A developer has created an open-source repository for polygenic prediction and embryo selection, leveraging advanced AI models to improve accuracy. The tool integrates data from the PGS catalog and uses techniques like lassosum and LDpred2 to derive predictive weights for traits such as intelligence, height, and disease susceptibility. The repository also offers functionality for users to run their own genetic data through these predictors, with a particular focus on assisting prospective parents undergoing IVF to select embryos based on polygenic traits. AI
IMPACT This tool could streamline genetic analysis for prospective parents undergoing IVF, potentially influencing embryo selection decisions.
RANK_REASON The item describes an open-source repository for embryo selection and polygenic prediction, which is a tool rather than a core AI release or significant industry event.
- 23andMe
- Claude
- disease traits
- DSCR8
- Embryo Selection by Metabolomic Profiling of Embryo Culture Medium With Mass Spectroscopy as an Adjunct to Morphology
- genome-wide association study
- Height
- Intelligence
- in vitro fertilization
- lassosum
- LDpred2: better, faster, stronger
- Less Wrong
- OpenSNP
- PGS catalog
- Polygenic prediction of PTSD trajectories and inflammation in 9/11 responders
- SBayesRC
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