dc.contributor.author | Elhaik, Eran | |
dc.contributor.author | Tatarinova, Tatiana | |
dc.contributor.author | Chebotarev, Dmitri | |
dc.contributor.author | Piras, Ignazio S. | |
dc.contributor.author | Calo, Carla Maria | |
dc.contributor.author | De Montis, Antonella | |
dc.contributor.author | Atzori, Manuela | |
dc.contributor.author | Marini, Monica | |
dc.contributor.author | Tofanelli, Sergio | |
dc.contributor.author | Francalacci, Paolo | |
dc.contributor.author | Pagani, Luca | |
dc.contributor.author | Tyler-Smith, Chris | |
dc.contributor.author | Xue, Yali | |
dc.contributor.author | Schurr, Theodore G. | |
dc.contributor.author | Gaieski, Jill B. | |
dc.contributor.author | Melendez, Carlalynne | |
dc.contributor.author | Vilar, Miguel G. | |
dc.contributor.author | Owings, Amanda C. | |
dc.contributor.author | Gómez, Rocío | |
dc.contributor.author | Fujita, Ricardo | |
dc.contributor.author | Santos, Fabrício R. | |
dc.contributor.author | Comas, David | |
dc.contributor.author | Balanovsky, Oleg | |
dc.contributor.author | Balanovska, Elena | |
dc.contributor.author | Zalloua, Pierre | |
dc.contributor.author | Soodyall, Himla | |
dc.contributor.author | Pitchappan, Ramasamy | |
dc.contributor.author | Ganesh Prasad, ArunKumar | |
dc.contributor.author | Hammer, Michael | |
dc.contributor.author | Matisoo-Smith, Lisa | |
dc.contributor.author | Wells, R. Spencer | |
dc.creator | Ganesh Prasad, ArunKumar | |
dc.date.accessioned | 2016-03-10T15:34:15Z | |
dc.date.available | 2016-03-10T15:34:15Z | |
dc.date.issued | 2014-04-29 | |
dc.identifier.citation | Elhaik E., Tatarinova T., Chebotarev D., Piras IS., Calo CM., De Montis A., et al. Geographic population structure analysis of worldwide human populations infers their biogeographical origins. Nature Communications 2014; 5 (3513): 1-12. | es |
dc.identifier.issn | 2041-1723 (Digital) | |
dc.identifier.other | DOI: 10.1038/ncomms4513 |www.nature.com/naturecommunications | |
dc.identifier.uri | https://hdl.handle.net/20.500.12727/1529 | |
dc.description.abstract | The search for a method that utilizes biological information to predict humans’ place of origin has
occupied scientists for millennia. Over the past four decades, scientists have employed genetic
data in an effort to achieve this goal but with limited success. While biogeographical algorithms
using next-generation sequencing data have achieved an accuracy of 700 km in Europe, they
were inaccurate elsewhere. Here we describe the Geographic Population Structure (GPS)
algorithm and demonstrate its accuracy with three data sets using 40,000–130,000 SNPs. GPS
placed 83% of worldwide individuals in their country of origin. Applied to over 200 Sardinians
villagers, GPS placed a quarter of them in their villages and most of the rest within 50km of their
villages. GPS’s accuracy and power to infer the biogeography of worldwide individuals down to
their country or, in some cases, village, of origin, underscores the promise of admixture-based
methods for biogeography and has ramifications for genetic ancestry testing. | es |
dc.description.sponsorship | E.E is supported in part by Genographic grant GP 01-12. L.P, C.T.S and Y.X were
supported by The Wellcome Trust (098051). O.B. was supported in part by Presidium
RAS (MCB programme) and RFBR (13-04-01711). T.T. was supported by grants from
The National Institute for General Medical Studies (GM068968), and the Eunice
Kennedy Shriver National Institute of Child Health and Human Development (HD070996).
S.T. is supported by a PRIN2009 grant. The Genographic Project is supported by the
National Geographic Society IBM and the Waitt Foundation. We are grateful to all
Genographic participants who contributed their DNA samples for this study. | es |
dc.format.extent | 12 p. | es |
dc.language.iso | eng | es |
dc.publisher | Nature Communications | es |
dc.relation.ispartofseries | Nature Communications;vol. 5, n. 3513 | |
dc.relation.uri | http://www.nature.com/ncomms/2014/140429/ncomms4513/full/ncomms4513.html | es |
dc.rights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | es |
dc.source | REPOSITORIO ACADÉMICO USMP | es |
dc.source | Universidad de San Martín de Porres – USMP | es |
dc.subject | Genética de población | es |
dc.subject | Pruebas genéticas | es |
dc.subject | Variación genética | es |
dc.subject | Fitogeografía | es |
dc.subject | Características de la población | es |
dc.subject | Biogeografía | es |
dc.subject.ddc | 576 - Genética y evolución | es |
dc.title | Geographic Population Structure Analysis of Worldwide Human Populations Infers their Biogeographical Origins | es |
dc.type | info:eu-repo/semantics/article | es |
thesis.degree.name | Medicina Humana | |
thesis.degree.grantor | Universidad de San Martín de Porres. Facultad de Medicina Humana | |
thesis.degree.discipline | Medicina | |