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Isolation by distance, trend surface analysis, and spatial autocorrelation

J P Bocquet-Appel1, J N Bacro

  • 1CNRS URA 49, Laboratoire d'Anthropologie, Musée de l'Homme, Paris, France.

Human Biology
|February 1, 1993
PubMed
Summary
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The isolation by distance model often fails to fit real genetic data due to complex surface trends. Alternative spatial analysis models can better capture genetic differentiation in such cases.

Area of Science:

  • Population Genetics
  • Spatial Analysis
  • Geostatistics

Background:

  • The isolation by distance model assumes a flat genetic surface, which rarely reflects reality.
  • Observed genetic surfaces often display complex trends from long-distance populational processes.
  • Standard models struggle to fit genetic data exhibiting significant spatial trends.

Purpose of the Study:

  • To evaluate the limitations of the isolation by distance model for complex genetic surfaces.
  • To explore alternative spatial models for analyzing genetic differentiation.
  • To address challenges in estimating genetic processes when spatial trends are present.

Main Methods:

  • Comparison of the isolation by distance model with observed genetic data.
  • Analysis of genetic surfaces exhibiting first-order trends (2D clines).

Related Experiment Videos

  • Application of trend surface analysis and spatial autocorrelation measures.

    • Main Results:

    • The isolation by distance model inadequately fits genetic surfaces with complex trends.
    • Genetic differentiation can increase dramatically with distance, exceeding predictions of the isolation by distance model.
    • Trend surface analysis offers a viable alternative for studying genetic differentiation when underlying processes are obscured.

    Conclusions:

    • The isolation by distance model is insufficient for many real-world genetic datasets.
    • Complex spatial trends significantly impact genetic differentiation patterns.
    • Trend surface analysis provides a robust method for analyzing genetic structure in the presence of spatial trends.