This review discusses the genetic architectures of nine major psychiatric disorders: Alzheimer's disease (AD), attention-deficit hyperactivity disorder (ADHD), alcohol dependence, anorexia nervosa, autism spectrum disorder (ASD), bipolar disorder (BPD), major depressive disorder (MDD), nicotine dependence, and schizophrenia (SCZ). The authors highlight the significant progress made in understanding the genetics of these disorders over the past five years, particularly through genome-wide association studies (GWAS) and structural variation (SV) studies. They emphasize the importance of a balanced approach to studying multiple forms of genetic variation, including common, rare, and de novo variants, to gain a comprehensive understanding of the genetic architectures of these disorders. The review also discusses the implications of these findings for future research strategies and clinical applications, such as the potential use of risk profile scores and SV burden in predicting disease liability. The authors conclude that psychiatric disorders are polygenic, involving multiple genes and genetic variations, and that a deeper understanding of these genetic architectures is crucial for advancing the field of psychiatric genetics and potentially improving clinical outcomes.This review discusses the genetic architectures of nine major psychiatric disorders: Alzheimer's disease (AD), attention-deficit hyperactivity disorder (ADHD), alcohol dependence, anorexia nervosa, autism spectrum disorder (ASD), bipolar disorder (BPD), major depressive disorder (MDD), nicotine dependence, and schizophrenia (SCZ). The authors highlight the significant progress made in understanding the genetics of these disorders over the past five years, particularly through genome-wide association studies (GWAS) and structural variation (SV) studies. They emphasize the importance of a balanced approach to studying multiple forms of genetic variation, including common, rare, and de novo variants, to gain a comprehensive understanding of the genetic architectures of these disorders. The review also discusses the implications of these findings for future research strategies and clinical applications, such as the potential use of risk profile scores and SV burden in predicting disease liability. The authors conclude that psychiatric disorders are polygenic, involving multiple genes and genetic variations, and that a deeper understanding of these genetic architectures is crucial for advancing the field of psychiatric genetics and potentially improving clinical outcomes.