ArticleAmerican journal of human genetics2023
SDPRX: A statistical method for cross-population prediction of complex traits.
Article in American journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Evidence standards for multi-ancestry polygenic prediction.Genome biology · 2026Review
- An efficient LASSO framework for admixture-aware polygenic scores.HGG advances · 2026Article
- MIXPRS enables multi-population and multi-method polygenic risk scores using summary statistics.Nature genetics · 2026Article
- Data Representation Bias and Conditional Distribution Shift Drive Predictive Performance Disparities in Multi-Population Machine Learning.bioRxiv : the preprint server for biology · 2026Article
- Leveraging cell-type specificity and similarity improves single-cell eQTL fine-mapping.Nature communications · 2026Article
- Improving polygenic score prediction for underrepresented groups through transfer learning.Nature communications · 2026Article
- Joint modeling of effect sizes for two correlated traits: Characterizing trait properties to enhance polygenic risk prediction.PLoS genetics · 2026Article
- The Progress of Gout Prediction Models Based on Multi-source Data.Current rheumatology reviews · 2026Review
- Improving polygenic risk prediction performance by integrating electronic health records through phenotype embedding.American journal of human genetics · 2025Article
- Real-time dynamic polygenic prediction for streaming data.Nature genetics · 2025Article
- Statistical construction of calibrated prediction intervals for polygenic score-based phenotype prediction.Nature genetics · 2025Article
- Incorporating additive genetic effects and linkage disequilibrium information to discover gene-environment interactions using BV-LDER-GE.Genome biology · 2025Article
- PTL-PRS: an R package for transfer learning of polygenic risk scores with pseudovalidation.Bioinformatics (Oxford, England) · 2025Article
- Stratifying lung adenocarcinoma risk with multi-ancestry polygenic risk scores in East Asian never-smokers.Journal of the National Cancer Institute · 2025Article
- Stratifying Lung Adenocarcinoma Risk with Multi-ancestry Polygenic Risk Scores in East Asian Never-Smokers.medRxiv : the preprint server for health sciences · 2025Article
- Leveraging local ancestry and cross-ancestry genetic architecture to improve genetic prediction of complex traits in admixed populations.American journal of human genetics · 2025Article
- PGSFusion streamlines polygenic score construction and epidemiological applications in biobank-scale cohorts.Genome medicine · 2025Article
- Incorporating local ancestry information to predict genetically associated DNA methylation in admixed populations.Briefings in bioinformatics · 2025Observational
- Almost Free Enhancement of Multi-Population PRS: From Data-Fission to Pseudo-GWAS Subsampling.bioRxiv : the preprint server for biology · 2025Article
- JointPRS: A data-adaptive framework for multi-population genetic risk prediction incorporating genetic correlation.Nature communications · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Polygenic risk score (PRS) has demonstrated its great utility in biomedical research through identifying high-risk individuals for different diseases from their genotypes. However, the broader application of PRS to the general population is hindered by the limited transferability of PRS developed in Europeans to non-European populations. To improve PRS prediction accuracy in non-European populations, we develop a statistical method called SDPRX that can effectively integrate genome wide association study summary statistics from different populations. SDPRX automatically adjusts for linkage disequilibrium differences between populations and characterizes the joint distribution of the effect sizes of a variant in two populations to be both null, population specific, or shared with correlation. Through simulations and applications to real traits, we show that SDPRX improves the prediction performance over existing methods in non-European populations.
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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.