Evidence map›Paper›PMID 30279410›Full record

ArticleTranslational psychiatry2018

A polygenic p factor for major psychiatric disorders.

Saskia Selzam, Jonathan R I Coleman, Avshalom Caspi, Terrie E Moffitt, Robert Plomin

Open access · goldAbstract readTwin Study
In one paragraph

Article in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 4 pooled it
17.2field-weighted citation impact, top 1% 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

85 citing papers in PubMed, 4 syntheses or guidelines pooled it, 186 citations in OpenAlex.

  1. Pooled it
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  17. Childhood trauma and subclinical cin early adulthood: A genetically informative study.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
  18. Article
  19. Genetic risk effects on psychiatric disorders act in sets.medRxiv : the preprint server for health sciences · 2025
    Article
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25 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 2 countries.

Saskia SelzamMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. saskia.selzam@kcl.ac.uk.
Jonathan R I ColemanMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID http://orcid.org/0000-0002-6759-0944
Avshalom CaspiMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Terrie E MoffittMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Robert PlominMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
King's College London · GBDuke University · US

Funding

Colorado Adoption/Twin Study of Lifespan behavioral development & cognitive aging (CATSLife2)R01AG046938 · NIA · UNIVERSITY OF COLORADO · PI REYNOLDS, CHANDRA A, WADSWORTH, SALLY J · 2015 to 2024
$18.5M
Department of HealthMedical Research Council G0901245Medical Research Council G19/2Medical Research Council MR/M021475/1Medical Research Council MR/P005918/1NIA NIH HHS R01 AG046938
6 · The paper itself

Abstract

It has recently been proposed that a single dimension, called the p factor, can capture a person's liability to mental disorder. Relevant to the p hypothesis, recent genetic research has found surprisingly high genetic correlations between pairs of psychiatric disorders. Here, for the first time, we compare genetic correlations from different methods and examine their support for a genetic p factor. We tested the hypothesis of a genetic p factor by applying principal component analysis to matrices of genetic correlations between major psychiatric disorders estimated by three methods-family study, genome-wide complex trait analysis, and linkage-disequilibrium score regression-and on a matrix of polygenic score correlations constructed for each individual in a UK-representative sample of 7 026 unrelated individuals. All disorders loaded positively on a first unrotated principal component, which accounted for 57, 43, 35, and 22% of the variance respectively for the four methods. Our results showed that all four methods provided strong support for a genetic p factor that represents the pinnacle of the hierarchical genetic architecture of psychopathology.

Indexed as

Genetic Predisposition to DiseaseCohort StudiesHumansMental DisordersMultifactorial InheritancePrincipal Component AnalysisTwins

Identifiers

PMID30279410
PMCPMC6168558
OpenAlexW2792311028

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.