ArticleAmerican journal of human genetics2024
shaPRS: Leveraging shared genetic effects across traits or ancestries improves accuracy of polygenic scores.
Article in American journal of human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Osteoporosis genetic risk prediction using bone mineral density polygenic scores in Japanese: TMM CommCohort study.Journal of human genetics · 2026Article
- Polygenic risk scores, adiposity, and disease transition in type 2 diabetes and colorectal cancer comorbidity: a population-based Chinese cohort study.BMC cancer · 2026Observational
- Joint modeling of effect sizes for two correlated traits: Characterizing trait properties to enhance polygenic risk prediction.PLoS genetics · 2026Article
- Article
- Diagnostic testing in the genetically complex age-related macular degeneration.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2025Article
- Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project.Ecology and evolution · 2025Article
- Genetic Markers of Postmortem Brain Iron.Journal of neurochemistry · 2025Article
- Integrated clinical risk prediction of type 2 diabetes with a multifactorial polygenic risk score.medRxiv : the preprint server for health sciences · 2024Article
- Principles and methods for transferring polygenic risk scores across global populations.Nature reviews. Genetics · 2024Review
- Clinical applications of polygenic risk score for coronary artery disease through the life course.Atherosclerosis · 2023Review
- Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores.Annual review of biomedical data science · 2022Review
Corrections and comments
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Authors and funding
5 authors.
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Abstract
We present shaPRS, a method that leverages widespread pleiotropy between traits or shared genetic effects across ancestries, to improve the accuracy of polygenic scores. The method uses genome-wide summary statistics from two diseases or ancestries to improve the genetic effect estimate and standard error at SNPs where there is homogeneity of effect between the two datasets. When there is significant evidence of heterogeneity, the genetic effect from the disease or population closest to the target population is maintained. We show via simulation and a series of real-world examples that shaPRS substantially enhances the accuracy of polygenic risk scores (PRSs) for complex diseases and greatly improves PRS performance across ancestries. shaPRS is a PRS pre-processing method that is agnostic to the actual PRS generation method, and as a result, it can be integrated into existing PRS generation pipelines and continue to be applied as more performant PRS methods are developed over time.
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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.