Cited by 105Bullying, Victimization, and AggressionGenetic Associations and EpidemiologyWorkplace Violence and Bullying

Multi-polygenic score approach to identifying individual vulnerabilities associated with the risk of exposure to bullying

Open access
Schoeler, Tabea, Choi, Shing Wan, Dudbridge, Frank, Baldwin, Jessie, Duncan, Lauren, Cecil, Charlotte M., Walton, Esther, Viding, Essi +2 more·2019·JAMA Psychiatry

Abstract

Importance: Exposure to bullying is a prevalent experience with adverse consequences throughout the life span. Individual vulnerabilities and traits, such as preexisting mental health problems, may be associated with increased likelihood of experiencing bullying. Identifying such individual vulnerabilities and traits is essential for a better understanding of the etiology of exposure to bullying and for tailoring effective prevention. Objective: To identify individual vulnerabilities and traits associated with exposure to bullying in childhood and adolescence. Design, Setting, and Participants: For this study, data were drawn from the Avon Longitudinal Study of Parents and Children (ALSPAC), a population-based birth cohort study. The initial ALSPAC sample consisted of 14 062 children born to women residing in Avon, United Kingdom, with an expected date of delivery between April 1, 1991, and December 31, 1992. Collection of the ALSPAC data began in September 6, 1990, and the last follow-up assessment of exposure to bullying was conducted when participants were 13 years of age. Data analysis was conducted from November 1, 2017, to January 1, 2019. Exposures: The polygenic score approach was used to derive genetic proxies that indexed vulnerabilities and traits. A total of 35 polygenic scores were computed for a range of mental health vulnerabilities (eg, depression) and traits related to cognition (eg, intelligence), personality (eg, neuroticism), and physical measures (eg, body mass index), as well as negative controls (eg, osteoporosis). Main Outcomes and Measures: Single and multi-polygenic score regression models were fitted to test the association between indexed traits and exposure to bullying. Children completed the Bullying and Friendship Interview Schedule at the ages of 8, 10, and 13 years. A mean score of exposure to bullying across ages was used as the main outcome. Results: A total of 5028 genotyped individuals (2481 boys and 2547 girls) with data on exposure to bullying were included. Among the 35 initially included polygenic scores, 11 were independently associated with exposure to bullying; no significant association was detected for the 24 remaining scores. In multivariable analyses, 5 polygenic scores were associated with exposure to bullying; the largest associations were present for genetic risk relating to mental health vulnerabilities, including diagnosis of depression (standardized b = 0.065; 95% CI, 0.035-0.095) and attention-deficit/hyperactivity disorder (standardized b = 0.063; 95% CI, 0.035-0.091), followed by risk taking (standardized b = 0.041; 95% CI, 0.013-0.069), body mass index (standardized b = 0.036; 95% CI, 0.008-0.064), and intelligence (standardized b = -0.031; 95% CI, -0.059 to 0.003). Conclusion and Relevance: Using the multi-polygenic score approach, the findings implicate preexisting mental health vulnerabilities as risk factors for exposure to bullying. A mechanistic understanding of how these vulnerabilities link to exposure of bullying is important to inform prevention strategies.

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  • Neuroticism or negative affectivity is associated with an increased probability of experiencing stressful life events and of subsequently responding to these events with depression.

    “For example, the construct of neuroticism or negative affectivity has been shown to be associated with an increased probability of experiencing stressful life events and of subsequently responding to these events with depression. 268”

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  1. Gaffney H, Ttofi MM, Farrington DP. Evaluating the effectiveness of school-bullying prevention programs: an updated meta-analytical review [published online July 20, 2018]. Aggress Violent Behav.

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Authors
Schoeler, T., Choi, S. W., Dudbridge, F., Baldwin, J., Duncan, L., Cecil, C. M., Walton, E., Viding, E., McCrory, E., & Pingault, J.-B.
Affiliations
  • University College London (GB)
  • King's College London (GB)
  • University of Leicester (GB)
  • Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
  • University of Bristol (GB)
Corresponding author
Pingault, Jean-Baptiste
Venue
JAMA Psychiatry
Published
2019-07-01
Volume
76
Issue
7
Pages
730
ISSN
2168-622X (ISSN-L)
OpenAlex
W2933765223
Cited by
105
References
52
Citations by year
2026: 10 · 2025: 9 · 2024: 14 · 2023: 19 · 2022: 21 · 2021: 16 · 2020: 11 · 2019: 5
FWCI
16.65
Type
journal article
Language
en
Open access
Locations
  • JAMA Psychiatry (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Explore Bristol Research (submittedVersion, other-oa)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • Leicester Research Archive (University of Leicester) (submittedVersion, other-oa)
  • Bristol Research (University of Bristol) (submittedVersion, other-oa)
Funders
  • Wellcome Trust (215917/Z/19/Z, 217065/Z/19/Z)
  • MQ: Transforming Mental Health (MQ16IP16)
  • Medical Research Council (MR/N015746/1, MC_PC_15018, MC_PC_19009)
  • Economic and Social Research Council (ES/N001273/1)
Topics
  • Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Social Sciences › Sociology and Political Science › Workplace Violence and Bullying
Keywords
bullying victimization, polygenic risk score, individual susceptibility, childhood bullying, adolescent bullying, depression, neuroticism, intelligence, body mass index, genetic risk, mental health, personality traits, bullying prevention, Avon Longitudinal Study of Parents and Children, birth cohort, negative control, osteoporosis, body height, body weight, body fat percentage
MeSH terms
Adolescent, Child, Depression, Female, Humans, Intelligence, Male, Personality, Risk Factors, Crime Victims, Genetic Association Studies, Bullying

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