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. 2019 Feb 26;2(2):e201800221. doi: 10.26508/lsa.201800221

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© 2019 Luo et al.

This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

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Figure 5. — Based on 286 individuals from all populations (including all DNA source types) in the SGDP dataset. Each point corresponds to an individual and is colored by the corresponding geographic region defined by SDGP: Africans, West Eurasians (WE), Central Asians–Siberians (CAS), East Asians (EA), South Asians (SA), Oceanians, and Native Americans (NA). Multidimensional scaling was performed in Python using the manifold.MDS([n_components, metric, n_init,s..]) function from the sklearn.manifold module. The data fit by the model uses the Euclidean distance between x_i and x_j where the mth entry in vector x_i is the copy number of allele m in individual i, taking possible values 0, 1, or 2.