Article
Causal relationships between diseases mined from the literature improve the use of polygenic risk scores.
Bioinformatics (Oxford, England) - 1 Nov 2024
Toonsi Sumyyah, Gauran Iris Ivy, Ombao Hernando, Schofield Paul N, Hoehndorf Robert
Abstract excerpt
MOTIVATION: Identifying causal relations between diseases allows for the study of shared pathways, biological mechanisms, and inter-disease risks. Such causal relations can facilitate the identification of potential disease precursors and candidates for drug re-purposing. However, computational methods often lack access to these causal relations. Few approaches have been developed to automatically extract causal...
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