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An evaluation of HapMap sample size and tagging SNP performance in large-scale empirical and simulated data sets
Journal article   Peer reviewed

An evaluation of HapMap sample size and tagging SNP performance in large-scale empirical and simulated data sets

Eleftheria Zeggini, William Rayner, Andrew P Morris, Andrew T Hattersley, Mark Walker, Graham A Hitman, Panos Deloukas, Lon R Cardon and Mark I McCarthy
Nature genetics, Vol.37(12), pp.1320-1322
01/12/2005
PMID: 16258542

Abstract

A substantial investment has been made in the generation of large public resources designed to enable the identification of tag SNP sets, but data establishing the adequacy of the sample sizes used are limited. Using large-scale empirical and simulated data sets, we found that the sample sizes used in the HapMap project are sufficient to capture common variation, but that performance declines substantially for variants with minor allele frequencies of <5%.

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