Many common disorders are characterized by a complex genetic component. The combined effects of many sequence variants contribute substantially to the risk of disease.
In a research setting, the inherited predisposition has already been analyzed in large case-control-studies for many phenotypes by means of polygenic risk modeling. Due to the low costs of genotyping, the resulting scores would be ideally suited for risk stratification on a population-wide scale. Indeed, most scientists do not ask themselves whether but when the predictive value of genome-wide polygenic risk scores (PRS) is robust enough to be used in personalized medicine. However, it is still unclear how a meaningful application of PRS in the clinic could look like.
We believe, that you - as a clinician scientist - will be able to develop the most innovative concepts, if you gain experience in PRS yourself. For that reason, we developed this platform where we compute a growing number of PRS that are available from the literature.
(*) Free computation available during introduction stage
Bioinformatics
Bioinformatics
Bioinformatics
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