Chromatin interactome mapping at 139 independent breast cancer risk signals.

Jonathan BeesleyHaran SivakumaranMahdi Moradi MarjanehLuize G LimaKristine M HillmanSusanne KaufmannNatasha TuanoNehal HusseinSunyoung HamPamela MukhopadhyayStephen KazakoffJason S LeeKyriaki MichailidouDaniel R BarnesAntonis C AntoniouLaura FachalAlison M DunningDouglas F EastonNicola WaddellJoseph RosenbluhAndreas MöllerGeorgia Chenevix-TrenchJuliet D FrenchStacey L Edwards

Published in: Genome biology (2020)

Our results demonstrate the power of combining genetics, computational genomics, and molecular studies to rationalize the identification of key variants and candidate target genes at breast cancer GWAS signals.

Keyphrases

breast cancer risk
genome wide
bioinformatics analysis
copy number
gene expression
high resolution
dna damage
transcription factor
single cell
dna methylation
case control
high density
oxidative stress
mass spectrometry
genome wide analysis