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English: Four methods for assessing population structure using large-scale single-nucleotide polymorphism data. (a) Ancestry proportion inference using ADMIXTURE (K = 2–5 from top to bottom). (b) Principal components analysis. (y-axis = PC1, x-axis = PC2). (c) Visualization of effective migration rates using EEMS (brown = low effective migration; blue = high effective migration). (d) Plot of populations in ‘geogenetic’ space using SpaceMix. Each method is applied to the dataset analysed in [92] after filtering out populations with fewer than 10 individuals, where population identifiers are defined on the basis of grandparental ancestry. Structure is visible, even though FST-values average 0.004 between broad geographic regions in Europe [92]. |
| Date | Available online 20 September 2016 |
| Source | John Novembre, Benjamin M Peter (2016) Recent advances in the study of fine-scale population structure in humans. Current Opinion in Genetics & Development. Volume 41, December 2016, Pages 98–105 https://dx.doi.org/10.1016/j.gde.2016.08.007 |
| Author | John Novembre, Benjamin M Peter |
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| current | 03:34, 22 December 2019 | | 772 × 595 (483 KB) | Was a bee (talk | contribs) | {{Information |Description={{en|1=Four methods for assessing population structure using large-scale single-nucleotide polymorphism data. (a) Ancestry proportion inference using ADMIXTURE (K = 2–5 from top to bottom). (b) Principal components analysis. (y-axis = PC1, x-axis = PC2). (c) Visualization of effective migration rates using EEMS (brown = low effective migration; blue = high effective migration). (d) Plot of populations in ‘geogenetic’ space using SpaceMix. Each method is applied to t... |
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