Translating genotype data of 44,000 biobank participants into clinical pharmacogenetic recommendations: challenges and solutions

PURPOSE: Biomedical databases combining electronic medical records and phenotypic and genomic data constitute a powerful resource for the personalization of treatment. To leverage the wealth of information provided, algorithms are required that systematically translate the contained information into...

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Detalles Bibliográficos
Autores principales: Reisberg, Sulev, Krebs, Kristi, Lepamets, Maarja, Kals, Mart, Mägi, Reedik, Metsalu, Kristjan, Lauschke, Volker M., Vilo, Jaak, Milani, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752278/
https://www.ncbi.nlm.nih.gov/pubmed/30327539
http://dx.doi.org/10.1038/s41436-018-0337-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752278/
https://www.ncbi.nlm.nih.gov/pubmed/30327539
http://dx.doi.org/10.1038/s41436-018-0337-5

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