Evidence map›Paper›PMID 30247654›Full record

ArticleNucleic acids research2019

HACER: an atlas of human active enhancers to interpret regulatory variants.

Jing Wang, Xizhen Dai, Lynne D Berry, Joy D Cogan, Qi Liu, Yu Shyr

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
5.1field-weighted citation impact, top 3% of its field
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

75 citing papers in PubMed, 132 citations in OpenAlex.

  1. Article
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  4. Hypoxia-inducible factors drive miRNA-mediated downregulation ofbioRxiv : the preprint server for biology · 2025
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  10. TFTG: A comprehensive database for human transcription factors and their targets.Computational and structural biotechnology journal · 2024
    Article
  11. Article
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  15. Article
  16. Article
  17. Article
  18. Article
  19. Comprehensive Pan-Cancer Mutation Density Patterns in Enhancer RNA.International journal of molecular sciences · 2023
    Article
  20. Review

15 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

6 authors at 2 institutions in 1 country.

Jing WangCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Xizhen DaiCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Lynne D BerryCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Joy D CoganDepartment of Pediatrics, Vanderbilt University School of Medicine, Nashville, TN, USA.
Qi LiuCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Yu ShyrCenter for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
Vanderbilt-Ingram Cancer Center SPORE in Gastrointestinal CancerP50CA236733 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STEPHEN W. FESIK · 2019 to 2026
$19.6M
Molecular, Cellular and Tissue Characterization UnitU2CCA233291 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COFFEY, ROBERT J. · 2018 to 2023
$12.2M
Barrett's Esophagus Translational Research Network Coordinating CenterU01CA163056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHYR, YU · 2011 to 2016
$2.2M
Barrett's Esophagus Translational Research Network Coordinating Center (BETRNetCC)U24CA163056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHYR, YU · 2017 to 2022
$2.1M
NCI NIH HHS P30 CA068485NCI NIH HHS P50 CA098131NCI NIH HHS P50 CA236733NCI NIH HHS U01 CA163056NCI NIH HHS U24 CA163056NCI NIH HHS U2C CA233291
6 · The paper itself

Abstract

Recent studies have shown that disease-susceptibility variants frequently lie in cell-type-specific enhancer elements. To identify, interpret, and prioritize such risk variants, we must identify the enhancers active in disease-relevant cell types, their upstream transcription factor (TF) binding, and their downstream target genes. To address this need, we built HACER (http://bioinfo.vanderbilt.edu/AE/HACER/), an atlas of Human ACtive Enhancers to interpret Regulatory variants. The HACER atlas catalogues and annotates in-vivo transcribed cell-type-specific enhancers, as well as placing enhancers within transcriptional regulatory networks by integrating ENCODE TF ChIP-Seq and predicted/validated chromatin interaction data. We demonstrate the utility of HACER in (i) offering a mechanistic hypothesis to explain the association of SNP rs614367 with ER-positive breast cancer risk, (ii) exploring tumor-specific enhancers in selective MYC dysregulation and (iii) prioritizing/annotating non-coding regulatory regions targeting CCND1. HACER provides a valuable resource for studies of GWAS, non-coding variants, and enhancer-mediated regulation.

Indexed as

Databases, GeneticEnhancer Elements, GeneticGene Expression RegulationGenetic VariationComputational BiologyGenomicsHumansWeb Browser

Identifiers

PMID30247654
PMCPMC6323890
OpenAlexW2892479680

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.