Article

Quantifying the susceptibility of polygenic scores to ancestry stratification

2025-12-04

Abstract excerpt

Polygenic scores aim to predict phenotypes from genetic data, yet they remain vulnerable to spurious correlations arising from environmental variation that covaries with population structure. While standard methods like Principal Component Analysis (PCA) and Linear Mixed Models (LMMs) mitigate this, quantifying the residual risk for specific applications remains challenging. Here, we develop a theoretical framewor...

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Literature Corpus work: 251a8372-27d0-5796-b1b3-472edddf54e0
DOI: 10.64898/2025.12.04.692430

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