Evidence map›Paper›PMID 29040751›Full record

ArticleNucleic acids research2018

EpiDenovo: a platform for linking regulatory de novo mutations to developmental epigenetics and diseases.

Fengbiao Mao, Qi Liu, Xiaolu Zhao, Haonan Yang, Sen Guo, Luoyuan Xiao, Xianfeng Li, Huajing Teng, Zhongsheng Sun, Yali Dou

Abstract 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  4. Review of autism spectrum disorder databases for the identification of candidate genes.Database : the journal of biological databases and curation · 2025
    Review
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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

10 authors.

Fengbiao MaoBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China.
Qi LiuState Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China.
Xiaolu ZhaoDepartment of Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
Haonan YangDepartment of Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
Sen GuoBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China.
Luoyuan XiaoDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, China.
Xianfeng LiLaboratory of Medical Genetics, Central South University, Changsha, Hunan, 410078, China.
Huajing TengBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China.
Zhongsheng SunBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China.
Yali DouDepartment of Pathology, University of Michigan, Ann Arbor, MI 48109, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

De novo mutations (DNMs) have been shown to be a major cause of severe early-onset genetic disorders such as autism spectrum disorder and intellectual disability. Over one million DNMs have been identified in developmental disorders by next generation sequencing, but linking these DNMs to the genes that they impact remains a challenge, as the majority of them are embedded in non-coding regions. As most developmental diseases occur in the early stages of development or during childhood, it is crucial to clarify the details of epigenetic regulation in early development in order to interpret the mechanisms underlying developmental disorders. Here, we develop EpiDenovo, a database that is freely available at http://www.epidenovo.biols.ac.cn/, and which provides the associations between embryonic epigenomes and DNMs in developmental disorders, including several neuropsychiatric disorders and congenital heart disease. EpiDenovo provides an easy-to-use web interface allowing users rapidly to find the epigenetic signatures of DNMs and the expression patterns of the genes that they regulate during embryonic development. In summary, EpiDenovo is a useful resource for selecting candidate genes for further functional studies in embryonic development, and for investigating regulatory DNMs as well as other genetic variants causing or underlying developmental disorders.

Indexed as

Databases, GeneticEpigenesis, GeneticMutationAnimalsAutism Spectrum DisorderChildChromatin ImmunoprecipitationDevelopmental DisabilitiesEmbryonic DevelopmentHumansIntellectual DisabilityInternetMiceUser-Computer Interface

Identifiers

PMID29040751
PMCPMC5753195

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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.