Most companies you will see use single genetic variations that are available in publicly available studies to assess whether or not you may have a predisposition. There are many problems with this approach. For one you may have multiple genetic variations that are associated with a wellness trait and still have low predisposition likelihood for that trait. This can be because some genetic variations have a lower influence on the total likelihood for some ethnicity than another, and it can also be because there are inhibiting variations that balance the impact of the contributing variations.
Our technology looks at genetic patterns cumulatively impacting a cluster of genetic traits and is enhanced by a learning artificial intelligence algorithm that automatically adds new scientific knowledge as it becomes available and gets smarter as it absorbs new genotype-phenotype data.