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References

Kurki, Mitja I., et al. “FinnGen provides genetic insights from a well-phenotyped isolated population.” Nature 613.7944 (2023): 508-518. – Access here

Hillary, Robert F., et al. “Systematic discovery of gene–environment interactions underlying the human plasma proteome in UK Biobank.” medRxiv (2023): 2023-10. – Access here

Foley, Christopher N., et al. “isGWAS: ultra-high-throughput, scalable and equitable inference of genetic associations with disease.” bioRxiv (2023): 2023-07.Access here

Gadd, Danni A., et al. “Blood protein levels predict leading incident diseases and mortality in UK Biobank.” medRxiv (2023): 2023-05. – Access here

Sun, Benjamin B., et al. “Genetic associations of protein-coding variants in human disease.” Nature 603.7899 (2022): 95-102. – Access here

Breen, Philip G., et al. “Newton versus the machine: solving the chaotic three-body problem using deep neural networks.” Monthly Notices of the Royal Astronomical Society 494.2 (2020): 2465-2470. – Access here

Gadd, D.A., Hillary, R.F., Kuncheva, Z. et al. Blood protein assessment of leading incident diseases and mortality in the UK Biobank. Nat Aging 4, 939–948 (2024). – Access Here

Hillary, R.F., Gadd, D.A., Kuncheva, Z. et al. Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank. Nat Commun 15, 7346 – Access Here