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Multi-Ancestry Polygenic Score

Definition
AI-generated

A multi-ancestry polygenic score is constructed or calibrated using GWAS and linkage disequilibrium information from more than one ancestry group—via meta-analytic weights, Bayesian shrinkage across populations, transfer learning, or explicit modeling of ancestry-specific effects—to improve prediction in globally diverse targets.

Topics
Post-GWAS
Related
Genetic Correlation GWAS Meta-Analysis Polygenic Risk Score (PRS)

Why it matters in GWAS

European-centric base GWAS often yield weak transfer; multi-ancestry methods and diverse training data are central to reducing performance gaps and health inequities in research and potential clinical use.

Example usage

"Multi-Ancestry Polygenic Score estimates were incorporated to improve portability and calibration across diverse cohorts."

Genetic Correlation GWAS Meta-Analysis Polygenic Risk Score (PRS) Polygenic Risk Score Portability Polygenic Score Catalog Trans-Ancestry GWAS
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Kachuri L, Chatterjee N, Hirbo J, et al. (2024). Principles and methods for transferring polygenic risk scores across global populations. Nat Rev Genet. https://doi.org/10.1038/s41576-023-00637-2
  • Ruan Y, et al. (2022). Improving polygenic prediction in ancestrally diverse populations. Nat Genet.
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