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Multiple Sources of Uncertainty Confound Inference of Historical Human Generation Times.

Aaron P Ragsdale¹, Kevin R Thornton²

¹Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI, USA.

Molecular Biology and Evolution

|July 14, 2023

Summary

This study challenges recent findings on human generation intervals, suggesting that inferred ancestral differences between West African and Eurasian populations are likely due to data noise and biases, not true biological divergence.

Keywords:

genealogical reconstruction generation time mutation spectrum

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Area of Science:

Human evolutionary genetics
Population genetics
Molecular evolution

Background:

Recent research proposed inferring human generation interval history from mutation profiles.
This method links mutation type proportions to parental age and estimates generation times.

Purpose of the Study:

To critically evaluate the methodology and findings of Wang et al. (2023) regarding human generation intervals.
To address potential noise and biases in the input data and allele age estimations.

Main Methods:

Re-analysis of mutation profile data and allele age estimates.
Critique of the approach's sensitivity to data noise and biases.
Comparison with independent methods for allele age estimation.

Main Results:

The inferred long-lasting sex differences and population-specific generation times by Wang et al. (2023) are questioned.
Results are attributed primarily to noise and biases in the input allele age data.
Lack of validation with independent allele age estimation methods is highlighted.

Conclusions:

The conclusions drawn by Wang et al. (2023) regarding ancestral generation intervals are likely artifacts of data limitations.
Caution is advised for downstream analyses relying on current allele age estimation methods due to potential uncharacterized biases.
Further validation and methodological refinement are needed for accurate inference of human evolutionary history.