1.
Eric Vallabh Minikel, Jeffery L. Painter, Coco Chengliang Dong, Matthew R. Nelson. Refining the impact of genetic evidence on clinical success. Nature. 2024:1-6. doi:10.1038/s41586-024-07316-0
Genetics
1.
Lawrence Middleton, Ioannis Melas, Chirag Vasavda, et al. Phenome-wide identification of therapeutic genetic targets, leveraging knowledge graphs, graph neural networks, and UK Biobank data. Science Advances. 2024;10(19):eadj1424. doi:10.1126/sciadv.adj1424
1.
Quan Xu, Lennard Halle, Soroor Hediyeh-zadeh, et al. An Integrated Transcriptomic Cell Atlas of Human Endoderm-Derived Organoids.; 2023. doi:10.1101/2023.11.20.567825
1.
Katerina Trajanoska, Claude Bhérer, Daniel Taliun, Sirui Zhou, J. Brent Richards, Vincent Mooser. From target discovery to clinical drug development with human genetics. Nature. 2023;620(7975):737-745. doi:10.1038/s41586-023-06388-8
1.
Stephen Burgess, Amy M. Mason, Andrew J. Grant, et al. Using genetic association data to guide drug discovery and development: Review of methods and applications. American Journal of Human Genetics. 2023;110(2):195-214. doi:10.1016/j.ajhg.2022.12.017
1.
Keren J. Carss, Aimee M. Deaton, Alberto Del Rio-Espinola, et al. Using human genetics to improve safety assessment of therapeutics. Nature Reviews. Drug Discovery. 2023;22(2):145-162. doi:10.1038/s41573-022-00561-w
1.
Jack W. Scannell, James Bosley, John A. Hickman, et al. Predictive validity in drug discovery: what it is, why it matters and how to improve it. Nature Reviews Drug Discovery. 2022;21(12):915-931. doi:10.1038/s41573-022-00552-x
1.
William R. Reay, Murray J. Cairns. Advancing the use of genome-wide association studies for drug repurposing. Nature Reviews Genetics. 2021;22(10):658-671. doi:10.1038/s41576-021-00387-z
1.
Eric Vallabh Minikel, Konrad J. Karczewski, Hilary C. Martin, et al. Evaluating drug targets through human loss-of-function genetic variation. Nature. 2020;581(7809):459-464. doi:10.1038/s41586-020-2267-z
1.
Aroon D. Hingorani, Valerie Kuan, Chris Finan, et al. Improving the odds of drug development success through human genomics: modelling study. Scientific Reports. 2019;9(1):18911. doi:10.1038/s41598-019-54849-w