September 23, 2025G3 Genes Genomes GeneticsOpen Access

The promise and challenge of spatial inference with the full ancestral recombination graph under Brownian motion

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Model extension improves genetic relatedness mapping, revealing challenges in dispersal rate estimation.

The model showed significant biases in estimating dispersal rates and ancestor locations, affecting accuracy.
Likelihood-based estimates are derived from the full ancestral recombination graph, providing insights into genetic history.
Model evaluation through individual-based simulations revealed discrepancies between estimated and true processes.
Translating Brownian motion from trees to ARGs introduces complexities that can lead to biases in results.

Deraje et al. (2025) studied this question.

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