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Xu Y, Rahman Q. The Chain Mediation Effect of Victimization and Neuroticism on the Association Between Sexual Orientation and Depressive Symptoms: A Prospective Birth Cohort Study. ARCHIVES OF SEXUAL BEHAVIOR 2024:10.1007/s10508-024-02979-2. [PMID: 39179929 DOI: 10.1007/s10508-024-02979-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 07/11/2024] [Accepted: 08/05/2024] [Indexed: 08/26/2024]
Abstract
This study tested whether sexual orientation differences in depressive symptoms were partially explained by the chain mediation effect of neuroticism and victimization. Using the Avon Longitudinal Study of Parents and Children from the UK (N = 4647, 36.52% men, 88% White), self-reported neuroticism, sexual orientation, and depressive symptoms were measured at age 13.5, 21, and 22 years, respectively. Childhood abuse between birth and age 11 years and the individuals' experiences of being bullied at age 17.5 years were measured as the components of victimization. Structural equation modeling was used to analyze the data. Non-heterosexual individuals reported higher depressive symptoms than heterosexual individuals, with a total effect (standardized path coefficient) of 0.590 and 0.768 for men and women, respectively. This association was partially explained by childhood abuse (indirect effect = 0.043 and 0.046 for men and women, respectively) and neuroticism directly (indirect effect = 0.036 and 0.056 for men and women, respectively). Sexual orientation differences in depressive symptoms were also partially explained by a path through increased risk of experiencing childhood abuse leading to higher levels of neuroticism (indirect effect = 0.004 and 0.009 for men and women, respectively) and by a path through higher levels of neuroticism leading to increased risk of being bullied (indirect effect = 0.004 and 0.002 for men and women, respectively). The findings suggest that while some of the association between sexual orientation and depression might be explained by neuroticism and experiences of victimization measured prospectively, these factors do not account for most of this relationship.
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Affiliation(s)
- Yin Xu
- Department of Sociology & Psychology, School of Public Administration, Sichuan University, Chengdu, Sichuan, 610065, China.
| | - Qazi Rahman
- Department of Psychology, Institute of Psychiatry, King's College London, Psychology & Neuroscience, London, UK
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Coleman O, Baldwin JR, Dalgleish T, Rose-Clarke K, Widom CS, Danese A. Research Review: Why do prospective and retrospective measures of maltreatment differ? A narrative review. J Child Psychol Psychiatry 2024. [PMID: 39150090 DOI: 10.1111/jcpp.14048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/07/2024] [Indexed: 08/17/2024]
Abstract
BACKGROUND Childhood maltreatment contributes to a large mental health burden worldwide. Different measures of childhood maltreatment are not equivalent and may capture meaningful differences. In particular, prospective and retrospective measures of maltreatment identify different groups of individuals and are differentially associated with psychopathology. However, the reasons behind these discrepancies have not yet been comprehensively mapped. METHODS In this review, we draw on multi-disciplinary research and present an integrated framework to explain maltreatment measurement disagreement. RESULTS We identified three interrelated domains. First, methodological issues related to measurement and data collection methods. Second, the role of memory in influencing retrospective reports of maltreatment. Finally, the motivations individuals may have to disclose, withhold, or fabricate information about maltreatment. CONCLUSIONS A greater understanding of maltreatment measurement disagreement may point to new ways to conceptualise and assess maltreatment. Furthermore, it may help uncover mechanisms underlying maltreatment-related psychopathology and targets for novel interventions.
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Affiliation(s)
- Oonagh Coleman
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jessie R Baldwin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Tim Dalgleish
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Fulbourn, UK
| | | | - Cathy Spatz Widom
- Psychology Department, John Jay College, City University of New York, New York, NY, USA
- Graduate Center, City University of New York, New York, NY, USA
| | - Andrea Danese
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National and Specialist CAMHS Clinic for Trauma, Anxiety, and Depression, South London and Maudsley NHS Foundation Trust, London, UK
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3
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Crouse JJ, Park SH, Byrne EM, Mitchell BL, Scott J, Medland SE, Lin T, Wray NR, Martin NG, Hickie IB. Patterns of stressful life events and polygenic scores for five mental disorders and neuroticism among adults with depression. Mol Psychiatry 2024:10.1038/s41380-024-02492-x. [PMID: 38575805 DOI: 10.1038/s41380-024-02492-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 02/08/2024] [Accepted: 02/20/2024] [Indexed: 04/06/2024]
Abstract
The dominant ('general') version of the diathesis-stress theory of depression views stressors and genetic vulnerability as independent risks. In the Australian Genetics of Depression Study (N = 14,146; 75% female), we tested whether polygenic scores (PGS) for major depression, bipolar disorder, schizophrenia, anxiety, ADHD, and neuroticism were associated with reported exposure to 32 childhood, past-year, lifetime, and accumulated stressful life events (SLEs). In false discovery rate-corrected models, the clearest PGS-SLE relationships were for the ADHD- and depression-PGSs, and to a lesser extent, the anxiety- and schizophrenia-PGSs. We describe the associations for childhood and accumulated SLEs, and the 2-3 strongest past-year/lifetime SLE associations. Higher ADHD-PGS was associated with all childhood SLEs (emotional abuse, emotional neglect, physical neglect; ORs = 1.09-1.14; p's < 1.3 × 10-5), more accumulated SLEs, and reported exposure to sudden violent death (OR = 1.23; p = 3.6 × 10-5), legal troubles (OR = 1.15; p = 0.003), and sudden accidental death (OR = 1.14; p = 0.006). Higher depression-PGS was associated with all childhood SLEs (ORs = 1.07-1.12; p's < 0.013), more accumulated SLEs, and severe human suffering (OR = 1.17; p = 0.003), assault with a weapon (OR = 1.12; p = 0.003), and living in unpleasant surroundings (OR = 1.11; p = 0.001). Higher anxiety-PGS was associated with childhood emotional abuse (OR = 1.08; p = 1.6 × 10-4), more accumulated SLEs, and serious accident (OR = 1.23; p = 0.004), physical assault (OR = 1.08; p = 2.2 × 10-4), and transportation accident (OR = 1.07; p = 0.001). Higher schizophrenia-PGS was associated with all childhood SLEs (ORs = 1.12-1.19; p's < 9.3-8), more accumulated SLEs, and severe human suffering (OR = 1.16; p = 0.003). Higher neuroticism-PGS was associated with living in unpleasant surroundings (OR = 1.09; p = 0.007) and major financial troubles (OR = 1.06; p = 0.014). A reversed pattern was seen for the bipolar-PGS, with lower odds of reported physical assault (OR = 0.95; p = 0.014), major financial troubles (OR = 0.93; p = 0.004), and living in unpleasant surroundings (OR = 0.92; p = 0.007). Genetic risk for several mental disorders influences reported exposure to SLEs among adults with moderately severe, recurrent depression. Our findings emphasise that stressors and diatheses are inter-dependent and challenge diagnosis and subtyping (e.g., reactive/endogenous) based on life events.
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Affiliation(s)
- Jacob J Crouse
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Shin Ho Park
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Enda M Byrne
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Brittany L Mitchell
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jan Scott
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, UK
- Norwegian University of Science and Technology, Trondheim, Norway
- Université de Paris, Paris, France
| | - Sarah E Medland
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Tian Lin
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Nicholas G Martin
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Ian B Hickie
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
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Zhang Y, Li S, Xie Y, Xiao W, Xu H, Jin Z, Li R, Wan Y, Tao F. Role of polygenic risk scores in the association between chronotype and health risk behaviors. BMC Psychiatry 2023; 23:955. [PMID: 38124075 PMCID: PMC10731716 DOI: 10.1186/s12888-023-05337-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 11/01/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND This study explores the association between chronotypes and adolescent health risk behaviors (HRBs) by testing how genetic background moderates these associations and clarifies the influence of chronotypes and polygenic risk score (PRS) on adolescent HRBs. METHODS Using VOS-viewer software to select the corresponding data, this study used knowledge domain mapping to identify and develop the research direction with respect to adolescent risk factor type. Next, DNA samples from 264 students were collected for low-depth whole-genome sequencing. The sequencing detected HRB risk loci, 49 single nucleotide polymorphisms based to significant SNP. Subsequently, PRSs were assessed and divided into low, moderate, and high genetic risk according to the tertiles and chronotypes and interaction models were constructed to evaluate the association of interaction effect and clustering of adolescent HRBs. The chronotypes and the association between CLOCK-PRS and HRBs were examined to explore the association between chronotypes and mental health and circadian CLOCK-PRS and HRBs. RESULTS Four prominent areas were displayed by clustering information fields in network and density visualization modes in VOS-viewer. The total score of evening chronotypes correlated with high-level clustering of HRBs in adolescents, co-occurrence, and mental health, and the difference was statistically significant. After controlling covariates, the results remained consistent. Three-way interactions between chronotype, age, and mental health were observed, and the differences were statistically significant. CLOCK-PRS was constructed to identify genetic susceptibility to the clustering of HRBs. The interaction of evening chronotypes and high genetic risk CLOCK-PRS was positively correlated with high-level clustering of HRBs and HRB co-occurrence in adolescents, and the difference was statistically significant. The interaction between the sub-dimensions of evening chronotypes and the high genetic CLOCK-PRS risk correlated with the outcome of the clustering of HRBs and HRB co-occurrence. CONCLUSIONS The interaction of PRS and chronotype and the HRBs in adolescents appear to have an association, and the three-way interaction between the CLOCK-PRS, chronotype, and mental health plays important roles for HRBs in adolescents.
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Affiliation(s)
- Yi Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, 230032, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, 230032, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, 230032, Hefei, Anhui, China
| | - Shuqin Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, 230032, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, 230032, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, 230032, Hefei, Anhui, China
| | - Yang Xie
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, 230032, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, 230032, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, 230032, Hefei, Anhui, China
| | - Wan Xiao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, 230032, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, 230032, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, 230032, Hefei, Anhui, China
| | - Huiqiong Xu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, 230032, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, 230032, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, 230032, Hefei, Anhui, China
| | - Zhengge Jin
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, 230032, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, 230032, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, 230032, Hefei, Anhui, China
| | - Ruoyu Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, 230032, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, 230032, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, 230032, Hefei, Anhui, China
| | - Yuhui Wan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, 230032, Hefei, Anhui, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, 230032, Hefei, Anhui, China.
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, 230032, Hefei, Anhui, China.
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, 230032, Hefei, Anhui, China.
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, 230032, Hefei, Anhui, China.
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, 230032, Hefei, Anhui, China.
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ter Kuile AR, Hübel C, Cheesman R, Coleman JR, Peel AJ, Levey DF, Stein MB, Gelernter J, Rayner C, Eley TC, Breen G. Genetic Decomposition of the Heritable Component of Reported Childhood Maltreatment. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:716-724. [PMID: 37881567 PMCID: PMC10593925 DOI: 10.1016/j.bpsgos.2023.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 02/15/2023] [Accepted: 03/11/2023] [Indexed: 10/27/2023] Open
Abstract
Background Decades of research have shown that environmental exposures, including self-reports of trauma, are partly heritable. Heritable characteristics may influence exposure to and interpretations of environmental factors. Identifying heritable factors associated with self-reported trauma could improve our understanding of vulnerability to exposure and the interpretation of life events. Methods We used genome-wide association study summary statistics of childhood maltreatment, defined as reporting of abuse (emotional, sexual, and physical) and neglect (emotional and physical) (N = 185,414 participants). We calculated genetic correlations (rg) between reported childhood maltreatment and 576 traits to identify phenotypes that might explain the heritability of reported childhood maltreatment, retaining those with |rg| > 0.25. We specified multiple regression models using genomic structural equation modeling to detect residual genetic variance in childhood maltreatment after accounting for genetically correlated traits. Results In 2 separate models, the shared genetic component of 12 health and behavioral traits and 7 psychiatric disorders accounted for 59% and 56% of heritability due to common genetic variants (single nucleotide polymorphism-based heritability [h2SNP]) of childhood maltreatment, respectively. Genetic influences on h2SNP of childhood maltreatment were generally accounted for by a shared genetic component across traits. The exceptions to this were general risk tolerance, subjective well-being, posttraumatic stress disorder, and autism spectrum disorder, identified as independent contributors to h2SNP of childhood maltreatment. These 4 traits alone were sufficient to explain 58% of h2SNP of childhood maltreatment. Conclusions We identified putative traits that reflect h2SNP of childhood maltreatment. Elucidating the mechanisms underlying these associations may improve trauma prevention and posttraumatic intervention strategies.
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Affiliation(s)
- Abigail R. ter Kuile
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- National Institute for Health and Care Research Maudsley Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
| | - Christopher Hübel
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- National Institute for Health and Care Research Maudsley Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
- National Centre for Register-based Research, Aarhus Business and Social Sciences, Aarhus University, Aarhus, Denmark
| | - Rosa Cheesman
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | - Jonathan R.I. Coleman
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- National Institute for Health and Care Research Maudsley Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
| | - Alicia J. Peel
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Daniel F. Levey
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Murray B. Stein
- Veterans Affairs San Diego Healthcare System, San Diego, California
- Department of Psychiatry and School of Public Health, University of California San Diego, La Jolla, California
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut
| | - Christopher Rayner
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Thalia C. Eley
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- National Institute for Health and Care Research Maudsley Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
| | - Gerome Breen
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- National Institute for Health and Care Research Maudsley Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
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Xu Y, Rahman Q, Hiyoshi A, Montgomery S. Same-sex and Opposite-sex Marriages as a Proxy Measure of Sexual Orientation and Its Association with Psychopathology: A Reply to Zietsch and Sanders. JOURNAL OF SEX RESEARCH 2023; 60:608-610. [PMID: 36399087 DOI: 10.1080/00224499.2022.2144990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Affiliation(s)
- Yin Xu
- Department of Sociology & Psychology, School of Public Administration, Sichuan University
| | - Qazi Rahman
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | - Ayako Hiyoshi
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University
- Department of Public Health Sciences, Stockholm University
- Department of Epidemiology and Public Health, University College London
| | - Scott Montgomery
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University
- Department of Epidemiology and Public Health, University College London
- Clinical Epidemiology Division, Karolinska Institutet
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7
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Baldwin JR, Sallis HM, Schoeler T, Taylor MJ, Kwong ASF, Tielbeek JJ, Barkhuizen W, Warrier V, Howe LD, Danese A, McCrory E, Rijsdijk F, Larsson H, Lundström S, Karlsson R, Lichtenstein P, Munafò M, Pingault JB. A genetically informed Registered Report on adverse childhood experiences and mental health. Nat Hum Behav 2023; 7:269-290. [PMID: 36482079 PMCID: PMC7614239 DOI: 10.1038/s41562-022-01482-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 10/13/2022] [Indexed: 12/13/2022]
Abstract
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 associations between ACEs and mental health. Regarding gene-environment correlations, children with higher polygenic scores for mental health problems had a small increase in odds of ACEs. Regarding genetic confounding, elevated risk of mental health problems in children exposed to ACEs was at least partially due to pre-existing genetic risk. However, some ACEs (such as childhood maltreatment and parental mental illness) remained associated with mental health problems independent of genetic confounding. These findings suggest that interventions addressing heritable psychiatric vulnerabilities in children exposed to ACEs may help reduce their risk of mental health problems.
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Affiliation(s)
- Jessie R Baldwin
- Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, London, UK.
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Hannah M Sallis
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol Medical School, University of Bristol, Bristol, UK
- School of Psychological Science, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tabea Schoeler
- Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, London, UK
| | - Mark J Taylor
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Alex S F Kwong
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Psychiatry, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - Jorim J Tielbeek
- CNCR, Amsterdam Neuroscience Campus, VU University, Amsterdam, the Netherlands
| | - Wikus Barkhuizen
- Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, London, UK
| | - Varun Warrier
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Laura D Howe
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol Medical School, University of Bristol, Bristol, UK
| | - Andrea Danese
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National and Specialist CAMHS Trauma, Anxiety, and Depression Clinic, South London and Maudsley NHS Foundation Trust, London, UK
| | - Eamon McCrory
- Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, London, UK
- Anna Freud National Centre for Children and Families, London, UK
| | - Fruhling Rijsdijk
- Psychology Department, Faculty of Social Sciences, Anton de Kom University, Paramaribo, Suriname
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Centre for Ethics, Law and Mental Health (CELAM), Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Marcus Munafò
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol Medical School, University of Bristol, Bristol, UK
- School of Psychological Science, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Jean-Baptiste Pingault
- Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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8
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Peel AJ, Oginni O, Assary E, Krebs G, Lockhart C, McGregor T, Palaiologou E, Ronald A, Danese A, Eley TC. A multivariate genetic analysis of anxiety sensitivity, environmental sensitivity and reported life events in adolescents. J Child Psychol Psychiatry 2023; 64:289-298. [PMID: 36513622 PMCID: PMC10107936 DOI: 10.1111/jcpp.13725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/08/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Despite being considered a measure of environmental risk, reported life events are partly heritable. One mechanism that may contribute to this heritability is genetic influences on sensitivity, relating to how individuals process and interpret internal and external signals. The aim of this study was to explore the genetic and environmental overlap between self-reported life events and measures of sensitivity. METHODS At age 17, 2,939 individuals from the Twins Early Development Study (TEDS) completed measures of anxiety sensitivity (Children's Anxiety Sensitivity Index), environmental sensitivity (Highly Sensitive Child Scale) and reported their experience of 20 recent life events. Using multivariate Cholesky decomposition models, we investigated the shared genetic and environmental influences on the associations between these measures of sensitivity and the number of reported life events, as well as both negative and positive ratings of life events. RESULTS The majority of the associations between anxiety sensitivity, environmental sensitivity and reported life events were explained by shared genetic influences (60%-75%), with the remainder explained by nonshared environmental influences (25%-40%). Environmental sensitivity showed comparable genetic correlations with both negative and positive ratings of life events (rA = .21 and .15), anxiety sensitivity only showed a significant genetic correlation with negative ratings of life events (rA = .33). Approximately 10% of the genetic influences on reported life events were accounted for by influences shared with anxiety sensitivity and environmental sensitivity. CONCLUSION Differences in how individuals process the contextual aspects of the environment or interpret their own physical and emotional response to environmental stimuli may be one mechanism through which genetic liability influences the subjective experience of life events.
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Affiliation(s)
- Alicia J Peel
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Olakunle Oginni
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Elham Assary
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Georgina Krebs
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Research Department of Clinical, Educational and Health Psychology, University College London, London, UK.,National and Specialist OCD, BDD and Related Disorders Clinic for Young People, South London and Maudsley NHS Foundation Trust, London, UK
| | - Celestine Lockhart
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Thomas McGregor
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Elisavet Palaiologou
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Angelica Ronald
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, London, UK
| | - Andrea Danese
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,National and Specialist CAMHS Trauma, Anxiety, and Depression Clinic, South London and Maudsley NHS Foundation Trust, London, UK
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,NIHR Biomedical Research Centre, South London and Maudsley Hospital, London, UK
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