Linkage disequilibrium patterns and tagSNP transferability among European populations.

Authors:
Jakob C Mueller, Elin Lõhmussaar, Reedik Mägi, Maido Remm, Thomas Bettecken, Peter Lichtner, Saskia Biskup, Thomas Illig, Arne Pfeufer, Jan Luedemann, Stefan Schreiber, Peter Pramstaller, Irene Pichler, Giovanni Romeo, Anthony Gaddi, Alessandra Testa, Heinz-Erich Wichmann, Andres Metspalu, Thomas Meitinger
Year of publication:
2005
Volume:
76
Issue:
3
Issn:
0002-9297
Journal title abbreviated:
AM J HUM GENET
Journal title long:
American journal of human genetics
Impact factor:
10.794
Abstract:
The pattern of linkage disequilibrium (LD) is critical for association studies, in which disease-causing variants are identified by allelic association with adjacent markers. The aim of this study is to compare the LD patterns in several distinct European populations. We analyzed four genomic regions (in total, 749 kb) containing candidate genes for complex traits. Individuals were genotyped for markers that are evenly distributed at an average spacing of approximately 2-4 kb in eight population-based samples from ongoing epidemiological studies across Europe. The Centre d''Etude du Polymorphisme Humain (CEPH) trios of the HapMap project were included and were used as a reference population. In general, we observed a conservation of the LD patterns across European samples. Nevertheless, shifts in the positions of the boundaries of high-LD regions can be demonstrated between populations, when assessed by a novel procedure based on bootstrapping. Transferability of LD information among populations was also tested. In two of the analyzed gene regions, sets of tagging single-nucleotide polymorphisms (tagSNPs) selected from the HapMap CEPH trios performed surprisingly well in all local European samples. However, significant variation in the other two gene regions predicts a restricted applicability of CEPH-derived tagging markers. Simulations based on our data set show the extent to which further gain in tagSNP efficiency and transferability can be achieved by increased SNP density.