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Fig. 1 | BMC Genetics

Fig. 1

From: Application of geographic population structure (GPS) algorithm for biogeographical analyses of populations with complex ancestries: a case study of South Asians from 1000 genomes project

Fig. 1

An admixture plot showing the ancestry components of global populations. Five SAS populations (STU, ITU, GIH, PJL and BEB) from 1000 Genomes Project [33], selected Indian [31] and Pakistani populations [34, 35] alongside French, Karitiana and Surui samples from Brazil, Melanesians, Papuans, Bedouins from Israel, Palestinians [34, 35], Northern and Western Europeans from Utah, USA (CEU), Han Chinese samples from Beijing, China (CHB), and Yorubans from Ibadan, Nigeria (YRI) [33], were evaluated. Percent ancestry is plotted on the Y axis. The ancestral components in evaluated genomes was estimated using ADMIXTURE v1.3. A model with thirteen ancestral components (K = 13) was the most parsimonious to explain the variation and similarities of the genome-wide genotype data. Each individual is represented by a vertical line partitioned into colored segments whose lengths are proportional to the contributions of the ancestral components to the genome of the individual. Population labels were added after each individual’s ancestry had been estimated. To note k1, k2, k3, k4, k5, k6, k7, k8, k9, k10, k11, k12 and k13 represent putative ancestral West Eurasian, Middle Eastern, North Indian, South Indian, Chinese, Telugu, Andamanese, African, Papuan, Melanesian, Surui, Karitiana, and Kalash components respectively

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