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September 10, 2025Genetics

A model-free method for genealogical inference without phasing and its application for topology weighting

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SMSimon H. MartinUniversity of Edinburgh

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Implication

This research presents a model-free approach for genealogical inference and topology weighting, suggesting improved accuracy in estimates from unphased data.

Key Points

Sticcs accurately infers ancestral recombination graphs from unphased genotype data, improving analysis of genetic relationships.
Topology weights estimated from unphased data using sticcs outperform those computed from fully phased data with popular tools.
The approach uses a heuristic algorithm that reconstructs local genealogies at genomic variant sites, benefiting from nearby site information.
Methods are available in Python packages, sticcs for ARG inference and twisst2 for topology weighting, enhancing analysis options.

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Simon H. Martin (2025) studied this question.

synapsesocial.com/papers/68c198cd9b7b07f3a061ae12 https://doi.org/10.1093/genetics/iyaf181

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Implication

This research presents a model-free approach for genealogical inference and topology weighting, suggesting improved accuracy in estimates from unphased data.

A model-free method for genealogical inference without phasing and its application for topology weighting

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Implication

Key Points

Cite This Study

A model-free method for genealogical inference without phasing and its application for topology weighting

Discussion

Member takes

Implication

Key Points

Cite This Study

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