Dataset Information

Polygenic risk prediction: why and when out-of-sample prediction R² can exceed SNP-based heritability.

ABSTRACT: In polygenic score (PGS) analysis, the coefficient of determination (R²) is a key statistic to evaluate efficacy. R² is the proportion of phenotypic variance explained by the PGS, calculated in a cohort that is independent of the genome-wide association study (GWAS) that provided estimates of allelic effect sizes. The SNP-based heritability (h_SNP², the proportion of total phenotypic variances attributable to all common SNPs) is the theoretical upper limit of the out-of-sample prediction R². However, in real data analyses R² has been reported to exceed h_SNP², which occurs in parallel with the observation that h_SNP² estimates tend to decline as the number of cohorts being meta-analyz

SUBMITTER: Wang X

PROVIDER: S-EPMC10357496 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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Dataset Information

Polygenic risk prediction: why and when out-of-sample prediction R² can exceed SNP-based heritability.

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Polygenic risk prediction: why and when out-of-sample prediction R2 can exceed SNP-based heritability.

OmicsDI is part of the ELIXIR infrastructure

Tweets

Polygenic risk prediction: why and when out-of-sample prediction R² can exceed SNP-based heritability.