When you sequence your DNA or that of your loved ones, you're left wondering how your genetic code affects your health, intelligence, and other traits. Overall, our project addressed three fundamental problems: transparency and trust, explainability, and the requirements for personal expertise. We continue development in this direction. However, based on the user feedback from the previous gitcoin round, we identified two critical gaps, which we also plan to address in this round.

### Limited Pharmacogenetic Insights for Longevity Interventions

Current commercial genetic tests provide limited information on how an individual's genetic makeup may influence their response to potential lifespan-extending drugs like metformin and rapamycin. This leaves people uncertain about the efficacy and safety of these interventions for their specific genetic profile.

### Lack of Open-Source Tools for Assessing Genetic Influences on Intelligence

While recent research has made strides in understanding the genetic basis of intelligence, there are few transparent, open-source tools available for individuals to explore how their genes may impact cognitive abilities.

## Solution

To address these additional problems, we are expanding our open-source platform in two key ways:

### Expanding Pharmacogenetic Tests for Longevity Interventions

- Incorporating recent findings on genetic variations affecting metformin response, including insights from new genome-wide association studies.
- Developing tests for genes influencing rapamycin metabolism (CYP3A5, ABCB1) and efficacy (mTOR pathway genes, APOE).
- Providing personalized insights on the potential benefits and risks of these interventions based on an individual's genetic profile.

### Developing an Open-Source "Genetic IQ Test" Module

- Creating a transparent tool to help individuals understand how their genetic makeup may influence cognitive abilities.
- Leveraging recent research on polygenic scores that explain variability in intelligence.

These additions complement our existing solutions by further enhancing transparency, explainability, and personalization in genetic analysis. By open-sourcing these tools, we enable scrutiny of our methods and empower individuals with more comprehensive insights into their genetic potential for longevity and cognitive function.

## Roadmap

### Q3-Q4 2024

- Complete BioCypher knowledge graph integrations
- Finalize integration of OpenTargets and additional genetic databases
- Implement agent-based workflows for query optimization
- Develop and launch expanded pharmacogenetics modules

### Q1-Q2 2025

- Release initial version of the Genetics of Intelligence module
- Conduct PEFT (parameter efficient fine-tuning) if needed
- Implement enhanced LLM integration features

### Q3-Q4 2025

- Refine and expand aging clock integration
- Conduct user testing and gather feedback
- Iterate on all new features based on community input