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. 2021 Sep 14;12:5425. doi: 10.1038/s41467-021-25289-w

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — a Global distribution of ancient individuals screened for ROH. b Global distribution of ancient individuals with long ROH. c–f We plot sROH_[4,8] for individuals (represented as circles) within several geographic transects (defined in Table S1). Mean estimates were calculated from a Gaussian Process (GP) model (solid black line, see Section “Methods”), as well as 95% empirical confidence intervals for both individuals (light gray) and for the estimated mean (dark gray). Note the square root scale (chosen for GP modeling, see Section “Methods”). Individuals with values larger than the upper y-axis limit are indicated on top of the panels (upward triangles). Horizontal dashed lines depict expectations for sROH_[4,8] for panmictic population sizes (see formulas in Supplementary Note 4). In the gray bar at the top of each panel, we indicate individuals with sROH_>20 more than 100 (squares) and 50 cM (downward triangles), which are plausibly offspring of close kin (held out when fitting the GP). Where available, we show ROH in present-day individuals (light-gray points for each individual, violin plot for density estimate).