Evaluation of HapMap data in six populations of European descent.
We studied how well the European CEU samples used in the Haplotype Mapping Project (HapMap) represent five European populations by analyzing nuclear family samples from the Swedish, Finnish, Dutch, British and Australian (European ancestry) populations. The number of samples from each population (about 30 parent-offspring trios) was similar to that in the HapMap sample sets. A panel of 186 single nucleotide polymorphisms (SNPs) distributed over the 1.5 Mb region of the GRID2 gene on chromosome 4 was genotyped. The genotype data were compared pair-wise between the HapMap sample and the other population samples. Principal component analysis (PCA) was used to cluster the data from different populations with respect to allele frequencies and to define the markers responsible for observed variance. The only sample with detectable differences in allele frequencies was that from Kuusamo, Finland. This sample also separated from the others, including the other Finnish sample, in the PCA analysis. A set of tagSNPs was defined based on the HapMap data and applied to the samples. The tagSNPs were found to capture the genetic variation in the analyzed region at r(2)>0.8 at levels ranging from 95% in the Kuusamo sample to 87% in the Australian sample. To capture the maximal genetic variation in the region, the Kuusamo, HapMap and Australian samples required 58, 63 and 73 native tagSNPs, respectively. The HapMap CEU sample represents the European samples well for tagSNP selection, with some caution regarding estimation of allele frequencies in the Finnish Kuusamo sample, and a slight reduction in tagging efficiency in the Australian sample.
Lundmark
Per E
PE
Molecular Medicine, Department of Medical Sciences, Uppsala University Hospital, Uppsala University, Uppsala, Sweden.
Liljedahl
Ulrika
U
Boomsma
Dorret I
DI
Mannila
Heikki
H
Martin
Nicholas G
NG
Palotie
Aarno
A
Peltonen
Leena
L
Perola
Markus
M
Spector
Tim D
TD
Syvänen
Ann-Christine
AC
D002874:Chromosome Mapping; D030541:Databases, Genetic; D005787:Gene Frequency; D006239:Haplotypes; D006801:Humans; D015810:Linkage Disequilibrium; D020641:Polymorphism, Single Nucleotide; D025341:Principal Component Analysis / Q000379:methods; D017470:Receptors, Glutamate / Q000235:genetics; D044465:White People / Q000235:genetics*
D017470:Receptors, Glutamate; C107913:glutamate receptor delta 2