When do machine learning models actually outperform standard polygenic scores? 🤔
In our new preprint, we benchmark how non-additive genetic effects (i.e, dominance deviations) shape polygenic prediction across simulated and UK Biobank traits.
👉 www.medrxiv.org/content/10.1...
🧵 1/6
medrxiv.org
Benchmarking non-additive genetic effects on polygenic prediction and machine learning-based approaches
Polygenic scores (PGSs) are widely used to translate genome-wide association study (GWAS) findings into tools for genetic risk prediction. Most current approaches assume additive effects, yet the cont...