Evidence map›Paper›PMID 22495992›Full record

ArticlePrenatal diagnosis2012

Discovery of epigenetic biomarkers for the noninvasive diagnosis of fetal disease.

Kimberly Bunce, Tianjiao Chu, Urvashi Surti, William Allen Hogge, David G Peters

Abstract read
In one paragraph

Article in Prenatal diagnosis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 13 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

5 authors at 2 institutions in 1 country.

Kimberly BunceDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
Tianjiao Chu
Urvashi Surti
William Allen Hogge
David G Peters
University of Pittsburgh · USMagee-Womens Research Institute · US

Funding

Non-Invasive Detection of Fetal Aneuploidy by Next-Generation DNA SequencingR01HD068578 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI PETERS, DAVID GERARD · 2011 to 2015
$2.3M
NICHD NIH HHS 1R01HD068578-01NICHD NIH HHS R01 HD068578
6 · The paper itself

Abstract

objectivesThe primary goal of this study was to identify CpG sites in the human genome that are differentially methylated in DNA obtained from chorionic villus sampling (CVS) samples and gestational age-matched maternal blood cell (MBC) samples.

methodsWe used the HumanMethylation27 DNA Analysis BeadChip to characterize DNA methylation in samples of CVS and MBC. We then selected a subset of differentially methylated CpG sites on chromsome 13 and subjected them to analysis by mass spectrometry using the Epityper platform.

resultsWe identified 718 tissue-specific differentially methylated regions (DMRs) between MBC and CVS; 563 of these were hypermethylated in MBC and hypomethylated in CVS, whereas 155 sites were hypomethylated in MBC and hypermethylated in CVS. Further analysis of 13 DMRs on chromosome 13 by Epityper confirmed the microarray data and provided us with additional data about the methylation patterns of surrounding CpG sites.

conclusionsAnalysis of the resulting data identified a large number of cytosine-guanine dinucleotides that are potential biomarkers for the selective amplification of fetal DNA from maternal plasma and the subsequent noninvasive detection of trisomy 13.

Indexed as

Chorionic Villi SamplingChromosomes, Human, Pair 13Dinucleoside PhosphatesDNADNA MethylationEpigenesis, GeneticFemaleFetal DiseasesGenetic MarkersGestational AgeHumansMicroarray AnalysisPregnancyPrenatal DiagnosisCpG dinucleotideDinucleoside PhosphatesDNAGenetic Markers

Identifiers

PMID22495992
PMCPMC4308692
OpenAlexW1936945158

What OpenQuestion holds

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LicenceTDM
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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.