ArticleNature communications2026
FRAME: Fine-Resolution Asymmetric Migration Estimation.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- FRAME: Fine-Resolution Asymmetric Migration Estimation.Nature communications · 2026Article
- When migration leaves a clean trace: Decoupling migration from coalescence in the structured serial coalescent.bioRxiv : the preprint server for biology · 2025Article
- Jointly representing long-range genetic similarity and spatially heterogeneous isolation-by-distance.PLoS genetics · 2025Article
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2 authors.
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Abstract
The genetic structure of populations is often shaped by processes and events that introduce asymmetries to gene flow between geographic locations. Here, we first develop an algorithm that allows efficient computation of pairwise coalescent times in time-homogeneous models of population structure at migration-drift equilibrium. We then use the algorithm as the foundation for a new method-Fine-Resolution Asymmetric Migration Estimation (FRAME)-to infer asymmetric migration rates in spatial models of population structure. The inferred equilibrium migration rates provide a novel representation of the geographic structure of genetic variation. We assess the method using a variety of simulated histories of gene flow, and apply the method to datasets from poplar trees, North American gray wolves, and human archaeogenetic samples, revealing complex asymmetric migration signals and providing a more refined view of the geographic structure of genetic variation.
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