Using ancestry-informative markers to identify fine structure across 15 populations of European origin

被引:0
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作者
Laura M Huckins
Vesna Boraska
Christopher S Franklin
James A B Floyd
Lorraine Southam
Patrick F Sullivan
Cynthia M Bulik
David A Collier
Chris Tyler-Smith
Eleftheria Zeggini
Ioanna Tachmazidou
机构
[1] The Wellcome Trust Sanger Institute (WTSI),
[2] University of Split School of Medicine,undefined
[3] University of North Carolina,undefined
[4] King’s College,undefined
[5] GCAN members are listed before the references.,undefined
[6] WTCCC3 members are listed before the references.,undefined
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关键词
population stratification; AIMs; principal component analysis;
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摘要
The Wellcome Trust Case Control Consortium 3 anorexia nervosa genome-wide association scan includes 2907 cases from 15 different populations of European origin genotyped on the Illumina 670K chip. We compared methods for identifying population stratification, and suggest list of markers that may help to counter this problem. It is usual to identify population structure in such studies using only common variants with minor allele frequency (MAF) >5%; we find that this may result in highly informative SNPs being discarded, and suggest that instead all SNPs with MAF >1% may be used. We established informative axes of variation identified via principal component analysis and highlight important features of the genetic structure of diverse European-descent populations, some studied for the first time at this scale. Finally, we investigated the substructure within each of these 15 populations and identified SNPs that help capture hidden stratification. This work can provide information regarding the designing and interpretation of association results in the International Consortia.
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页码:1190 / 1200
页数:10
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