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Infants’ looking preferences for social versus non-social objects reflect genetic variation

Author

Listed:
  • Ana Maria Portugal

    (Uppsala University
    Karolinska Institutet & Stockholm Health Care Services)

  • Charlotte Viktorsson

    (Uppsala University)

  • Mark J. Taylor

    (Karolinska Institutet)

  • Luke Mason

    (King’s College London)

  • Kristiina Tammimies

    (Karolinska Institutet & Stockholm Health Care Services
    Karolinska University Hospital)

  • Angelica Ronald

    (University of Surrey)

  • Terje Falck-Ytter

    (Uppsala University
    Karolinska Institutet & Stockholm Health Care Services
    Swedish Collegium for Advanced Study)

Abstract

To what extent do individual differences in infants’ early preference for faces versus non-facial objects reflect genetic and environmental factors? Here in a sample of 536 5-month-old same-sex twins, we assessed attention to faces using eye tracking in two ways: initial orienting to faces at the start of the trial (thought to reflect subcortical processing) and sustained face preference throughout the trial (thought to reflect emerging attention control). Twin model fitting suggested an influence of genetic and unique environmental effects, but there was no evidence for an effect of shared environment. The heritability of face orienting and preference were 0.19 (95% confidence interval (CI) 0.04 to 0.33) and 0.46 (95% CI 0.33 to 0.57), respectively. Face preference was associated positively with later parent-reported verbal competence (β = 0.14, 95% CI 0.03 to 0.25, P = 0.014, R2 = 0.018, N = 420). This study suggests that individual differences in young infants’ selection of perceptual input—social versus non-social—are heritable, providing a developmental perspective on gene–environment interplay occurring at the level of eye movements.

Suggested Citation

  • Ana Maria Portugal & Charlotte Viktorsson & Mark J. Taylor & Luke Mason & Kristiina Tammimies & Angelica Ronald & Terje Falck-Ytter, 2024. "Infants’ looking preferences for social versus non-social objects reflect genetic variation," Nature Human Behaviour, Nature, vol. 8(1), pages 115-124, January.
  • Handle: RePEc:nat:nathum:v:8:y:2024:i:1:d:10.1038_s41562-023-01764-w
    DOI: 10.1038/s41562-023-01764-w
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    References listed on IDEAS

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    1. Tian Ge & Chia-Yen Chen & Yang Ni & Yen-Chen Anne Feng & Jordan W. Smoller, 2019. "Polygenic prediction via Bayesian regression and continuous shrinkage priors," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    2. John N. Constantino & Stefanie Kennon-McGill & Claire Weichselbaum & Natasha Marrus & Alyzeh Haider & Anne L. Glowinski & Scott Gillespie & Cheryl Klaiman & Ami Klin & Warren Jones, 2017. "Infant viewing of social scenes is under genetic control and is atypical in autism," Nature, Nature, vol. 547(7663), pages 340-344, July.
    3. Vassily Trubetskoy & Antonio F. Pardiñas & Ting Qi & Georgia Panagiotaropoulou & Swapnil Awasthi & Tim B. Bigdeli & Julien Bryois & Chia-Yen Chen & Charlotte A. Dennison & Lynsey S. Hall & Max Lam & K, 2022. "Mapping genomic loci implicates genes and synaptic biology in schizophrenia," Nature, Nature, vol. 604(7906), pages 502-508, April.
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