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IGSB and Megeno are working in the field of personalized disease prevention in the general population.
In this context, risk prediction models combining the effect of both rare high impact variants and polygenic components together with modifiable lifestyle factors and treatment (e.g., diet, drug usage, etc.) are developed to assess the individual risk to diseases. 
The goal is the generation of tools/services for the management of the individual risk by integrating the assessment of clinical risk factors that are easily accessible (e.g., cholesterol levels, blood pressure, BMI, etc.) with individual genetic profiles to the direction of precision medicine.


The Core Unit for Bioinformatics Data Analysis (CUBA) is our (and could be your) partner in any complex project involving big data sets. The CUBA is hosted at the IGSB and IMBIE and provides bioinformatics and data analysis as a service. It collaborates with research groups and core units to establish new methods and to make them available to all scientists at Uni Bonn.
CUBA is providing a growing number of tools and pipelines for data processing.


Next-generation sequencing has become a powerful tool in personalized medicine. Exomes or even whole genomes of patients suffering from rare diseases are screened for sequence variants. After filtering out common polymorphisms, the assessment and interpretation of detected personal variants in the clinical context is an often time-consuming effort. GeneTalk is a web-based platform that serves as an expert exchange network for the assessment of personal and potentially disease-relevant sequence variants. GeneTalk assists a clinical geneticist who is searching for information about specific sequence variants and connects this user to other users with expertise for the same sequence variant.


Used by 70% of the world’s geneticists across 2,000 clinical sites in over 130 countries, FDNA’s next-generation phenotyping (NGP) technologies capture, structure and analyze complex human physiological data to produce actionable genomic insights. FDNA’s database includes an unprecedented depth of phenotypic and genotypic information associated with more than 10,000 diseases, crowdsourced from real-world patient cases through our broad network of users. This de-identified data is collected and stored in a private and secure cloud-based clinical warehouse, and integrated to LIMS, EMR and variant interpretation systems through a set of open APIs.
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