Evidence map›Paper›PMID 27306882›Full record

ArticleGenome biology2016

CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C data.

Jonathan Cairns, Paula Freire-Pritchett, Steven W Wingett, Csilla Várnai, Andrew Dimond, Vincent Plagnol, Daniel Zerbino, Stefan Schoenfelder, Biola-Maria Javierre, Cameron Osborne and 2 more

Abstract read
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 285 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
285citing papers in PubMed, 5 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

285 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Variant-to-gene mapping identifiesbioRxiv : the preprint server for biology · 2026
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  18. Functional characterization of the 9q34.13 locus identifiesbioRxiv : the preprint server for biology · 2026
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225 more citing papers are in PubMed but not listed here.

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

12 authors.

Jonathan CairnsNuclear Dynamics Programme, Babraham Institute, Cambridge, UK.
Paula Freire-PritchettNuclear Dynamics Programme, Babraham Institute, Cambridge, UK.
Steven W WingettNuclear Dynamics Programme, Babraham Institute, Cambridge, UK.
Csilla VárnaiNuclear Dynamics Programme, Babraham Institute, Cambridge, UK.
Andrew DimondNuclear Dynamics Programme, Babraham Institute, Cambridge, UK.
Vincent PlagnolUCL Genetics Institute, London, UK.
Daniel ZerbinoEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK.
Stefan SchoenfelderNuclear Dynamics Programme, Babraham Institute, Cambridge, UK.
Biola-Maria JavierreNuclear Dynamics Programme, Babraham Institute, Cambridge, UK.
Cameron OsborneDepartment of Medical and Molecular Genetics, King's College, London, UK.
Peter FraserNuclear Dynamics Programme, Babraham Institute, Cambridge, UK.
Mikhail SpivakovNuclear Dynamics Programme, Babraham Institute, Cambridge, UK. mikhail.spivakov@babraham.ac.uk.

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council MR/L007150/1
6 · The paper itself

Abstract

Capture Hi-C (CHi-C) is a method for profiling chromosomal interactions involving targeted regions of interest, such as gene promoters, globally and at high resolution. Signal detection in CHi-C data involves a number of statistical challenges that are not observed when using other Hi-C-like techniques. We present a background model and algorithms for normalisation and multiple testing that are specifically adapted to CHi-C experiments. We implement these procedures in CHiCAGO ( http://regulatorygenomicsgroup.org/chicago ), an open-source package for robust interaction detection in CHi-C. We validate CHiCAGO by showing that promoter-interacting regions detected with this method are enriched for regulatory features and disease-associated SNPs.

Indexed as

SoftwareAlgorithmsChromatinChromosomesGenomicsHumansInternetPolymorphism, Single NucleotideChromatinCapture Hi-CConvolution background modelGene regulationNuclear organisationPromoter-enhancer interactionsP value weighting

Identifiers

PMID27306882
PMCPMC4908757

What OpenQuestion holds

Textmetadata
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.