A transparent and generalizable deep-learning framework for genomic ancestry prediction

Using Diet Network models and explainable AI methods, we develop a robust framework for genetic-ancestry inference from SNP data across large-scale biobanks. The models generalize across datasets with differing SNP coverage and capture latent population structure, and explainable AI methods identify ancestry-informative genetic variants driving predictions.