ArticleNature communications2015
Capture Hi-C identifies the chromatin interactome of colorectal cancer risk loci.
Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 2 of them syntheses that pooled it.
What it found
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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.
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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.
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Who cites it
128 citing papers in PubMed, 2 syntheses or guidelines pooled it, 234 citations in OpenAlex.
- Genome-wide association study identifies multiple susceptibility loci for multiple myeloma.Nature communications · 2016Pooled it
- Variation at 2q35 (PNKD and TMBIM1) influences colorectal cancer risk and identifies a pleiotropic effect with inflammatory bowel disease.Human molecular genetics · 2016Pooled it
- Mapping 3D genome organization at nucleosome-scale with Micro-C and Region Capture Micro-C (RCMC).Nature protocols · 2026Review
- iceDP: identifying inter-chromatin engagement via density peaks clustering algorithm.Briefings in bioinformatics · 2026Article
- Dynamics of microcompartment formation at the mitosis-to-G1 transition.Nature structural & molecular biology · 2025Article
- Generating three-dimensional genome structures with a variational quantum algorithm.Briefings in bioinformatics · 2025Article
- Navigating the 3D genome at single-cell resolution: techniques, computation, and mechanistic landscapes.Briefings in bioinformatics · 2025Review
- Mapping chromatin interactions at melanoma susceptibility loci uncovers distant cis-regulatory gene targets.American journal of human genetics · 2025Article
- Mapping HIV-1 RNA structure, homodimers, long-range interactions and persistent domains by HiCapR.eLife · 2025Article
- Read Mapping for Hi-C Analysis.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Systematic prioritization of functional variants and effector genes underlying colorectal cancer risk.Nature genetics · 2024Article
- Crosslinking intensity modulates the reliability and sensitivity of chromatin conformation detection at different structural levels.Communications biology · 2024Article
- Investigation of inherited noncoding genetic variation impacting the pharmacogenomics of childhood acute lymphoblastic leukemia treatment.Nature communications · 2024Article
- scENCORE: leveraging single-cell epigenetic data to predict chromatin conformation using graph embedding.Briefings in bioinformatics · 2024Article
- The shape of chromatin: insights from computational recognition of geometric patterns in Hi-C data.Briefings in bioinformatics · 2023Review
- Predicting scale-dependent chromatin polymer properties from systematic coarse-graining.Nature communications · 2023Article
- Region Capture Micro-C reveals coalescence of enhancers and promoters into nested microcompartments.Nature genetics · 2023Article
- Technologies, strategies, and cautions when deconvoluting genome-wide association signals: FTO in focus.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023Review
- Approaches for Modes of Action Study of Long Non-Coding RNAs: From Single Verification to Genome-Wide Determination.International journal of molecular sciences · 2023Review
- Low input capture Hi-C (liCHi-C) identifies promoter-enhancer interactions at high-resolution.Nature communications · 2023Article
68 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 3 institutions in 1 country.
Funding
Abstract
Multiple regulatory elements distant from their targets on the linear genome can influence the expression of a single gene through chromatin looping. Chromosome conformation capture implemented in Hi-C allows for genome-wide agnostic characterization of chromatin contacts. However, detection of functional enhancer-promoter interactions is precluded by its effective resolution that is determined by both restriction fragmentation and sensitivity of the experiment. Here we develop a capture Hi-C (cHi-C) approach to allow an agnostic characterization of these physical interactions on a genome-wide scale. Single-nucleotide polymorphisms associated with complex diseases often reside within regulatory elements and exert effects through long-range regulation of gene expression. Applying this cHi-C approach to 14 colorectal cancer risk loci allows us to identify key long-range chromatin interactions in cis and trans involving these loci.
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Registered trials
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.