Evidence map›Paper›PMID 40049170›Full record

ArticleAmerican journal of human genetics2025

Identifying deleterious noncoding variation through gain and loss of CTCF binding activity.

Colby Tubbs, Mary Lauren Benton, Evonne McArthur, John A Capra, Douglas M Ruderfer

Abstract read
In one paragraph

Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Colby TubbsDivision of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: colby.a.tubbs@vanderbilt.edu.
Mary Lauren BentonDepartment of Computer Science, Baylor University, Waco, TX, USA.
Evonne McArthurDepartment of Medicine, University of Washington, Seattle, WA, USA.
John A CapraDepartment of Epidemiology and Biostatistics, Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
Douglas M RuderferDivision of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Digital Genomic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: douglas.ruderfer@vumc.org.

Funding

The Evolution of Gene Regulation and Human DiseaseR35GM127087 · NIGMS · VANDERBILT UNIVERSITY · PI John Anthony Capra · 2018 to 2026
$3.2M
NIGMS NIH HHS R35 GM127087
6 · The paper itself

Abstract

CCCTC binding factor (CTCF) regulates gene expression through DNA binding at thousands of genomic loci. Genetic variation in these CTCF binding sites (CBSs) is an important driver of phenotypic variation, yet extracting those that are likely to have functional consequences in whole-genome sequencing remains challenging. To address this, we develop a hypothesis-driven framework to identify and prioritize CBS variants in gnomAD. We synthesize CTCF's binding patterns at 1,063,878 genomic loci across 214 biological contexts into a summary of binding activity. We find that high binding activity significantly correlates with both conserved nucleotides (Pearson R = 0.35, p < 2.2 × 10

Indexed as

CCCTC-Binding FactorGenetic VariationBinding SitesGenome, HumanHumansPolymorphism, Single NucleotideProtein BindingCCCTC-Binding FactorCTCF protein, humanannotationCTCFCTCF binding sitesdiseasefunctionalnoncodingprioritizationregulatoryselectionvariation

Identifiers

PMID40049170
PMCPMC12081274

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.