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Genes predict village of origin in rural Europe

O'Dushlaine, Colm (author)
McQuillan, Ruth (author)
Weale, Michael E. (author)
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Crouch, Daniel J. M. (author)
Johansson, Åsa (author)
Uppsala universitet,Institutionen för genetik och patologi
Aulchenko, Yurii (author)
Franklin, Christopher S. (author)
Polasek, Ozren (author)
Fuchsberger, Christian (author)
Corvin, Aiden (author)
Hicks, Andrew A. (author)
Vitart, Veronique (author)
Hayward, Caroline (author)
Wild, Sarah H. (author)
Meitinger, Thomas (author)
van Duijn, Cornelia M. (author)
Gyllensten, Ulf (author)
Uppsala universitet,Institutionen för genetik och patologi
Wright, Alan F. (author)
Campbell, Harry (author)
Pramstaller, Peter P. (author)
Rudan, Igor (author)
Wilson, James F. (author)
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 (creator_code:org_t)
2010-06-23
2010
English.
In: European Journal of Human Genetics. - : Springer Science and Business Media LLC. - 1018-4813 .- 1476-5438. ; 18:11, s. 1269-1270
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The genetic structure of human populations is important in population genetics, forensics and medicine. Using genome-wide scans and individuals with all four grandparents born in the same settlement, we here demonstrate remarkable geographical structure across 8-30 km in three different parts of rural Europe. After excluding close kin and inbreeding, village of origin could still be predicted correctly on the basis of genetic data for 89-100% of individuals.

Keyword

population structure
principal components
genome-wide genotyping
MEDICINE
MEDICIN

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ref (subject category)
art (subject category)

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