IDEAS home Printed from https://ideas.repec.org/a/nat/nathum/v7y2023i5d10.1038_s41562-022-01500-w.html
   My bibliography  Save this article

Partner choice, confounding and trait convergence all contribute to phenotypic partner similarity

Author

Listed:
  • Jennifer Sjaarda

    (University Center for Primary Care and Public Health
    University of Lausanne
    Swiss Institute of Bioinformatics)

  • Zoltán Kutalik

    (University Center for Primary Care and Public Health
    University of Lausanne
    Swiss Institute of Bioinformatics)

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.

Suggested Citation

  • Jennifer Sjaarda & Zoltán Kutalik, 2023. "Partner choice, confounding and trait convergence all contribute to phenotypic partner similarity," Nature Human Behaviour, Nature, vol. 7(5), pages 776-789, May.
  • Handle: RePEc:nat:nathum:v:7:y:2023:i:5:d:10.1038_s41562-022-01500-w
    DOI: 10.1038/s41562-022-01500-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41562-022-01500-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41562-022-01500-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Matthew R. Robinson & Aaron Kleinman & Mariaelisa Graff & Anna A. E. Vinkhuyzen & David Couper & Michael B. Miller & Wouter J. Peyrot & Abdel Abdellaoui & Brendan P. Zietsch & Ilja M. Nolte & Jana V. , 2017. "Genetic evidence of assortative mating in humans," Nature Human Behaviour, Nature, vol. 1(1), pages 1-13, January.
    2. Abdel Abdellaoui & David Hugh-Jones & Loic Yengo & Kathryn E. Kemper & Michel G. Nivard & Laura Veul & Yan Holtz & Brendan P. Zietsch & Timothy M. Frayling & Naomi R. Wray & Jian Yang & Karin J. H. Ve, 2019. "Genetic correlates of social stratification in Great Britain," Nature Human Behaviour, Nature, vol. 3(12), pages 1332-1342, December.
    3. Laurence J. Howe & Daniel J. Lawson & Neil M. Davies & Beate St. Pourcain & Sarah J. Lewis & George Davey Smith & Gibran Hemani, 2019. "Genetic evidence for assortative mating on alcohol consumption in the UK Biobank," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    4. Ronnie Sebro & Gina M Peloso & Josée Dupuis & Neil J Risch, 2017. "Structured mating: Patterns and implications," PLOS Genetics, Public Library of Science, vol. 13(4), pages 1-22, April.
    5. Richard Border & Sean O’Rourke & Teresa de Candia & Michael E. Goddard & Peter M. Visscher & Loic Yengo & Matt Jones & Matthew C. Keller, 2022. "Assortative mating biases marker-based heritability estimators," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    6. Loic Yengo & Matthew R. Robinson & Matthew C. Keller & Kathryn E. Kemper & Yuanhao Yang & Maciej Trzaskowski & Jacob Gratten & Patrick Turley & David Cesarini & Daniel J. Benjamin & Naomi R. Wray & Mi, 2018. "Imprint of assortative mating on the human genome," Nature Human Behaviour, Nature, vol. 2(12), pages 948-954, December.
    7. Gibran Hemani & Kate Tilling & George Davey Smith, 2017. "Orienting the causal relationship between imprecisely measured traits using GWAS summary data," PLOS Genetics, Public Library of Science, vol. 13(11), pages 1-22, November.
    8. Richard Border & Sean O’Rourke & Teresa de Candia & Michael E. Goddard & Peter M. Visscher & Loic Yengo & Matt Jones & Matthew C. Keller, 2022. "Author Correction: Assortative mating biases marker-based heritability estimators," Nature Communications, Nature, vol. 13(1), pages 1-1, December.
    9. Liza Darrous & Ninon Mounier & Zoltán Kutalik, 2021. "Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    10. Matthew C Keller & Christine E Garver-Apgar & Margaret J Wright & Nicholas G Martin & Robin P Corley & Michael C Stallings & John K Hewitt & Brendan P Zietsch, 2013. "The Genetic Correlation between Height and IQ: Shared Genes or Assortative Mating?," PLOS Genetics, Public Library of Science, vol. 9(4), pages 1-10, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tabea Schoeler & Doug Speed & Eleonora Porcu & Nicola Pirastu & Jean-Baptiste Pingault & Zoltán Kutalik, 2023. "Participation bias in the UK Biobank distorts genetic associations and downstream analyses," Nature Human Behaviour, Nature, vol. 7(7), pages 1216-1227, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liza Darrous & Gibran Hemani & George Davey Smith & Zoltán Kutalik, 2024. "PheWAS-based clustering of Mendelian Randomisation instruments reveals distinct mechanism-specific causal effects between obesity and educational attainment," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Kenichi Yamamoto & Kyuto Sonehara & Shinichi Namba & Takahiro Konuma & Hironori Masuko & Satoru Miyawaki & Yoichiro Kamatani & Nobuyuki Hizawa & Keiichi Ozono & Loic Yengo & Yukinori Okada, 2023. "Genetic footprints of assortative mating in the Japanese population," Nature Human Behaviour, Nature, vol. 7(1), pages 65-73, January.
    3. Fartein Ask Torvik & Espen Moen Eilertsen & Laurie J. Hannigan & Rosa Cheesman & Laurence J. Howe & Per Magnus & Ted Reichborn-Kjennerud & Ole A. Andreassen & Pål R. Njølstad & Alexandra Havdahl & Eiv, 2022. "Modeling assortative mating and genetic similarities between partners, siblings, and in-laws," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    4. Hans Kippersluis & Pietro Biroli & Rita Dias Pereira & Titus J. Galama & Stephanie Hinke & S. Fleur W. Meddens & Dilnoza Muslimova & Eric A. W. Slob & Ronald Vlaming & Cornelius A. Rietveld, 2023. "Overcoming attenuation bias in regressions using polygenic indices," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    5. Tabea Schoeler & Doug Speed & Eleonora Porcu & Nicola Pirastu & Jean-Baptiste Pingault & Zoltán Kutalik, 2023. "Participation bias in the UK Biobank distorts genetic associations and downstream analyses," Nature Human Behaviour, Nature, vol. 7(7), pages 1216-1227, July.
    6. Menta, Giorgia & Lepinteur, Anthony & Clark, Andrew E. & Ghislandi, Simone & D'Ambrosio, Conchita, 2023. "Maternal genetic risk for depression and child human capital," Journal of Health Economics, Elsevier, vol. 87(C).
    7. Fasil Tekola-Ayele & Xuehuo Zeng & Suvo Chatterjee & Marion Ouidir & Corina Lesseur & Ke Hao & Jia Chen & Markos Tesfaye & Carmen J. Marsit & Tsegaselassie Workalemahu & Ronald Wapner, 2022. "Placental multi-omics integration identifies candidate functional genes for birthweight," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    8. Adrienne Tin & Pascal Schlosser & Pamela R. Matias-Garcia & Chris H. L. Thio & Roby Joehanes & Hongbo Liu & Zhi Yu & Antoine Weihs & Anselm Hoppmann & Franziska Grundner-Culemann & Josine L. Min & Vic, 2021. "Epigenome-wide association study of serum urate reveals insights into urate co-regulation and the SLC2A9 locus," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
    9. Michael Fritsch & Michael Wyrwich, 2023. "Entrepreneurship in the Long-Run: Empirical Evidence and Historical Mechanisms," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 19(1), pages 1-125, January.
    10. Samuel Baker & Pietro Biroli & Hans van Kippersluis & Stephanie von Hinke, 2022. "Beyond Barker: Infant Mortality at Birth and Ischaemic Heart Disease in Older Age," Bristol Economics Discussion Papers 22/765, School of Economics, University of Bristol, UK.
    11. Michael Fritsch & Martin Obschonka & Fabian Wahl & Michael Wyrwich, 2021. "Cultural Imprinting: Ancient Origins of Entrepreneurship and Innovation in Germany," Jena Economics Research Papers 2021-012, Friedrich-Schiller-University Jena.
    12. von Stumm, Sophie & Kandaswamy, Radhika & Maxwell, Jessye, 2023. "Gene-environment interplay in early life cognitive development," Intelligence, Elsevier, vol. 98(C).
    13. Abdel Abdellaoui & Oana Borcan & Pierre-André Chiappori & David Hugh-Jones, 2022. "Trading Social Status for Genetics in Marriage Markets: Evidence from UK Biobank," Working Papers 2022-018, Human Capital and Economic Opportunity Working Group.
    14. Danielle Rasooly & Gina M. Peloso & Alexandre C. Pereira & Hesam Dashti & Claudia Giambartolomei & Eleanor Wheeler & Nay Aung & Brian R. Ferolito & Maik Pietzner & Eric H. Farber-Eger & Quinn Stanton , 2023. "Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    15. Mingxuan Cai & Zhiwei Wang & Jiashun Xiao & Xianghong Hu & Gang Chen & Can Yang, 2023. "XMAP: Cross-population fine-mapping by leveraging genetic diversity and accounting for confounding bias," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    16. Daly, Michael & Obschonka, Martin & Stuetzer, Michael & Sutin, Angelina & Shaw-Taylor, Leigh & Satchell, Max & Robinson, Eric, 2019. "Neuroticism Mediates the Relationship Between Industrial History and Modern-Day Regional Obesity Levels," MPRA Paper 106505, University Library of Munich, Germany, revised 23 Jul 2020.
    17. Fritsch, Michael & Obschonka, Martin & Wahl, Fabian & Wyrwich, Michael, 2020. "The deep imprint of Roman sandals: Evidence of long-lasting effects of Roman rule on personality, economic performance, and well-being in Germany," Hohenheim Discussion Papers in Business, Economics and Social Sciences 05-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    18. Lucas A. Mavromatis & Daniel B. Rosoff & Andrew S. Bell & Jeesun Jung & Josephin Wagner & Falk W. Lohoff, 2023. "Multi-omic underpinnings of epigenetic aging and human longevity," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    19. Egeland, Jonathan, 2022. "The ups and downs of intelligence: The co-occurrence model and its associated research program," Intelligence, Elsevier, vol. 92(C).
    20. Dixon, Padraig & Harrison, Sean & Hollingworth, William & Davies, Neil M. & Davey Smith, George, 2022. "Estimating the causal effect of liability to disease on healthcare costs using Mendelian Randomization," Economics & Human Biology, Elsevier, vol. 46(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nathum:v:7:y:2023:i:5:d:10.1038_s41562-022-01500-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.