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)

Schizophrenia is a debilitating psychiatric disorder with approximately 1% lifetime risk globally. Large-scale schizophrenia genetic studies have reported primarily on European ancestry samples, Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:

Polygenic risk scores (PRS) have attenuated cross-population predictive performance. As existing genomewide association studies (GWAS) were predominantly conducted in individuals of European descent, the limited transferability of PRS reduces its clinical value in non-European populations and may exacerbate healthcare disparities. Recent efforts to level ancestry imbalance in genomic research have expanded the scale of non-European GWAS, although they remain under-powered. Here we present a novel PRS construction method, PRS-CSx, which improves cross-population polygenic prediction by integrating GWAS summary statistics from multiple populations. PRS-CSx couples genetic effects across populations via a shared continuous shrinkage prior, enabling more accurate effect size estimation by sharing information between summary statistics and leveraging linkage disequilibrium (LD) diversity across discovery samples, while inheriting computational efficiency and robustness from PRS-CS. We show that PRS-CSx outperforms alternative methods across traits with a wide range of genetic architectures and cross-population genetic correlations in simulations, and substantially improves the prediction of quantitative traits and schizophrenia risk in non-European populations.

79 80 * These authors contributed equally to the work 81 §These authors jointly supervised the work 82 †Lists of participants and their affiliations appear in the Supplementary Information 83 84 85 86Finally, polygenic risk score (PRS) prediction is emerging as a useful tool for studying 129 the effects of genetic liability, identifying more homogeneous phenotypes, and stratifying 130 patients, but the applicability of training data from EUR studies to those of non-European 131 ancestry has not been fully assessed, leaving us with an uncertainty as to the biological 132 implications and utility in non-Europeans 20 . 133 134 Schizophrenia genetic associations in the East Asian populations 135To systematically examine the genetic architecture of schizophrenia in individuals of East Asian 136 ancestry (EAS), we compiled 22,778 schizophrenia cases and 35,362 controls from 20 samples 137

Schizophrenia is a severe mental disorder affecting ~1% of the world population, with heritability of up to 80%. To identify new common genetic risk factors, we performed a genome-wide association study (GWAS) in the Han Chinese population. The discovery sample set consisted of 3,750 patients and 6,468 healthy controls (1,578 cases and 1,592 controls from the Northern Han; 1,238 cases and 2,856 controls from the Central Han; 934 cases and 2,020 controls from the Southern Han); and we followed up the top association signals in an additional independent cohort of 4,383 cases and 4,539 controls from the Han Chinese. Meta-analysis identified genome-wide significant association of common SNPs with schizophrenia on chromosome 8p12 (rs16887244, P=1.27×10−10) and 1q24.2 (rs10489202, P=9.50×10−9). Our findings provide new insights into the pathogenesis of schizophrenia.