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Chunk #24 — Methods — Evaluation of PRS

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Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations.
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We benchmarked the prediction accuracy of the trans-ancestry PRS constructed by PRS-CSx against PRS-CS EUR, PRS-CS Meta, and LDpred2 Meta in the European, African, and Hispanic/Latino samples of the eMERGE I-III genotyped dataset. We additionally assessed the PRS-CSx-derived trans-ancestry PRS in four UAB Black cohorts (i.e., REGARDS, GenHAT, HyperGEN, and WPC) and TWB. For each of these evaluation datasets, we calculated the PRS for each individual by multiplying the number of risk alleles by the algorithm-inferred weights for each variant and summing across the genome using the --score function in PLINK 1.9 [37].