Related Experiment Video
Updated: May 26, 2026
A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
Published on: June 15, 2011
Do Genetic Variants Directly Shape Population-Level Schizophrenia Burden? A Global Genomic Analysis
Junxian Tao1, Haiyan Chen1, Siyu Wei1
1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Background:
Schizophrenia imposes a substantial global health burden, with marked geographic variation in incidence, prevalence, and disability-adjusted life years (DALYs). Although genome-wide association studies (GWASs) have identified numerous individual-level risk variants, it remains unclear whether cross-population differences in allele frequencies are associated with variation in population-level disease burden.
Methods:
We integrated allele frequencies from the 1000 Genomes Project with age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), and age-standardized DALY rate (ASDR) across 20 countries (1990-2021) using the Global Burden of Disease 2021 data. Associations between allele frequencies and burden metrics were evaluated using linear mixed-effects models. Independent signals were defined through linkage disequilibrium-based clumping and annotated via multi-omic gene prioritization. Polygenic risk score (PRS) analyses were conducted in the UK Biobank for validation.
Results:
We identified 20, 20, and 14 independent single nucleotide polymorphisms (SNPs) significantly associated with ASIR, ASPR, and ASDR, respectively. Two loci overlapped with Psychiatric Genomics Consortium GWAS findings, including variants within ADGRV1 and upstream of STAG1. These loci collectively explained a meaningful proportion of cross-country variation (partial R 2 = 0.13-0.22). Implicated genes (e.g., LRRC4C, GPC5, PVALB) are involved in neurodevelopmental and synaptic processes. In UK Biobank analyses, schizophrenia cases exhibited higher PRSs derived from ASIR- and ASPR-associated SNPs (p = .0024 and .0095).
Conclusions:
These findings suggest that population-level allele frequency variation is associated with global differences in schizophrenia burden and accounts for a meaningful proportion of cross-population variation. This transferable population-genomic epidemiological framework may inform future research on complex diseases and mental health disparities.
More Related Videos
04:41Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
Published on: January 9, 2020
11:35Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)
Published on: August 21, 2016
Related Concept Videos
01:11Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
01:29Psychological and Sociocultural Causes of Schizophrenia
01:29Biological Causes of Schizophrenia
Genetic Factors in Schizophrenia
The genetic basis of schizophrenia is strongly supported by family and twin studies.
01:28Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
02:26Comparing Copy Number Variations and SNPs
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
01:27Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders
Researchers have identified genetic factors that increase susceptibility to schizophrenia, underscoring the intricate interplay between genetics and environment in disease development. At the core of schizophrenia's pathophysiology is excessive dopaminergic neurotransmission within the...