IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i14p2567-d249462.html
   My bibliography  Save this article

Children’s DAT1 Polymorphism Moderates the Relationship Between Parents’ Psychological Profiles, Children’s DAT Methylation, and Their Emotional/Behavioral Functioning in a Normative Sample

Author

Listed:
  • Silvia Cimino

    (Department of Dynamic and Clinical Psychology, Sapienza University of Rome, 00186 Rome, Italy)

  • Luca Cerniglia

    (Faculty of Psychology, International Telematic University Uninettuno, 00186 Rome, Italy)

  • Giulia Ballarotto

    (Department of Dynamic and Clinical Psychology, Sapienza University of Rome, 00186 Rome, Italy)

  • Eleonora Marzilli

    (Department of Dynamic and Clinical Psychology, Sapienza University of Rome, 00186 Rome, Italy)

  • Esterina Pascale

    (Department of Medical Surgical Sciences and Biotechnology, Sapienza University of Rome, 00186 Rome, Italy)

  • Claudio D’Addario

    (Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100 Teramo, Italy)

  • Walter Adriani

    (Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, 00186 Rome, Italy)

  • Angelo Giovanni Icro Maremmani

    (Department of Psychiatry, North-Western Tuscany Region Local Health Unit, 55049 Viareggio, Italy)

  • Renata Tambelli

    (Department of Dynamic and Clinical Psychology, Sapienza University of Rome, 00186 Rome, Italy)

Abstract

Parental psychopathological risk is considered as one of the most crucial features associated with epigenetic modifications in offspring, which in turn are thought to be related to their emotional/behavioral profiles. The dopamine active transporter (DAT) gene is suggested to play a significant role in affective/behavioral regulation. On the basis of the previous literature, we aimed at verifying whether children’s DAT1 polymorphisms moderated the relationship between parents’ psychological profiles, children’s emotional/behavioral functioning, and DAT1 methylation in a normative sample of 79 families with school-age children (Ntot = 237). Children’s biological samples were collected through buccal swabs, while Symptom Check-List-90 item Revised, Adult Self Report, and Child Behavior Check-List/6–18 was administered to assess parental and children’s psychological functioning. We found that higher maternal externalizing problems predicted the following: higher levels of children’s DAT1 methylation at M1, but only among children with 10/10 genotype; higher levels of methylation at M2 among children with 10/10 genotype; while lower levels for children with a 9-repeat allele. There was also a positive relationship between fathers’ externalizing problems and children’s externalizing problems, only for children with a 9-repeat allele. Our findings support emerging evidence of the complex interplay between genetic and environmental factors in shaping children’ emotional/behavioral functioning, contributing to the knowledge of risk variables for a child’s development and psychological well-being.

Suggested Citation

  • Silvia Cimino & Luca Cerniglia & Giulia Ballarotto & Eleonora Marzilli & Esterina Pascale & Claudio D’Addario & Walter Adriani & Angelo Giovanni Icro Maremmani & Renata Tambelli, 2019. "Children’s DAT1 Polymorphism Moderates the Relationship Between Parents’ Psychological Profiles, Children’s DAT Methylation, and Their Emotional/Behavioral Functioning in a Normative Sample," IJERPH, MDPI, vol. 16(14), pages 1-20, July.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:14:p:2567-:d:249462
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/14/2567/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/14/2567/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Virginia Hughes, 2014. "Epigenetics: The sins of the father," Nature, Nature, vol. 507(7490), pages 22-24, March.
    2. D. R. Cox, 1992. "Causality: Some Statistical Aspects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 155(2), pages 291-301, March.
    3. Wunsch, Guillaume & Mouchart, Michel & Russo, Federica, 2010. "Do we necessarily need longitudinal data to infer causal relations?," LIDAM Reprints ISBA 2010016, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    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. Laura De Nardi & Valentina Carpentieri & Esterina Pascale & Mariangela Pucci & Claudio D'Addario & Luca Cerniglia & Walter Adriani & Silvia Cimino, 2020. "Involvement of DAT1 Gene on Internet Addiction: Cross-Correlations of Methylation Levels in 5′-UTR and 3’-UTR Genotypes, Interact with Impulsivity and Attachment-Driven Quality of Relationships," IJERPH, MDPI, vol. 17(21), pages 1-11, October.
    2. Claire Blewitt & Heather Morris & Kylie Jackson & Helen Barrett & Heidi Bergmeier & Amanda O’Connor & Aya Mousa & Andrea Nolan & Helen Skouteris, 2020. "Integrating Health and Educational Perspectives to Promote Preschoolers’ Social and Emotional Learning: Development of a Multi-Faceted Program Using an Intervention Mapping Approach," IJERPH, MDPI, vol. 17(2), pages 1-24, January.
    3. Eleonora Marzilli & Luca Cerniglia & Giulia Ballarotto & Silvia Cimino, 2020. "Internet Addiction among Young Adult University Students: The Complex Interplay between Family Functioning, Impulsivity, Depression, and Anxiety," IJERPH, MDPI, vol. 17(21), pages 1-15, November.

    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. Wunsch, Guillaume & Mouchart, Michel & Russo, Federica, 2017. "Causal attribution in block-recursive social sytems. A structural modeling perspective," LIDAM Discussion Papers ISBA 2017029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Guillaume Wunsch & Federica Russo & Michel Mouchart & Renzo Orsi, 2020. "Time and Causality in the Social Sciences," Working Papers wp1155, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Eleonora Marzilli & Luca Cerniglia & Silvia Cimino & Renata Tambelli, 2022. "Internet Addiction among Young Adult University Students during the COVID-19 Pandemic: The Role of Peritraumatic Distress, Attachment, and Alexithymia," IJERPH, MDPI, vol. 19(23), pages 1-22, November.
    4. Catherine Gaumé & Guillaume Wunsch, 2010. "Self-Rated Health in the Baltic Countries, 1994–1999," European Journal of Population, Springer;European Association for Population Studies, vol. 26(4), pages 435-457, November.
    5. Lenihan, Helena & McGuirk, Helen & Murphy, Kevin R., 2019. "Driving innovation: Public policy and human capital," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    6. Sonia Nawrocka & Hans De Witte & Margherita Pasini & Margherita Brondino, 2023. "A Person-Centered Approach to Job Insecurity: Is There a Reciprocal Relationship between the Quantitative and Qualitative Dimensions of Job Insecurity?," IJERPH, MDPI, vol. 20(7), pages 1-27, March.
    7. Alok Bhargava, 2006. "Modelling the Health of Filipino Children," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 11, pages 153-168, World Scientific Publishing Co. Pte. Ltd..
    8. Sebastiano, Antonio & Belvedere, Valeria & Grando, Alberto & Giangreco, Antonio, 2017. "The effect of capacity management strategies on employees' well-being: A quantitative investigation into the long-term healthcare industry," European Management Journal, Elsevier, vol. 35(4), pages 563-573.
    9. Steven Spears & Marlon G Boarnet & Douglas Houston, 2017. "Driving reduction after the introduction of light rail transit: Evidence from an experimental-control group evaluation of the Los Angeles Expo Line," Urban Studies, Urban Studies Journal Limited, vol. 54(12), pages 2780-2799, September.
    10. Emanuela Gualdi-Russo & Natascia Rinaldo & Luciana Zaccagni, 2022. "Physical Activity and Body Image Perception in Adolescents: A Systematic Review," IJERPH, MDPI, vol. 19(20), pages 1-28, October.
    11. Hodula, Martin & Melecký, Martin & Pfeifer, Lukáš & Szabo, Milan, 2023. "Cooling the mortgage loan market: The effect of borrower-based limits on new mortgage lending," Journal of International Money and Finance, Elsevier, vol. 132(C).
    12. Guido W. Imbens, 2022. "Causality in Econometrics: Choice vs Chance," Econometrica, Econometric Society, vol. 90(6), pages 2541-2566, November.
    13. Tukufu Zuberi, 2000. "Deracializing Social Statistics: Problems in the Quantification of Race," The ANNALS of the American Academy of Political and Social Science, , vol. 568(1), pages 172-185, March.
    14. Mouchart, Michel & Russo, Federica & Wunsch, Guillaume, 2011. "Inferring causal relations by modelling structures : Article de recherche," LIDAM Discussion Papers ISBA 2011007, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    15. M. Mouchart & R. Orsi & G. Wunsch, 2020. "Causality in Econometric Modeling. From Theory to Structural Causal Modeling," Working Papers wp1143, Dipartimento Scienze Economiche, Universita' di Bologna.
    16. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    17. Duo Qin, 2019. "Let’s take the bias out of econometrics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 26(2), pages 81-98, April.
    18. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, Institute of Labor Economics (IZA).
    19. Steven M. Shugan, 2007. "—Causality, Unintended Consequences and Deducing Shared Causes," Marketing Science, INFORMS, vol. 26(6), pages 731-741, 11-12.
    20. Yadolah Dodge & Iraj Yadegari, 2010. "On direction of dependence," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 72(1), pages 139-150, July.

    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:gam:jijerp:v:16:y:2019:i:14:p:2567-:d:249462. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.