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dc.contributor.authorCox, Murray
dc.contributor.authorWoerner, August
dc.contributor.authorWall, Jeffrey
dc.contributor.authorHammer, Michael
dc.date.accessioned2016-05-20T09:05:43Z
dc.date.available2016-05-20T09:05:43Z
dc.date.issued2008en
dc.identifier.citationBMC Genetics 2008, 9:76 doi:10.1186/1471-2156-9-76en
dc.identifier.doi10.1186/1471-2156-9-76en
dc.identifier.urihttp://hdl.handle.net/10150/610389
dc.description.abstractBACKGROUND:Despite intensive efforts devoted to collecting human polymorphism data, little is known about the role of gene flow in the ancestry of human populations. This is partly because most analyses have applied one of two simple models of population structure, the island model or the splitting model, which make unrealistic biological assumptions.RESULTS:Here, we analyze 98-kb of DNA sequence from 20 independently evolving intergenic regions on the X chromosome in a sample of 90 humans from six globally diverse populations. We employ an isolation-with-migration (IM) model, which assumes that populations split and subsequently exchange migrants, to independently estimate effective population sizes and migration rates. While the maximum effective size of modern humans is estimated at ~10,000, individual populations vary substantially in size, with African populations tending to be larger (2,300-9,000) than non-African populations (300-3,300). We estimate mean rates of bidirectional gene flow at 4.8 x 10-4/generation. Bidirectional migration rates are ~5-fold higher among non-African populations (1.5 x 10-3) than among African populations (2.7 x 10-4). Interestingly, because effective sizes and migration rates are inversely related in African and non-African populations, population migration rates are similar within Africa and Eurasia (e.g., global mean Nm = 2.4).CONCLUSION:We conclude that gene flow has played an important role in structuring global human populations and that migration rates should be incorporated as critical parameters in models of human demography.
dc.language.isoenen
dc.publisherBioMed Centralen
dc.relation.urlhttp://www.biomedcentral.com/1471-2156/9/76en
dc.rights© 2008 Cox et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0).en
dc.rights.urihttps://creativecommons.org/licenses/by/2.0/
dc.titleIntergenic DNA sequences from the human X chromosome reveal high rates of global gene flowen
dc.typeArticleen
dc.identifier.eissn1471-2156en
dc.contributor.departmentARL Division of Biotechnology, University of Arizona, AZ 85721, USAen
dc.contributor.departmentInstitute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USAen
dc.identifier.journalBMC Geneticsen
dc.description.collectioninformationThis item is part of the UA Faculty Publications collection. For more information this item or other items in the UA Campus Repository, contact the University of Arizona Libraries at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
refterms.dateFOA2018-06-14T14:04:28Z
html.description.abstractBACKGROUND:Despite intensive efforts devoted to collecting human polymorphism data, little is known about the role of gene flow in the ancestry of human populations. This is partly because most analyses have applied one of two simple models of population structure, the island model or the splitting model, which make unrealistic biological assumptions.RESULTS:Here, we analyze 98-kb of DNA sequence from 20 independently evolving intergenic regions on the X chromosome in a sample of 90 humans from six globally diverse populations. We employ an isolation-with-migration (IM) model, which assumes that populations split and subsequently exchange migrants, to independently estimate effective population sizes and migration rates. While the maximum effective size of modern humans is estimated at ~10,000, individual populations vary substantially in size, with African populations tending to be larger (2,300-9,000) than non-African populations (300-3,300). We estimate mean rates of bidirectional gene flow at 4.8 x 10-4/generation. Bidirectional migration rates are ~5-fold higher among non-African populations (1.5 x 10-3) than among African populations (2.7 x 10-4). Interestingly, because effective sizes and migration rates are inversely related in African and non-African populations, population migration rates are similar within Africa and Eurasia (e.g., global mean Nm = 2.4).CONCLUSION:We conclude that gene flow has played an important role in structuring global human populations and that migration rates should be incorporated as critical parameters in models of human demography.


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© 2008 Cox et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0).
Except where otherwise noted, this item's license is described as © 2008 Cox et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0).