Evidence map›Paper›PMID 42416878›Full record

ArticleMedizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V2026

Polygenic risk scores in clinical applications - opportunities and challenges.

Johannes Schumacher, Markus M Nöthen, Stefanie Heilmann-Heimbach

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. 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. Polygenic risk scores: en route to clinical practice.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    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

3 authors.

Johannes SchumacherPhilipps University Marburg & University Hospital of Marburg Institute of Human Genetics Baldingerstr. 35043 Marburg Germany.ORCID https://orcid.org/0000-0001-9217-6457
Markus M NöthenUniversity Hospital of Bonn Institute of Human Genetics Sigmund-Freud-Str. 25 53105 Bonn Germany.ORCID https://orcid.org/0000-0002-8770-2464
Stefanie Heilmann-HeimbachUniversity Hospital of Bonn Institute of Human Genetics Sigmund-Freud-Str. 25 53105 Bonn Germany.ORCID https://orcid.org/0000-0003-1057-465X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polygenic risk scores (PRS) are increasingly transitioning from research tools into instruments with direct clinical relevance. This review addresses both opportunities and challenges of PRS across disease contexts. Key applications include risk stratification in multifactorial and monogenic diseases, diagnostic support in etiologically heterogeneous disorders, and pharmacogenomic stratification. These are accompanied by substantial challenges, including limited transferability across diverse populations, insufficient methodological standardization, and barriers to effective risk communication. PRS hold considerable potential to contribute to a more individualized, predictive, and preventive medicine, provided that scientific rigor and responsibility guide their clinical translation.

Identifiers

PMID42416878
PMCPMC13340548

What OpenQuestion holds

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LicenceCC BY
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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.