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. 2022 Mar 1;13:1108. doi: 10.1038/s41467-022-28774-y

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© The Author(s) 2022

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. 4 — Correlations between partners’, siblings’, in-laws’, and co-in-laws’ genetic dispositions. Correlations were estimated as Pearson’s correlations between polygenic scores (left) and as correlations between the latent genetic signals with the rGenSi model (right), including 95% likelihood-based confidence intervals. Genetic correlations from the best-fitting models. Values in red are estimated in the current generation. Values in yellow show results when partner correlations are used to predict sibling correlations and vice versa, assuming equilibrium. Predicted and observed correlations are expected to match in equilibrium. Based on genotype data from n = 26,681 complete pairs of partners, n = 2,170 complete sibling pairs, n = 3,905 complete in-law pairs, and n = 1,763 complete co-in-law pairs, and phenotype data from n = 63,781 complete pairs of partners, n = 13,455 complete sibling pairs, n = 21,496 complete in-law pairs, and n = 8,699 complete co-in-laws pairs.