ArticleEcology and evolution2020
Assessment of spatial genetic structure to identify populations at risk for infection of an emerging epizootic disease.
Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Inferring Geographic Origin of White-Tailed Deer (Ecology and evolution · 2026Article
- Large-scale assessment of genetic structure to assess risk of populations of a large herbivore to disease.Ecology and evolution · 2024Article
- Evaluating the ability of a locally focused culling program in removing chronic wasting disease infected free-ranging white-tailed deer in Illinois, USA, 2003-2020.Transboundary and emerging diseases · 2022Article
- Spatial population genetics in heavily managed species: Separating patterns of historical translocation from contemporary gene flow in white-tailed deer.Evolutionary applications · 2021Article
- Assessment of spatial genetic structure to identify populations at risk for infection of an emerging epizootic disease.Ecology and evolution · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the geographic extent and connectivity of wildlife populations can provide important insights into the management of disease outbreaks but defining patterns of population structure is difficult for widely distributed species. Landscape genetic analyses are powerful methods for identifying cryptic structure and movement patterns that may be associated with spatial epizootic patterns in such cases.We characterized patterns of population substructure and connectivity using microsatellite genotypes from 2,222 white-tailed deer (
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