Evidence map›Paper›PMID 34550570›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Evaluating Methylation of the Oxytocin Receptor Gene and the Oxytocin Intergenic Region.

Leonora King, Stephanie Robins, Gary Chen, Gustavo Turecki, Phyllis Zelkowitz

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 79% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Leonora KingJewish General Hospital, Lady Davis Institute for Medical Research and Department of Psychiatry, McGill University, Montreal, QC, Canada.
Stephanie RobinsInstitute of Community and Family Psychiatry, Jewish General Hospital and Lady Davis Institute for Medical Research, Montreal, QC, Canada.
Gary ChenMcGill Group for Suicide Studies, Douglas Mental Health University Institute, Montreal, QC, Canada.
Gustavo TureckiMcGill Group for Suicide Studies, Douglas Mental Health University Institute and Department of Psychiatry, McGill University, Montreal, QC, Canada.
Phyllis ZelkowitzJewish General Hospital, Lady Davis Institute for Medical Research and Department of Psychiatry, McGill University, Montreal, QC, Canada. phyllis.zelkowitz@mcgill.ca.
Douglas Mental Health University Institute · CAJewish General Hospital · CAMcGill University · CA

Funding

CIHR MOP-123354
6 · The paper itself

Abstract

Oxytocin and its paralogue, vasopressin, are widely studied biomarkers in relation to pregnancy and birth, maternal and social behavior, and mental health. Epigenetics is a biological mechanism that mediates the link between environmental influences and behavioral patterns. In a candidate gene approach, we describe here a DNA methylation assay of two regions within the oxytocin system, using human buccal cells and next-generation sequencing. Two nanograms of DNA were sufficient to assess the DNA methylation status of 28 CpG sites (22 corresponding to the oxytocin receptor and 6 corresponding to the vasopressin/oxytocin intergenic region). This method proved to be non-invasive for the participants, and reproducible; its validity remains to be confirmed alongside other biomarkers of gene function.

Indexed as

DNA, IntergenicDNA MethylationFemaleHumansMouth MucosaOxytocinPregnancyReceptors, OxytocinVasopressinsDNA, IntergenicOxytocinReceptors, OxytocinVasopressinsDNA methylationEpigeneticsIntergenic regionOXTROxytocinSaliva

Identifiers

PMID34550570
OpenAlexW3200052130

What OpenQuestion holds

Textmetadata
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.