Evidence map›Paper›PMID 31727878›Full record

ArticleTranslational psychiatry2019

Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders.

Katherine G Jonas, Todd Lencz, Kaiqiao Li, Anil K Malhotra, Greg Perlman, Laura J Fochtmann, Evelyn J Bromet, Roman Kotov

Abstract read
In one paragraph

Article in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
–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

55 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Characterisation of serious mental illness trajectories through transdiagnostic clinical features.The British journal of psychiatry : the journal of mental science · 2026
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  9. Impact of early social isolation on social circuits and behavior: relevance to schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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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

8 authors.

Katherine G JonasDepartment of Psychiatry, Stony Brook University, New York, NY, USA. Katherine.jonas@stonybrookmedicine.edu.ORCID http://orcid.org/0000-0002-1910-223X
Todd LenczDepartments of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, East Garden City, USA.
Kaiqiao LiDepartment of Applied Mathematics and Statistics, Stony Brook University, New York, NY, USA.
Anil K MalhotraDepartments of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, East Garden City, USA.
Greg PerlmanDepartment of Psychiatry, Stony Brook University, New York, NY, USA.
Laura J FochtmannDepartment of Psychiatry, Stony Brook University, New York, NY, USA.
Evelyn J BrometDepartment of Psychiatry, Stony Brook University, New York, NY, USA.
Roman KotovDepartment of Psychiatry, Stony Brook University, New York, NY, USA.

Funding

Genomic Psychiatry CohortR01MH085548 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PATO, CARLOS N, PATO, MICHELE T · 2008 to 2012
$16.3M
International Cohort Collection for Bipolar DisorderR01MH085542 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SMOLLER, JORDAN W · 2008 to 2012
$10.7M
THE EPIDEMIOLOGY OF NEWLY DIAGNOSED PSYCHOTIC DISORDERSR01MH044801 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI BROMET, EVELYN J · 1989 to 2007
$5.0M
Cognitive Genomics as a Window on Neurodevelopment and PsychopathologyR01MH117646 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI TODD LENCZ · 2018 to 2026
$4.7M
Trajectories of Aging in Psychotic Disorders Over 27 YearsR01MH110434 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOTOV, ROMAN I · 2016 to 2020
$4.5M
Trajectories of recovery from psychosis over two decadesR01MH094398 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI KOTOV, ROMAN I · 2011 to 2013
$2.2M
NIMH NIH HHS R01 MH044801NIMH NIH HHS R01 MH085542NIMH NIH HHS R01 MH085548NIMH NIH HHS R01 MH094398NIMH NIH HHS R01 MH110434NIMH NIH HHS R01 MH117646
6 · The paper itself

Abstract

Understanding whether and how the schizophrenia polygenic risk score (SZ PRS) predicts course of illness could improve diagnosis and prognostication in psychotic disorders. We tested whether the SZ PRS predicts symptoms, cognition, illness severity, and diagnostic changes over the 20 years following first admission. The Suffolk County Mental Health Project is an inception cohort study of first-admission patients with psychosis. Patients were assessed six times over 20 years, and 249 provided DNA. Geographically- and demographically-matched never psychotic adults were recruited at year 20, and 205 provided DNA. Symptoms were rated using the Schedule for the Assessment of Positive Symptoms and Schedule for the Assessment of Negative Symptoms. Cognition was evaluated with a comprehensive neuropsychological battery. Illness severity and diagnosis were determined by consensus of study psychiatrists. SZ PRS was significantly higher in first-admission than never psychotic groups. Within the psychosis cohort, the SZ PRS predicted more severe negative symptoms (β = 0.21), greater illness severity (β = 0.28), and worse cognition (β = -0.35), across the follow-up. The SZ PRS was the strongest predictor of diagnostic shifts from affective to non-affective psychosis over the 20 years (AUC = 0.62). The SZ PRS predicts persistent differences in cognition and negative symptoms. The SZ PRS also predicts who among those who appear to have a mood disorder with psychosis at first admission will ultimately be diagnosed with a schizophrenia spectrum disorder. These findings show potential for the SZ PRS to become a tool for diagnosis and treatment planning.

Indexed as

Disease ProgressionMultifactorial InheritanceAdultAgedCohort StudiesFemaleGenetic Predisposition to DiseaseHospitalizationHumansLinear ModelsMaleMiddle AgedNew YorkPrognosisPsychiatric Status Rating ScalesPsychotic Disorders

Identifiers

PMID31727878
PMCPMC6856168

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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.