Evidence map›Paper›PMID 31910858›Full record

ArticleGenome biology2020

Chromatin interactome mapping at 139 independent breast cancer risk signals.

Jonathan Beesley, Haran Sivakumaran, Mahdi Moradi Marjaneh, Luize G Lima, Kristine M Hillman, Susanne Kaufmann, Natasha Tuano, Nehal Hussein, Sunyoung Ham, Pamela Mukhopadhyay and 14 more

Abstract read
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Mutations in NoncodingMolecular cancer research : MCR · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Jonathan BeesleyCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Haran SivakumaranCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Mahdi Moradi MarjanehCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Luize G LimaCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Kristine M HillmanCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Susanne KaufmannCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Natasha TuanoDepartment of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia.
Nehal HusseinCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Sunyoung HamCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Pamela MukhopadhyayCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Stephen KazakoffCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Jason S LeeCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Kyriaki MichailidouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Daniel R BarnesCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Antonis C AntoniouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Laura FachalCentre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
Alison M DunningCentre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
Douglas F EastonCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Nicola WaddellCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Joseph RosenbluhDepartment of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia.
Andreas MöllerCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Georgia Chenevix-TrenchCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Juliet D FrenchCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia. Juliet.French@qimrberghofer.edu.au.
Stacey L EdwardsCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia. Stacey.Edwards@qimrberghofer.edu.au.ORCID 0000-0001-7428-4139

Funding

Cancer Research UK 16563Cancer Research UK 16565Cancer Research UK 20861
6 · The paper itself

Abstract

backgroundGenome-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.

resultsWe 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.

conclusionsOur 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.

Indexed as

Breast NeoplasmsCell Line, TumorChromatinGenome, HumanGenome-Wide Association StudyHumansChromatin

Identifiers

PMID31910858
PMCPMC6947858

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.