ArticleThe annals of applied statistics2019
A SIMPLE, CONSISTENT ESTIMATOR OF SNP HERITABILITY FROM GENOME-WIDE ASSOCIATION STUDIES.
Article in The annals of applied statistics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Partitioning Fraction of Variance Explained into Strong Localized Effects and Weak Diffuse Effects.bioRxiv : the preprint server for biology · 2026Article
- Conditional and marginal SNP-heritability to leverage ancestral and environmental diversity.bioRxiv : the preprint server for biology · 2026Article
- When can whole-genome SNP heritability be reliably estimated from summary statistics?bioRxiv : the preprint server for biology · 2026Article
- HIGH-DIMENSIONAL STATISTICAL INFERENCE FOR LINKAGE DISEQUILIBRIUM SCORE REGRESSION AND ITS CROSS-ANCESTRY EXTENSIONS.Annals of statistics · 2025Article
- Interpreting SNP heritability in admixed populations.Genetics · 2025Article
- Interpreting SNP heritability in admixed populations.bioRxiv : the preprint server for biology · 2025Article
- Comparing heritability estimators under alternative structures of linkage disequilibrium.G3 (Bethesda, Md.) · 2022Article
- Estimating SNP heritability in presence of population substructure in biobank-scale datasets.Genetics · 2022Article
- Trade-offs of Linear Mixed Models in Genome-Wide Association Studies.Journal of computational biology : a journal of computational molecular cell biology · 2022Article
- Individual Differences in Cognitive Performance Are Better Predicted by Global Rather Than Localized BOLD Activity Patterns Across the Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
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Authors and funding
4 authors.
Funding
Abstract
Analysis of genome-wide association studies (GWAS) is characterized by a large number of univariate regressions where a quantitative trait is regressed on hundreds of thousands to millions of single-nucleotide polymorphism (SNP) allele counts, one at a time. This article proposes an estimator of the SNP heritability of the trait, defined here as the fraction of the variance of the trait explained by the SNPs in the study. The proposed GWAS heritability (GWASH) estimator is easy to compute, highly interpretable, and is consistent as the number of SNPs and the sample size increase. More importantly, it can be computed from summary statistics typically reported in GWAS, not requiring access to the original data. The estimator takes full account of the linkage disequilibrium (LD) or correlation between the SNPs in the study through moments of the LD matrix, estimable from auxiliary datasets. Unlike other proposed estimators in the literature, we establish the theoretical properties of the GWASH estimator and obtain analytical estimates of the precision, allowing for power and sample size calculations for SNP heritability estimates, and forming a firm foundation for future methodological development.
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