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Fine-scale genomic analyses of admixed individuals reveal unrecognized genetic ancestry components in Argentina.

Pierre LuisiAngelina GarcíaJuan Manuel BerrosJosefina M B MottiDarío A DemarchiEmma AlfaroEliana AquilanoCarina ArgüellesSergio AvenaGraciela BaillietJulieta BeltramoClaudio Marcelo BraviMariela CuelloCristina B DejeanJosé Edgardo DipierriLaura S Jurado MedinaJosé Luis LanataMarina MuzzioMaría Laura ParolinMaia PauroPaula B Paz SepúlvedaDaniela Rodríguez GolpeMaría Rita SantosMarisol SchwabNatalia SilveroJeremias ZubrzyckiVirginia RamalloHernán Dopazo
Published in: PloS one (2020)
Similarly to other populations across the Americas, Argentinean populations trace back their genetic ancestry into African, European and Native American ancestors, reflecting a complex demographic history with multiple migration and admixture events in pre- and post-colonial times. However, little is known about the sub-continental origins of these three main ancestries. We present new high-throughput genotyping data for 87 admixed individuals across Argentina. This data was combined to previously published data for admixed individuals in the region and then compared to different reference panels specifically built to perform population structure analyses at a sub-continental level. Concerning the Native American ancestry, we could identify four Native American components segregating in modern Argentinean populations. Three of them are also found in modern South American populations and are specifically represented in Central Andes, Central Chile/Patagonia, and Subtropical and Tropical Forests geographic areas. The fourth component might be specific to the Central Western region of Argentina, and it is not well represented in any genomic data from the literature. As for the European and African ancestries, we confirmed previous results about origins from Southern Europe, Western and Central Western Africa, and we provide evidences for the presence of Northern European and Eastern African ancestries.
Keyphrases
  • electronic health record
  • high throughput
  • south africa
  • genome wide
  • big data
  • copy number
  • genetic diversity
  • climate change
  • systematic review
  • single cell
  • machine learning
  • genome wide association study
  • heavy metals