The DOI matches its Crossref record; 50 of the 51 references it cites were found in a registry or an index.
Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania
Open accessAbstract
Since anatomically modern humans dispersed Out of Africa, the evolutionary history of Eurasian populations has been marked by introgressions from presently extinct hominins. Some of these introgressions have been identified using sequenced ancient genomes (Neanderthal and Denisova). Other introgressions have been proposed for still unidentified groups using the genetic diversity present in current human populations. We built a demographic model based on deep learning in an Approximate Bayesian Computation framework to infer the evolutionary history of Eurasian populations including past introgression events in Out of Africa populations fitting the current genetic evidence. In addition to the reported Neanderthal and Denisovan introgressions, our results support a third introgression in all Asian and Oceanian populations from an archaic population. This population is either related to the Neanderthal-Denisova clade or diverged early from the Denisova lineage. We propose the use of deep learning methods for clarifying situations with high complexity in evolutionary genomics.
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Metadata
- Authors
- Mondal, M., Bertranpetit, J., & Lao, O.
- Affiliations
- University of Tartu (EE)
- Universitat Pompeu Fabra (ES)
- Corresponding author
- Bertranpetit, Jaume
- Venue
- Nature Communications
- Published
- 2019-01-16
- Volume
- 10
- Issue
- 1
- Pages
- 246-246
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC6335398
- OpenAlex
- W2909640254
- Cited by
- 124
- References
- 51
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 11 · 2023: 9 · 2022: 15 · 2021: 29 · 2020: 38 · 2019: 9
- FWCI
- 13.59
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (publishedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion, cc-by)
- Funders
- Centres de Recerca de Catalunya
- European Commission (2014‐2020, 2020 ‘, 2014-2020.4.01.16-0030)
- Generalitat de Catalunya (GRC 2017 SGR 937, 2017-SGR, MDM-2014-0370)
- Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España (RYC-2013-14797, MDM-2014-0370, BFU2015-68759-P)
- Instituto de Salud Carlos III (MDM-2014-0370, 2014/2020)
- European Regional Development Fund (BFU2016, 2014-2020’, 2014-2020.4.01.16-0030, MDM-2014-0370, 14797, BFU2016-77961-P)
- Agencia Estatal de Investigación (MDM-2014-0370, BFU2016-77961-P)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Social Sciences › Anthropology › Pleistocene-Era Hominins and Archaeology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- archaic introgression, Neanderthal introgression, Denisovan introgression, approximate Bayesian computation, dispersal out of Africa, human evolution
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