Evidence map›Paper›PMID 30575722›Full record

ArticleNature communications2018

Human genome-wide measurement of drug-responsive regulatory activity.

Graham D Johnson, Alejandro Barrera, Ian C McDowell, Anthony M D'Ippolito, William H Majoros, Christopher M Vockley, Xingyan Wang, Andrew S Allen, Timothy E Reddy

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Massively parallel reporter assays forbioRxiv : the preprint server for biology · 2026
    Article
  4. Enhancer hubs govern chromatin topology and Th17 cell identity.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Quantifying the impact of genetic mutations on enhancer dynamics.bioRxiv : the preprint server for biology · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. DNA methylation-environment interactions in the human genome.bioRxiv : the preprint server for biology · 2023
    Article
  18. High-throughput screening of glucocorticoid-induced enhancer activity reveals mechanisms of stress-related psychiatric disorders.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. MPRAbase: A Massively Parallel Reporter Assay Database.bioRxiv : the preprint server for biology · 2023
    Article
  20. 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

9 authors.

Graham D JohnsonCenter for Genomic and Computational Biology, Duke University, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0003-0723-4697
Alejandro BarreraCenter for Genomic and Computational Biology, Duke University, Durham, NC, 27708, USA.
Ian C McDowellCenter for Genomic and Computational Biology, Duke University, Durham, NC, 27708, USA.
Anthony M D'IppolitoCenter for Genomic and Computational Biology, Duke University, Durham, NC, 27708, USA.
William H MajorosCenter for Genomic and Computational Biology, Duke University, Durham, NC, 27708, USA.
Christopher M VockleyCenter for Genomic and Computational Biology, Duke University, Durham, NC, 27708, USA.
Xingyan WangDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, 27710, USA.
Andrew S AllenDepartment of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, 27710, USA.
Timothy E ReddyCenter for Genomic and Computational Biology, Duke University, Durham, NC, 27708, USA. tim.reddy@duke.edu.ORCID http://orcid.org/0000-0002-7629-061X

Funding

Decoding and Reprogramming the Corticosteroid Transcriptional Regulatory NetworkU01HG007900 · NHGRI · DUKE UNIVERSITY · PI REDDY, TIMOTHY E · 2015 to 2017
$5.9M
Data commons for 'omic, microscopy and analysis core facilitiesS10OD018164 · OD · DUKE UNIVERSITY · PI WRAY, GREGORY A. · 2014 to 2014
$598k
Functional characterization of regulatory variants associated with maternal hyperglycemiaF32DK115188 · NIDDK · DUKE UNIVERSITY · PI JOHNSON, GRAHAM · 2017 to 2019
$184k
NHGRI NIH HHS U01 HG007900NIDDK NIH HHS F32 DK115188NIH HHS S10 OD018164
6 · The paper itself

Abstract

Environmental stimuli commonly act via changes in gene regulation. Human-genome-scale assays to measure such responses are indirect or require knowledge of the transcription factors (TFs) involved. Here, we present the use of human genome-wide high-throughput reporter assays to measure environmentally-responsive regulatory element activity. We focus on responses to glucocorticoids (GCs), an important class of pharmaceuticals and a paradigmatic genomic response model. We assay GC-responsive regulatory activity across >10

Indexed as

Genome, HumanGene-Environment InteractionGene Expression RegulationGlucocorticoidsHigh-Throughput Screening AssaysHumansRegulatory Elements, TranscriptionalGlucocorticoids

Identifiers

PMID30575722
PMCPMC6303339

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.