ArticleNature communications2026
Integrating common and rare variants improves polygenic risk prediction across diverse populations.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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Who cites it
17 citing papers in PubMed.
- Evidence standards for multi-ancestry polygenic prediction.Genome biology · 2026Review
- Advancing risk gene discovery across the allele frequency spectrum.HGG advances · 2026Review
- An introduction to polygenic scores - methodological basics and recent advances.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026Article
- Integrating common and rare variants improves polygenic risk prediction across diverse populations.Nature communications · 2026Article
- Separating the genetics of disease, treatment, and treatment response using graphical modeling and large-scale electronic health records.medRxiv : the preprint server for health sciences · 2026Article
- Polygenic backgrounds influence phenotypic consequences of variants in cells, individuals, and populations.Cell genomics · 2026Review
- Genetic contribution to severe COVID-19 in adults under 60 years without major comorbidities in the German National Pandemic Cohort Network (NAPKON).Human genomics · 2026Article
- Harnessing artificial intelligence for genomic variant prediction: advances, challenges, and future directions.GigaScience · 2026Review
- Toward personalized medicine in AD/ADRD through genetic-exposome dementia risk assessments.NPJ dementia · 2026Review
- Streamlining large-scale genomic data management: Insights from the UK Biobank whole-genome sequencing data.Cell genomics · 2025Article
- Improving type 2 diabetes polygenic risk scores by incorporating rare, low-frequency, and population-specific variants.medRxiv : the preprint server for health sciences · 2025Article
- Polygenic risk scores in routine genetic diagnostics: what lies ahead?Journal of community genetics · 2025Article
- Impact of Genetic Risk Factors on Coronary Heart Disease Risk Across the Age Spectrum in Three Major Race/Ethnicity Groups in the United States.medRxiv : the preprint server for health sciences · 2025Article
- Article
- Health risks and genetic architecture of objectively measured multidimensional sleep health.Nature communications · 2025Article
- JointPRS: A data-adaptive framework for multi-population genetic risk prediction incorporating genetic correlation.Nature communications · 2025Article
- Empowering genome-wide association studies via a visualizable test based on the regional association score.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
PRSs predict complex traits by aggregating genetic effects across the genome, yet most models focus on common variants, overlooking rare variants that may contribute to hidden heritability. Here, we develop RICE, a PRS framework integrating both common and rare variants to improve genetic risk prediction across diverse ancestries. RICE constructs separate PRSs: for common variants, it integrates methods using ensemble learning; for rare variants, it uses gene-level testing with functional annotations and penalized regression. We evaluate RICE using simulated datasets and sequencing data from UK Biobank and All of Us, involving up to 740 million genetic variants from 361,939 individuals across diverse ancestries and 11 complex traits. In real data analysis, RICE improves predictive accuracy compared to leading common variant methods for traits with distinct rare variant architectures, particularly lipids and height. For lipid traits, incorporating rare variants increased R
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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.