Our Causes
30 Thousand Foot View of Genetics
Advancements in genetics have unlocked opportunities to analyze predispositions for growth and evolution from the moment of conception. Today’s technology allows us to correlate specific genetic markers, such as Single Nucleotide Polymorphisms (SNPs), with populations impacted by certain pathologies.
However, the significance of these findings is often limited by the size and diversity of the sample population from which the correlations are drawn. Furthermore, the downstream effects of genetic predispositions are influenced by a complex array of epigenetic factors—many of which are not systematically tracked or linked back to those patient populations.
This introduces a challenge to achieving scientific precision. Until we better account for these layers of complexity, we must continue to rely on statistical models and probabilities to inform predictions.
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Retroviruses, Evolution and Pathology
The extent to which retroviruses have influenced human evolution and contributed to present-day pathologies remains uncertain. However, the data points we have are compelling enough to warrant further in-depth investigation.
While Single Nucleotide Polymorphisms (SNPs) serve as useful markers for understanding genetic functions, they only tell part of the story. Unraveling the true nature and origins of these SNPs will require more comprehensive data analysis beyond current methodologies.
A key challenge lies in developing targeted therapies for patient populations that are predicted to be more susceptible to specific conditions. How can we harness these insights to tailor treatments that proactively address individual genetic susceptibilities?
Up-Coming Initiatives
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