Geographic population structure analysis of worldwide human populations infers their biogeographical origins.

Journal: Nature communications

Volume: 5

Issue: 

Year of Publication: 2015

Affiliated Institutions:  ] Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield, S TN, UK [] Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, N. Wolfe Street, Baltimore, Maryland , USA []. ] Department of Pediatrics, Keck School of Medicine and Children's Hospital Los Angeles, University of Southern California, Sunset Blvd, Los Angeles, California , USA []. T.T. Chang Genetic Resources Center, International Rice Research Institute, Los Baños, Laguna , Philippines. Department of Sciences of Life and Environment, University of Cagliari, SS , Monserrato , Italy. Research Laboratories, bcs Biotech S.r.l., Viale Monastir , Cagliari , Italy. Department of Biology, University of Pisa, Via Ghini , Pisa , Italy. Department of Science of Nature and Territory, University of Sassari, Località Piandanna , Italy. The Wellcome Trust Sanger Institute, Hinxton CB SA, UK. Department of Anthropology, University of Pennsylvania, Philadelphia, Pennsylvania, , USA. Departamento de Toxicología, Cinvestav, San Pedro Zacatenco, CP , Mexico. Instituto de Genética y Biología Molecular, University of San Martin de Porres, Lima, Peru. Departamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, CEP -, Brazil. Institut de Biologia Evolutiva (CSIC-UPF), Departament de Ciences de la Salut i de la Vida, Universitat Pompeu Fabra, Barcelona, Spain. ] Vavilov Institute for General Genetics: , Moscow, Russia [] Research Centre for Medical Genetics: , Moscow, Russia. Research Centre for Medical Genetics: , Moscow, Russia. The Lebanese American University, Chouran, Beirut , Lebanon. National Health Laboratory Service, Sandringham , Johannesburg, South Africa. The Genographic Laboratory, School of Biological Sciences, Madurai Kamaraj University, Madurai , Tamil Nadu, India. Department of ecology and evolutionary biology, University of Arizona, Tucson, Arizona , USA. Department of Anatomy, University of Otago, Dunedin , New Zealand. National Geographic Society, Washington, District of Columbia , USA.

Abstract summary 

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 50 km 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.

Authors & Co-authors:  Elhaik Eran E Tatarinova Tatiana T Chebotarev Dmitri D Piras Ignazio S IS Maria Calò Carla C De Montis Antonella A Atzori Manuela M Marini Monica M Tofanelli Sergio S Francalacci Paolo P Pagani Luca L Tyler-Smith Chris C Xue Yali Y Cucca Francesco F Schurr Theodore G TG Gaieski Jill B JB Melendez Carlalynne C Vilar Miguel G MG Owings Amanda C AC Gómez Rocío R Fujita Ricardo R Santos Fabrício R FR Comas David D Balanovsky Oleg O Balanovska Elena E Zalloua Pierre P Soodyall Himla H Pitchappan Ramasamy R Ganeshprasad Arunkumar A Hammer Michael M Matisoo-Smith Lisa L Wells R Spencer RS

Study Outcome 

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Statistics
Citations :  Tishkoff S. A. & Kidd K. K. Implications of biogeography of human populations for ‘race’ and medicine. Nat. Genet. 36, S21–S27 (2004).
Authors :  33
Identifiers
Doi : 3513
SSN : 2041-1723
Study Population
Male,Female
Mesh Terms
Algorithms
Other Terms
Study Design
Cross Sectional Study
Study Approach
Country of Study
Publication Country
England