Evidence map›Paper›PMID 29077884›Full record

ArticleNucleic acids research2018

HEDD: Human Enhancer Disease Database.

Zhen Wang, Quanwei Zhang, Wen Zhang, Jhih-Rong Lin, Ying Cai, Joydeep Mitra, Zhengdong D Zhang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

42 citing papers in PubMed, 69 citations in OpenAlex.

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  6. UTERINE FIBROIDS.Physiological reviews · 2025
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  17. A body map of super-enhancers and their function in pig.Frontiers in veterinary science · 2023
    Article
  18. Review
  19. Article
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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

7 authors at 1 institution in 1 country.

Zhen WangDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA.
Quanwei ZhangDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA.
Wen ZhangDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA.
Jhih-Rong LinDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA.
Ying CaiDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA.
Joydeep MitraDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA.
Zhengdong D ZhangDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA.
Albert Einstein College of Medicine · US

Funding

Interpreting human enhancer variants with a network-regularized composite modelR01HG008153 · NHGRI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI ZHANG, ZHENGDONG · 2016 to 2018
$3.1M
NHGRI NIH HHS R01 HG008153
6 · The paper itself

Abstract

Enhancers, as specialized genomic cis-regulatory elements, activate transcription of their target genes and play an important role in pathogenesis of many human complex diseases. Despite recent systematic identification of them in the human genome, currently there is an urgent need for comprehensive annotation databases of human enhancers with a focus on their disease connections. In response, we built the Human Enhancer Disease Database (HEDD) to facilitate studies of enhancers and their potential roles in human complex diseases. HEDD currently provides comprehensive genomic information for ∼2.8 million human enhancers identified by ENCODE, FANTOM5 and RoadMap with disease association scores based on enhancer-gene and gene-disease connections. It also provides Web-based analytical tools to visualize enhancer networks and score enhancers given a set of selected genes in a specific gene network. HEDD is freely accessible at http://zdzlab.einstein.yu.edu/1/hedd.php.

Indexed as

Databases, Nucleic AcidEnhancer Elements, GeneticChromosomes, Human, Pair 9DiseaseGene Regulatory NetworksGenome, HumanGenome-Wide Association StudyHumansInternetMolecular Sequence AnnotationMultifactorial InheritancePolymorphism, Single Nucleotide

Identifiers

PMID29077884
PMCPMC5753236
OpenAlexW2765331947

What OpenQuestion holds

Textmetadata
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.