Evidence map›Paper›PMID 29795670›Full record

ArticlePloS one2018

Decreased DNA methylation of a CpG site in the HBAP1 gene in plasma DNA from pregnant women.

Tanapat Pangeson, Torpong Sanguansermsri, Khwanruedee Mahingsa, Phanchana Sanguansermsri

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact, top 96% of its field
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

4 authors at 2 institutions in 1 country.

Tanapat PangesonDepartment of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand.ORCID 0000-0003-2668-3260
Torpong SanguansermsriThalassemia Research Unit, Institute of Human Genetics, University of Phayao, Phayao, Thailand.
Khwanruedee MahingsaThalassemia Research Unit, Institute of Human Genetics, University of Phayao, Phayao, Thailand.
Phanchana SanguansermsriDepartment of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand.
University of Phayao · THNaresuan University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study is to identify potential CpG site(s) or DNA methylation pattern(s) in the pseudo α-globin 1 gene (HBAP1 gene), the gene which locates in α-thalassemia-1 deletion mutation, to differentiate plasma DNA between pregnant and non-pregnant women.

methodDNA methylation profiles of placenta and peripheral blood from the MethBase database were compared to screen differentially methylated regions. This region was confirmed the differential by methylation-sensitive high resolution melt (MS-HRM) analysis. The differential region was used to compare DNA methylation profile of plasma DNA between pregnant and non-pregnant women by bisulfite amplicon sequencing in three levels: overall, individual CpG sites and individual molecules (DNA methylation patterns).

resultUsing MethBase data, four consecutive CpG sites in the HBAP1 gene were identified as regions of differential DNA methylation between placenta and peripheral blood. The confirmation by MS-HRM showed the differential DNA methylation profile between the placenta and plasma from non-pregnant women. The comparison of DNA methylation profiles between the plasma of pregnant and non-pregnant women showed that, in the overall levels of the four CpG sites, DNA methylation of pregnant women was detected at lower levels than non-pregnant women. In the individual CpG site level, only the second CpG site showed differential DNA methylation between the groups. In the DNA methylation pattern level, there was no strongly significant differences in DNA methylation patterns between the pregnant and non-pregnant groups.

conclusionOur result demonstrated that, in the plasma from pregnant women, only one of the four CpG sites displays a decrease in DNA methylation compared with non-pregnant women. It indicates that this CpG site might be useful for determining the presence or absence of fetal wild-type α-globin gene cluster allele in maternal plasma.

Indexed as

DNA MethylationEpigenesis, Geneticalpha-GlobinsCpG IslandsDNAFemaleHumansPlacentaPregnancyPromoter Regions, GeneticSequence Analysis, DNAalpha-GlobinsDNA

Identifiers

PMID29795670
PMCPMC5967787
OpenAlexW2803997736

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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.