375 (p = <0.136). As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer-reviewed and may be re-organised <a href="http://www.selleckchem.com/products/Adriamycin.html
">Doxorubicin manufacturer for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. ""Turkey has experienced major population movements. Population structure and genetic relatedness of samples from three regions of Turkey, using over 500,000 SNP genotypes, were compared together with Human Genome Diversity Panel (HGDP) data. To obtain a more representative sampling from Central Asia, Kyrgyz samples (Bishkek, Kyrgyzstan) were genotyped and analysed. Principal component (PC) analysis reveals a significant overlap between Turks and Middle Easterners and a relationship with Europeans and South and Central Asians; however, the Turkish genetic structure is unique. FRAPPE, STRUCTURE, and phylogenetic analyses support the PC analysis depending upon the www.selleckchem.com
number of parental ancestry components chosen. For example, supervised STRUCTURE (K= 3) illustrates a genetic ancestry for the Turks of 45% Middle Eastern (95% CI, 42�C49), 40% European (95% CI, 36�C44) and 15% Central Asian (95% CI, 13�C16), whereas at K= 4 the genetic ancestry of the Turks was 38% European (95% CI, 35�C42), 35% Middle Eastern (95% CI, 33�C38), 18% South Asian (95% CI, 16�C19) and 9% Central Asian (95% CI, 7�C11). PC analysis and FRAPPE/STRUCTURE results from three regions in Turkey (Aydin, Istanbul and Kayseri) were superimposed, without clear subpopulation structure, suggesting sample homogeneity. Thus, this study demonstrates admixture of Turkish people reflecting the population migration patterns. Analysis of population genetic substructure has been improved by using high-density single nucleotide polymorphism (SNP) arrays. Knowledge of the patterns of variation within continental populations is useful for several reasons, SCH 772984
such as understanding the origin and migration of population groups and providing information on allele frequency for genetic association studies. Recent genome-wide association studies have shown that discovering and accounting for differences (e.g. controlling for population structure even at a fine level within a seemingly homogeneous population) in substructure can reduce error rates in association studies (Tian et al., 2008; McClellan & King, 2010; Price et al., 2010; Rosenberg et al., 2010). The Human Genome Diversity Panel (HGDP) (Cavalli-Sforza, 2005) has facilitated the discovery of the origin of human genetic diversity, genetic relatedness, and population structure among world populations by providing samples of genomic DNA and genotype data (Cann et al., 2002; Rosenberg et al., 2002; Li et al., 2008).