Our Causes

30 THOUSAND FEET FROM GENETICS

Advancement in Genetics has introduced an opportunity for binary analysis of predisposed growth and evolution from the time of conception
Currently our technology enables us to associate common genetic markers (SNPs) with populations affected by a specific pathology.
However the magnitude or quantitative value of findings is limited by the sample size from which that corollary finding is derived.
In addition, the downstream impacts of genetic pre-cursors are subject to a myriad of epigenetic factors that are not actively tracked and related back to those same patient populations.
This presents a challenge with specific scientific certainty as we must still rely on statistics and probability to make any predictions.

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We don’t know with any definitive certainty the extent to which retroviruses contributed to our evolution or present pathologies.
- But we do know there enough data points to warrant significant investigation.
SNPs don’t tell the whole story
- While convenient markers that do account for many functions enabled by our DNA the nature or origin of those SNPs cannot be entirely ascertained without much more data analysis
How can we begin to target therapies based on predicted susceptible patient populations?

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