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Tabea Schoeler

Biographic Data

ID1660464
NAMETabea Schoeler
GIVEN NAMESTabea
FAMILY NAMESchoeler
SIGNATURESCHOELER T
AFFILIATIONSUniversity College London
ORCID0000-0003-4846-2741
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS44
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX2
  • The role of comorbid childhood mental health and neurodevelopmental conditions in the persistence of ADHD symptoms

    Open Access•Yuan You, Tom A Mcadams et al.•ARTICLE•Journal of Child Psychology and…•2026

    Background Children diagnosed with ADHD and other comorbid mental health conditions often exhibit more severe functional impairments than those without comorbid conditions, including a tendency for their ADHD symptoms to persist into later developmental stages. We conducted a systematic review and quantitative analysis to investigate the extent to which specific childhood comorbidities (internalizing, externalizing and neurodevelopmental conditio…

  • The impact of self-report inaccuracy in the UK Biobank and its interplay with selective participation

    Open Access•Tabea Schoeler, Jean-Baptiste Pingault et al.•ARTICLE•Nature Human Behaviour•2024•References: 42

    Although the use of short self-report measures is common practice in biobank initiatives, such a phenotyping strategy is inherently prone to reporting errors. To explore challenges related to self-report errors, we first derived a reporting error score in the UK Biobank (UKBB; n = 73,127), capturing inconsistent self-reporting in time-invariant phenotypes across multiple measurement occasions. We then performed genome-wide scans on the reporting …

  • Participation bias in the UK Biobank distorts genetic associations and downstream analyses

    Open Access•Tabea Schoeler, Doug Speed et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 6•References: 44

    While volunteer-based studies such as the UK Biobank have become the cornerstone of genetic epidemiology, the participating individuals are rarely representative of their target population. To evaluate the impact of selective participation, here we derived UK Biobank participation probabilities on the basis of 14 variables harmonized across the UK Biobank and a representative sample. We then conducted weighted genome-wide association analyses on …

  • A genetically informed Registered Report on adverse childhood experiences and mental health

    Open Access•Jessie R Baldwin, Hannah M Sallis et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 2•References: 111

    Children who experience adversities have an elevated risk of mental health problems. However, the extent to which adverse childhood experiences (ACEs) cause mental health problems remains unclear, as previous associations may partly reflect genetic confounding. In this Registered Report, we used DNA from 11,407 children from the United Kingdom and the United States to investigate gene–environment correlations and genetic confounding of the associ…

  • Combining multivariate genomic approaches to elucidate the comorbidity between autism spectrum disorder and attention deficit hyperactivity disorder

    Open Access•Hugo Peyre, Tabea Schoeler et al.•ARTICLE•Journal of Child Psychology and…•2021

    BACKGROUND: Attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are two highly heritable neurodevelopmental disorders. Several lines of evidence point towards the presence of shared genetic factors underlying ASD and ADHD. We conducted genomic analyses of common risk variants (i.e. single nucleotide polymorphisms, SNPs) shared by ASD and ADHD, and those specific to each disorder. METHODS: With the summary data from …

  • Are there causal relationships between attention-deficit/hyperactivity disorder and body mass index? Evidence from multiple genetically informed designs

    Open Access•Chao-Yu Liu, Tabea Schoeler et al.•ARTICLE•International Journal of…•2020

    BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) and body mass index (BMI) are associated. However, it remains unclear whether this association reflects causal relationships in either direction or confounding. Here, we implemented genetically informed methods to examine bidirectional causality and potential confounding. METHODS: Three genetically informed methods were employed: (i) cross-lagged twin-differences analyses to assess bidir…

  • Quasi-experimental evidence on short- and long-term consequences of bullying victimization

    Open Access•Tabea Schoeler, Lauren Duncan et al.•ARTICLE•Psychological Bulletin•2018•Cited by: 36•References: 1

    Exposure to bullying victimization is associated with a wide-range of short and long-term adverse outcomes. However, the extent to which these associations reflect a causal influence of bullying victimization remains disputed. Here, we aimed to provide the most stringent evidence regarding the consequences of bullying victimization by meta-analyzing all relevant quasi-experimental (QE) studies. Multilevel random effects models and metaregression …

  • Assessing the consequences of cyberbullying on mental health

    Open Access•Jean-Baptiste Pingault, Tabea Schoeler•ARTICLE•Nature Human Behaviour•2017•References: 9

  • Quasi-experimental evidence on short- and long-term consequences of bullying victimization

    Open Access•Tabea Schoeler, Lauren Duncan et al.•ARTICLE•Psychological Bulletin•2018•Cited by: 36•References: 1

    Exposure to bullying victimization is associated with a wide-range of short and long-term adverse outcomes. However, the extent to which these associations reflect a causal influence of bullying victimization remains disputed. Here, we aimed to provide the most stringent evidence regarding the consequences of bullying victimization by meta-analyzing all relevant quasi-experimental (QE) studies. Multilevel random effects models and metaregression …

  • Participation bias in the UK Biobank distorts genetic associations and downstream analyses

    Open Access•Tabea Schoeler, Doug Speed et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 6•References: 44

    While volunteer-based studies such as the UK Biobank have become the cornerstone of genetic epidemiology, the participating individuals are rarely representative of their target population. To evaluate the impact of selective participation, here we derived UK Biobank participation probabilities on the basis of 14 variables harmonized across the UK Biobank and a representative sample. We then conducted weighted genome-wide association analyses on …

  • A genetically informed Registered Report on adverse childhood experiences and mental health

    Open Access•Jessie R Baldwin, Hannah M Sallis et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 2•References: 111

    Children who experience adversities have an elevated risk of mental health problems. However, the extent to which adverse childhood experiences (ACEs) cause mental health problems remains unclear, as previous associations may partly reflect genetic confounding. In this Registered Report, we used DNA from 11,407 children from the United Kingdom and the United States to investigate gene–environment correlations and genetic confounding of the associ…

  • Assessing the consequences of cyberbullying on mental health

    Open Access•Jean-Baptiste Pingault, Tabea Schoeler•ARTICLE•Nature Human Behaviour•2017•References: 9

  • Quasi-experimental evidence on short- and long-term consequences of bullying victimization

    Open Access•Tabea Schoeler, Lauren Duncan et al.•ARTICLE•Psychological Bulletin•2018•Cited by: 36•References: 1

    Exposure to bullying victimization is associated with a wide-range of short and long-term adverse outcomes. However, the extent to which these associations reflect a causal influence of bullying victimization remains disputed. Here, we aimed to provide the most stringent evidence regarding the consequences of bullying victimization by meta-analyzing all relevant quasi-experimental (QE) studies. Multilevel random effects models and metaregression …

  • Are there causal relationships between attention-deficit/hyperactivity disorder and body mass index? Evidence from multiple genetically informed designs

    Open Access•Chao-Yu Liu, Tabea Schoeler et al.•ARTICLE•International Journal of…•2020

    BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) and body mass index (BMI) are associated. However, it remains unclear whether this association reflects causal relationships in either direction or confounding. Here, we implemented genetically informed methods to examine bidirectional causality and potential confounding. METHODS: Three genetically informed methods were employed: (i) cross-lagged twin-differences analyses to assess bidir…

  • Combining multivariate genomic approaches to elucidate the comorbidity between autism spectrum disorder and attention deficit hyperactivity disorder

    Open Access•Hugo Peyre, Tabea Schoeler et al.•ARTICLE•Journal of Child Psychology and…•2021

    BACKGROUND: Attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are two highly heritable neurodevelopmental disorders. Several lines of evidence point towards the presence of shared genetic factors underlying ASD and ADHD. We conducted genomic analyses of common risk variants (i.e. single nucleotide polymorphisms, SNPs) shared by ASD and ADHD, and those specific to each disorder. METHODS: With the summary data from …

  • A genetically informed Registered Report on adverse childhood experiences and mental health

    Open Access•Jessie R Baldwin, Hannah M Sallis et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 2•References: 111

    Children who experience adversities have an elevated risk of mental health problems. However, the extent to which adverse childhood experiences (ACEs) cause mental health problems remains unclear, as previous associations may partly reflect genetic confounding. In this Registered Report, we used DNA from 11,407 children from the United Kingdom and the United States to investigate gene–environment correlations and genetic confounding of the associ…

  • Participation bias in the UK Biobank distorts genetic associations and downstream analyses

    Open Access•Tabea Schoeler, Doug Speed et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 6•References: 44

    While volunteer-based studies such as the UK Biobank have become the cornerstone of genetic epidemiology, the participating individuals are rarely representative of their target population. To evaluate the impact of selective participation, here we derived UK Biobank participation probabilities on the basis of 14 variables harmonized across the UK Biobank and a representative sample. We then conducted weighted genome-wide association analyses on …

  • The impact of self-report inaccuracy in the UK Biobank and its interplay with selective participation

    Open Access•Tabea Schoeler, Jean-Baptiste Pingault et al.•ARTICLE•Nature Human Behaviour•2024•References: 42

    Although the use of short self-report measures is common practice in biobank initiatives, such a phenotyping strategy is inherently prone to reporting errors. To explore challenges related to self-report errors, we first derived a reporting error score in the UK Biobank (UKBB; n = 73,127), capturing inconsistent self-reporting in time-invariant phenotypes across multiple measurement occasions. We then performed genome-wide scans on the reporting …

  • The role of comorbid childhood mental health and neurodevelopmental conditions in the persistence of ADHD symptoms

    Open Access•Yuan You, Tom A Mcadams et al.•ARTICLE•Journal of Child Psychology and…•2026

    Background Children diagnosed with ADHD and other comorbid mental health conditions often exhibit more severe functional impairments than those without comorbid conditions, including a tendency for their ADHD symptoms to persist into later developmental stages. We conducted a systematic review and quantitative analysis to investigate the extent to which specific childhood comorbidities (internalizing, externalizing and neurodevelopmental conditio…

Psychology (8 works) · Medicine (6 works) · Biology (4 works) · Genetic Associations and Epidemiology (4 works) · Genetics (4 works) · Psychiatry (4 works) · Attention Deficit Hyperactivity Disorder (3 works) · Genetic variants (3 works) · Mendelian randomization (3 works) · Mental health (3 works)

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