Abstract

Partners are often similar in terms of their physical and behavioural traits, such as their education, political affiliation and height. However, it is currently unclear what exactly causes this similarity—partner choice, partner influence increasing similarity over time or confounding factors such as shared environment or indirect assortment. Here, we applied Mendelian randomization to the data of 51,664 couples in the UK Biobank and investigated partner similarity in 118 traits. We found evidence of partner choice for 64 traits, 40 of which had larger phenotypic correlation than causal effect. This suggests that confounders contribute to trait similarity, among which household income, overall health rating and education accounted for 29.8, 14.1 and 11.6% of correlations between partners, respectively. Finally, mediation analysis revealed that most causal associations between different traits in the two partners are indirect. In summary, our results show the mechanisms through which indirect assortment increases the observed partner similarity.

Partners are often similar in traits, such as their education and political views, but it is unclear what exactly causes this similarity. Using Mendelian randomization and data on 50,000 partner pairs, the authors show that similarity in different traits can be explained by partner choice, confounding factors and convergence over time.

Details

Title
Partner choice, confounding and trait convergence all contribute to phenotypic partner similarity
Author
Sjaarda, Jennifer 1 ; Kutalik, Zoltán 1   VIAFID ORCID Logo 

 University Center for Primary Care and Public Health, Lausanne, Switzerland (GRID:grid.511931.e) (ISNI:0000 0004 8513 0292); University of Lausanne, Department of Computational Biology, Lausanne, Switzerland (GRID:grid.9851.5) (ISNI:0000 0001 2165 4204); Swiss Institute of Bioinformatics, Lausanne, Switzerland (GRID:grid.419765.8) (ISNI:0000 0001 2223 3006) 
Pages
776-789
Publication year
2023
Publication date
May 2023
Publisher
Nature Publishing Group
e-ISSN
23973374
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2817273996
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.