Large-Scale Genotype-Based Trait Imputation With Multi-Ancestry GWAS Data.

ABSTRACT: Genome-wide association studies (GWAS) have been instrumental in identifying genetic variants associated with complex traits and diseases, including Alzheimer's disease (AD). However, traditional GWAS approaches often focus on European populations, which may lead to loss of power and limit the generalizability of findings across diverse ancestries. On the other hand, LS-Imputation, a nonparametric trait imputation method, leverages GWAS summary statistics and genotype data to impute missing traits, which can then be used for GWAS and other downstream analyses. Although LS-Imputation has been applied successfully to European populations, its performance in non-European populations would be hindered by smaller sample sizes, leading to reduced imputation accuracy. To address these limitations

SUBMITTER: Ren J 

PROVIDER: S-EPMC12805644 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature