| Literature DB >> 34489608 |
Isotta Landi1,2,3,4, Deepak A Kaji5,6,7, Liam Cotter5,6,7,8, Tielman Van Vleck7,8,9,10, Gillian Belbin9,11, Michael Preuss10, Ruth J F Loos10, Eimear Kenny6,9,11, Benjamin S Glicksberg6,7,8, Noam D Beckmann6,7, Paul O'Reilly6, Eric E Schadt6,12, Eric D Achtyes13,14, Peter F Buckley15, Douglas Lehrer16, Dolores P Malaspina5,6, Steven A McCarroll17,18, Mark H Rapaport19,20, Ayman H Fanous21,22, Michele T Pato21, Carlos N Pato21, Tim B Bigdeli21,22, Girish N Nadkarni7,8,9,10, Alexander W Charney23,24,25.
Abstract
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.Entities:
Mesh:
Year: 2021 PMID: 34489608 PMCID: PMC8446329 DOI: 10.1038/s41591-021-01475-7
Source DB: PubMed Journal: Nat Med ISSN: 1078-8956 Impact factor: 53.440