Hellenthal, G;
Auton, A;
Falush, D;
(2008)
Inferring human colonization history using a copying model.
PLoS Genetics
, 4
(5)
, Article e1000078. 10.1371/journal.pgen.1000078.
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Abstract
Genome-wide scans of genetic variation can potentially provide detailed information on how modern humans colonized the world but require new methods of analysis. We introduce a statistical approach that uses Single Nucleotide Polymorphism (SNP) data to identify sharing of chromosomal segments between populations and uses the pattern of sharing to reconstruct a detailed colonization scenario. We apply our model to the SNP data for the 53 populations of the Human Genome Diversity Project described in Conrad et al. (Nature Genetics 38,1251-60, 2006). Our results are consistent with the consensus view of a single "Out-of-Africa" bottleneck and serial dilution of diversity during global colonization, including a prominent East Asian bottleneck. They also suggest novel details including: (1) the most northerly East Asian population in the sample (Yakut) has received a significant genetic contribution from the ancestors of the most northerly European one (Orcadian). (2) Native North [corrected] Americans have received ancestry from a source closely related to modern North-East Asians (Mongolians and Oroquen) that is distinct from the sources for native South [corrected] Americans, implying multiple waves of migration into the Americas. A detailed depiction of the peopling of the world is available in animated form.
| Type: | Article |
|---|---|
| Title: | Inferring human colonization history using a copying model. |
| Location: | US |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1371/journal.pgen.1000078 |
| Publisher version: | http://dx.doi.org/10.1371/journal.pgen.1000078 |
| Language: | English |
| Additional information: | © 2008 Hellenthal et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. PMCID: PMC2367454 |
| Keywords: | Chromosomes, Human, Computer Simulation, Emigration and Immigration, Genetic Drift, Genetic Variation, Genetics, Population, Genome, Human, Human Genome Project, Humans, Models, Genetic, Models, Statistical, Polymorphism, Single Nucleotide |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1368248 |
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