Leveraging ancestral recombination graphs for scalable mixed-model analysis of complex traits.

doi:10.1016/j.xgen.2025.101072

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Article

Leveraging ancestral recombination graphs for scalable mixed-model analysis of complex traits.

Cell genomics - 11 Feb 2026

Zhu Jiazheng, Kalantzis Georgios, Pazokitoroudi Ali, Gunnarsson Árni Freyr, Loya Hrushikesh, Chen Han, Sankararaman Sriram, Palamara Pier Francesco

Abstract excerpt

Recent algorithmic advances have enabled the inference of genome-wide ancestral recombination graphs (ARGs) from large genomic cohorts, providing detailed models of genealogical relatedness along the genome. These inferred ARGs can complement genotype imputation by capturing the effects of unobserved variants, but their use in large-scale linear mixed-model analyses has been computationally prohibitive. Here, we...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Multifactorial Inheritance

Share to Polymorphism, Single Nucleotide

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PMID: 41380687
DOI: 10.1016/j.xgen.2025.101072
PMCID: PMC12903391

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