File:Genome-wide ancestry patterns of Colombian, Mexican-American, Puerto Rican and Native Americans.png
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DescriptionGenome-wide ancestry patterns of Colombian, Mexican-American, Puerto Rican and Native Americans.png |
English: Genome-wide ancestry patterns.
(a) Individual ancestry proportions in the 1000 Genomes CLM, MXL, and PUR populations according to admixture, (b) Map showing the sampling locations for the populations most closely related to the Native components of the 1000 Genomes populations. (c) Principal component analysis restricted to genomic segments inferred to be of Native Ancestry in these populations, compared to a reference panel of Native American groups from [40], pooled according to country of origin as a proxy for geography. Populations sampled across many locations are labeled according to the country of the centroid of locations. (d) Zoomed version of the PCA plot, showing specific Native American population labels, colored according to country of origin. |
Date | Published: December 26, 2013 |
Source | Gravel S, Zakharia F, Moreno-Estrada A, Byrnes JK, Muzzio M, Rodriguez-Flores JL, et al. (2013) Reconstructing Native American Migrations from Whole-Genome and Whole-Exome Data. PLoS Genet 9(12): e1004023. doi:10.1371/journal.pgen.1004023 http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1004023 |
Author | Simon Gravel, Fouad Zakharia , Andres Moreno-Estrada, Jake K. Byrnes , Marina Muzzio, Juan L. Rodriguez-Flores, Eimear E. Kenny, Christopher R. Gignoux, Brian K. Maples, Wilfried Guiblet, Julie Dutil, Marc Via, Karla Sandoval, Gabriel Bedoya, The 1000 Genomes Project, Taras K. Oleksyk, Andres Ruiz-Linares, Esteban G. Burchard, Juan Carlos Martinez-Cruzado, Carlos D. Bustamante |
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current | 23:50, 13 January 2017 | 2,752 × 2,968 (1.75 MB) | Was a bee (talk | contribs) | {{Information |Description={{en|1=Genome-wide ancestry patterns. (a) Individual ancestry proportions in the 1000 Genomes CLM, MXL, and PUR populations according to admixture, (b) Map showing the sampling locations for the populations most closely relat... |
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