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Exploring Genomic Structure Differences and Similarities between the Greek and European HapMap Populations: Implications for Association Studies
Author(s) -
Stathias Vasileios,
Sotiris Georgios R.,
Karagiannidis Iordanis,
Bourikas Georgios,
Martinis Georgios,
Papazoglou Dimitrios,
Tavridou Anna,
Papanas Nikolaos,
Maltezos Efstratios,
Theodoridis Marios,
Vargemezis Vassilios,
Manolopoulos Vangelis G.,
Speed William C.,
Kidd Judith R.,
Kidd Kenneth K.,
Drineas Petros,
Paschou Peristera
Publication year - 2012
Publication title -
annals of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 77
eISSN - 1469-1809
pISSN - 0003-4800
DOI - 10.1111/j.1469-1809.2012.00730.x
Subject(s) - international hapmap project , evolutionary biology , population , biology , genetic association , single nucleotide polymorphism , geography , genetics , demography , genotype , gene , sociology
Summary Studies of the genomic structure of the Greek population and Southeastern Europe are limited, despite the central position of the area as a gateway for human migrations into Europe. HapMap has provided a unique tool for the analysis of human genetic variation. Europe is represented by the CEU (Northwestern Europe) and the TSI populations (Tuscan Italians from Southern Europe), which serve as reference for the design of genetic association studies. Furthermore, genetic association findings are often transferred to unstudied populations. Although initial studies support the fact that the CEU can, in general, be used as reference for the selection of tagging SNPs in European populations, this has not been extensively studied across Europe. We set out to explore the genomic structure of the Greek population (56 individuals) and compare it to the HapMap TSI and CEU populations. We studied 1112 SNPs (27 regions, 13 chromosomes). Although the HapMap European populations are, in general, a good reference for the Greek population, regions of population differentiation do exist and results should not be light‐heartedly generalized. We conclude that, perhaps due to the individual evolutionary history of each genomic region, geographic proximity is not always a perfect guide for selecting a reference population for an unstudied population.