Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Heritability and polygenic predictionIn the EUR sample, the SNP-based heritability (h 2 SNP ) (that is, the proportion of variance in liability attributable to all measured SNPs)

IMPORTANCE Psychotic experiences, such as hallucinations and delusions, are reported by approximately 5% to 10% of the general population, although only a small proportion develop psychotic disorders such as schizophrenia. Studying the genetic causes of psychotic experiences in the general population, and its association with the genetic causes of other disorders, may increase the understanding of their pathologic significance. OBJECTIVES To determine whether genetic liability to psychotic experiences is shared with schizophrenia and/or other neuropsychiatric disorders and traits and to identify genetic loci associated with psychotic experiences. DESIGN, SETTING AND PARTICIPANTS Analyses of genetic correlation, polygenic risk scores, and copy number variation were performed using data from participants in the UK Biobank from April 1, 2018, to March 20, 2019, to assess whether genetic liability to psychotic experiences is shared with schizophrenia and/or other neuropsychiatric disorders and traits. Genome-wide association studies of psychotic experience phenotypes were conducted to identify novel genetic loci. Participants in the final analyses after exclusions included 6123 individuals reporting any psychotic experience, 2143 individuals reporting distressing psychotic experiences, and 3337 individuals reporting multiple occurrences of psychotic experiences. A total of 121 843 individuals who did not report a psychotic experience formed the comparator group. Individuals with a psychotic disorder were excluded from all analyses. MAIN OUTCOMES AND MEASURES Genetic associations with psychotic experience phenotypes. RESULTS The study included a total of 127 966 participants (56.0% women and 44.0% men; mean [SD] age, 64.0 [7.6] years). Psychotic experiences were genetically correlated with major depressive disorder, schizophrenia, autism spectrum disorder, and attention-deficit/ hyperactivity disorder. Analyses of polygenic risk scores identified associations between psychotic experiences and genetic liability for major depressive disorder, schizophrenia, bipolar disorder, autism spectrum disorder, and attention-deficit/hyperactivity disorder. Individuals reporting psychotic experiences had an increased burden of copy number variations previously associated with schizophrenia (odds ratio [OR], 2.04; 95% CI, 1.39-2.98; P = 2.49 × 10 −4) and neurodevelopmental disorders more widely (OR, 1.75; 95% CI, 1.24-2.48; P = 1.41 × 10 −3). Genome-wide association studies identified 4 significantly associated loci, including a locus in Ankyrin-3 (ANK3 [GenBank NM_020987]) (OR, 1.16; 95% CI, 1.10-1.23; P = 3.06 × 10 −8) with any psychotic experience, and a locus in cannabinoid receptor 2 gene (CNR2 [GenBank NM_001841]) (OR, 0.66; 95% CI, 0.56-0.78; P = 3.78 × 10 −8) with distressing psychotic experiences. The genome-wide association study of any psychotic experience had a low single-nucleotide polymorphism-based heritability estimate (h 2 = 1.71%; 95% CI, 1.02%-2.40%). CONCLUSIONS AND RELEVANCE A large genetic association study of ...

Data availability De novo variants discovered from the new trios are published in Supplementary Table S12. The data that support the findings of this study are available from the corresponding author upon request. Code availability A description of the R functions used for statistical analysis can be found in the Life Sciences Reporting Summary. Author contributions MCOD, MJO, JTRW, PH and ER conceived and designed the research. ER analysed the data. JH, JM and NC performed and managed the sequencing experiments. JH and MD performed the Sanger sequencing validation experiment. VEP, AJP, LH, SEL, AFP and ALR contributed to the interpretation of the results.

We acknowledge Leyden Delta and Magna Laboratories for supporting the CLOZUK2 sample collection, anonymisation and data preparation (Andy Walker and Anouschka Colson). We acknowledge deCODE genetics (Hreinn Stefansson) for genotyping of the CLOZUK2 sample. We acknowledge Cardiff University MRC Centre Core Team (Lucinda Hopkins, Lesley Bates, and Catherine Bresner) for laboratory sample management. We acknowledge Cardiff University MRC Centre HPC team (Mark Einon), and Cardiff University Advanced Research Computing division (Wayne Lawrence), for support with the use and setup of computational infrastructures. Competing Financial Interests M. H. and J. J. are full-time employees of Leyden Delta B.V.; A.K. is a full-time employee of Magna Laboratories Ltd. The remaining authors declare no conflicts of interest.