ArticleNature genetics2019
Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture.
Article in Nature genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.
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Who cites it
57 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals.Nature genetics · 2023Pooled it
- Improved heritability partitioning and enrichment analyses using summary statistics with graphREML.Nature genetics · 2026Article
- Partitioning Fraction of Variance Explained into Strong Localized Effects and Weak Diffuse Effects.bioRxiv : the preprint server for biology · 2026Article
- Genetic prediction with ARG-powered linear algebra.Genetics · 2026Article
- Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes.Research square · 2026Article
- Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes.medRxiv : the preprint server for health sciences · 2026Article
- Computation and resource efficient genome-wide association analysis for large-scale imaging studies.Nature communications · 2026Article
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- Computation and resource efficient genome-wide association analysis for large-scale imaging studies.medRxiv : the preprint server for health sciences · 2025Article
- Symptoms of problematic alcohol use differ in their genetic associations with comorbid internalizing, externalizing, and neurodevelopmental psychiatric disorders.medRxiv : the preprint server for health sciences · 2025Article
- Comprehensive gene heritability estimation reveals the genetic architecture of rare coding variants underlying complex traits.bioRxiv : the preprint server for biology · 2025Article
- Article
- Scalable summary-statistics-based heritability estimation method with individual genotype level accuracy.Genome research · 2024Article
- A scalable and robust variance components method reveals insights into the architecture of gene-environment interactions underlying complex traits.American journal of human genetics · 2024Article
- Article
- MULTISCALE ESTIMATION OF MORPHOMETRICITY FOR REVEALING NEUROANATOMICAL BASIS OF COGNITIVE TRAITS.Proceedings. IEEE International Symposium on Biomedical Imaging · 2024Article
- A method to estimate the contribution of rare coding variants to complex trait heritability.Nature communications · 2024Article
- Estimating trans-ancestry genetic correlation with unbalanced data resources.Journal of the American Statistical Association · 2024Article
- Accurate and efficient estimation of local heritability using summary statistics and the linkage disequilibrium matrix.Nature communications · 2023Article
- Estimating heritability explained by local ancestry and evaluating stratification bias in admixture mapping from summary statistics.American journal of human genetics · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
SNP-heritability is a fundamental quantity in the study of complex traits. Recent studies have shown that existing methods to estimate genome-wide SNP-heritability can yield biases when their assumptions are violated. While various approaches have been proposed to account for frequency- and linkage disequilibrium (LD)-dependent genetic architectures, it remains unclear which estimates reported in the literature are reliable. Here we show that genome-wide SNP-heritability can be accurately estimated from biobank-scale data irrespective of genetic architecture, without specifying a heritability model or partitioning SNPs by allele frequency and/or LD. We show analytically and through extensive simulations starting from real genotypes (UK Biobank, N = 337 K) that, unlike existing methods, our closed-form estimator is robust across a wide range of architectures. We provide estimates of SNP-heritability for 22 complex traits in the UK Biobank and show that, consistent with our results in simulations, existing biobank-scale methods yield estimates up to 30% different from our theoretically-justified approach.
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