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Annual Research Review: Towards a deeper understanding of nature and nurture: combining family-based quasi-experimental methods with genomic data ; ENEngelskEnglishAnnual Research Review: Towards a deeper understanding of nature and nurture: combining family-based quasi-experimental methods with genomic data

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  • معلومة اضافية
    • الموضوع:
      2022
    • Collection:
      Universitet i Oslo: Digitale utgivelser ved UiO (DUO)
    • نبذة مختصرة :
      Distinguishing between the effects of nature and nurture constitutes a major research goal for those interested in understanding human development. It is known, for example, that many parent traits predict mental health outcomes in children, but the causal processes underlying such associations are often unclear. Family‐based quasi‐experimental designs such as sibling comparison, adoption and extended family studies have been used for decades to distinguish the genetic transmission of risk from the environmental effects family members potentially have on one another. Recently, these designs have been combined with genomic data, and this combination is fuelling a range of exciting methodological advances. In this review we explore these advances – highlighting the ways in which they have been applied to date and considering what they are likely to teach us in the coming years about the aetiology and intergenerational transmission of psychopathology.
    • Relation:
      NFR/288083; McAdams, Tom A. Cheesman, Rosa Catherine Gillespie Ahmadzadeh, Yasmin I. . Annual Research Review: Towards a deeper understanding of nature and nurture: combining family-based quasi-experimental methods with genomic data. Journal of Child Psychology and Psychiatry. 2022; http://hdl.handle.net/10852/107737; 2079827; info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Child Psychology and Psychiatry&rft.volume=&rft.spage=&rft.date=2022; Journal of Child Psychology and Psychiatry; 64; 693; 707; https://doi.org/10.1111/jcpp.13720
    • الرقم المعرف:
      10.1111/jcpp.13720
    • الدخول الالكتروني :
      http://hdl.handle.net/10852/107737
      https://doi.org/10.1111/jcpp.13720
    • Rights:
      Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/
    • الرقم المعرف:
      edsbas.C086D5F7