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Article Dans Une Revue European Journal of Human Genetics Année : 2011

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

Bruce Winney
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Tammy Day
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Turi King
Rory Bowden

Résumé

There is a great deal of interest in 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 play 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. Here 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 fine scale genetic information on the British population. So far, some 4,000 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 3,865 samples that have been geocoded indicates that 75% have a mean distance between grandparental places of birth of 37.3km, and that about 70% of grandparental places of birth can be classed as rural. Preliminary genotyping of 1,057 samples demonstrates the value of these samples for investigating fine scale population structure within the UK, and shows how this can be enhanced by the use of surnames.

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Génétique
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Dates et versions

hal-00668573 , version 1 (10-02-2012)

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Bruce Winney, Abdelhamid Boumertit, Tammy Day, Dan Davison, Chikodi Echeta, et al.. People of the British Isles: preliminary analysis of genotypes and surnames in a UK control population. European Journal of Human Genetics, 2011, ⟨10.1038/ejhg.2011.127⟩. ⟨hal-00668573⟩

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