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August 3, 2025Open Access

Modelling complex traits with ancestral recombination graphs

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Authors

HLHanbin LeeNPNathaniel S. PopeJKJerome Kelleher

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Overview

Generative model ARG-LMM reveals how complex traits arise from ARGs in large genomic datasets, suggesting new analytical approaches.

Key Points

  • ARGs are crucial for storing and analyzing large genomic datasets, facilitating advanced genetic research.
  • The ARG-LMM model extends existing quantitative genetics frameworks by incorporating evolutionary theory.
  • The tslmm algorithm fits ARG-LMM to simulated genealogies with efficient graph traversal, achieving 𝒪(N) time complexity.
  • This work offers innovative software tools for scalable analysis of complex traits, addressing data growth challenges in evolutionary genetics.

Cite This Study

Lee et al. (2025) studied this question.

synapsesocial.com/papers/689a0c7be6551bb0af8d0720https://doi.org/10.1101/2025.07.14.664631
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