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Genetic distance informs polygenic score predictive accuracy
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AI
DOI：10.1016/j.tig.2023.07.002.png)
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Abstract
En 中文
Polygenic scores (PGSs) aggregate the effects of variants across the genome to estimate genetic liability, but have lower performance in external study populations. A new study by Ding et al. has applied a novel framework to estimate the individual-level predictive accuracy of PGSs, and demonstrates that performance reduction occurs linearly with genetic distance.