Accurate and efficient estimation of local heritability using summary statistics and the linkage disequilibrium matrix.

ABSTRACT: Existing SNP-heritability estimators that leverage summary statistics from genome-wide association studies (GWAS) are much less efficient (i.e., have larger standard errors) than the restricted maximum likelihood (REML) estimators which require access to individual-level data. We introduce a new method for local heritability estimation-Heritability Estimation with high Efficiency using LD and association Summary Statistics (HEELS)-that significantly improves the statistical efficiency of summary-statistics-based heritability estimator and attains comparable statistical efficiency as REML (with a relative statistical efficiency >92%). Moreover, we propose representing the empirical LD matrix as the sum of a low-rank matrix and a banded matrix. We show that this way of modeling the LD can no

SUBMITTER: Li H 

PROVIDER: S-EPMC10692177 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature