The Role of Genes and Environment in Degree of Partner Self-Similarity

James M. Sherlock*, Karin J.H. Verweij, Sean C. Murphy, Andrew C. Heath, Nicholas G. Martin, Brendan P. Zietsch

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Choice of romantic partner is an enormously important component of human life, impacting almost every facet of day-to-day existence, however; the processes underlying this choice are remarkably complex and have so far been largely resistant to scientific explanation. One consistent finding is that, on average, members of romantic dyads tend to be more alike than would be expected by chance. Selecting for self-similarity is at least partially driven by phenotypic matching wherein couples share similar phenotypes, and preferences for a number of these traits are partly genetically influenced (e.g., education, height, social attitudes and religiosity). This suggests that genetically influenced preferences for self-similarity might contribute to phenotypic matching (and thus assortative mating), but it has never been studied in actual couples. In the present study, we use a large sample of twins to model sources of variation in self-similarity between partners. Biometrical modelling revealed that very little of the variation in the tendency to assortatively mate across 14 traits was due to genetic effects (7 %) or the shared environment of twins (0 %).

Original languageEnglish
Pages (from-to)25-35
Number of pages11
JournalBehavior Genetics
Volume47
Issue number1
DOIs
Publication statusPublished - 1 Jan 2017

Funding

This study was funded by joint grants from the National Institutes of Health (Grant Numbers: AA07535, AA07728, AA10249, AA11998, MH31392) and the National Health and Medical Research Council (Australia, Grant Numbers: 941177 and 971232). James M. Sherlock is supported by an Australian Postgraduate Award. We also wish to thank Drew Bailey for integral input in developing a measure of the heritability of assortative mating.

FundersFunder number
National Institutes of HealthAA10249, AA11998, MH31392, AA07728, AA07535
National Health and Medical Research Council941177, 971232

    Keywords

    • Assortative mating
    • Mate choice
    • Quantitative genetics
    • Romantic preference
    • Self-similarity

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