Evidence map›Paper›PMID 42416636›Full record

ArticleJCPP advances2026

Isolating transdiagnostic effects reveals specific genetic profiles in psychiatric disorders.

Engin Keser, Wangjingyi Liao, Andrea G Allegrini, Kaili Rimfeld, Thalia C Eley, Robert Plomin, Margherita Malanchini

Abstract read
In one paragraph

Article in JCPP advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Engin KeserSocial, Genetic and Developmental Psychiatry Centre King's College London London UK.ORCID https://orcid.org/0009-0001-8100-688X
Wangjingyi LiaoSchool of Biological and Behavioural Sciences Queen Mary University of London London UK.
Andrea G AllegriniDepartment of Psychology and Language Science University College London London UK.ORCID https://orcid.org/0000-0003-4048-4292
Kaili RimfeldSocial, Genetic and Developmental Psychiatry Centre King's College London London UK.
Thalia C EleySocial, Genetic and Developmental Psychiatry Centre King's College London London UK.ORCID https://orcid.org/0000-0001-6458-0700
Robert PlominSocial, Genetic and Developmental Psychiatry Centre King's College London London UK.ORCID https://orcid.org/0000-0002-0756-3629
Margherita MalanchiniSocial, Genetic and Developmental Psychiatry Centre King's College London London UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Evidence indicates substantial genetic overlap between psychiatric diagnoses. Accounting for these transdiagnostic effects can sharpen research on disorder-specific genetic architecture and patterns of comorbidity. Methods: We applied genomic structural equation modeling to genome-wide association study summary statistics from 11 major psychiatric disorders to isolate genetic effects shared across disorders (the genomic Results: After accounting for transdiagnostic effects, genetic associations between psychiatric disorders changed substantially, with many correlations attenuated and some showing marked shifts in magnitude and direction. Genetic correlations between psychiatric disorders and external biobehavioural traits showed greater specificity. Conclusion: Removing transdiagnostic effects provides a more nuanced view of the genetic architecture underlying psychiatric disorders and sharpens inference about genetic relationships between disorders and other comorbid traits. This may inform future work on psychiatric classification, prediction, and treatment research.

Indexed as

genetic correlationsGWASp factorpsychiatric disorderstransdiagnostic

Identifiers

PMID42416636
PMCPMC13338967

What Socratic holds

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LicenceCC BY
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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.