Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Observational Study
. 2023 Feb 1;80(2):181-185.
doi: 10.1001/jamapsychiatry.2022.4234.

Associations Between Polygenic Risk Score Loading, Psychosis Liability, and Clozapine Use Among Individuals With Schizophrenia

Collaborators, Affiliations
Observational Study

Associations Between Polygenic Risk Score Loading, Psychosis Liability, and Clozapine Use Among Individuals With Schizophrenia

Bochao D Lin et al. JAMA Psychiatry. .

Abstract

Importance: Predictors consistently associated with psychosis liability and course of illness in schizophrenia (SCZ) spectrum disorders (SSD), including the need for clozapine treatment, are lacking. Longitudinally ascertained medication use may empower studies examining associations between polygenic risk scores (PRSs) and pharmacotherapy choices.

Objective: To examine associations between PRS-SCZ loading and groups with different liabilities to SSD (individuals with SSD taking clozapine, individuals with SSD taking other antipsychotics, their parents and siblings, and unrelated healthy controls) and between PRS-SCZ and the likelihood of receiving a prescription of clozapine relative to other antipsychotics.

Design, setting, and participants: This genetic association study was a multicenter, observational cohort study with 6 years of follow-up. Included were individuals diagnosed with SSD who were taking clozapine or other antipsychotics, their parents and siblings, and unrelated healthy controls. Data were collected from 2004 until 2021 and analyzed between October 2021 and September 2022.

Exposures: Polygenic risk scores for SCZ.

Main outcomes and measures: Multinomial logistic regression was used to examine possible differences between groups by computing risk ratios (RRs), ie, ratios of the probability of pertaining to a particular group divided by the probability of healthy control status. We also computed PRS-informed odd ratios (ORs) for clozapine use relative to other antipsychotics.

Results: Polygenic risk scores for SCZ were generated for 2344 participants (mean [SD] age, 36.95 years [14.38]; 994 female individuals [42.4%]) who remained after quality control screening (557 individuals with SSD taking clozapine, 350 individuals with SSD taking other antipsychotics during the 6-year follow-up, 542 parents and 574 siblings of individuals with SSD, and 321 unrelated healthy controls). All RRs were significantly different from 1; RRs were highest for individuals with SSD taking clozapine (RR, 3.24; 95% CI, 2.76-3.81; P = 2.47 × 10-46), followed by individuals with SSD taking other antipsychotics (RR, 2.30; 95% CI, 1.95-2.72; P = 3.77 × 10-22), parents (RR, 1.44; 95% CI, 1.25-1.68; P = 1.76 × 10-6), and siblings (RR, 1.40; 95% CI, 1.21-1.63; P = 8.22 × 10-6). Polygenic risk scores for SCZ were positively associated with clozapine vs other antipsychotic use (OR, 1.41; 95% CI, 1.22-1.63; P = 2.98 × 10-6), suggesting a higher likelihood of clozapine prescriptions among individuals with higher PRS-SCZ.

Conclusions and relevance: In this study, PRS-SCZ loading differed between groups of individuals with SSD, their relatives, and unrelated healthy controls, with patients taking clozapine at the far end of PRS-SCZ loading. Additionally, PRS-SCZ was associated with a higher likelihood of clozapine prescribing. Our findings may inform early intervention and prognostic studies of the value of using PRS-SCZ to personalize antipsychotic treatment.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: Dr Pinzón-Espinosa reported CME speaker fees and other nonfinancial honoraria from Lundbeck, Otsuka, Janssen, Angelini Pharma, Casen Recordati, Neuraxpharm, and Pfizer outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Scaled Distributions of Polygenic Risk Scores for Schizophrenia (PRS-SCZ)
Individuals with schizophrenia spectrum disorders who were taking clozapine had the highest PRS-SCZ, followed by individuals taking other antipsychotics, parents, siblings, and controls. All differences were statistically significant (t test P < .001), except for the parents-siblings comparison (eTable 7 in Supplement 1). PRS-SCZ was z scored in all samples and visualized per group. The mean PRS-SCZ is 0; hence, PRS values for controls are lower than 0. The bar in the middle of the box plot is the median PRS-SCZ for individuals in each group. The box plot rectangle is delimited by the 25th and 75th percentiles. The widths of the violins reflect the data distributions; the dots represent outliers outside the interval (Q1 − 1.5 × IQR; Q3 + 1.5 × IQR, where Q indicates quartile).
Figure 2.
Figure 2.. Odds Ratios by Polygenic Risk Profile
Odds ratios (ORs) increased with greater number of schizophrenia risk alleles in each group, with maximums reached in the fifth quintiles for individuals with schizophrenia spectrum disorders who were taking other antipsychotics relative to controls (panel A: OR, 26.41; 95% CI, 13.72-50.84), for clozapine users relative to controls (panel B: OR, 38.21; 95% CI, 18.96-78.11), and for clozapine users relative to users of other antipsychotics (panel C: OR, 2.50; 95% CI, 1.80-3.93). Odds ratios are shown in a log scale on the y-axis by genetic risk score profile; note the change in scale on each y-axis. Polygenic risk scores were divided into quintiles (1 = lowest, 5 = highest), and 4 dummy variables were created to contrast quintiles 2 through 5 to quintile 1 as reference. Odds ratios and 95% CIs were estimated using logistic regression.

References

    1. Trubetskoy V, Pardiñas AF, Qi T, et al. ; Indonesia Schizophrenia Consortium; PsychENCODE; Psychosis Endophenotypes International Consortium; SynGO Consortium; Schizophrenia Working Group of the Psychiatric Genomics Consortium . Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature. 2022;604(7906):502-508. doi:10.1038/s41586-022-04434-5 - DOI - PMC - PubMed
    1. Purcell SM, Wray NR, Stone JL, et al. ; International Schizophrenia Consortium . Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature. 2009;460(7256):748-752. doi:10.1038/nature08185 - DOI - PMC - PubMed
    1. Ni G, Zeng J, Revez JA, et al. ; Schizophrenia Working Group of the Psychiatric Genomics Consortium; Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium . A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts. Biol Psychiatry. 2021;90(9):611-620. doi:10.1016/j.biopsych.2021.04.018 - DOI - PMC - PubMed
    1. Amare AT, Schubert KO, Hou L, et al. ; Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium . Association of polygenic score for major depression with response to lithium in patients with bipolar disorder. Mol Psychiatry. 2021;26(6):2457-2470. doi:10.1038/s41380-020-0689-5 - DOI - PubMed
    1. Coleman JRI, Gaspar HA, Bryois J, Breen G; Bipolar Disorder Working Group of the Psychiatric Genomics Consortium; Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium . The genetics of the mood disorder spectrum: genome-wide association analyses of more than 185,000 cases and 439,000 controls. Biol Psychiatry. 2020;88(2):169-184. doi:10.1016/j.biopsych.2019.10.015 - DOI - PMC - PubMed

Publication types