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Multi-Polygenic Score Approach to Identifying Individual Vulnerabilities Associated With the Risk of Exposure to Bullying

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Multi-Polygenic Score Approach to Identifying Individual Vulnerabilities Associated With the Risk of Exposure to Bullying. / Schoeler, Tabea; Choi, Shing Wan; Dudbridge, Frank; Baldwin, Jessie; Duncan, Lauren; Cecil, Charlotte M; Walton, Esther; Viding, Essi; McCrory, Eamon; Pingault, Jean-Baptiste.

In: JAMA Psychiatry, Vol. 76, No. 7, 01.07.2019, p. 730-738.

Research output: Contribution to journalArticle

Harvard

Schoeler, T, Choi, SW, Dudbridge, F, Baldwin, J, Duncan, L, Cecil, CM, Walton, E, Viding, E, McCrory, E & Pingault, J-B 2019, 'Multi-Polygenic Score Approach to Identifying Individual Vulnerabilities Associated With the Risk of Exposure to Bullying', JAMA Psychiatry, vol. 76, no. 7, pp. 730-738. https://doi.org/10.1001/jamapsychiatry.2019.0310

APA

Schoeler, T., Choi, S. W., Dudbridge, F., Baldwin, J., Duncan, L., Cecil, C. M., ... Pingault, J-B. (2019). Multi-Polygenic Score Approach to Identifying Individual Vulnerabilities Associated With the Risk of Exposure to Bullying. JAMA Psychiatry, 76(7), 730-738. https://doi.org/10.1001/jamapsychiatry.2019.0310

Vancouver

Schoeler T, Choi SW, Dudbridge F, Baldwin J, Duncan L, Cecil CM et al. Multi-Polygenic Score Approach to Identifying Individual Vulnerabilities Associated With the Risk of Exposure to Bullying. JAMA Psychiatry. 2019 Jul 1;76(7):730-738. https://doi.org/10.1001/jamapsychiatry.2019.0310

Author

Schoeler, Tabea ; Choi, Shing Wan ; Dudbridge, Frank ; Baldwin, Jessie ; Duncan, Lauren ; Cecil, Charlotte M ; Walton, Esther ; Viding, Essi ; McCrory, Eamon ; Pingault, Jean-Baptiste. / Multi-Polygenic Score Approach to Identifying Individual Vulnerabilities Associated With the Risk of Exposure to Bullying. In: JAMA Psychiatry. 2019 ; Vol. 76, No. 7. pp. 730-738.

Bibtex

@article{baa65cc833b8460695a2b215fbe935e2,
title = "Multi-Polygenic Score Approach to Identifying Individual Vulnerabilities Associated With the Risk of Exposure to Bullying",
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.",
author = "Tabea Schoeler and Choi, {Shing Wan} and Frank Dudbridge and Jessie Baldwin and Lauren Duncan and Cecil, {Charlotte M} and Esther Walton and Essi Viding and Eamon McCrory and Jean-Baptiste Pingault",
year = "2019",
month = "7",
day = "1",
doi = "10.1001/jamapsychiatry.2019.0310",
language = "English",
volume = "76",
pages = "730--738",
journal = "JAMA Psychiatry",
issn = "2168-622X",
publisher = "American Medical Association",
number = "7",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Multi-Polygenic Score Approach to Identifying Individual Vulnerabilities Associated With the Risk of Exposure to Bullying

AU - Schoeler, Tabea

AU - Choi, Shing Wan

AU - Dudbridge, Frank

AU - Baldwin, Jessie

AU - Duncan, Lauren

AU - Cecil, Charlotte M

AU - Walton, Esther

AU - Viding, Essi

AU - McCrory, Eamon

AU - Pingault, Jean-Baptiste

PY - 2019/7/1

Y1 - 2019/7/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85064010255&partnerID=8YFLogxK

U2 - 10.1001/jamapsychiatry.2019.0310

DO - 10.1001/jamapsychiatry.2019.0310

M3 - Article

VL - 76

SP - 730

EP - 738

JO - JAMA Psychiatry

JF - JAMA Psychiatry

SN - 2168-622X

IS - 7

ER -