Evidence map›Paper›PMID 41321426›Full record

ArticleBiological psychiatry global open science2026

Association Between Maternal Genome-Wide Polygenic Scores for Psychiatric and Neurodevelopmental Disorders and Adverse Perinatal Events: A Danish Population-Based Study.

Fenfen Ge, Yue Wang, Xiaoqin Liu, Trine Munk-Olsen, Kathrine Bang Madsen, Emil Michael Pedersen, Clara Albiñana, Esben Agerbo, Cynthia M Bulik, Liselotte Vogdrup Petersen and 2 more

Abstract read
In one paragraph

Article in Biological psychiatry global open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Fenfen GeCentre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.
Yue WangCentre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.
Xiaoqin LiuThe National Centre for Register-based Research, Department of Public Health, Aarhus University, Aarhus, Denmark.
Trine Munk-OlsenThe National Centre for Register-based Research, Department of Public Health, Aarhus University, Aarhus, Denmark.
Kathrine Bang MadsenThe National Centre for Register-based Research, Department of Public Health, Aarhus University, Aarhus, Denmark.
Emil Michael PedersenThe National Centre for Register-based Research, Department of Public Health, Aarhus University, Aarhus, Denmark.
Clara AlbiñanaThe National Centre for Register-based Research, Department of Public Health, Aarhus University, Aarhus, Denmark.
Esben AgerboThe National Centre for Register-based Research, Department of Public Health, Aarhus University, Aarhus, Denmark.
Cynthia M BulikDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Liselotte Vogdrup PetersenThe National Centre for Register-based Research, Department of Public Health, Aarhus University, Aarhus, Denmark.
Unnur A ValdimarsdottirCentre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.
Bjarni Jóhann VilhjálmssonThe National Centre for Register-based Research, Department of Public Health, Aarhus University, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Phenotypic links between psychiatric disorders and adverse perinatal events are increasingly being reported, but the mechanisms remain unclear. In this study, we aimed to assess how polygenic scores (PGSs) for 8 psychiatric conditions influence perinatal risk. Methods: The main analysis included 13,085 mothers and their corresponding birth information. PGSs for psychiatric conditions were estimated using genome-wide association study data (excluding the iPSYCH cohort) via LDpred2 and used as exposures. Ten adverse perinatal events from Danish national registers served as outcomes. Associations were analyzed using logistic or multinomial regression, with false discovery rate correction applied. Results: We found that PGSs for psychiatric conditions were associated with heavy smoking (attention-deficit/hyperactivity disorder [ADHD], anxiety, and depression), lower likelihood of being overweight/obese (schizophrenia, anorexia nervosa, and obsessive-compulsive disorder [OCD]), very young maternal age (<20 years) at childbirth (ADHD, depression, and anxiety), and non-cohabitation (ADHD, schizophrenia, anxiety, and depression). Little evidence of an association between maternal PGSs for psychiatric conditions and birth weight, gestational age, and labor presentation was identified. We identified a novel dose-response relationship in which higher PGSs for ADHD, anxiety, and depression were associated with a greater cumulative burden of adverse perinatal events, whereas higher PGSs for anorexia nervosa and OCD were linked to a lower burden. Conclusions: High genetic liability for psychiatric conditions may partially explain the observed phenotypic associations between maternal mental illness and adverse perinatal events, with higher genetic liability generally associated with either an increase or decrease in the cumulative burden of adverse perinatal events in a dose-response-like manner.

Indexed as

NeonatalPerinatal risk factorsPolygenic scoresPregnancyPsychiatric and Neurodevelopmental disorders

Identifiers

PMID41321426
PMCPMC12657294

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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.