homo sapiens
Experiment type Methylation profiling by genome tiling array
Summary Here, we present the first study showing race and side-specific differences in the trajectories of epigenetic aging in normal colonic mucosa. The cohort conisted of matched biopsies of left/right colon from healthy individuals (n=129). The majority of individuals were African American (n=89). Methylation arrays (Illumina EPIC) were performed on DNA extracted from fresh frozen biopsies taken at the time of colonoscopy. Our results provide novel insight of epigenetic aging underlying racial disparities in CRC. Side-specific colonic epigenetic aging may be a promising marker to guide interventions to reduce CRC burden.
 
Overall design Matched left and right colon biopsies from 129 individuals were analyzed using the Illumina EPIC array.
 
Contributor(s) Devall M, Sun X, Yuan F, Cooper GS, Willis J, Weisenberger D, Casey G, Li L
Citation(s) 33377907
NIH grant(s)
Grant ID Grant title Affiliation Name
P20 CA233216 Case Comprehensive Cancer Center (Case CCC) Cancer Health Disparities SPORE Planning Grant CASE WESTERN RESERVE UNIVERSITY LI LI
P50 CA150964 Detection of Advanced Adenoma Via Stool DNA (sDNA) Methylation Testing CASE WESTERN RESERVE UNIVERSITY LI LI
Submission date Jun 03, 2020
Last update date Jan 19, 2021
Contact name Matthew Devall
E-mail(s) mad6kj@virginia.edu
Organization name University of Virginia
Street address 1335 Lee Street
City Charlottesville
State/province Virginia
ZIP/Postal code 22908
Country USA
 
Platforms (1)
GPL23976 Illumina Infinium HumanMethylation850 BeadChip
Samples (256)
GSM4589141 4524A
GSM4589142 4459A
GSM4589143 5334A
Relations
BioProject PRJNA637075

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE151732_RAW.tar 3.5 Gb (http)(custom) TAR (of IDAT)
Processed data included within Sample table

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