Statistical uncertainty explains the poor agreement in polygenic scoring for type 2 diabetes

Abstract excerpt

Polygenic scores (PGS) have emerged as an important tool for genetic risk prediction in medicine to identify individuals at high-risk for disease. A major limitation in their implementation is the apparent disagreement among scores for the same individual decreasing their interpretability and utility in clinical settings. Here we show that the poor agreement across PGSes for type 2 diabetes (T2D) is fully explaine...

Topics

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• Genetic Association Studies
• Genetic Predisposition to Disease
• Genome-Wide Association Study
• Models, Genetic
• Models, Statistical
• Multifactorial Inheritance
• Risk Assessment
• Uncertainty

Identifiers and source

Literature Corpus work

e1f17461-3842-52b9-9306-5137d36a37b3

DOI

10.64898/2026.02.25.26347015