Dataset Information

Chromatin interactome mapping at 139 independent breast cancer risk signals.

ABSTRACT:

Background

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.

Results

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.

Conclusions

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.

SUBMITTER: Beesley J

PROVIDER: S-EPMC6947858 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Publications

Chromatin interactome mapping at 139 independent breast cancer risk signals.

Beesley Jonathan J Sivakumaran Haran H Moradi Marjaneh Mahdi M Lima Luize G LG Hillman Kristine M KM Kaufmann Susanne S Tuano Natasha N Hussein Nehal N Ham Sunyoung S Mukhopadhyay Pamela P Kazakoff Stephen S Lee Jason S JS Michailidou Kyriaki K Barnes Daniel R DR Antoniou Antonis C AC Fachal Laura L Dunning Alison M AM Easton Douglas F DF Waddell Nicola N Rosenbluh Joseph J Möller Andreas A Chenevix-Trench Georgia G French Juliet D JD Edwards Stacey L SL

Genome biology 20200107 1

<h4>Background</h4>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.<h4>Results</h4>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 ...[more]

PMID: 31910858

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Project description:BackgroundMultiple recent genome-wide association studies (GWAS) have identified a single nucleotide polymorphism (SNP), rs10771399, at 12p11 that is associated with breast cancer risk.MethodWe performed a fine-scale mapping study of a 700 kb region including 441 genotyped and more than 1300 imputed genetic variants in 48,155 cases and 43,612 controls of European descent, 6269 cases and 6624 controls of East Asian descent and 1116 cases and 932 controls of African descent in the Breast Cancer Association Consortium (BCAC; http://bcac.ccge.medschl.cam.ac.uk/ ), and in 15,252 BRCA1 mutation carriers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Stepwise regression analyses were performed to identify independent association signals. Data from the Encyclopedia of DNA Elements project (ENCODE) and the Cancer Genome Atlas (TCGA) were used for functional annotation.ResultsAnalysis of data from European descendants found evidence for four independent association signals at 12p11, represented by rs7297051 (odds ratio (OR) = 1.09, 95 % confidence interval (CI) = 1.06-1.12; P = 3 × 10(-9)), rs805510 (OR = 1.08, 95 % CI = 1.04-1.12, P = 2 × 10(-5)), and rs1871152 (OR = 1.04, 95 % CI = 1.02-1.06; P = 2 × 10(-4)) identified in the general populations, and rs113824616 (P = 7 × 10(-5)) identified in the meta-analysis of BCAC ER-negative cases and BRCA1 mutation carriers. SNPs rs7297051, rs805510 and rs113824616 were also associated with breast cancer risk at P < 0.05 in East Asians, but none of the associations were statistically significant in African descendants. Multiple candidate functional variants are located in putative enhancer sequences. Chromatin interaction data suggested that PTHLH was the likely target gene of these enhancers. Of the six variants with the strongest evidence of potential functionality, rs11049453 was statistically significantly associated with the expression of PTHLH and its nearby gene CCDC91 at P < 0.05.ConclusionThis study identified four independent association signals at 12p11 and revealed potentially functional variants, providing additional insights into the underlying biological mechanism(s) for the association observed between variants at 12p11 and breast cancer risk.

Dataset Information

Chromatin interactome mapping at 139 independent breast cancer risk signals.

Background

Results

Conclusions

Publications

Chromatin interactome mapping at 139 independent breast cancer risk signals.

Similar Datasets

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