Chromatin Accessibility Identifies Regulatory Elements Predictive of Gene Expression and Disease Outcome in Multiple Myeloma.

Benjamin G Barwick Vilas A GuptaShannon M MatulisJonathan C PattonDoris R PowellYanyan GuDavid L JayeKaren N ConneelyYin C LinCraig C HofmeisterAjay K NookaJonathan J KeatsSagar LonialPaula M VertinoLawrence H Boise

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2021)

These data demonstrate the feasibility of using biobanked specimens for retrospective studies of the myeloma epigenome and illustrate the unique enhancer landscapes of myeloma subtypes that are coupled to gene expression and disease progression.

Keyphrases

gene expression
multiple myeloma
dna methylation
genome wide
transcription factor
newly diagnosed
electronic health record
cross sectional
big data
dna damage
case control
deep learning