What's UPDOG? A novel tool for trans-ancestral polygenic score prediction
David M. HowardiD, Oliver PainiD, Alexandra C. GillettiD, Evangelos VassosiD, Cathryn M. LewisiD
Abstract
Polygenic scores provide an indication of an individuals genetic propensity for a trait within a test population. These scores are calculated using results from genetic analysis conducted in discovery populations. However, when the test and discovery populations have different ancestries, predictions are less accurate. As many genetic analyses are conducted using European populations, this hinders the potential for making predictions in many of the underrepresented populations in research. To address this, UP and Downstream Genetic scoring (UPDOG) was developed to consider the genetic architecture of both the discovery and test cohorts before calculating polygenic scores. UPDOG was tested across four ancestries and six phenotypes and benchmarked against five existing tools for polygenic scoring. In approximately two-thirds of cases UPDOG improved trans-ancestral prediction, although the increases were small. Maximising the efficacy of polygenic scores and extending it to the global population is crucial for delivering personalised medicine and universal healthcare equality.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 8th percentile
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The GenoPred Pipeline: A Comprehensive and Scalable Pipeline for Polygenic Scoring.
Oliver Pain, Ammar Al‐Chalabi, Cathryn M. Lewis·BioinformaticsPeer-reviewed·Sep 17, 2024
- High-resolution portability of 245 polygenic scores when derived and applied in the same cohort
F. Prive, H. Aschard, … B. J. Vilhjalmsson·The American Journal of Human GeneticsPeer-reviewed·Jan 1, 2022
- Variable prediction accuracy of polygenic scores within an ancestry group
Hakhamanesh Mostafavi, Arbel Harpak, … Molly Przeworski·eLifePeer-reviewed·Jan 30, 2020
- The landscape of polygenic score prediction accuracy and transportability across the phenome in ancestrally diverse populations
Meng Hsuan Lin, Christopher H. Arehart, … Christopher R. Gignoux·medRxiv·Oct 11, 2026
- Leveraging Global Genetics Resources to Enhance Polygenic Prediction Across Ancestrally Diverse Populations
Oliver Pain·Human Genetics and Genomics AdvancesPeer-reviewed·Jul 18, 2025
- Improving Polygenic Prediction in Ancestrally Diverse Populations
Yunfeng Ruan, Kuang Lin, … Tian Ge·Nature GeneticsPeer-reviewed·May 1, 2022