Evidence map›Paper›PMID 31843207›Full record

ArticlePsychiatry research2020

DNA methylation biomarkers prospectively predict both antenatal and postpartum depression.

Jennifer L Payne, Lauren M Osborne, Olivia Cox, John Kelly, Samantha Meilman, Ilenna Jones, Winston Grenier, Karen Clark, Evelyn Ross, Rachel McGinn and 7 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychiatry research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  4. Biomarkers of reproductive psychiatric disorders.The British journal of psychiatry : the journal of mental science · 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

17 authors at 6 institutions in 3 countries.

Jennifer L PayneDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Lauren M OsborneDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Olivia CoxDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
John KellyDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Samantha MeilmanDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ilenna JonesDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Winston GrenierDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Karen ClarkDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Evelyn RossDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Rachel McGinnThe Royal's Institute of Mental Health Research, University of Ottawa, 1145 Carling Avenue, Rm, 6458 Ottawa, Ontario, Canada.
Pathik D WadhwaDepartment of Psychiatry & Human Behavior, UC Irvine Genetic Epidemiology Research Institute, University of California, Irvine, CA, USA.
Sonja EntringerDevelopment, Health and Disease Research Program, University of California, Irvine, CA, USA; Medical Psychology Department, Charité University Medicine Berlin, Berlin, Germany.
Anne L DunlopDepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA.
Anna K KnightDepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA.
Alicia K SmithDepartment of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA.
Claudia BussDevelopment, Health and Disease Research Program, University of California, Irvine, CA, USA; Medical Psychology Department, Charité University Medicine Berlin, Berlin, Germany.
Zachary A KaminskyDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA; The Royal's Institute of Mental Health Research, University of Ottawa, 1145 Carling Avenue, Rm, 6458 Ottawa, Ontario, Canada; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada. Electronic address: zachary.kaminsky@theroyal.ca.
Johns Hopkins University · USEmory University · USJohns Hopkins Medicine · USUniversity of California, Irvine · USRoyal Ottawa Mental Health Centre · CAUniversity of Ottawa · CA

Funding

Prospective Study of Epigenetic Biomarkers of Postpartum DepressionR01MH112704 · NIMH · UNIVERSITY OF VIRGINIA · PI KAMINSKY, ZACHARY AARON, PAYNE, JENNIFER L · 2017 to 2021
$3.2M
Neuroimaging epigenetics of prospective postpartum depression biomarkersR01MH104262 · NIMH · JOHNS HOPKINS UNIVERSITY · PI KAMINSKY, ZACHARY AARON · 2014 to 2018
$2.4M
Genetics of Postpartum Depression in Affective DisordersK23MH074799 · NIMH · JOHNS HOPKINS UNIVERSITY · PI PAYNE, JENNIFER L · 2007 to 2011
$913k
NIMH NIH HHS K23 MH074799NIMH NIH HHS R01 MH104262NIMH NIH HHS R01 MH112704
6 · The paper itself

Abstract

We sought to replicate and expand upon previous work demonstrating antenatal TTC9B and HP1BP3 gene DNA methylation is prospectively predictive of postpartum depression (PPD) with ~80% accuracy. In a preterm birth study from Emory, Illumina MethylEPIC microarray derived 1st but not 3rd trimester biomarker models predicted 3rd trimester Edinburgh Postnatal Depression Scale (EPDS) scores ≥ 13 with an AUC=0.8 (95% CI: 0.63-0.8). Bisulfite pyrosequencing derived biomarker methylation was generated using bisulfite pyrosequencing across all trimesters in a pregnancy cohort at UC Irvine and in 3rd trimester from an independent Johns Hopkins pregnancy cohort. A support vector machine model incorporating 3rd trimester EPDS scores, TTC9B, and HP1BP3 methylation status predicted 4 week to 6 week postpartum EPDS ≥ 13 from 3rd trimester blood in the UC Irvine cohort (AUC=0.78, 95% CI: 0.64-0.78) and from the Johns Hopkins cohort (AUC=0.84, 95% CI: 0.72-0.97), both independent of previous psychiatric diagnosis. Technical replicate predictions in a subset of the Johns Hopkins cohort exhibited strong cross experiment correlation. This study confirms the PPD prediction model has the potential to be developed into a clinical tool enabling the identification of pregnant women at future risk of PPD who may benefit from clinical intervention.

Indexed as

AdultCohort StudiesDepression, PostpartumDNA-Binding ProteinsDNA MethylationFemaleGenetic MarkersHumansInfant, NewbornNerve Tissue ProteinsNuclear ProteinsPredictive Value of TestsPregnancyPrenatal DiagnosisProspective StudiesPsychiatric Status Rating ScalesDNA-Binding ProteinsGenetic MarkersHP1BP3 protein, humanNerve Tissue ProteinsNuclear ProteinsTTC9 protein, humanAntenatal depressionbiomarkerDNA methylationEpigeneticHP1BP3Postpartum depressionTTC9B

Identifiers

PMID31843207
PMCPMC7702696
OpenAlexW2989978599

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.