Schizophrenia polygenic risk score and 20-year course of illness in psychotic disorders.
Adult
Aged
Cohort Studies
Disease Progression
Female
Genetic Predisposition to Disease
Hospitalization
Humans
Linear Models
Male
Middle Aged
Multifactorial Inheritance
New York
Prognosis
Psychiatric Status Rating Scales
Psychotic Disorders
/ genetics
Schizophrenia
/ genetics
Schizophrenic Psychology
Severity of Illness Index
Journal
Translational psychiatry
ISSN: 2158-3188
Titre abrégé: Transl Psychiatry
Pays: United States
ID NLM: 101562664
Informations de publication
Date de publication:
14 11 2019
14 11 2019
Historique:
received:
16
01
2019
accepted:
20
10
2019
revised:
06
09
2019
entrez:
16
11
2019
pubmed:
16
11
2019
medline:
4
9
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 31727878
doi: 10.1038/s41398-019-0612-5
pii: 10.1038/s41398-019-0612-5
pmc: PMC6856168
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
300Subventions
Organisme : NIMH NIH HHS
ID : R01 MH094398
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH110434
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH117646
Pays : United States
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