Evidence mapPaperPMID 42416872Full record

ArticleMedizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V2026

Polygenic scores in psychiatric research and clinical practice.

Leonard Frach, Friederike S David, Markus M Nöthen, Andreas J Forstner

Abstract read
In one paragraph

Article in Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V, 2026. 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
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.

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

4 authors.

Leonard FrachUniversity Hospital Bonn, University of Bonn Institute of Human Genetics Venusberg-Campus 1 53127 Bonn Germany.ORCID https://orcid.org/0000-0001-6349-8772
Friederike S DavidUniversity of Bonn, University Hospital Bonn Institute of Human Genetics Venusberg-Campus 1 53127 Bonn Germany.ORCID https://orcid.org/0000-0001-9521-5669
Markus M NöthenUniversity of Bonn, University Hospital Bonn Institute of Human Genetics Venusberg-Campus 1 53127 Bonn Germany.ORCID https://orcid.org/0000-0002-8770-2464
Andreas J ForstnerUniversity of Bonn, University Hospital Bonn Institute of Human Genetics Venusberg-Campus 1 53127 Bonn Germany.ORCID https://orcid.org/0000-0002-1876-6368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polygenic scores are nowadays common tools in psychiatric genetic research and are also increasingly applied in clinical settings. In this article, we give an overview of polygenic scores in psychiatric research, focusing on recent trends and novel applications such as using polygenic scores in family studies. Furthermore, we discuss use cases of polygenic scores in clinical studies and clinical practice, for instance using polygenic scores to predict treatment response to medication. While some challenges of polygenic scores are not unique to psychiatry (e.g. limited reliability or transferability across ancestries), we also highlight the specialties of using polygenic scores in psychiatric research and clinical practice (e.g. clinical and biological heterogeneity across and within psychiatric conditions), as well as limitations of other applications beyond research, e.g. using polygenic scores for psychiatric conditions for embryo selection. We further make the case for careful communication of genetics to patients and the general public. We conclude by providing an outlook which includes future directions and applications of polygenic scores in psychiatric research and clinical practice.

Indexed as

Biological subtypesGenomicsPGSPredictionPsychiatric genetics

Identifiers

PMID42416872
PMCPMC13340641

What Socratic holds

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Registered trials

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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 Socratic graph.