Evidence map›Paper›PMID 31569011›Full record

ArticlePlacenta2019

Quality control measures for placental sample purity in DNA methylation array analyses.

Qianhui Wan, Shalem Yiner-Lee Leemaqz, Stephen Martin Pederson, Dylan McCullough, Dale Christopher McAninch, Tanja Jankovic-Karasoulos, Melanie Denise Smith, Konstantinos Justinian Bogias, Ning Liu, James Breen and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Placenta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Qianhui WanRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
Shalem Yiner-Lee LeemaqzRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
Stephen Martin PedersonBioinformatics Hub, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia.
Dylan McCulloughRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
Dale Christopher McAninchRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
Tanja Jankovic-KarasoulosRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
Melanie Denise SmithRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
Konstantinos Justinian BogiasRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
Ning LiuAdelaide Medical School, University of Adelaide, Adelaide, SA, Australia; Bioinformatics Hub, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia.
James BreenRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia; Bioinformatics Hub, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA, Australia.
Claire Trelford RobertsRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia.
Tina Bianco-MiottoRobinson Research Institute, University of Adelaide, Adelaide, SA, Australia; School of Agriculture, Food and Wine, University of Adelaide, Adelaide, SA, Australia. Electronic address: tina.bianco@adelaide.edu.au.

Funding

Maternal molecular profiles reflect placental function and development across gestationR01HD089685 · NICHD · UNIVERSITY OF ADELAIDE · PI ROBERTS, CLAIRE · 2016 to 2019
$953k
NICHD NIH HHS R01 HD089685
6 · The paper itself

Abstract

The purity of tissue samples can affect the accuracy and utility of DNA methylation array analyses. This is particularly important for the placenta which is globally hypomethylated compared to other tissues. Placental villous tissue from early pregnancy terminations can be difficult to separate from non-villous tissue, resulting in potentially inaccurate results. We used several methods to identify mixed placenta samples using DNA methylation array datasets from our laboratory and those contained in the NCBI GEO database, highlighting the importance of determining sample purity during quality control processes.

Indexed as

DNA MethylationMicroarray AnalysisFemaleHumansPlacentaPregnancyPrincipal Component AnalysisQuality ControlDNA methylationHuman placentaMethylation Bead ChipQuality control

Identifiers

PMID31569011
PMCPMC7705927

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.