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Genes predict village of origin in rural Europe

  • C O'Dushlaine
  • , R McQuillan
  • , ME Weale
  • , DJM Crouch
  • , A Johansson
  • , Yuriy Aulchenko
  • , CS Franklin
  • , O Polasek
  • , C Fuchsberger
  • , A Corvin
  • , AA Hicks
  • , V Vitart
  • , C Hayward
  • , SH Wild
  • , T Meitinger
  • , Cornelia Duijn
  • , U Gyllensten
  • , AF Wright
  • , H Campbell
  • , PP Pramstaller
  • I Rudan, JF Wilson

Research output: Contribution to journalArticleAcademicpeer-review

23 Citations (Scopus)

Abstract

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. European Journal of Human Genetics (2010) 18, 1269-1270; doi: 10.1038/ejhg.2010.92; published online 23 June 2010
Original languageUndefined/Unknown
Pages (from-to)1269-1270
Number of pages2
JournalEuropean Journal of Human Genetics
Volume18
Issue number11
DOIs
Publication statusPublished - 2010

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research programs

  • EMC NIHES-01-64-02

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