Evidence map›Paper›PMID 31106970›Full record

ArticleJournal of cellular and molecular medicine2019

Multi-omics integrative analysis identified SNP-methylation-mRNA: Interaction in peripheral blood mononuclear cells.

Yi-Hua Lu, Bing-Hua Wang, Fei Jiang, Xing-Bo Mo, Long-Fei Wu, Pei He, Xin Lu, Fei-Yan Deng, Shu-Feng Lei

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 31% 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, 17 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Yi-Hua LuCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, P. R. China.ORCID 0000-0002-7186-5373
Bing-Hua WangCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, P. R. China.
Fei JiangCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, P. R. China.
Xing-Bo MoCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, P. R. China.
Long-Fei WuCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, P. R. China.
Pei HeCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, P. R. China.
Xin LuCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, P. R. China.
Fei-Yan DengCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, P. R. China.ORCID 0000-0001-7553-5358
Shu-Feng LeiCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, P. R. China.
Soochow University · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variants have potential influence on DNA methylation and thereby regulate mRNA expression. This study aimed to comprehensively reveal the relationships among SNP, methylation and mRNA, and identify methylation-mediated regulation patterns in human peripheral blood mononuclear cells (PBMCs). Based on in-house multi-omics datasets from 43 Chinese Han female subjects, genome-wide association trios were constructed by simultaneously testing the following three association pairs: SNP-methylation, methylation-mRNA and SNP-mRNA. Causal inference test (CIT) was used to identify methylation-mediated genetic effects on mRNA. A total of 64,184 significant cis-methylation quantitative trait loci (meQTLs) were identified (FDR < 0.05). Among the 745 constructed trios, 464 trios formed SNP-methylation-mRNA regulation chains (CIT). Network analysis (Cytoscape 3.3.0) constructed multiple complex regulation networks among SNP, methylation and mRNA (eg a total of 43 SNPs simultaneously connected to cg22517527 and further to PRMT2, DIP2A and YBEY). The regulation chains were supported by the evidence from 4DGenome database, relevant to immune or inflammatory related diseases/traits, and overlapped with previous eQTLs from dbGaP and GTEx. The results provide new insights into the regulation patterns among SNP, DNA methylation and mRNA expression, especially for the methylation-mediated effects, and also increase our understanding of functional mechanisms underlying the established associations.

Indexed as

AdultDatabases, GeneticDNA MethylationFemaleGene Expression RegulationGene Regulatory NetworksGenome-Wide Association StudyGenomicsHumansInflammationLeukocytes, MononuclearLinkage DisequilibriumPolymorphism, Single NucleotideQuantitative Trait LociRNA, MessengerRNA, MessengerCausal Inference TestDNA methylationintegrative analysisMeQTLsmulti-omics

Identifiers

PMID31106970
PMCPMC6584519
OpenAlexW2945791311

What Socratic 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 Socratic graph.