Evidence map›Paper›PMID 37198375›Full record

ArticleGenes & genomics2023

DNA methylome profiling of blood to identify individuals in a pair of monozygotic twins.

Jae-Yoon Kim, Hwan Young Lee, So-Yeon Lee, Seon-Young Kim, Jong-Lyul Park, Soong Deok Lee

Abstract readTwin Study
In one paragraph

Article in Genes & genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. 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

6 authors.

Jae-Yoon Kim *Personalized Genomic Medicine Research Center, Korea Research Institute of Bioscience & Biotechnology, Daejeon, 34141, Korea.
Hwan Young Lee *Department of Forensic Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea.
So-Yeon LeeGraduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, 34134, Korea.
Seon-Young KimPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience & Biotechnology, Daejeon, 34141, Korea.
Jong-Lyul ParkPersonalized Genomic Medicine Research Center, Korea Research Institute of Bioscience & Biotechnology, Daejeon, 34141, Korea. nlcguard@kribb.re.kr.ORCID http://orcid.org/0000-0002-7179-6478
Soong Deok LeeDepartment of Forensic Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea. sdlee@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShort tandem repeat (STR) markers cannot be used to distinguish between genetically identical monozygotic (MZ) twins, causing problems in a case with an MZ twin as a suspect. Many studies have shown that in older MZ twins, there are significant differences in overall content and genomic distribution of methylation.

objectiveIn this study, we analyzed the DNA methylome profile of blood to identify recurrent differentially methylated CpG sites (DMCs) to discriminate between MZ twins.

methodsBlood samples were collected from 47 paired MZ twins. We performed the DNA methylation profiling using the HumanMethylation EPIC BeadChip platform and identified recurrent DMCs between MZ twins. Then, Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and motif enrichment analyses were performed to reveal the biological functions of recurrent DMCs. We collected DNA methylome data from the Gene Expression Omnibus (GEO) public database to verify the recurrent DMCs between MZ twins.

resultsWe identified recurrent DMCs between MZ twin samples and observed that they were enriched in immune-related genes. In addition, we verified our DMCs in a public dataset.

conclusionOur results suggest that the methylation level at recurrent DMCs between MZ twins may serve as a valuable biomarker for identification of individuals in a pair of MZ twins.

Indexed as

DNA MethylationEpigenomeAgedCpG IslandsGenomicsHumansTwins, MonozygoticBiomarkerDNA methylationEPIC BeadChipForensicIdentical twin

Identifiers

PMID37198375
PMCPMC10504115

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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.