Evidence map›Paper›PMID 32709145›Full record

ArticleInternational journal of molecular sciences2020

Integrated Analysis of Tissue-Specific Promoter Methylation and Gene Expression Profile in Complex Diseases.

Kibaick Lee, Sanghoon Moon, Mi-Jin Park, In-Uk Koh, Nak-Hyeon Choi, Ho-Yeong Yu, Young Jin Kim, Jinhwa Kong, Hee Gyung Kang, Song Cheol Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  9. Within subject cross-tissue analyzes of epigenetic clocks in substance use disorder postmortem brain and blood.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2023
    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

11 authors at 3 institutions in 1 country.

Kibaick LeeDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do 28519, Korea.
Sanghoon MoonDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do 28519, Korea.
Mi-Jin ParkDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do 28519, Korea.
In-Uk KohDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do 28519, Korea.
Nak-Hyeon ChoiDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do 28519, Korea.
Ho-Yeong YuDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do 28519, Korea.
Young Jin KimDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do 28519, Korea.
Jinhwa KongDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do 28519, Korea.
Hee Gyung KangDepartment of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Korea.ORCID 0000-0001-8323-5320
Song Cheol KimDepartment of Surgery, Asan Medical Center, AMIST, University of Ulsan College of Medicine, Seoul 05505, Korea.
Bong-Jo KimDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Chungcheongbuk-do 28519, Korea.
Korea National Institute of Health · KRSeoul National University · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated whether the promoter region of DNA methylation positively or negatively regulates tissue-specific genes (TSGs) and if it correlates with disease pathophysiology. We assessed tissue specificity metrics in five human tissues, using sequencing-based approaches, including 52 whole genome bisulfite sequencing (WGBS), 52 RNA-seq, and 144 chromatin immunoprecipitation sequencing (ChIP-seq) data. A correlation analysis was performed between the gene expression and DNA methylation levels of the TSG promoter region. The TSG enrichment analyses were conducted in the gene-disease association network (DisGeNET). The epigenomic association analyses of CpGs in enriched TSG promoters were performed using 1986 Infinium MethylationEPIC array data. A correlation analysis showed significant associations between the promoter methylation and 449 TSGs' expression. A disease enrichment analysis showed that diabetes- and obesity-related diseases were high-ranked. In an epigenomic association analysis based on obesity, 62 CpGs showed statistical significance. Among them, three obesity-related CpGs were newly identified and replicated with statistical significance in independent data. In particular, a CpG (cg17075888 of

Indexed as

DNA MethylationTranscriptomeAnimalsCpG IslandsDiabetes Mellitus, Type 2Epigenesis, GeneticGene Regulatory NetworksGenome, HumanHumansObesityOrgan SpecificityPromoter Regions, GeneticWhole Genome SequencingDNA methylationobesitytissue-specific expressiontype 2 diabetes

Identifiers

PMID32709145
PMCPMC7404266
OpenAlexW3042623902

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.