Evidence map›Paper›PMID 37370144›Full record

ArticleClinical epigenetics2023

Epigenome-wide association study identifies novel genes associated with ischemic stroke.

Hao Peng, Helena Palma-Gudiel, Carolina Soriano-Tarraga, Jordi Jimenez-Conde, Mingzhi Zhang, Yonghong Zhang, Jinying Zhao

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 14 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

7 authors at 4 institutions in 3 countries.

Hao Peng *Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, China.
Helena Palma-Gudiel *Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA.
Carolina Soriano-TarragaNeurovascular Research Group, Department of Neurology of Hospital del Mar-IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Universitat Autònoma de Barcelona/DCEXS, Universitat Pompeu Fabra, Barcelona, Spain.
Jordi Jimenez-CondeNeurovascular Research Group, Department of Neurology of Hospital del Mar-IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Universitat Autònoma de Barcelona/DCEXS, Universitat Pompeu Fabra, Barcelona, Spain.
Mingzhi ZhangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, China.
Yonghong ZhangDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, China. yhzhang@suda.edu.cn.
Jinying ZhaoDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA. jzhao66@ufl.edu.
Soochow University · CNUniversity of Florida · USHospital del Mar Research Institute · ESPompeu Fabra University · ES

Funding

Genome-wide Profiling of Brain DNA Hydroxymethylome in Alzheimer’s DiseaseRF1AG052476 · NIA · UNIVERSITY OF FLORIDA · PI BENNETT, DAVID ALAN, JIN, PENG · 2016 to 2019
$4.1M
Genome-wide mapping and integrative analysis of DNA 6mA methylome in human AD brainR01AG064786 · NIA · UNIVERSITY OF FLORIDA · PI BENNETT, DAVID ALAN, YAO, BING · 2019 to 2023
$3.3M
Novel Metabolic Predictors of Diabetes in American IndiansR01DK107532 · NIDDK · UNIVERSITY OF FLORIDA · PI FIEHN, OLIVER, ZHAO, JINYING · 2016 to 2019
$3.0M
NIA NIH HHS R01 AG064786NIA NIH HHS RF1 AG052476NIDDK NIH HHS R01 DK107532
6 · The paper itself

Abstract

backgroundDNA methylation has previously been associated with ischemic stroke, but the specific genes and their functional roles in ischemic stroke remain to be determined. Here we aimed to identify differentially methylated genes that play a functional role in ischemic stroke in a Chinese population.

resultsGenome-wide DNA methylation assessed with the Illumina Methylation EPIC Array in a discovery sample including 80 Chinese adults (40 cases vs. 40 controls) found that patients with ischemic stroke were characterized by increased DNA methylation at six CpG loci (individually located at TRIM6, FLRT2, SOX1, SOX17, AGBL4, and FAM84A, respectively) and decreased DNA methylation at one additional locus (located at TLN2). Targeted bisulfite sequencing confirmed six of these differentially methylated probes in an independent Chinese population (853 cases vs. 918 controls), and one probe (located at TRIM6) was further verified in an external European cohort (207 cases vs. 83 controls). Experimental manipulation of DNA methylation in engineered human umbilical vein endothelial cells indicated that the identified differentially methylated probes located at TRIM6, TLN2, and FLRT2 genes may play a role in endothelial cell adhesion and atherosclerosis.

conclusionsAltered DNA methylation of the TRIM6, TLN2, and FLRT2 genes may play a functional role in ischemic stroke in Chinese populations.

Indexed as

EpigenomeIschemic StrokeAdultCpG IslandsDNADNA MethylationEndothelial CellsEpigenesis, GeneticGenome-Wide Association StudyHumansDNAChinese populationCRISPR/dCas9-Dnmt3aDNA methylationEWASIschemic stroke

Identifiers

PMID37370144
PMCPMC10304605
OpenAlexW4382239588

What OpenQuestion holds

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LicenceCC BY
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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.