ArticleAmerican journal of human genetics2022
Fast estimation of genetic correlation for biobank-scale data.
Article in American journal of human genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Genome-wide association studies in a large Korean cohort identify quantitative trait loci for 36 traits and illuminate their genetic architectures.Nature communications · 2025Pooled it
- Estimating genetic correlation jointly using individual-level and summary-level GWAS data.Nature communications · 2026Article
- Pleiotropic shared heritability quantifies the shared genetic variance of common diseases.Nature genetics · 2026Article
- Observational epidemiological studies can mitigate genetic confounding with a genetic relatedness matrix.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- General, orders-of-magnitude faster whole-genome analysis with genotype representation graphs.bioRxiv : the preprint server for biology · 2026Article
- Analytical and computational solution for the estimation of SNP-heritability in biobank-scale and distributed datasets.PLoS computational biology · 2025Article
- Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studies.American journal of human genetics · 2025Article
- Medical laboratory data-based models: opportunities, obstacles, and solutions.Journal of translational medicine · 2025Review
- Neurogenomic and behavioral principles shape freezing dynamics and synergistic performance in Drosophila melanogaster.Nature communications · 2025Article
- Exploring Similarities and Differences Between Methods That Exploit Patterns of Local Genetic Correlation to Identify Shared Causal Loci Through Application to Genome-Wide Association Studies of Multiple Long Term Conditions.Genetic epidemiology · 2025Article
- Beyond volume: Unraveling the genetics of human brain geometry.Science advances · 2025Article
- Improving multi-trait genomic prediction by incorporating local genetic correlations.Communications biology · 2025Article
- Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes.PLoS genetics · 2025Article
- GWASBrewer: An R Package for Simulating Realistic GWAS Summary Statistics.Genetic epidemiology · 2025Article
- Article
- FiMAP: A fast identity-by-descent mapping test for biobank-scale cohorts.PLoS genetics · 2023Article
- Summary statistics-based association test for identifying the pleiotropic effects with set of genetic variants.Bioinformatics (Oxford, England) · 2023Article
- Deciphering genetic causes for sex differences in human health through drug metabolism and transporter genes.Nature communications · 2023Article
- Epidemiologic and Genetic Associations of Endometriosis With Depression, Anxiety, and Eating Disorders.JAMA network open · 2023Article
- Cross-trait assortative mating is widespread and inflates genetic correlation estimates.Science (New York, N.Y.) · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Genetic correlation is an important parameter in efforts to understand the relationships among complex traits. Current methods that analyze individual genotype data for estimating genetic correlation are challenging to scale to large datasets. Methods that analyze summary data, while being computationally efficient, tend to yield estimates of genetic correlation with reduced precision. We propose SCORE (scalable genetic correlation estimator), a randomized method of moments estimator of genetic correlation that is both scalable and accurate. SCORE obtains more precise estimates of genetic correlations relative to summary-statistic methods that can be applied at scale; it achieves a 44% reduction in standard error relative to LD-score regression (LDSC) and a 20% reduction relative to high-definition likelihood (HDL) (averaged over all simulations). The efficiency of SCORE enables computation of genetic correlations on the UK Biobank dataset, consisting of ≈300 K individuals and ≈500 K SNPs, in a few h (orders of magnitude faster than methods that analyze individual data, such as GCTA). Across 780 pairs of traits in 291,273 unrelated white British individuals in the UK Biobank, SCORE identifies significant genetic correlation between 200 additional pairs of traits over LDSC (beyond the 245 pairs identified by both).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.