Causal relationships between diseases mined from the literature improve the use of polygenic risk scores

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 la...

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Veröffentlicht in:	Bioinformatics (Oxford, England) England), 2024-11, Vol.40 (11)
Hauptverfasser:	Toonsi, Sumyyah, Gauran, Iris Ivy, Ombao, Hernando, Schofield, Paul N, Hoehndorf, Robert
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational Biology - methods Data Mining - methods Disease - genetics Genetic Predisposition to Disease Genetic Risk Score Humans Multifactorial Inheritance
Online-Zugang:	Volltext
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