PHATE-Derived Ancestry Coordinates Capture Continuous Population Structure in Human Genomic Data

PHATE-based ancestry coordinates, with properly tuned diffusion scale and population balancing, recover continuous geographic organization and admixture gradients in human genomic datasets.

• Why it matters: Existing low-dimensional ancestry visualizations can misrepresent population structure: PCA may hide fine-scale patterns, while UMAP can fragment gradients into clusters.
• What they did: The authors built a PHATE framework for affinity-based trajectory embedding and evaluated it on synthetic benchmarks and large genomic datasets, varying neighborhood scale and sampling balance.
• The result: Correct tuning preserves relationships across scales and reflects continuous diversity, while incorrect neighborhood scale or population imbalance distorts the inferred structure.

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