Evidence map›Paper›PMID 31838871›Full record

ArticleThe American journal of psychiatry2020

Distinct Polygenic Score Profiles in Schizophrenia Subgroups With Different Trajectories of Cognitive Development.

Dwight Dickinson, Sofia R Zaidman, Evan J Giangrande, Daniel P Eisenberg, Michael D Gregory, Karen F Berman

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
9.0field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
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  4. Polygenic risk meets early trauma: toward a neuropsychodevelopmental model of schizophrenia.Journal of neural transmission (Vienna, Austria : 1996) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Dwight DickinsonClinical and Translational Neuroscience Branch, NIMH, Bethesda, Md.
Sofia R ZaidmanClinical and Translational Neuroscience Branch, NIMH, Bethesda, Md.
Evan J GiangrandeClinical and Translational Neuroscience Branch, NIMH, Bethesda, Md.
Daniel P EisenbergClinical and Translational Neuroscience Branch, NIMH, Bethesda, Md.
Michael D GregoryClinical and Translational Neuroscience Branch, NIMH, Bethesda, Md.
Karen F BermanClinical and Translational Neuroscience Branch, NIMH, Bethesda, Md.
National Institutes of Health · US

Funding

Imaging of Neuropsychiatric Disorders with Developmental and Genetic MechanismsZIAMH002652 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BERMAN, KAREN FAITH · 2009 to 2025
$17.3M
Characterization Of Neuropsychological Impairment In SchizophreniaZIAMH002712 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BERMAN, KAREN FAITH · 2009 to 2014
$3.9M
PET STUDIES OF FRONTAL LOBE IN NEUROPSYCHIATRIC DISEASE, SCHIZOPHRENIAZ01MH002652 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BERMAN, KAREN FAITH · 1993 to 2008
$2.0M
Intramural NIH HHS Z01 MH002652Intramural NIH HHS Z99 MH999999Intramural NIH HHS ZIA MH002712
6 · The paper itself

Abstract

objectiveDifferent cognitive development histories in schizophrenia may reflect variation across dimensions of genetic influence. The authors derived and characterized cognitive development trajectory subgroups within a schizophrenia sample and profiled the subgroups across polygenic scores (PGSs) for schizophrenia, cognition, educational attainment, and attention deficit hyperactivity disorder (ADHD).

methodsDemographic, clinical, and genetic data were collected at the National Institute of Mental Health from 540 schizophrenia patients, 247 unaffected siblings, and 844 control subjects. Cognitive trajectory subgroups were derived through cluster analysis using estimates of premorbid and current IQ. PGSs were generated using standard methods. Associations were tested using general linear models and logistic regression.

resultsCluster analyses identified three cognitive trajectory subgroups in the schizophrenia group: preadolescent cognitive impairment (19%), adolescent disruption of cognitive development (44%), and cognitively stable adolescent development (37%). Together, the four PGSs significantly predicted 7.9% of the variance in subgroup membership. Subgroup characteristics converged with genetic patterns. Cognitively stable individuals had the best adult clinical outcomes and differed from control subjects only in schizophrenia PGSs. Those with adolescent disruption of cognitive development showed the most severe symptoms after diagnosis and were cognitively impaired. This subgroup had the highest schizophrenia PGSs and had disadvantageous cognitive PGSs relative to control subjects and cognitively stable individuals. Individuals showing preadolescent impairment in cognitive and academic performance and poor adult outcome exhibited a generalized PGS disadvantage relative to control subjects and were the only subgroup to differ significantly in education and ADHD PGSs.

conclusionsSubgroups derived from patterns of premorbid and current IQ showed different premorbid and clinical characteristics, which converged with broad genetic profiles. Simultaneous analysis of multiple PGSs may contribute to useful clinical stratification in schizophrenia.

Indexed as

Adolescent DevelopmentSchizophrenic PsychologyAdolescentAdultAttention Deficit Disorder with HyperactivityCase-Control StudiesCluster AnalysisCognitionCognitive DysfunctionDisease ProgressionEducational StatusFemaleGenetic Predisposition to DiseaseHumansIntelligenceIntelligence TestsCognitionDevelopmental TrajectoryGeneticsPolygenic ScorePremorbid IQSchizophrenia

Identifiers

PMID31838871
PMCPMC9627722
OpenAlexW2994816164

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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.