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A genetic method for dating ancient genomes provides a direct estimate of human generation interval in the last 45,000 years
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Abstract
Significance: We report a method for dating ancient human samples that uses the recombination clock. To infer the age of ancient genomes, we take advantage of the shared history of Neanderthal gene flow into non-Africans that occurred around 50,000 y ago and measure the amount of “missing evolution” in terms of recombination breakpoints in the ancient genome compared with present-day samples. We show that this method provides age estimates that are highly correlated to radiocarbon dates, thus documenting the promise of this approach. By studying the linear relationship between the dates of Neanderthal admixture and the radiocarbon dates, we obtain, to our knowledge, the first direct estimate of the historical generation interval of 26–30 y.
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The founding date of Tahiti's bottleneck is 952 years from the sampling date, or 1069 AD.
“Using the standard 28 years per generation (an average across paternal and maternal age for each child born over a lifetime), yields a founding date of 952 years from the sampling date, or 1069 AD (20, 21, 22).”
From Message in a bottleneck: Nested founder effects from French Polynesia to Rapa Nui and Hawaiʻi (2026) · cites this paper as [20]
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Metadata
- Authors
- Moorjani, P., Sankararaman, S., Fu, Q., Przeworski, M., Patterson, N., & Reich, D.
- Affiliations
- Department of Biological Sciences, Columbia University, New York, NY 10027;
- Department of Genetics, Harvard Medical School, Boston, MA 02115;
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142;
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2016-05-02
- Volume
- 113
- Issue
- 20
- Pages
- 5652-5657
- ISSN
- 0027-8424
- 1091-6490
- Cited by
- 174
- References
- 20
- Language
- en
- Funders
- HHS | NIH | National Institute of General Medical Sciences (1F32GM115006-01)
- DH | National Institute for Health Research (GM100233)
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