Unravelling the hidden ancestry of American admixed populations

Francesco Montinaro, George B.J. Busby, Vincenzo L. Pascali, Simon Myers, Garrett Hellenthal and Cristian Capelli ()
Additional contact information
Francesco Montinaro: Institute of Legal Medicine, Catholic University
George B.J. Busby: University of Oxford
Vincenzo L. Pascali: Institute of Legal Medicine, Catholic University
Simon Myers: Wellcome Trust Center for Human Genetics
Garrett Hellenthal: UCL Genetics Institute, University College London
Cristian Capelli: University of Oxford

Nature Communications, 2015, vol. 6, issue 1, 1-7

Abstract: Abstract The movement of people into the Americas has brought different populations into contact, and contemporary American genomes are the product of a range of complex admixture events. Here we apply a haplotype-based ancestry identification approach to a large set of genome-wide SNP data from a variety of American, European and African populations to determine the contributions of different ancestral populations to the Americas. Our results provide a fine-scale characterization of the source populations, identify a series of novel, previously unreported contributions from Africa and Europe and highlight geohistorical structure in the ancestry of American admixed populations.

Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/ncomms7596 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7596

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/ncomms7596

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().