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Gene – maltreatment interplay in adult ADHD symptoms: main role of a gene–environment correlation effect in a Brazilian population longitudinal study

Abstract

Childhood maltreatment correlates with attention-deficit/hyperactivity disorder (ADHD) in previous research. The interaction between ADHD genetic predisposition and maltreatment’s impact on ADHD symptom risk remains unclear. We aimed to elucidate this relationship by examining the interplay between a polygenic score for ADHD (ADHD-PGS) and childhood maltreatment in predicting ADHD symptoms during young adulthood. Using data from the 2004 Pelotas (Brazil) birth cohort comprising 4231 participants, we analyzed gene-environment interaction (GxE) and correlation (rGE). We further explored rGE mechanisms through mediation models. ADHD symptoms were assessed at age 18 via self-report (Adult Self Report Scale - ASRS) and mother-reports (Strength and Difficulties Questionnaire - SDQ). The ADHD-PGS was derived from published ADHD GWAS meta-analysis. Physical and psychological child maltreatment was gauged using the Parent-Child Conflict Tactics Scale (CTSPC) at ages 6 and 11, with a mean score utilized as a variable. The ADHD-PGS exhibited associations with ADHD symptoms on both ASRS (β = 0.53; 95% CI: 0.03; 1.03, p = 0.036), and SDQ (β = 0.20; 95% CI: 0.08; 0.32, p = 0.001) scales. The total mean maltreatment score was associated with ADHD symptoms using both scales [(βASRS = 0.51; 95% CI: 0.26;0.77) and (βSDQ = 0.24; 95% CI: 0.18;0.29)]. The ADHD-PGS was associated with total mean maltreatment scores (β = 0.09; 95% CI: 0.01; 0.17; p = 0.030). Approximately 47% of the total effect of ADHD-PGS on maltreatment was mediated by ADHD symptoms at age 6. No evidence supported gene-environment interaction in predicting ADHD symptoms. Our findings underscore the significant roles of genetics and childhood maltreatment as predictors for ADHD symptoms in adulthood, while also indicating a potential evocative mechanism through gene-environment correlation.

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References

  1. Haukvik UK, Saetre P, McNeil T, Bjerkan PS, Andreassen OA, Werge T, et al. An exploratory model for G× E interaction on hippocampal volume in schizophrenia; obstetric complications and hypoxia-related genes. Prog Neuropsychopharmacol Biol Psychiatry. 2010;34:1259–65.

    Article  CAS  PubMed  Google Scholar 

  2. Cattaneo A, Cattane N, Malpighi C, Czamara D, Suarez A, Mariani N, et al. FoxO1, A2M, and TGF-β1: three novel genes predicting depression in gene X environment interactions are identified using cross-species and cross-tissues transcriptomic and miRNomic analyses. Mol Psychiatry. 2018;23:2192–208.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Nestor PG, O’Donovan K, Lapp HE, Hasler VC, Boodai SB, Hunter R. Risk and protective effects of serotonin and BDNF genes on stress-related adult psychiatric symptoms. Neurobiol Stress. 2019;11:100186.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Hadianfard H. Child abuse in group of children with attention deficit-hyperactivity disorder in comparison with normal children. Int J Commun Based Nurs Midwifery. 2014;2:77–84.

    Google Scholar 

  5. Gokten ES, Duman NS, Soylu N, Uzun ME. Effects of attention-deficit/hyperactivity disorder on child abuse and neglect. Child Abuse Negl. 2016;62:1–9.

    Article  Google Scholar 

  6. Sanderud K, Murphy S, Elklit A. Child maltreatment and ADHD symptoms in a sample of young adults. Eur J Psychotraumatol. 2016;7:32061.

    Article  PubMed  Google Scholar 

  7. Faraone SV, Larsson H. Genetics of attention deficit hyperactivity disorder. Mol Psychiatry. 2019;24:562–75.

    Article  CAS  PubMed  Google Scholar 

  8. Stoltenborgh M, Bakermans-Kranenburg MJ, Alink LRA, van IJzendoorn MH. The prevalence of child maltreatment across the globe: review of a series of meta-analyses. Child Abuse Rev. 2015;24:37–50.

    Article  Google Scholar 

  9. Gilbert R, Widom CS, Browne K, Fergusson D, Webb E, Janson S. Burden and consequences of child maltreatment in high-income countries. Lancet. 2009;373:68–81.

    Article  PubMed  Google Scholar 

  10. WHO. 2017. Violence Info: child maltreatment.

  11. UNICEF. Children in danger: act to end violence against children. 69 United Nations Children’s Fund. London: UNICEF; 2014. http://www.unicef.org/

  12. Le MT, Holton S, Romero L, Fisher J. Polyvictimization among children and adolescents in low-and lower-middle-income countries: A systematic review and meta-analysis. Trauma Violence Abuse. 2018;19:323–42.

    Article  PubMed  Google Scholar 

  13. Biederman J, Faraone SV. Attention-deficit hyperactivity disorder. Lancet. 2005;366:237–48.

    Article  PubMed  Google Scholar 

  14. Benczik EBP, Casella EB. Compreendendo o impacto do TDAH na dinâmica familiar e as possibilidades de intervenção. Rev Psicopedagogia. 2015;32:93–103.

    Google Scholar 

  15. Bali P, Sonuga‐Barke E, Mohr‐Jensen C, Demontis D, Minnis H. Is there evidence of a causal link between childhood maltreatment and attention deficit/hyperactivity disorder? A systematic review of prospective longitudinal studies using the Bradford‐Hill criteria. JCPP Adv. 2023;e12169:1–10.

    Google Scholar 

  16. Claussen AH, Holbrook JR, Hutchins HJ, Robinson LR, Bloomfield J, Meng L, et al. All in the family? A systematic review and meta-analysis of parenting and family environment as risk factors for attention-deficit/hyperactivity disorder (ADHD) in children. Prev Sci. 2022. https://doi.org/10.1007/s11121-22-0358-4.

  17. González RA, Vélez-Pastrana MC, McCrory E, Kallis C, Aguila J, Canino G, et al. Evidence of concurrent and prospective associations between early maltreatment and ADHD through childhood and adolescence. Soc Psychiatry Psychiatr Epidemiol. 2019;54:671–82.

    Article  PubMed  Google Scholar 

  18. Briscoe-Smith AM, Hinshaw SP. Linkages between child abuse and attention-deficit/hyperactivity disorder in girls: Behavioral and social correlates. Child Abuse Neglect. 2006;30:1239–55.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Freitag CM, Rohde LA, Lempp T, Romanos M. Phenotypic and measurement influences on heritability estimates in childhood ADHD. Eur Child Adolesc Psychiatry. 2010;19:311–23.

    Article  PubMed  Google Scholar 

  20. Bienvenu OJ, Davydow DS, Kendler KS. Psychiatric ‘diseases’ versus behavioral disorders and degree of genetic influence. Psychol Med. 2011;41:33–40.

    Article  CAS  PubMed  Google Scholar 

  21. Thapar A, Cooper M, Eyre O, Langley K. Practitioner review: what have we learnt about the causes of ADHD? J Child Psychol Psychiatry. 2013;54:3–16.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Demontis D, Walters GB, Athanasiadis G, Walters R, Therrien K, Farajzadeh L, et al. Genome-wide analyses of ADHD identify 27 risk loci, refine the genetic architecture and implicate several cognitive domains. Net Genet. 2023;55:198–208.

    Article  CAS  Google Scholar 

  23. Purcell SM, Wray NR, Stone JL, Visscher PM, O’Donovan MC, Sullivan PF, et al. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature. 2009;460:748–52.

    Article  CAS  PubMed  Google Scholar 

  24. Dudbridge F. Power and predictive accuracy of polygenic risk scores. PLoS Genet. 2013;9:e1003348.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Stergiakouli E, Hamshere M, Holmans P, Langley K, Zaharieva I, deCODE Genetics, et al. Investigating the contribution of common genetic variants to the risk and pathogenesis of ADHD. Am J Psychiatry. 2012;169:186–94.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Warrier V, Kwong AS, Luo M, Dalvie S, Croft J, Sallis HM, et al. Gene–environment correlations and causal effects of childhood maltreatment on physical and mental health: a genetically informed approach. Lancet Psychiatry. 2021;8:373–86.

    Article  PubMed  PubMed Central  Google Scholar 

  27. He Q, Li JJ. A gene-environment interaction study of polygenic scores and maltreatment on childhood ADHD. Res Child Adolesc Psychopathol. 2021;50:309–19.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Østergaard SD, Trabjerg BB, Als TD, Climent CA, Privé F, Vilhjálmsson BJ, et al. Polygenic risk score, psychosocial environment and the risk of attention-deficit/hyperactivity disorder. Transl Psychiatry. 2020;10:335.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Santos IS, Barros AJ, Matijasevich A, Zanini R, Cesar MAC, Camargo-Figuera FA, et al. Cohort profile update: 2004 Pelotas (Brazil) Birth Cohort Study. Body composition, mental health and genetic assessment at the 6 years follow-up. Int J Epidemiol. 2014;43:1437–1437a-f.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Kessler RC, Adler L, Ames M, Demler O, Faraone S, Hiripi EVA, et al. The World Health Organization Adult ADHD Self-Report Scale (ASRS): a short screening scale for use in the general population. Psychol Med. 2005;35:245–56.

    Article  PubMed  Google Scholar 

  31. American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5. Washington, DC: American Psychiatric Association. 2013

  32. Van de Glind G, van den Brink W, Koeter MW, Carpentier PJ, van Emmerik-van Oortmerssen K, Kaye S, et al. Validity of the Adult ADHD Self-Report Scale (ASRS) as a screener for adult ADHD in treatment seeking substance use disorder patients. Drug Alcohol Depend. 2013;132:587–96.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Adler LA, Spencer T, Faraone SV, Kessler RC, Howes MJ, Biederman J, et al. Validity of pilot Adult ADHD Self-Report Scale (ASRS) to rate adult ADHD symptoms. Ann Clin Psychiatry. 2006;18:145–8.

    Article  PubMed  Google Scholar 

  34. Mattos P, Segenreich D, Saboya E, Louzã M, Dias G, Romano M. Adaptação transcultural para o português da escala Adult Self-Report Scale para avaliação do transtorno de déficit de atenção/hiperatividade (TDAH) em adultos. Arch Clin Psychiatry. 2006;33:188–94.

    Article  Google Scholar 

  35. Goodman R. Psychometric properties of the strengths and difficulties questionnaire. J Am Acad Child Adolesc Psychiatry. 2001;40:1337–45.

    Article  CAS  PubMed  Google Scholar 

  36. Fleitlich-Bilyk B, Goodman R. Prevalence of child and adolescent psychiatric disorders in southeast Brazil. J Am Acad Child Adolesc Psychiatry. 2004;43:727–34.

    Article  PubMed  Google Scholar 

  37. The 1000 Genomes Project Consortium, Abecasis GR, Auton A, Brooks LD, DePristo MA, Durbin RM, et al. An integrated map of genetic variation from 1,092 human genomes. Nature. 2012;491:56–65.

    Article  PubMed Central  Google Scholar 

  38. O’Connell J, Gurdasani D, Delaneau O, Pirastu N, Ulivi S, Cocca M, et al. A general approach for haplotype phasing across the full spectrum of relatedness. PLoS Genet. 2014;10:e1004234.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Delaneau O, Zagury JF, Marchini J. Improved whole-chromosome phasing for disease and population genetic studies. Nat Methods. 2013;10:5–6.

    Article  CAS  PubMed  Google Scholar 

  40. Ni G, Zeng J, Revez JA, Wang Y, Zheng Z, Ge T, et al. A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts. Biol Psychiatry. 2021;90:611–20.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Euesden J, Lewis CM, O’reilly PF. PRSice: polygenic risk score software. Bioinformatics. 2015;31:1466–8.

    Article  CAS  PubMed  Google Scholar 

  42. Choi SW, O’Reilly PF. PRSice-2: Polygenic Risk Score software for biobank-scale data. Gigascience. 2019;8:giz082.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Straus MA, Hamby SL, Finkelhor D, Moore DW, Runyan D. Identification of child maltreatment with the Parent-Child Conflict Tactics Scales: development and psychometric data for a national sample of American parents. Child Abuse Negl. 1998;22:249–70.

    Article  CAS  PubMed  Google Scholar 

  44. Bonfim CB, Santos DN, Menezes IG, Reichenheim ME, Barreto ML. Um estudo sobre a validade de construto da Parent-Child Conflict Tactics Scale (CTSPC) em uma amostra populacional urbana do Nordeste brasileiro. Cad Saúde Pública. 2011;27:2215–26.

    Article  PubMed  Google Scholar 

  45. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81:559–75.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Instituto Brasileiro de Geografia e Estatística. Censo demográfico 2010. Rio de Janeiro: IBGE; 2010. Available on: http://www.censo2010.ibge.gov.br/.

  47. Barros AJD, Matijasevich A, Santos IS, Halpern R. Child development in a birth cohort: effect of child stimulation is stronger in less educated mothers. Int J Epidemiol. 2010;39:285–94.

    Article  PubMed  Google Scholar 

  48. Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression: development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry. 1987;150:782–6.

    Article  CAS  PubMed  Google Scholar 

  49. Santos IS, Matijasevich A, Tavares BF, Barros AJ, Botelho IP, Lapolli C, et al. Validation of the Edinburgh Postnatal Depression Scale (EPDS) in a sample of mothers from the 2004 Pelotas Birth Cohort Study. Cad Saude Publica. 2007;23:2577–88.

    Article  PubMed  Google Scholar 

  50. StataCorp. 2017. Stata Statistical Software: Release 15. College Station, TX: StataCorp LLC.

  51. Groen-Blokhuis MM, Middeldorp CM, Kan KJ, Abdellaoui A, Van Beijsterveldt CE, Ehli EA, et al. Attention-deficit/hyperactivity disorder polygenic risk scores predict attention problems in a population-based sample of children. J Am Acad Child Adolesc Psychiatry. 2012;53:1123–9.

    Article  Google Scholar 

  52. Li JJ. The positive end of the polygenic score distribution for ADHD: a low risk or a protective factor? Psychol Med. 2021;51:102–11.

    Article  CAS  PubMed  Google Scholar 

  53. Stern A, Agnew-Blais J, Danese A, Fisher HL, Jaffee SR, Matthews T, et al. Associations between abuse/neglect and ADHD from childhood to young adulthood: a prospective nationally-representative twin study. Child Abuse Negl. 2018;81:274–85.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Capusan AJ, Kuja-Halkola R, Bendtsen P, Viding E, McCrory E, Marteinsdottir I, et al. Childhood maltreatment and attention deficit hyperactivity disorder symptoms in adults: a large twin study. Psychol Med. 2016;46:2637–46.

    Article  CAS  PubMed  Google Scholar 

  55. Scomparini LB, dos Santos B, Rosenheck RA, Scivoletto S. Association of child maltreatment and psychiatric diagnosis in Brazilian children and adolescents. Clinics. 2013;68:1096–102.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Caye A, Agnew-Blais J, Arseneault L, Gonçalves H, Kieling C, Langley K, et al. A risk calculator to predict adult attention-deficit/hyperactivity disorder: generation and external validation in three birth cohorts and one clinical sample. Epidemiol Psychiatr Sci. 2019;29:e37.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Agnew‐Blais JC, Wertz J, Arseneault L, Belsky DW, Danese A, Pingault JB, et al. Mother’s and children’s ADHD genetic risk, household chaos and children’s ADHD symptoms: a gene–environment correlation study. J Child Psychol Psychiatry. 2022;63:1153–63.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Nguyen PT, Gordon CT, Owens EB & Hinshaw SP. Patterns of childhood adversity among women with and without childhood ADHD: links to adult psychopathology and global functioning. Res Child Adolesc Psychopathol. 2022;1–13.

  59. Avinun R, Knafo A. Parenting as a reaction evoked by children’s genotype: a meta-analysis of children-as-twins studies. Pers Soc Psychol Rev. 2014;18:87–102.

    Article  PubMed  Google Scholar 

  60. Harold GT, Leve LD, Barrett D, Elam K, Neiderhiser JM, Natsuaki MN, et al. Biological and rearing mother influences on child ADHD symptoms: Revisiting the developmental interface between nature and nurture. J Child Psychol Psychiatry. 2013;54:1038–46.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Sellers R, Harold GT, Smith AF, Neiderhiser JM, Reiss D, Shaw D, et al. Disentangling nature from nurture in examining the interplay between parent–child relationships, ADHD, and early academic attainment. Psychol Med. 2021;51:645–52.

    Article  CAS  PubMed  Google Scholar 

  62. de La Paz L, Mooney MA, Ryabinin P, Neighbor C, Antovich D, Nigg JT, et al. Youth polygenic scores, youth ADHD symptoms, and parenting dimensions: an evocative gene-environment correlation study. Res Child Adolesc Psychopathol. 2023;51:665–77.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Martin J, Hamshere ML, Stergiakouli E, O’Donovan MC, Thapar A. Neurocognitive abilities in the general population and composite genetic risk scores for attention‐deficit hyperactivity disorder. J Child Psychol Psychiatry. 2015;56:648–56.

    Article  PubMed  Google Scholar 

  64. Verhoef E, Demontis D, Burgess S, Shapland CY, Dale PS, Okbay A, et al. Disentangling polygenic associations between attention-deficit/hyperactivity disorder, educational attainment, literacy and language. Transl Psychiatry. 2019;9:35.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Ajnakina O, Shamsutdinova D, Wimberley T, Dalsgaard S, Steptoe A. High polygenic predisposition for ADHD and a greater risk of all-cause mortality: a large population-based longitudinal study. BMC Med. 2022;20:1–10.

    Article  Google Scholar 

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Acknowledgements

We thank the 2004 Pelotas Birth cohort participants and their mothers for their participation in the study. This article is based on data from the study “Pelotas Birth Cohort, 2004” conducted by Postgraduate Program in Epidemiology at Universidade Federal de Pelotas, with the collaboration of the Brazilian Public Health Association (ABRASCO). The World Health Organization, National Support Program for Centers of Excellence (PRONEX), Brazilian National Research Council (CNPq), Brazilian Ministry of Health, and Children’s Pastorate supported previous phases of the study. The 11-year follow-up was supported by the Department of Science and Technology (DECIT) of the Brazilian Ministry of Health, CNPq and the Research Support Foundation of the State of São Paulo (FAPESP, grant no 2014/13864-6). The 15-year follow-up was funded by DECIT, CNPq, the Research Support Foundation of the State of Rio Grande do Sul (FAPERGS grant no 21/2551-0002002-4), FAPESP (grant no 2020/07730-8), and the L’Oréal-Unesco-ABC Program for Women in Science in Brazil-2020. The 18-year follow-up was supported by DECIT, CNPq, FAPERGS, L’Oréal-Unesco-ABC Program for Women in Science in Brazil-2020, and by the All for Health Institute. The present research was funded by CNPq (grant no 409224/2021-9). CNPq supports LTR (grant number 308319/2021-4), ISS (303042/2018-4), LAR (308294/2018-1), MHH (305492/2018-7), CB (314661/2021-2), CSP, JM, (306904/2020-9), AJDB and AM (312746/2021-0). LC is a recipient of a CNPq technical support grant (grant number 370504/2023-2).

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LT-R designed the study, collected the data, performed statistical analysis, interpreted the results, and prepared the manuscript. LC performed statistical analysis, interpreted the results, and prepared the manuscript. TM-S also conducted statistical analysis, interpreted results, and contributed to manuscript preparation. MXC collected data, conducted statistical analysis, interpreted results, and contributed to manuscript preparation. CB participated in data interpretation and manuscript writing. IOO contributed to data collection and critically reviewed the manuscript. CSP, JM, and MHH critically reviewed the manuscript. AJDB, ISS, and LAR participated in study conception and design, data collection, and critical manuscript review. JPG participated in study conception and design, data interpretation, manuscript writing, and critical manuscript review. AM contributed to study conception and design, data collection, supervision, manuscript preparation, and critical manuscript review. All authors approved the final version of the manuscript.

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Correspondence to Luciana Tovo-Rodrigues.

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LAR has received grant or research support from, served as a consultant to, and served on the speakers’ bureau of Abdi-Ibrahim, Abbott, Aché, Adium, Aspen, Bial, Medice, Novartis/Sandoz, Pfizer/Upjohn, and Shire/Takeda in the last three years. The ADHD and Juvenile Bipolar Disorder Outpatient Programs chaired by LAR have received unrestricted educational and research support from the following pharmaceutical companies in the last three years: Novartis/Sandoz and Shire/Takeda. LAR has received authorship royalties from Oxford Press and ArtMed. The other authors declare that they have no conflict of interest.

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Supplementary information

41380_2024_2589_MOESM1_ESM.docx

Supplementary Table 1. Adjusted linear regression model presenting the relationship of ADHD genetic susceptibility (ADHD-PGS) with self-reported and mother-reported ADHD symptoms at age 18.

41380_2024_2589_MOESM2_ESM.jpg

Supplementary Figure 1. Interaction graphs of the childhood maltreatment moderator effects for the association between ADHD-PGS and self-reported ADHD score (ASRS) at age 18. 2004 Pelotas Birth Cohort

41380_2024_2589_MOESM3_ESM.jpg

Supplementary Figure 2. Interaction graphs of the childhood maltreatment moderator effects for the association between ADHD-PGS and mother-reported ADHD score (SDQ) at age 18. 2004 Pelotas Birth Cohor

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Tovo-Rodrigues, L., Camerini, L., Martins-Silva, T. et al. Gene – maltreatment interplay in adult ADHD symptoms: main role of a gene–environment correlation effect in a Brazilian population longitudinal study. Mol Psychiatry (2024). https://doi.org/10.1038/s41380-024-02589-3

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