Polygenic risk scores (PRSs) are increasingly able to predict complex traits; however, they perform suboptimally in populations not of European ancestry. We present CT-SLEB, a powerful method that enables the calculation of PRSs from multi-ancestry samples and provides insights into the opportunities and challenges of enhancing polygenic risk prediction across populations of diverse ancestry.
