Scientific Process

This page briefly reviews Scientific Process of Genetic Assessment and Silverberry Reports methodology, how it works and what steps are taken to provide a new reports to Silverberry Users.

Step 1: Knowledge Gathering

A large number of studies published around the world have established a strong link between genetic variations and predispositions. The genetic variations include but not limited to single nucleotide polymorphism, copy number variations.  Following rigorous peer review and revisions these studies are published. The validity of these studies will only be shown by reproduction of the results by numerous independent laboratories.

Steps 2: Review & Curation

A team of scientists at Silverberry, gather and review the published research related to intended service or packages.  In this process, similar to the peer review of studies for publication, each published study is rigorously reviewed and weighed against other studies. In this process,  important parameters including size of population studied, type of population (if specific parameters such as age, sex, ethnicity, etc. may play a role), data models used, the effects size, and the rate of reproduction will be taken into consideration. If the published papers are consistent and collectively confirm the correlation between the genetic variations and predispositions, they become a candidate for the next trait report.

Step 3. Research & Contribution

For a number the traits with strong link to genetic predisposition, the Silverberry team is looking into additional findings that may or may not been reported by the scientific community before. In such cases, similar to a research group in an academic institution, we collect data from target users (if needed by taking the DNA test, conducting interviews, designing and running intervention programs, etc.) to collect the necessary data.

In addition, all new and significant findings that are published in the literature will be continuously added to Silverberry genotype-phenotype knowledge repertoire.

Step 4. Validation

In next step, our scientists with different expertise from the domain knowledge including neuroscience, genetics, machine learning, and AI use various algorithms to verify the data and run it in the models to ensure its accuracy and predictability of conclusions. In addition, data will be verified by using different methods such as using existing bio-bank(s) that can provide reference data as benchmark to verify the results.

Step 5. Packaging and Launch (Release)

Once the validity of genetic assessment is confirmed, a number of scientific papers will be written in lay language that can be easily read and understood by the general public. These  reports include a description of each trait and the assessment. At this step, recommendations and additional resources for each specific trait will be introduced to the users. Scholars and domain experts play an important role in this phase. For example, if a trait is about memory or cognitive function, a neuroscientist will review the recommendations. In case of response to a specific drug, a pharmacist will play the primary role in generating specific recommendation. The last step is selecting and creating the graphical icons, pricing and other details to make the reports available to the users.

Step 6. Post Launch Evaluation

Selected users who have adopted the packages and provide consent to participate in future studies, will be contacted periodically to provide feedback and additional information to decide on future of the reports, further fine tuning them or any other improvements if possible.