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    People of the British Isles: preliminary analysis of genotypes and surnames in a UK-control population

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    Author
    Winney, B; Boumertit, A; Day, T; Davison, D; Echeta, C; Evseeva, I; Hutnik, K; Leslie, S; Nicodemus, K; Royrvik, EC; ...
    Date
    2012-02-01
    Source Title
    European Journal of Human Genetics
    Publisher
    NATURE PUBLISHING GROUP
    University of Melbourne Author/s
    Leslie, Stephen
    Affiliation
    School of Mathematics and Statistics
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Winney, B., Boumertit, A., Day, T., Davison, D., Echeta, C., Evseeva, I., Hutnik, K., Leslie, S., Nicodemus, K., Royrvik, E. C., Tonks, S., Yang, X., Cheshire, J., Longley, P., Mateos, P., Groom, A., Relton, C., Bishop, D. T., Black, K. ,... Bodmer, W. (2012). People of the British Isles: preliminary analysis of genotypes and surnames in a UK-control population. EUROPEAN JOURNAL OF HUMAN GENETICS, 20 (2), pp.203-210. https://doi.org/10.1038/ejhg.2011.127.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/258967
    DOI
    10.1038/ejhg.2011.127
    Abstract
    There is a great deal of interest in a fine-scale population structure in the UK, both as a signature of historical immigration events and because of the effect population structure may have on disease association studies. Although population structure appears to have a minor impact on the current generation of genome-wide association studies, it is likely to have a significant part in the next generation of studies designed to search for rare variants. A powerful way of detecting such structure is to control and document carefully the provenance of the samples involved. In this study, we describe the collection of a cohort of rural UK samples (The People of the British Isles), aimed at providing a well-characterised UK-control population that can be used as a resource by the research community, as well as providing a fine-scale genetic information on the British population. So far, some 4000 samples have been collected, the majority of which fit the criteria of coming from a rural area and having all four grandparents from approximately the same area. Analysis of the first 3865 samples that have been geocoded indicates that 75% have a mean distance between grandparental places of birth of 37.3 km, and that about 70% of grandparental places of birth can be classed as rural. Preliminary genotyping of 1057 samples demonstrates the value of these samples for investigating a fine-scale population structure within the UK, and shows how this can be enhanced by the use of surnames.

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