Genome biologyMolecular BiologyPeer-reviewed journal article
Chromatin interactome mapping at 139 independent breast cancer risk signals
Jonathan BeesleyiD, Haran SivakumaraniD, Mahdi Moradi MarjanehiD, Luize Goncalves LimaiD, Kristine M. HillmaniD, Susanne Kaufmann, Natasha TuanoiD, Nehal Hussein, Sunyoung Ham, Pamela MukhopadhyayiD, Stephen H. KazakoffiD, Jason S. LeeiD, Kyriaki MichailidouiD, Daniel R. BarnesiD, Antonis C. AntoniouiD, Laura FachaliD, Alison M. DunningiD, Douglas F. EastoniD, Nicola WaddelliD, Joseph RosenbluhiD, Andreas MölleriD, Georgia Chenevix‐TrenchiD, Juliet D. FrenchiD, Stacey L. EdwardsiD
- Citations
- 43
- FWCI
- 2.76
- Field percentile
- top 8%
Abstract
Genome-wide association studies have identified 196 high confidence independent signals associated with breast cancer susceptibility. Variants within these signals frequently fall in distal regulatory DNA elements that control gene expression. We designed a Capture Hi-C array to enrich for chromatin interactions between the credible causal variants and target genes in six human mammary epithelial and breast cancer cell lines. We show that interacting regions are enriched for open chromatin, histone marks for active enhancers and transcription factors relevant to breast biology. We exploit this comprehensive resource to identify candidate target genes at 139 independent breast cancer risk signals, and explore the functional mechanism underlying altered risk at the 12q24 risk region. 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.
- organism: human
- assay: ChIP-seq
- assay: Hi-C
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant effect prediction
- approach: experimental assay
- approach: statistical model
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