Back

From Biobanking to Personalized Medicine: the journey of the Estonian Biobank

Milani, L.; Alver, M.; Laur, S.; Reisberg, S.; Haller, T.; Aasmets, O.; Abner, E.; Alavere, H.; Allik, A.; Annilo, T.; Fischer, K.; Hudjashov, G.; Joeloo, M.; Kals, M.; Karo-Astover, L.; Kasela, S.; Kolde, A.; Krebs, K.; Krigul, K. L.; Kronberg, J.; Kruusmaa, K.; Kuku_kina, V.; Koiv, K.; Lehto, K.; Leitsalu, L.; Lind, S.; Luitva, L. B.; Lall, K.; Lull, K.; Metsalu, K.; Metspalu, M.; Mottus, R.; Nelis, M.; Nikopensius, T.; Nurm, M.; Noukas, M.; Oja, M.; Org, E.; Palover, M.; Palta, P.; Pankratov, V.; Pantiukh, K.; Pervjakova, N.; Pujol-Gualdo, N.; Reigo, A.; Reimann, E.; Smit, S.; Sokurova, D.;

2024-09-24 genetic and genomic medicine
10.1101/2024.09.22.24313964 medRxiv
Show abstract

Large biobanks have set a new standard for research and innovation in human genomics and implementation of personalised medicine. The Estonian Biobank was founded a quarter of a century ago, and its biological specimens, clinical, health, omics, and lifestyle data have been included in over 800 publications to date. What makes the biobank unique internationally is its translational focus, with active efforts to conduct clinical studies based on genetic findings, and to explore the effects of return of results on participants. In this review we provide an overview of the Estonian Biobank, highlight its strengths for studying the effects of genetic variation and quantitative phenotypes on health-related traits, development of methods and frameworks for bringing genomics into the clinic, and its role as a driving force for implementing personalized medicine on a national level and beyond.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.