ArticleAmerican journal of human genetics2022
Inferring population structure in biobank-scale genomic 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 28 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Phenome- and laboratory-wide meta-analyses of sickle cell trait reveal multi-system disease associations.American journal of human genetics · 2026Pooled it
- Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals.Nature genetics · 2023Pooled it
- All of Us diversity and scale yield context-dependent improvements in polygenic prediction.Nature genetics · 2026Article
- Large-scale admixture mapping in the All of Us Research Program improves the characterization of cross-population phenotypic differences.Nature communications · 2026Article
- Performance of Polygenic Risk Scores for Atherosclerotic Cardiovascular Disease in theCirculation. Genomic and precision medicine · 2026Article
- Genomic solutions to metadata challenges: a case study on the 1000 Bull Genomes Project.Genetics, selection, evolution : GSE · 2026Article
- ADAMIXTURE: adaptive first-order optimization for biobank-scale genetic clustering.Bioinformatics (Oxford, England) · 2026Article
- Admixture-informed polygenic risk reporting using the ePRS framework.Nature communications · 2026Article
- Topological stratification of continuous genetic variation in large biobanks.PLoS genetics · 2026Article
- GrafAnc: Reliable and reproducible inference of continental and regional population structure.HGG advances · 2026Article
- Inference of admixture in dogs from whole genome sequences.GigaByte (Hong Kong, China) · 2026Article
- The Health for Life in Singapore (HELIOS) Study: delivering precision medicine research for Asian populations.Nature communications · 2025Article
- Admixture Mapping of Lipid Traits in Hispanic Americans.Journal of the American Heart Association · 2025Article
- Genome sequencing of 35,024 predominantly African ancestry persons addresses gaps in genomics and healthcare.medRxiv : the preprint server for health sciences · 2025Article
- Admixed and single-continental genome segments of the same ancestry have distinct linkage disequilibrium patterns.Genome biology · 2025Article
- Genetic disease risks of under-represented founder populations in New York City.PLoS genetics · 2025Article
- Cross-Ancestry Associations of Spontaneous Coronary Artery Dissection Genetic Risk With Coronary Atherosclerosis and Migraine Headache.Journal of the American Heart Association · 2025Article
- Fine-mapping in admixed populations using CARMA-X, with applications to Latin American studies.American journal of human genetics · 2025Article
- Inferring ancestry with the hierarchical soft clustering approach tangleGen.Genome research · 2024Article
- Estimation of genetic admixture proportions via haplotypes.Computational and structural biotechnology journal · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Inferring the structure of human populations from genetic variation data is a key task in population and medical genomic studies. Although a number of methods for population structure inference have been proposed, current methods are impractical to run on biobank-scale genomic datasets containing millions of individuals and genetic variants. We introduce SCOPE, a method for population structure inference that is orders of magnitude faster than existing methods while achieving comparable accuracy. SCOPE infers population structure in about a day on a dataset containing one million individuals and variants as well as on the UK Biobank dataset containing 488,363 individuals and 569,346 variants. Furthermore, SCOPE can leverage allele frequencies from previous studies to improve the interpretability of population structure estimates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.