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. 2023 Jun 2;17:46. doi: 10.1186/s40246-023-00487-3

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© The Author(s) 2023

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Observational changes in HARE superpopulation heterogeneity across birth cohort in the MVP. Each plot represents an independent birth cohort of approximately 130,000 participants. a Projects PCs 1 and 2 into two-dimensional space for each birth cohort. b, c The oldest and youngest birth cohorts are projected on PC1-versus-PC3 and PC2-versus-PC3, respectively, demonstrating comparable observations when using different combinations of PCs. Clusters of participants are circled to draw attention to observational changes in population heterogeneity across birth cohort. The colors differences used to identify these regions are arbitrary but permit easy tracking of highlighted regions across plots. AFR African, ASN Asian, EUR European, HIS Hispanic