Evidence map›Paper›PMID 38066556›Full record

ArticleGenome biology2023

DNA methylation modulated genetic variant effect on gene transcriptional regulation.

Yong Zeng, Rahi Jain, Magnus Lam, Musaddeque Ahmed, Haiyang Guo, Wenjie Xu, Yuan Zhong, Gong-Hong Wei, Wei Xu, Housheng Hansen He

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2023. 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
3.1field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

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  12. Frontiers in psychology · 2025
    Article
  13. Editorial: Methylation in the human brain.Frontiers in genetics · 2025
    Article
  14. Review
  15. Article
  16. Article
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 at 4 institutions in 3 countries.

Yong Zeng *Princess Margaret Cancer Centre, University Health Network, Toronto, Canada. yzeng@uhnresearch.ca.
Rahi Jain *Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Magnus Lam *Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Musaddeque AhmedPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Haiyang GuoDepartment of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China.
Wenjie XuMOE Key Laboratory of Metabolism and Molecular Medicine and Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, China.
Yuan ZhongPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Gong-Hong WeiMOE Key Laboratory of Metabolism and Molecular Medicine and Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, China.
Wei XuDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada. wei.xu@uhnresearch.ca.
Housheng Hansen HePrincess Margaret Cancer Centre, University Health Network, Toronto, Canada. hansenhe@uhnresearch.ca.ORCID 0000-0003-2898-3363
University Health Network · CAShanghai Medical College of Fudan University · CNSecond Hospital of Shandong University · CNUniversity of Toronto · CA

Funding

Canadian Cancer Society Research Institute TAG2018-2061CIHR 142246CIHR 152863CIHR 152864CIHR 159567Terry Fox Research Institute PPG19-1090
6 · The paper itself

Abstract

backgroundExpression quantitative trait locus (eQTL) analysis has emerged as an important tool in elucidating the link between genetic variants and gene expression, thereby bridging the gap between risk SNPs and associated diseases. We recently identified and validated a specific case where the methylation of a CpG site influences the relationship between the genetic variant and gene expression.

resultsHere, to systematically evaluate this regulatory mechanism, we develop an extended eQTL mapping method, termed DNA methylation modulated eQTL (memo-eQTL). Applying this memo-eQTL mapping method to 128 normal prostate samples enables identification of 1063 memo-eQTLs, the majority of which are not recognized as conventional eQTLs in the same cohort. We observe that the methylation of the memo-eQTL CpG sites can either enhance or insulate the interaction between SNP and gene expression by altering CTCF-based chromatin 3D structure.

conclusionsThis study demonstrates the prevalence of memo-eQTLs paving the way to identify novel causal genes for traits or diseases associated with genetic variations.

Indexed as

DNA MethylationGene Expression RegulationChromosome MappingGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotideQuantitative Trait LociChromatin 3D structureCTCFeQTLmeCpGMemo-eQTLSNP

Identifiers

PMID38066556
PMCPMC10709945
OpenAlexW4389488312

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.