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Prognostic value of polygenic risk scores for adults with psychosis
Author(s) -
Isotta Landi,
Deepak Kaji,
Liam Cotter,
Tielman Van Vleck,
Gillian M. Belbin,
Michael Preuß,
Ruth J. F. Loos,
Eimear E. Kenny,
Benjamin S. Glicksberg,
Noam D. Beckmann,
Paul F. O’Reilly,
Eric E. Schadt,
Eric D. Achtyes,
P.F. Buckley,
Douglas S. Lehrer,
Dolores Malaspina,
Steven A. McCarroll,
Mark Hyman Rapaport,
Ayman H. Fanous,
Michele T. Pato,
Carlos N. Pato,
Tim B. Bigdeli,
Girish N. Nadkarni,
Alexander W. Charney
Publication year - 2021
Publication title -
nature medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 19.536
H-Index - 547
eISSN - 1546-170X
pISSN - 1078-8956
DOI - 10.1038/s41591-021-01475-7
Subject(s) - schizophrenia (object oriented programming) , polygenic risk score , disease , psychosis , medicine , psychiatry , clinical psychology , predictive value , predictive power , psychology , single nucleotide polymorphism , biology , genetics , philosophy , epistemology , genotype , gene
Polygenic risk scores (PRS) summarize genetic liability to a disease at the individual level, and the aim is to use them as biomarkers of disease and poor outcomes in real-world clinical practice. To date, few studies have assessed the prognostic value of PRS relative to standards of care. Schizophrenia (SCZ), the archetypal psychotic illness, is an ideal test case for this because the predictive power of the SCZ PRS exceeds that of most other common diseases. Here, we analyzed clinical and genetic data from two multi-ethnic cohorts totaling 8,541 adults with SCZ and related psychotic disorders, to assess whether the SCZ PRS improves the prediction of poor outcomes relative to clinical features captured in a standard psychiatric interview. For all outcomes investigated, the SCZ PRS did not improve the performance of predictive models, an observation that was generally robust to divergent case ascertainment strategies and the ancestral background of the study participants.

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