Causal relationships between diseases mined from the literature improve the use of polygenic risk scores.
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| Title: | Causal relationships between diseases mined from the literature improve the use of polygenic risk scores. |
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| Authors: | Toonsi S; Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia., Gauran II; Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia., Ombao H; Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia., Schofield PN; Department of Physiology, Development & Neuroscience, University of Cambridge, Cambridge CB2 3EG, United Kingdom., Hoehndorf R; Computer, Electrical and Mathematical Sciences & Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia.; SDAIA-KAUST Center of Excellence in Data Science and Artificial Intelligence, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia.; KAUST Center of Excellence for Smart Health (KCSH), King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia.; KAUST Center of Excellence for Generative AI, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2024 Nov 01; Vol. 40 (11). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1367-4811 |
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| DOI: | 10.1093/bioinformatics/btae639 |
