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Published on: November 30, 2021
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Testing times: disentangling admixture histories in recent and complex demographies using ancient DNA
Matthew P Williams1, Pavel Flegontov2,3, Robert Maier3
1Department of Biology, Pennsylvania State University, University Park, PA 16802, USA.
Genetics
|July 16, 2024
Summary
Paleogenomics accurately reconstructs recent human history using admixture inference methods like qpAdm. Population differentiation is key to method performance, even with complex gene flow.
Area of Science:
- Paleogenomics
- Human Evolutionary History
- Population Genetics
Background:
- Paleogenomics has advanced understanding of human evolution, particularly in recent history.
- Assessing the accuracy of paleogenomic methods for historical and archaeological questions is crucial due to increasing demographic complexity and reduced genetic differentiation.
Purpose of the Study:
- To evaluate the performance of qpAdm and f3-statistic admixture inference methods.
- To assess their behavior under diverse demographic models and ancient DNA data conditions.
Main Methods:
- Two simulation approaches were used: exploring demographic parameter space with branch-length data and analyzing Eurasian history with whole-genome data under ancient DNA conditions (SNP ascertainment, missingness, pseudohaploidization).
- Evaluated qpAdm and f3-statistic performance on admixture inference.
Main Results:
- Population differentiation is the primary driver of qpAdm performance.
- Complex gene flow histories do not reduce overall performance but influence model plausibility.
- qpAdm accurately identifies true models among closely related populations under historical conditions.
- A heuristic combining qpAdm P-values and f3-statistics improves fine-scaled hypothesis resolution.
- Whole-genome branch-length f2-statistics significantly enhance qpAdm performance.
Conclusions:
- qpAdm is a reliable method for admixture inference, especially when population differentiation is high.
- The proposed heuristic aids in distinguishing between closely related demographic models.
- Advancements in f-statistic estimations, particularly with whole-genome data, promise improved demographic inference in paleogenomics.
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