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Reconstructing Roma History from Genome-Wide Data

Overview of attention for article published in PLOS ONE, March 2013
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Title
Reconstructing Roma History from Genome-Wide Data
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0058633
Pubmed ID
Authors

Priya Moorjani, Nick Patterson, Po-Ru Loh, Mark Lipson, Péter Kisfali, Bela I. Melegh, Michael Bonin, Ľudevít Kádaši, Olaf Rieß, Bonnie Berger, David Reich, Béla Melegh

Abstract

The Roma people, living throughout Europe and West Asia, are a diverse population linked by the Romani language and culture. Previous linguistic and genetic studies have suggested that the Roma migrated into Europe from South Asia about 1,000-1,500 years ago. Genetic inferences about Roma history have mostly focused on the Y chromosome and mitochondrial DNA. To explore what additional information can be learned from genome-wide data, we analyzed data from six Roma groups that we genotyped at hundreds of thousands of single nucleotide polymorphisms (SNPs). We estimate that the Roma harbor about 80% West Eurasian ancestry-derived from a combination of European and South Asian sources-and that the date of admixture of South Asian and European ancestry was about 850 years before present. We provide evidence for Eastern Europe being a major source of European ancestry, and North-west India being a major source of the South Asian ancestry in the Roma. By computing allele sharing as a measure of linkage disequilibrium, we estimate that the migration of Roma out of the Indian subcontinent was accompanied by a severe founder event, which appears to have been followed by a major demographic expansion after the arrival in Europe.

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Geographical breakdown

Country Count As %
France 1 <1%
Brazil 1 <1%
Romania 1 <1%
Spain 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 111 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 26%
Researcher 23 20%
Student > Bachelor 14 12%
Student > Master 10 9%
Professor 7 6%
Other 20 17%
Unknown 13 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 39%
Biochemistry, Genetics and Molecular Biology 20 17%
Medicine and Dentistry 9 8%
Social Sciences 8 7%
Computer Science 4 3%
Other 15 13%
Unknown 15 13%