Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Disentangling the influences of parental genetics on offspring's cognition, education, and psychopathology via genetic and phenotypic pathways.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • المصدر:
      Publisher: Blackwell Publishers Country of Publication: England NLM ID: 0375361 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-7610 (Electronic) Linking ISSN: 00219630 NLM ISO Abbreviation: J Child Psychol Psychiatry Subsets: MEDLINE
    • بيانات النشر:
      Publication: 2002- : Oxford : Blackwell Publishers
      Original Publication: Oxford ; New York : Pergamon Press
    • الموضوع:
    • نبذة مختصرة :
      Background: Specific pathways of intergenerational transmission of behavioral traits remain unclear. Here, we aim to investigate how parental genetics influence offspring cognition, educational attainment, and psychopathology in youth.
      Methods: Participants for the discovery sample were 2,189 offspring (aged 6-14 years), 1898 mothers and 1,017 fathers who underwent genotyping, psychiatric, and cognitive assessments. We calculated polygenic scores (PGS) for cognition, educational attainment, attention-deficit hyperactivity disorder (ADHD), and schizophrenia for the trios. Phenotypes studied included educational and cognitive measures, ADHD and psychotic symptoms. We used a stepwise approach and multiple mediation models to analyze the effect of parental PGS on offspring traits via offspring PGS and parental phenotype. Significant results were replicated in a sample of 1,029 adolescents, 363 mothers, and 307 fathers.
      Results: Maternal and paternal PGS for cognition influenced offspring general intelligence and executive function via offspring PGS (genetic pathway) and parental education (phenotypic pathway). Similar results were found for parental PGS for educational attainment and offspring reading and writing skills. These pathways fully explained associations between parental PGS and offspring phenotypes, without residual direct association. Associations with maternal, but not paternal, PGS were replicated. No associations were found between parental PGS for psychopathology and offspring specific symptoms.
      Conclusions: Our findings indicate that parental genetics influences offspring cognition and educational attainment by genetic and phenotypic pathways, suggesting the expression of parental phenotypes partially explain the association between parental genetic risk and offspring outcomes. Multiple mediations might represent an effective approach to disentangle distinct pathways for intergenerational transmission of behavioral traits.
      (© 2022 Association for Child and Adolescent Mental Health.)
    • References:
      Balbona, J.V., Kim, Y., & Keller, M.C. (2021). Estimation of parental effects using polygenic scores. Behavior Genetics, 51, 264-278.
      Bates, T.C., Maher, B.S., Medland, S.E., McAloney, K., Wright, M.J., Hansell, N.K., … & Gillespie, N.A. (2018). The nature of nurture: Using a virtual-parent design to test parenting effects on Children's educational attainment in genotyped families. Twin Research and Human Genetics, 21, 73-83.
      Cheesman, R., Eilertsen, E.M., Ahmadzadeh, Y.I., Gjerde, L.C., Hannigan, L.J., Havdahl, A., … & McAdams, T.A. (2020). How important are parents in the development of child anxiety and depression? A genomic analysis of parent-offspring trios in the Norwegian Mother Father and Child Cohort Study (MoBa). BMC Medicine, 18, 284.
      de Zeeuw, E.L., Hottenga, J.-J., Ouwens, K.G., Dolan, C.V., Ehli, E.A., Davies, G.E., … & van Bergen, E. (2020). Intergenerational transmission of education and ADHD: Effects of parental genotypes. Behavior Genetics, 50, 221-232.
      Demontis, D., Walters, R.K., Martin, J., Mattheisen, M., Als, T.D., Agerbo, E., … & Neale, B.M. (2019). Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nature Genetics, 51, 63-75.
      Engelhardt, L.E., Church, J.A., Paige Harden, K., & Tucker-Drob, E.M. (2019). Accounting for the shared environment in cognitive abilities and academic achievement with measured socioecological contexts. Developmental Science, 22, e12699.
      Figueiredo, V.L.M., Pinheiro, S., & do Nascimento, E. (1998). Teste de inteligência WISC-III adaptando para a população brasileira. Psicologia Escolar e Educacional, 2, 101-107.
      Goodman, R., Ford, T., Richards, H., Gatward, R., & Meltzer, H. (2000). The development and well-being assessment: Description and initial validation of an integrated assessment of child and adolescent psychopathology. Journal of Child Psychology and Psychiatry, 41, 645-655.
      Harold, G.T., Leve, L.D., Elam, K.K., Thapar, A., Neiderhiser, J.M., Natsuaki, M.N., … & Reiss, D. (2013). The nature of nurture: Disentangling passive genotype-environment correlation from family relationship influences on children's externalizing problems. Journal of Family Psychology, 27, 12-21.
      Jami, E.S., Eilertsen, E.M., Hammerschlag, A.R., Qiao, Z., Evans, D.M., Ystrøm, E., … & Middeldorp, C.M. (2020). Maternal and paternal effects on offspring internalizing problems: Results from genetic and family-based analyses. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics, 183, 258-267.
      Kendler, K.S. (2001). Twin studies of psychiatric illness: An update. Archives of General Psychiatry, 58, 1005-1014.
      Kendler, K.S., Ohlsson, H., Sundquist, J., Sundquist, K., & Edwards, A.C. (2020). The sources of parent-child transmission of risk for suicide attempt and deaths by suicide in Swedish National Samples. The American Journal of Psychiatry, 177, 928-935.
      Kendler, K.S., Prescott, C.A., Myers, J., & Neale, M.C. (2003). The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Archives of General Psychiatry, 60, 929-937.
      Kong, A., Thorleifsson, G., Frigge, M.L., Vilhjalmsson, B.J., Young, A.I., Thorgeirsson, T.E., … & Stefansson, K. (2018). The nature of nurture: Effects of parental genotypes. Science, 359, 424-428.
      Konings, M., Bak, M., Hanssen, M., van Os, J., & Krabbendam, L. (2006). Validity and reliability of the CAPE: A self-report instrument for the measurement of psychotic experiences in the general population. Acta Psychiatrica Scandinavica, 114, 55-61.
      Lawlor, D., Richmond, R., Warrington, N., McMahon, G., Davey Smith, G., Bowden, J., & Evans, D.M. (2017). Using Mendelian randomization to determine causal effects of maternal pregnancy (intrauterine) exposures on offspring outcomes: Sources of bias and methods for assessing them. Wellcome Open Research, 2, 11.
      Lee, J.J., Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., … & Cesarini, D. (2018). Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50, 1112-1121.
      Little, R.J.A., & Rubin, D.B. (2002). Statistical analysis with missing data. Hoboken, NJ: John Wiley & Sons.
      Martel, M.M., Pan, P.M., Hoffmann, M.S., Gadelha, A., do Rosário, M.C., Mari, J.J., … & Salum, G.A. (2017). A general psychopathology factor (P factor) in children: Structural model analysis and external validation through familial risk and child global executive function. Journal of Abnormal Psychology, 126, 137-148.
      Masten, A.S., & Cicchetti, D. (2010). Developmental cascades. Development and Psychopathology, 22, 491-495.
      Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S.M., … & Young, A.I. (2022). Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals. Nature Genetics, 54, 437-449.
      Pausova, Z., Paus, T., Abrahamowicz, M., Almerigi, J., Arbour, N., Bernard, M., … & Watkins, K. (2007). Genes, maternal smoking, and the offspring brain and body during adolescence: Design of the Saguenay Youth Study. Human Brain Mapping, 28, 502-518.
      Pausova, Z., Paus, T., Abrahamowicz, M., Bernard, M., Gaudet, D., Leonard, G., … & Veillette, S. (2017). Cohort profile: The Saguenay Youth Study (SYS). International Journal of Epidemiology, 46, e19.
      Polderman, T.J.C., Benyamin, B., de Leeuw, C.A., Sullivan, P.F., van Bochoven, A., Visscher, P.M., & Posthuma, D. (2015). Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics, 47, 702-709.
      Rice, F., Harold, G.T., Boivin, J., Hay, D.F., van den Bree, M., & Thapar, A. (2009). Disentangling prenatal and inherited influences in humans with an experimental design. Proceedings of the National Academy of Sciences of the United States of America, 106, 2464-2467.
      Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48, 1-36.
      Rutter, M., Moffitt, T.E., & Caspi, A. (2006). Gene-environment interplay and psychopathology: Multiple varieties but real effects. Journal of Child Psychology and Psychiatry, 47, 226-261.
      Salum, G.A., Gadelha, A., Pan, P.M., Moriyama, T.S., Graeff-Martins, A.S., Tamanaha, A.C., … & Rohde, L.A. (2015). High risk cohort study for psychiatric disorders in childhood: Rationale, design, methods and preliminary results. International Journal of Methods in Psychiatric Research, 24, 58-73.
      Sikora, J., Evans, M.D.R., & Kelley, J. (2019). Scholarly culture: How books in adolescence enhance adult literacy, numeracy and technology skills in 31 societies. Social Science Research, 77, 1-15.
      Silventoinen, K., Jelenkovic, A., Sund, R., Latvala, A., Honda, C., Inui, F., … & Kaprio, J. (2020). Genetic and environmental variation in educational attainment: An individual-based analysis of 28 twin cohorts. Scientific Reports, 10, 1-11.
      Stein, L. M. (n.d.). TDE - Teste de desempenho escolar.
      Tellegen, A., & Briggs, P.F. (1967). Old wine in new skins: Grouping Wechsler subtests into new scales. Journal of Consulting Psychology, 31, 499-506.
      Trubetskoy, V., Pardiñas, A.F., Qi, T., Panagiotaropoulou, G., Awasthi, S., Bigdeli, T.B., … & van Os, J. (2022). Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature, 604, 502-508.
      Tubbs, J.D., Porsch, R.M., Cherny, S.S., & Sham, P.C. (2020). The genes we inherit and those we don't: Maternal genetic nurture and child BMI trajectories. Behavior Genetics, 50, 310-319.
      van Bergen, E., van Zuijen, T., Bishop, D., & de Jong, P.F. (2017). Why are home literacy environment and children's reading skills associated? What parental skills reveal. Reading Research Quarterly, 52, 147-160.
      Wang, B., Baldwin, J.R., Schoeler, T., Cheesman, R., Barkhuizen, W., Dudbridge, F., … & Pingault, J.-B. (2021). Genetic nurture effects on education: A systematic review and meta-analysis. bioRxiv. doi: 10.1101/2021.01.15.426782.
      Wechsler, D. (1991). WISC-III: Wechsler intelligence scale for children: Manual.
      Weissman, M.M., Wickramaratne, P., Adams, P., Wolk, S., Verdeli, H., & Olfson, M. (2000). Brief screening for family psychiatric history: The family history screen. Archives of General Psychiatry, 57, 675-682.
      Wertz, J., Moffitt, T.E., Agnew-Blais, J., Arseneault, L., Belsky, D.W., Corcoran, D.L., … & Caspi, A. (2018). Using DNA from mothers and children to study parental investment in children's educational attainment. Child Development, 91, 1745-1761.
      Yengo, L., Robinson, M.R., Keller, M.C., Kemper, K.E., Yang, Y., Trzaskowski, M., … & Visscher, P.M. (2018). Imprint of assortative mating on the human genome. Nature Human Behaviour, 2, 948-954.
    • Grant Information:
      R01MH120482 US National Institute of Mental Health
    • Contributed Indexing:
      Keywords: Genetics; cognition; educational attainment; gene-environment correlation; intergenerational transmission; polygenic scores
    • الموضوع:
      Date Created: 20220926 Date Completed: 20230206 Latest Revision: 20230401
    • الموضوع:
      20240105
    • الرقم المعرف:
      10.1111/jcpp.13708
    • الرقم المعرف:
      36162806