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The HoneyComb Paradigm for Research on Collective Human Behavior
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On modeling the shared environment.

Henok Asefa1, Hilde Kjelgaard Brustad2,3, Øyvind Erik Næss4,5

  • 1Department of Epidemiology & Biostatistics, Jimma University, Jimma, Ethiopia.

American Journal of Epidemiology
|November 14, 2025
PubMed
Summary

This study introduces flexible models for the shared environment, improving heritability estimates for traits like body mass index. More realistic shared environment modeling enhances etiological understanding.

Keywords:
ACDE modelbiometrical mixed modelsfamilial datageneticsheritabilityshared environment

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Area of Science:

  • Behavioral Genetics
  • Quantitative Genetics
  • Biostatistics

Background:

  • The shared environment is crucial for heritability estimation in familial studies.
  • Current models often assume a simplistic 100% correlation for shared environmental influences, which may not reflect reality.
  • The complex and latent nature of shared environments necessitates more nuanced modeling approaches.

Purpose of the Study:

  • To explore dynamic correlation structures for the shared environment.
  • To introduce and evaluate novel models for shared environmental influence.
  • To improve the accuracy and precision of heritability estimates by accounting for realistic environmental dynamics.

Main Methods:

  • Development of generalized models for shared environmental correlation structures.
  • Simulation studies to assess model performance.
  • Application of proposed models to real-world data on body mass index (BMI) and systolic blood pressure (SBP).

Main Results:

  • The proposed models offer alternative interpretations of shared environmental influences.
  • More realistic correlation structures lead to improved heritability estimates.
  • Demonstrated application to BMI and SBP data from Norwegian health surveys.

Conclusions:

  • Flexible modeling of the shared environment is essential for accurate heritability estimation.
  • Improved etiological understanding of phenotypic traits can be achieved through advanced environmental modeling.
  • The study provides a framework for more precise genetic and environmental analyses in family studies.