Calculating optimal polygenic risk scores (PRS) across diverse ancestries, particularly in admixed populations, is necessary to enable equitable genetic research and clinical translation. However, the relatively low representation of admixed populations in both discovery and fine-tuning individual-level datasets limits PRS development for admixed populations. Under the assumption that the most informative PRS weight for a homogeneous sample, which can be approximated by a data point in the ancestry continuum space, varies linearly in that space, we introduce a Genetic Distance-assisted PRS Combination Pipeline for Diverse Genetic Ancestries (DiscoDivas) to interpolate a harmonized PRS for diverse, especially admixed, ancestries, leveraging multiple PRS weights fine-tuned within single-ancestry samples and the genetic ancestry continuum information. DiscoDivas treats ancestry as a continuous variable and does not require shifting between different models when calculating PRS for differe