Molecular Genetic Risk for Psychosis Is Associated With Psychosis Risk Symptoms in a Population-Based UK Cohort: Findings From Generation Scotland

Author:

Docherty Anna R123,Shabalin Andrey A1,Adkins Daniel E14,Mann Frank5,Krueger Robert F5,Bacanu Silviu-Alin23,Campbell Archie6,Hayward Caroline6ORCID,Porteous David J6,McIntosh Andrew M7,Kendler Kenneth S23

Affiliation:

1. Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT

2. Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA

3. Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA

4. Department of Sociology, University of Utah, Salt Lake City, UT

5. Department of Psychology, University of Minnesota, Minneapolis, MN

6. MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK

7. Division of Psychiatry, University of Edinburgh, Edinburgh, UK

Abstract

Abstract Objective Subthreshold psychosis risk symptoms in the general population may be associated with molecular genetic risk for psychosis. This study sought to optimize the association of risk symptoms with genetic risk for psychosis in a large population-based cohort in the UK (N = 9104 individuals 18–65 years of age) by properly accounting for population stratification, factor structure, and sex. Methods The newly expanded Generation Scotland: Scottish Family Health Study includes 5391 females and 3713 males with age M [SD] = 45.2 [13] with both risk symptom data and genetic data. Subthreshold psychosis symptoms were measured using the Schizotypal Personality Questionnaire-Brief (SPQ-B) and calculation of polygenic risk for schizophrenia was based on 11 425 349 imputed common genetic variants passing quality control. Follow-up examination of other genetic risks included attention-deficit hyperactivity disorder (ADHD), autism, bipolar disorder, major depression, and neuroticism. Results Empirically derived symptom factor scores reflected interpersonal/negative symptoms and were positively associated with polygenic risk for schizophrenia. This signal was largely sex specific and limited to males. Across both sexes, scores were positively associated with neuroticism and major depressive disorder. Conclusions A data-driven phenotypic analysis enabled detection of association with genetic risk for schizophrenia in a population-based sample. Multiple polygenic risk signals and important sex differences suggest that genetic data may be useful in improving future phenotypic risk assessment.

Funder

National Institute of Mental Health

Brain & Behavior Research Foundation

Simons Foundation

American Foundation for Suicide Prevention

Scottish Funding Council

Wellcome Trust

Medical Research Council UK

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

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