Evidence map›Paper›PMID 31801612›Full record

ArticleClinical epigenetics2019

Epigenome-wide base-resolution profiling of DNA methylation in chorionic villi of fetuses with Down syndrome by methyl-capture sequencing.

Ji Hyae Lim, Yu-Jung Kang, Bom Yi Lee, You Jung Han, Jin Hoon Chung, Moon Young Kim, Min Hyoung Kim, Jin Woo Kim, Youl-Hee Cho, Hyun Mee Ryu

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Placental biomarkers for the prediction of neurodevelopmental disorders.Frontiers in cell and developmental biology · 2025
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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

10 authors at 7 institutions in 2 countries.

Ji Hyae LimCenter for Biomarker Research and Precision Medicine, CHA Advanced Research Institute, Gyeonggi-do, Republic of Korea.
Yu-Jung KangCenter for Biomarker Research and Precision Medicine, CHA Advanced Research Institute, Gyeonggi-do, Republic of Korea.
Bom Yi LeeSD Genomics Co., Ltd., Seoul, Republic of Korea.
You Jung HanDepartment of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Republic of Korea.
Jin Hoon ChungDepartment of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Republic of Korea.
Moon Young KimDepartment of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Republic of Korea.
Min Hyoung KimDepartment of Obstetrics Gynecology, Mizmedi Hospital, Seoul, Republic of Korea.
Jin Woo KimLaboratory of Medical Genetics, Medical Research Institute, Cheil General Hospital and Women's Healthcare Center, Seoul, Republic of Korea.
Youl-Hee ChoDepartment of Medical Genetics, College of Medicine, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea. yhcho@hanyang.ac.kr.
Hyun Mee RyuCenter for Biomarker Research and Precision Medicine, CHA Advanced Research Institute, Gyeonggi-do, Republic of Korea. hmryu@yahoo.com.
CHA University · KRCHA University Gangnam Medical Center · KRAnyang University · KRCHA University Bundang Medical Center · KRCheil General Hospital and Women's Healthcare Center · KRHanyang University · KRID Genomics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpigenetic mechanisms provide an interface between environmental factors and the genome and are influential in various diseases. These mechanisms, including DNA methylation, influence the regulation of development, differentiation, and establishment of cellular identity. Here, we performed high-throughput methylome profiling to determine whether differential patterns of DNA methylation correlate with Down syndrome (DS). MATERIALS AND

methodsWe extracted DNA from the chorionic villi cells of five normal and five DS fetuses at the early developmental stage (12-13 weeks of gestation). Methyl-capture sequencing (MC-Seq) was used to investigate the methylation levels of CpG sites distributed across the whole genome to identify differentially methylated CpG sites (DMCs) and regions (DMRs) in DS. New functional annotations of DMR genes using bioinformatics tools were predicted.

resultsDNA hypermethylation was observed in DS fetal chorionic villi cells. Significant differences were evident for 4,439 DMCs, including hypermethylation (n = 4,261) and hypomethylation (n = 178). Among them, 140 hypermethylated DMRs and only 1 hypomethylated DMR were located on 121 genes and 1 gene, respectively. One hundred twenty-two genes, including 141 DMRs, were associated with heart morphogenesis and development of the ear, thyroid gland, and nervous systems. The genes were significantly associated with DS and various diseases, including hepatopulmonary syndrome, conductive hearing loss, holoprosencephaly, heart diseases, glaucoma, and musculoskeletal abnormalities.

conclusionsThis is the first study to compare the whole-epigenome DNA methylation pattern of the chorionic villi cells from normal and DS fetuses at the early developmental-stage using MC-seq. Overall, our results indicate that the chorionic villi cells of DS fetuses are hypermethylated in all autosomes and suggested that altered DNA methylation may be a recurrent and functionally relevant downstream response to DS in human cells. This study provides basic information for future research focused on the pathophysiology of the DS and its potential effects, as well as the role DNA methylation plays in the early developmental stage of DS fetuses.

Indexed as

DNA MethylationCase-Control StudiesChorionic VilliCpG IslandsDown SyndromeEpigenomicsFemaleGene Regulatory NetworksHumansMaleMolecular Sequence AnnotationPregnancyPregnancy Trimester, FirstWhole Genome SequencingChorionic villiDNA methylationDown syndromeEpigeneticsMethyl-capture sequencing

Identifiers

PMID31801612
PMCPMC6894197
OpenAlexW2994128675

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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.