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Lebenbaum M, Gagnon F, de Oliveira C, Laporte A. Genetic endowments for social capital: An investigation accounting for genetic nurturing effects. ECONOMICS AND HUMAN BIOLOGY 2024; 52:101316. [PMID: 38056316 DOI: 10.1016/j.ehb.2023.101316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 11/02/2023] [Accepted: 11/11/2023] [Indexed: 12/08/2023]
Abstract
Despite social capital having been shown to be important for health and well-being, relatively little research has examined genetic determinants. Genetic endowments for education have been shown to influence human, financial, and health capital, but few studies have examined social capital, and those conducted have yet to account for genetic nurturing. We used the Add-Health data to study the effect of genetic endowments on individual social capital using the education polygenic score (PGS). We used sibling fixed effects models and controlled for the family environment to account for genetic nurturing. After accounting for the family environment, we found moderately large significant associations between the education PGS and volunteering, but associations with religious service attendance and number of friends were completely attenuated in sibling fixed effects models. These findings highlight that genetic endowments play an important role in influencing volunteering and the importance of accounting for genetic nurturing.
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Affiliation(s)
- Michael Lebenbaum
- Institute of Health Policy, Management and Evaluation (IHPME), University of Toronto, 155 College St 4th Floor, Toronto, ON M5T 3M6, Canada; Canadian Centre for Health Economics, 155 College St 4th Floor, Toronto, ON M5T 3M6, Canada.
| | - France Gagnon
- The Dalla Lana School of Public Health (DLSPH), University of Toronto, 155 College St Room 500, Toronto, ON M5T 3M7, Canada
| | - Claire de Oliveira
- Institute of Health Policy, Management and Evaluation (IHPME), University of Toronto, 155 College St 4th Floor, Toronto, ON M5T 3M6, Canada; Canadian Centre for Health Economics, 155 College St 4th Floor, Toronto, ON M5T 3M6, Canada; Centre for Health Economics and the Hull York Medical School, University of York, Heslington, York YO10 5DD, United Kingdom
| | - Audrey Laporte
- Institute of Health Policy, Management and Evaluation (IHPME), University of Toronto, 155 College St 4th Floor, Toronto, ON M5T 3M6, Canada; Canadian Centre for Health Economics, 155 College St 4th Floor, Toronto, ON M5T 3M6, Canada
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2
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Taji W, Pierson R, Ujma PP. Protocol of the Budapest sleep, experiences, and traits study: An accessible resource for understanding associations between daily experiences, individual differences, and objectively measured sleep. PLoS One 2023; 18:e0288909. [PMID: 37856524 PMCID: PMC10586695 DOI: 10.1371/journal.pone.0288909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 07/07/2023] [Indexed: 10/21/2023] Open
Abstract
Sleep is both a neurophysiological state and a biologically necessary behavior that performs a variety of indispensable roles for human health, development, and cognitive functioning. Despite this, comparatively little is known about the relationships between daily experiences and sleep features. Importantly, these relationships are bidirectional in nature, may be differently associated with subjectively and objectively assessed sleep, and may also be modulated by individual differences To address this challenge, we created the Budapest Sleep, Experiences, and Traits Study (BSETS), a multidisciplinary observational sleep study utilizing novel remote EEG devices. BSETS was designed to establish a dataset for future use in investigating the relationships between sleep features and daily experiences. In this paper we describe the protocol of the currently ongoing BSETS, which examines a community-dwelling sample of over 250 healthy participants who are studied in a naturalistic setting using a large questionnaire assessing psychological, demographic, and anthropometric information, as well as evening/morning diaries of sleep and daily experiences, and mobile EEG recordings over a period of 7 days. This dataset will become an accessible resource to the wider scientific community and can be utilized to investigate the complex multidirectional relationships between objectively and subjectively measured sleep, daily experiences, and individual differences, bestowing it with significant value for sleep researchers as well as practitioners working in clinical settings with patients suffering from disordered sleep.
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Affiliation(s)
- Wael Taji
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
| | - Róbert Pierson
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
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3
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Matsudaira I, Yamaguchi R, Taki Y. Transmit Radiant Individuality to Offspring (TRIO) study: investigating intergenerational transmission effects on brain development. Front Psychiatry 2023; 14:1150973. [PMID: 37840799 PMCID: PMC10568142 DOI: 10.3389/fpsyt.2023.1150973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 09/07/2023] [Indexed: 10/17/2023] Open
Abstract
Intergenerational transmission is a crucial aspect of human development. Although prior studies have demonstrated the continuity of psychopathology and maladaptive upbringing environments between parents and offspring, the underlying neurobiological mechanisms remain unclear. We have begun a novel neuroimaging research project, the Transmit Radiant Individuality to Offspring (TRIO) study, which focuses on biological parent-offspring trios. The participants of the TRIO study were Japanese parent-offspring trios consisting of offspring aged 10-40 and their biological mother and father. Structural and functional brain images of all participants were acquired using magnetic resonance imaging (MRI). Saliva samples were collected for DNA analysis. We obtained psychosocial information, such as intelligence, mental health problems, personality traits, and experiences during the developmental period from each parent and offspring in the same manner as much as possible. By April 2023, we completed data acquisition from 174 trios consisting of fathers, mothers, and offspring. The target sample size was 310 trios. However, we plan to conduct genetic and epigenetic analyses, and the sample size is expected to be expanded further while developing this project into a multi-site collaborative study in the future. The TRIO study can challenge the elucidation of the mechanism of intergenerational transmission effects on human development by collecting diverse information from parents and offspring at the molecular, neural, and behavioral levels. Our study provides interdisciplinary insights into how individuals' lives are involved in the construction of the lives of their descendants in the subsequent generation.
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Affiliation(s)
- Izumi Matsudaira
- Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
| | - Ryo Yamaguchi
- Japan Society for the Promotion of Science, Tokyo, Japan
- Department of Medical Sciences, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
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von Stumm S, Kandaswamy R, Maxwell J. Gene-environment interplay in early life cognitive development. INTELLIGENCE 2023. [DOI: 10.1016/j.intell.2023.101748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2023]
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Lin BD, Vermeulen JM, Bolhuis K, Chang X, Schirmbeck F, van Eijk KR, Guloksuz S, Blankers M, van den Brink W, de Haan L, Luykx JJ. Associations between genetic liabilities to smoking behavior and schizophrenia symptoms in patients with a psychotic disorder, their siblings and healthy controls. Psychiatry Res 2023; 323:115143. [PMID: 36948018 DOI: 10.1016/j.psychres.2023.115143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/21/2023] [Accepted: 03/01/2023] [Indexed: 03/24/2023]
Abstract
It is unknown how smoking behavior polygenic scores (PRS) relate to psychosis and psychotic symptoms. To elucidate this, genotype and phenotype data were collected from patients with schizophrenia, their unaffected siblings, and healthy controls in a six-year follow-up prospective cohort study. Associations between smoking behaviors, PRS and schizophrenia symptoms were explored using linear mixed-effect models. The mean number of cigarettes smoked per day were 18 for patients, 13 for siblings and 12 for controls. In the overall sample, PRSs-smoking initiation (i.e., ever smoking as a binary phenotype, PRS-SI) were positively associated with positive symptoms, negative symptoms, and depressive symptoms, whereas PRSs-AI (age at regular smoking initiation) were negatively associated with all symptom dimensions, with similar effect sizes. When considering groups separately, PRS were only associated with psychotic symptoms in siblings and controls. In conclusion, unaffected siblings show smoking behaviors at an intermediate level between patients and healthy controls. Additionally, PRS-SI and PRS-AI are associated with all symptom dimensions only in unaffected siblings and healthy controls, possibly owing to the dominant role of other (genetic) risk factors in patients. Future studies may examine mechanisms via which genetic risk for smoking affects mental health symptoms.
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Affiliation(s)
- Bochao Danae Lin
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Brain Center Rudolf Magnus, Utrecht, The Netherlands; Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht University, Brain Center Rudolf Magnus, Utrecht, The Netherlands; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jentien M Vermeulen
- Department of Psychiatry, Amsterdam UMC location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - K Bolhuis
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Xiao Chang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China
| | - Frederike Schirmbeck
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Brain Center Rudolf Magnus, Utrecht, The Netherlands; Arkin Mental Health Care, Amsterdam, The Netherlands
| | - Kristel R van Eijk
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Brain Center Rudolf Magnus, Utrecht, The Netherlands; Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht University, Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | | | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Matthijs Blankers
- Arkin Mental Health Care, Amsterdam, The Netherlands; Trimbos institute - The Netherlands institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - W van den Brink
- Department of Psychiatry, Amsterdam UMC location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Lieuwe de Haan
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands; Arkin Mental Health Care, Amsterdam, The Netherlands
| | - Jurjen J Luykx
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Brain Center Rudolf Magnus, Utrecht, The Netherlands; Department of Translational Neuroscience, University Medical Center Utrecht, Utrecht University, Brain Center Rudolf Magnus, Utrecht, The Netherlands; GGNet Mental Health, Warnsveld, The Netherlands.
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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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Verweij RM, Keizer R. The intergenerational transmission of educational attainment: A closer look at the (interrelated) roles of paternal involvement and genetic inheritance. PLoS One 2022; 17:e0267254. [PMID: 36508409 PMCID: PMC9744317 DOI: 10.1371/journal.pone.0267254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 11/22/2022] [Indexed: 12/14/2022] Open
Abstract
Numerous studies have documented a strong intergenerational transmission of educational attainment. In explaining this transmission, separate fields of research have studied separate mechanisms. To obtain a more complete understanding, the current study integrates insights from the fields of behavioural sciences and genetics and examines the extent to which paternal involvement and children's polygenic score (PGS) are unique underlying mechanisms, correlate with each other, and/or act as important confounders in the intergenerational transmission of fathers' educational attainment. To answer our research questions, we use rich data from The National Longitudinal Study of Adolescent to Adult Health (n = 4,579). Firstly, results from our mediation analyses showed a significant association between fathers' educational attainment and children's educational attainment (0.303). This association is for about 4 per cent accounted for by paternal involvement, whereas a much larger share, 21 per cent, is accounted for by children's education PGS. Secondly, our results showed that these genetic and behavioural factors are significantly correlated with each other (correlations between 0.06 and 0.09). Thirdly, we found support for genetic confounding, as adding children's education PGS to the model reduced the association between paternal involvement and children's educational attainment by 11 per cent. Fourthly, evidence for social confounding was almost negligible (the association between child's education PGS and educational attainment was only reduced by half of a per cent). Our findings highlight the importance of integrating insights and data from multiple disciplines in understanding the mechanisms underlying the intergenerational transmission of inequality, as our study reveals that behavioural and genetic influences overlap, correlate, and confound each other as mechanisms underlying this transmission.
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Affiliation(s)
- Renske Marianne Verweij
- Department of Public Administration and Sociology, Erasmus University of Rotterdam, Rotterdam, The Netherlands
- * E-mail:
| | - Renske Keizer
- Department of Public Administration and Sociology, Erasmus University of Rotterdam, Rotterdam, The Netherlands
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Plomin R. The next 10 years of behavioural genomic research. JCPP ADVANCES 2022; 2:e12112. [PMID: 37431418 PMCID: PMC10242940 DOI: 10.1002/jcv2.12112] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 09/23/2022] [Indexed: 12/10/2023] Open
Abstract
Background The explosion caused by the fusion of quantitative genetics and molecular genetics will transform behavioural genetic research in child and adolescent psychology and psychiatry. Methods Although the fallout has not yet settled, the goal of this paper is to predict the next 10 years of research in what could be called behavioural genomics. Results I focus on three research directions: the genetic architecture of psychopathology, causal modelling of gene-environment interplay, and the use of DNA as an early warning system. Conclusion Eventually, whole-genome sequencing will be available for all newborns, which means that behavioural genomics could potentially be applied ubiquitously in research and clinical practice.
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Affiliation(s)
- Robert Plomin
- King's College LondonInstitute of PsychiatryPsychology and NeuroscienceLondonUK
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Pingault J, Allegrini AG, Odigie T, Frach L, Baldwin JR, Rijsdijk F, Dudbridge F. Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes. J Child Psychol Psychiatry 2022; 63:1125-1139. [PMID: 35347715 PMCID: PMC9790749 DOI: 10.1111/jcpp.13607] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/23/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND Genetic influences are ubiquitous as virtually all phenotypes and most exposures typically classified as environmental have been found to be heritable. A polygenic score summarises the associations between millions of genetic variants and an outcome in a single value for each individual. Ever lowering costs have enabled the genotyping of many samples relevant to child psychology and psychiatry research, including cohort studies, leading to the proliferation of polygenic score studies. It is tempting to assume that associations detected between polygenic scores and phenotypes in those studies only reflect genetic effects. However, such associations can reflect many pathways (e.g. via environmental mediation) and biases. METHODS Here, we provide a comprehensive overview of the many reasons why associations between polygenic scores, environmental exposures, and phenotypes exist. We include formal representations of common analyses in polygenic score studies using structural equation modelling. We derive biases, provide illustrative empirical examples and, when possible, mention steps that can be taken to alleviate those biases. RESULTS Structural equation models and derivations show the many complexities arising from jointly modelling polygenic scores with environmental exposures and phenotypes. Counter-intuitive examples include that: (a) associations between polygenic scores and phenotypes may exist even in the absence of direct genetic effects; (b) associations between child polygenic scores and environmental exposures can exist in the absence of evocative/active gene-environment correlations; and (c) adjusting an exposure-outcome association for a polygenic score can increase rather than decrease bias. CONCLUSIONS Strikingly, using polygenic scores may, in some cases, lead to more bias than not using them. Appropriately conducting and interpreting polygenic score studies thus requires researchers in child psychology and psychiatry and beyond to be versed in both epidemiological and genetic methods or build on interdisciplinary collaborations.
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Affiliation(s)
- Jean‐Baptiste Pingault
- Division of Psychology and Language SciencesDepartment of Clinical, Educational and Health PsychologyUniversity College LondonLondonUK
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUK
| | - Andrea G. Allegrini
- Division of Psychology and Language SciencesDepartment of Clinical, Educational and Health PsychologyUniversity College LondonLondonUK
| | - Tracy Odigie
- Division of Psychology and Language SciencesDepartment of Clinical, Educational and Health PsychologyUniversity College LondonLondonUK
| | - Leonard Frach
- Division of Psychology and Language SciencesDepartment of Clinical, Educational and Health PsychologyUniversity College LondonLondonUK
| | - Jessie R. Baldwin
- Division of Psychology and Language SciencesDepartment of Clinical, Educational and Health PsychologyUniversity College LondonLondonUK
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology and NeuroscienceKing’s College LondonLondonUK
| | - Frühling Rijsdijk
- Faculty of Social SciencesAnton de Kom University of SurinameParamariboSuriname
| | - Frank Dudbridge
- Department of Health SciencesUniversity of LeicesterLeicesterUK
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Machlitt‐Northen S, Keers R, Munroe PB, Howard DM, Trubetskoy V, Pluess M. Polygenic scores for schizophrenia and major depression are associated with psychosocial risk factors in children: evidence of gene-environment correlation. J Child Psychol Psychiatry 2022; 63:1140-1152. [PMID: 35781881 PMCID: PMC9796489 DOI: 10.1111/jcpp.13657] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/20/2022] [Indexed: 01/02/2023]
Abstract
BACKGROUND Whilst genetic and environmental risk factors for schizophrenia (SCZ) and major depressive disorder (MDD) have been established, it is unclear whether exposure to environmental risk factors is genetically confounded by passive, evocative or active gene-environment correlation (rGE). STUDY OBJECTIVE This study aims to investigate: (a) whether the genetic risk for SCZ/MDD in children is correlated with established environmental and psychosocial risk factors in two British community samples, the 1958 National Child Development Study (NCDS) and the Millennium Cohort Study (MCS), (b) whether these associations vary between both psychopathologies, and (c) whether findings differ across the two cohorts which were born 42 years apart. METHODS Polygenic risk scores (PRS) from existing large genome-wide associations studies (GWAS) were applied to test the correlation between the child genetic risk for SCZ/MDD and known environmental risk factors. In addition, parental and child genetic data from MCS were used to distinguish between passive and evocative rGE. RESULTS The child polygenic risk for SCZ and MDD was correlated with single parenthood in MCS. Moreover, the lack of father's involvement in child care was associated with the genetic risk for SCZ in NCDS. However, we also found associations between several indicators of low socioeconomic status and heightened genetic risk for MDD in children in both cohorts. Further, the genetic risk for MDD was associated with parental lack of interest in the child's education in NCDS as well as more maternal smoking and less maternal alcohol consumption during childhood in MCS. According to sensitivity analyses in MCS (controlling for parental genotype), more than half of our significant correlations reflected passive rGE. CONCLUSIONS Findings suggest that several established environmental and psychosocial risk factors for SCZ and MDD are at least partially associated with children's genetic risk for these psychiatric disorders.
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Affiliation(s)
| | - Robert Keers
- Department of Biological and Experimental PsychologyQueen Mary University of LondonLondonUK
| | - Patricia B. Munroe
- Department of Clinical Pharmacology, William Harvey Research InstituteQueen Mary University of LondonLondonUK
| | - David M. Howard
- Social, Genetic and Developmental Psychiatry CentreKing's College LondonLondonUK
- Division of PsychiatryUniversity of Edinburgh, Royal Edinburgh HospitalEdinburghUK
| | - Vassily Trubetskoy
- Department of Psychiatry and PsychotherapyUniversitätsmedizin Berlin Campus Charité MitteBerlinGermany
| | - Michael Pluess
- Department of Biological and Experimental PsychologyQueen Mary University of LondonLondonUK
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11
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Plomin R, Gidziela A, Malanchini M, von Stumm S. Gene-environment interaction using polygenic scores: Do polygenic scores for psychopathology moderate predictions from environmental risk to behavior problems? Dev Psychopathol 2022; 34:1-11. [PMID: 36148872 PMCID: PMC7613991 DOI: 10.1017/s0954579422000931] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The DNA revolution has energized research on interactions between genes and environments (GxE) by creating indices of G (polygenic scores) that are powerful predictors of behavioral traits. Here, we test the extent to which polygenic scores for attention-deficit/hyperactivity disorder and neuroticism moderate associations between parent reports of their children's environmental risk (E) at ages 3 and 4 and teacher ratings of behavior problems (hyperactivity/inattention, conduct problems, emotional symptoms, and peer relationship problems) at ages 7, 9 and 12. The sampling frame included up to 6687 twins from the Twins Early Development Study. Our analyses focused on relative effect sizes of G, E and GxE in predicting behavior problems. G, E and GxE predicted up to 2%, 2% and 0.4%, respectively, of the variance in externalizing behavior problems (hyperactivity/inattention and conduct problems) across ages 7, 9 and 12, with no clear developmental trends. G and E predictions of emotional symptoms and peer relationship problems were weaker. A quarter (12 of 48) of our tests of GxE were nominally significant (p = .05). Increasing the predictive power of G and E would enhance the search for GxE.
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Affiliation(s)
- Robert Plomin
- Institute of Psychiatry, Psychology and Neuroscience, King’s
College London, London, UK
| | - Agnieszka Gidziela
- School of Biological and Behavioural Sciences, Queen Mary University
of London, London, UK
| | - Margherita Malanchini
- School of Biological and Behavioural Sciences, Queen Mary University
of London, London, UK
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12
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Wells JCK, Cole TJ, Cortina-Borja M, Sear R, Leon DA, Marphatia AA, Murray J, Wehrmeister FC, Oliveira PD, Gonçalves H, Oliveira IO, Menezes AMB. Life history trade-offs associated with exposure to low maternal capital are different in sons compared to daughters: Evidence from a prospective Brazilian birth cohort. Front Public Health 2022; 10:914965. [PMID: 36203666 PMCID: PMC9532015 DOI: 10.3389/fpubh.2022.914965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 08/10/2022] [Indexed: 01/22/2023] Open
Abstract
Background Environmental exposures in early life explain variability in many physiological and behavioural traits in adulthood. Recently, we showed that exposure to a composite marker of low maternal capital explained the clustering of adverse behavioural and physical traits in adult daughters in a Brazilian birth cohort. These associations were strongly mediated by whether or not the daughter had reproduced by the age of 18 years. Using evolutionary life history theory, we attributed these associations to trade-offs between competing outcomes, whereby daughters exposed to low maternal capital prioritised investment in reproduction and defence over maintenance and growth. However, little is known about such trade-offs in sons. Methods We investigated 2,024 mother-son dyads from the same birth cohort. We combined data on maternal height, body mass index, income, and education into a composite "maternal capital" index. Son outcomes included reproductive status at the age of 18 years, growth trajectory, adult anthropometry, body composition, cardio-metabolic risk, educational attainment, work status, and risky behaviour (smoking, violent crime). We tested whether sons' early reproduction and exposure to low maternal capital were associated with adverse outcomes and whether this accounted for the clustering of adverse outcomes within individuals. Results Sons reproducing early were shorter, less educated, and more likely to be earning a salary and showing risky behaviour compared to those not reproducing, but did not differ in foetal growth. Low maternal capital was associated with a greater likelihood of sons' reproducing early, leaving school, and smoking. High maternal capital was positively associated with sons' birth weight, adult size, and staying in school. However, the greater adiposity of high-capital sons was associated with an unhealthier cardio-metabolic profile. Conclusion Exposure to low maternal investment is associated with trade-offs between life history functions, helping to explain the clustering of adverse outcomes in sons. The patterns indicated future discounting, with reduced maternal investment associated with early reproduction but less investment in growth, education, or healthy behaviour. However, we also found differences compared to our analyses of daughters, with fewer physical costs associated with early reproduction. Exposure to intergenerational "cycles of disadvantage" has different effects on sons vs. daughters, hence interventions may have sex-specific consequences.
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Affiliation(s)
- Jonathan C. K. Wells
- Policy, Population and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom,*Correspondence: Jonathan C. K. Wells
| | - Tim J. Cole
- Policy, Population and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Mario Cortina-Borja
- Policy, Population and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Rebecca Sear
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - David A. Leon
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom,Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | - Akanksha A. Marphatia
- Policy, Population and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom,Department of Geography, University of Cambridge, Cambridge, United Kingdom
| | - Joseph Murray
- Federal University of Pelotas – Postgraduate Program in Epidemiology, Pelotas, Brazil
| | | | - Paula D. Oliveira
- Federal University of Pelotas – Postgraduate Program in Epidemiology, Pelotas, Brazil
| | - Helen Gonçalves
- Federal University of Pelotas – Postgraduate Program in Epidemiology, Pelotas, Brazil
| | - Isabel O. Oliveira
- Federal University of Pelotas – Postgraduate Program in Epidemiology, Pelotas, Brazil
| | - Ana Maria B. Menezes
- Federal University of Pelotas – Postgraduate Program in Epidemiology, Pelotas, Brazil
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13
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Woolway GE, Smart SE, Lynham AJ, Lloyd JL, Owen MJ, Jones IR, Walters JTR, Legge SE. Schizophrenia Polygenic Risk and Experiences of Childhood Adversity: A Systematic Review and Meta-analysis. Schizophr Bull 2022; 48:967-980. [PMID: 35674151 PMCID: PMC9434424 DOI: 10.1093/schbul/sbac049] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia has been robustly associated with multiple genetic and environmental risk factors. Childhood adversity is one of the most widely replicated environmental risk factors for schizophrenia, but it is unclear if schizophrenia genetic risk alleles contribute to this association. STUDY DESIGN In this systematic review and meta-analysis, we assessed the evidence for gene-environment correlation (genes influence likelihood of environmental exposure) between schizophrenia polygenic risk score (PRS) and reported childhood adversity. We also assessed the evidence for a gene-environment interaction (genes influence sensitivity to environmental exposure) in relation to the outcome of schizophrenia and/or psychosis. This study was registered on PROSPERO (CRD42020182812). Following PRISMA guidelines, a search for relevant literature was conducted using Cochrane, MEDLINE, PsycINFO, Web of Science, and Scopus databases until February 2022. All studies that examined the association between schizophrenia PRS and childhood adversity were included. STUDY RESULTS Seventeen of 650 identified studies met the inclusion criteria and were assessed against the Newcastle-Ottawa Scale for quality. The meta-analysis found evidence for gene-environment correlation between schizophrenia PRS and childhood adversity (r = .02; 95% CI = 0.01, 0.03; P = .001), but the effect was small and therefore likely to explain only a small proportion of the association between childhood adversity and psychosis. The 4 studies that investigated a gene-environment interaction between schizophrenia PRS and childhood adversity in increasing risk of psychosis reported inconsistent results. CONCLUSIONS These findings suggest that a gene-environment correlation could explain a small proportion of the relationship between reported childhood adversity and psychosis.
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Affiliation(s)
- Grace E Woolway
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Sophie E Smart
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Amy J Lynham
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Jennifer L Lloyd
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Ian R Jones
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - James T R Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Sophie E Legge
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
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14
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Feurer C, McGeary JE, Brick LA, Knopik VS, Carper MM, Palmer RHC, Gibb BE. Associations between depression-relevant genetic risk and youth stress exposure: Evidence of gene-environment correlations. JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE 2022; 131:457-466. [PMID: 35467896 PMCID: PMC9262038 DOI: 10.1037/abn0000757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Familial risk for depression is associated with youth exposure to self-generated dependent stressful life events and independent events that are out of youth's control. Familial risk includes both genetic and environmental influences, raising the question of whether genetic influences, specifically, are associated with youth exposure to both dependent and independent stressful life events. To address this question, this study examined the relation between a genome-wide association study (GWAS)-derived depression-based polygenic risk score (DEP-PRS) and youth experiences of dependent and independent stress. Participants were 180 youth (ages 8 to 14, 52.2% female) of European ancestry and their biological mothers recruited based on the presence versus absence of a history of major depressive disorder (MDD) in the mothers. Youth and mothers were interviewed every 6 months for 2 years regarding the occurrence of stressful life events, which were coded as independent or dependent (self-generated). Results indicated that youth's DEP-PRS and maternal history of MDD were uniquely associated with increased exposure to both dependent and independent events. Similar results were observed when examining major versus minor events separately, with the additional finding of a DEP-PRS × mother MDD interaction for major dependent events such that levels of moderate to severe dependent life stressors were highest among youth with high DEP-PRSs who also had mothers with MDD. These results not only support the presence of depression-relevant gene-environment correlations (rGEs), but also highlight the possibility that rather than only capturing depression-specific genetic liability, GWAS-derived polygenic risk scores may also capture genetic variance contributing to stress exposure. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Cope Feurer
- Department of Psychiatry, University of Illinois at Chicago
| | - John E. McGeary
- Providence Veterans Affair Medical Center
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University
| | - Leslie A. Brick
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University
| | | | - Matthew M. Carper
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University
| | - Rohan H. C. Palmer
- Behavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University
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15
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Marchi M, Elkrief L, Alkema A, van Gastel W, Schubart CD, van Eijk KR, Luykx JJ, Branje S, Mastrotheodoros S, Galeazzi GM, van Os J, Cecil CA, Conrod PJ, Boks MP. Childhood maltreatment mediates the effect of the genetic background on psychosis risk in young adults. Transl Psychiatry 2022; 12:219. [PMID: 35650188 PMCID: PMC9160238 DOI: 10.1038/s41398-022-01975-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 04/29/2022] [Accepted: 05/10/2022] [Indexed: 11/09/2022] Open
Abstract
Childhood maltreatment (CM) and genetic vulnerability are both risk factors for psychosis, but the relations between them are not fully understood. Guided by the recent identification of genetic risk to CM, this study investigates the hypothesis that genetic risk to schizophrenia also increases the risk of CM and thus impacts psychosis risk. The relationship between schizophrenia polygenetic risk, CM, and psychotic-like experiences (PLE) was investigated in participants from the Utrecht Cannabis Cohort (N = 1262) and replicated in the independent IMAGEN cohort (N = 1740). Schizophrenia polygenic risk score (SZ-PRS) were calculated from the most recent GWAS. The relationship between CM, PRS, and PLE was first investigated using multivariate linear regression. Next, mediation of CM in the pathway linking SZ-PRS and PLE was examined by structural equation modeling, while adjusting for a set of potential mediators including cannabis use, smoking, and neuroticism. In agreement with previous studies, PLE were strongly associated with SZ-PRS (B = 0.190, p = 0.009) and CM (B = 0.575, p < 0.001). Novel was that CM was also significantly associated with SZ-PRS (B = 0.171, p = 0.001), and substantially mediated the effects of SZ-PRS on PLE (proportion mediated = 29.9%, p = 0.001). In the replication cohort, the analyses yielded similar results, confirming equally strong mediation by CM (proportion mediated = 34.7%, p = 0.009). Our results suggest that CM acts as a mediator in the causal pathway linking SZ-PRS and psychosis risk. These findings open new perspectives on the relations between genetic and environmental risks and warrant further studies into potential interventions to reduce psychosis risk in vulnerable people.
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Affiliation(s)
- Mattia Marchi
- grid.7548.e0000000121697570Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi, 287 – 41125 Modena, Italy ,grid.5477.10000000120346234Department of Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Laurent Elkrief
- grid.14848.310000 0001 2292 3357Department of Psychiatry, Université de Montréal, CHU Sainte-Justine Hospital, Montréal, QC Canada ,grid.411418.90000 0001 2173 6322Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC Canada
| | - Anne Alkema
- grid.5477.10000000120346234Department of Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Willemijn van Gastel
- grid.5477.10000000120346234Department of Psychology, Utrecht University, Utrecht, The Netherlands
| | - Chris D. Schubart
- grid.413202.60000 0004 0626 2490Department of Psychiatry, Tergooi Hospital, Blaricum, The Netherlands
| | - Kristel R. van Eijk
- grid.5477.10000000120346234Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Jurjen J. Luykx
- grid.5477.10000000120346234Department of Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Susan Branje
- grid.5477.10000000120346234Department of Youth and Family, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, The Netherlands
| | - Stefanos Mastrotheodoros
- grid.5477.10000000120346234Department of Youth and Family, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, The Netherlands ,grid.8127.c0000 0004 0576 3437Department of Psychology, University of Crete, Rethymno, Greece
| | - Gian M. Galeazzi
- grid.7548.e0000000121697570Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi, 287 – 41125 Modena, Italy ,Department of Mental Health and Addiction Services, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Jim van Os
- grid.5477.10000000120346234Department of Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Charlotte A. Cecil
- grid.5645.2000000040459992XDepartment of Child and Adolescent Psychiatry, Erasmus Medical Center, Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Patricia J. Conrod
- grid.14848.310000 0001 2292 3357Department of Psychiatry, Université de Montréal, CHU Sainte-Justine Hospital, Montréal, QC Canada ,grid.411418.90000 0001 2173 6322Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC Canada
| | - Marco P. Boks
- grid.5477.10000000120346234Department of Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
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16
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Marshall H, Mullany S, Han X, Berry EC, Hassall MM, Qassim A, Nguyen T, Hollitt GL, Knight LS, Ridge B, Schmidt J, Crowley C, Schulz A, Mills RA, Agar A, Galanopoulos A, Landers J, Healey PR, Graham SL, Hewitt AW, Casson RJ, MacGregor S, Siggs OM, Craig JE. Genetic Risk of Cardiovascular Disease Is Associated with Macular Ganglion Cell-Inner Plexiform Layer Thinning in an Early Glaucoma Cohort. OPHTHALMOLOGY SCIENCE 2022; 2:100108. [PMID: 36246177 PMCID: PMC9559075 DOI: 10.1016/j.xops.2021.100108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/05/2021] [Accepted: 12/16/2021] [Indexed: 06/16/2023]
Abstract
PURPOSE To evaluate the association between genetic risk for cardiovascular disease and retinal thinning in early glaucoma. DESIGN Prospective, observational genetic association study. PARTICIPANTS Multicohort study combining a cohort of patients with suspect and early manifest primary open-angle glaucoma (POAG), a cohort of patients with perimetric POAG, and an external normative control cohort. METHODS A cardiovascular disease genetic risk score was calculated for 828 participants from the Progression Risk of Glaucoma: Relevant SNPs [single nucleotide polymorphisms] with Significant Association (PROGRESSA) study. Participants were characterized as showing either predominantly macular ganglion cell-inner plexiform layer (GCIPL), predominantly peripapillary retinal nerve fiber layer (pRNFL) or equivalent macular GCIPL and pRNFL spectral-domain OCT thinning. The cardiovascular disease genetic risk scores for these groups were compared to an internal reference group of stable suspected glaucoma and of an external normative population. Replication was undertaken by comparing the phenotypes of participants from the Australia New Zealand Registry of Advanced Glaucoma (ANZRAG) with the normative control group. MAIN OUTCOME MEASURES Spectral-domain OCT and Humphrey Visual Field (HVF) change. RESULTS After accounting for age, sex, and intraocular pressure (IOP), participants with predominantly macular GCIPL thinning showed a higher cardiovascular disease genetic risk score than reference participants (odds ratio [OR], 1.76/standard deviation [SD]; 95% confidence interval [CI], 1.18-2.62; P = 0.005) and than normative participants (OR, 1.32/SD; 95% CI, 1.12-1.54; P = 0.002). This finding was replicated by comparing ANZRAG participants with predominantly macular GCIPL change with the normative population (OR, 1.39/SD; 95% CI, 1.05-1.83; P = 0.022). Review of HVF data identified that participants with paracentral visual field defects also demonstrated a higher cardiovascular disease genetic risk score than reference participants (OR, 1.85/SD; 95% CI, 1.16-2.97; P = 0.010). Participants with predominantly macular GCIPL thinning exhibited a higher vertical cup-to-disc ratio genetic risk score (OR, 1.48/SD; 95% CI, 1.24-1.76; P < 0.001), but an IOP genetic risk score (OR, 1.12/SD; 95% CI, 0.95-1.33; P = 0.179) comparable with that of the normative population. CONCLUSIONS This study highlighted the relationship between cardiovascular disease and retinal thinning in suspect and manifest glaucoma cases.
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Key Words
- ANOVA, analysis of variance
- ANZRAG, Australia New Zealand Registry of Advanced Glaucoma
- CI, confidence interval
- Cardiovascular disease
- DDLS, Disc Damage Likelihood Scale
- GCIPL, ganglion cell–inner plexiform layer
- Glaucoma
- HVF, Humphrey Visual Field
- IOP, intraocular pressure
- Macular GCIPL
- OR, odds ratio
- POAG, primary open-angle glaucoma
- PROGRESSA, Progression Risk of Glaucoma: Relevant SNPs with Significant Association
- Paracentral visual field
- Retinal thinning
- SNP, single nucleotide polymorphism
- VCDR, vertical cup-to-disc ratio
- pRNFL, peripapillary retinal nerve fiber layer
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Affiliation(s)
- Henry Marshall
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Sean Mullany
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Xikun Han
- Statistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia
| | - Ella C. Berry
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Mark M. Hassall
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Ayub Qassim
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Thi Nguyen
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Georgina L. Hollitt
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Lachlan S.W. Knight
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Bronwyn Ridge
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Joshua Schmidt
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Caroline Crowley
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Angela Schulz
- Faculty of Health and Medical Sciences, Macquarie University, Sydney, Australia
| | - Richard A. Mills
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Ashish Agar
- Department of Ophthalmology, University of New South Wales, Sydney, Australia
| | - Anna Galanopoulos
- Discipline of Ophthalmology and Visual Sciences, University of Adelaide, Adelaide, Australia
| | - John Landers
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
| | - Paul R. Healey
- Centre for Vision Research, University of Sydney, Sydney, Australia
| | - Stuart L. Graham
- Department of Ophthalmology, University of New South Wales, Sydney, Australia
| | - Alex W. Hewitt
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Robert J. Casson
- Discipline of Ophthalmology and Visual Sciences, University of Adelaide, Adelaide, Australia
| | - Stuart MacGregor
- Statistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia
| | - Owen M. Siggs
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
- Garvan Institute of Medical Research, Sydney, Australia
| | - Jamie E. Craig
- Department of Ophthalmology, Flinders Health and Medical Research Institute, Flinders University, Adelaide, Australia
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Pingault JB, Richmond R, Davey Smith G. Causal Inference with Genetic Data: Past, Present, and Future. Cold Spring Harb Perspect Med 2022; 12:a041271. [PMID: 34580080 PMCID: PMC8886738 DOI: 10.1101/cshperspect.a041271] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The set of methods discussed in this collection has emerged from the convergence of two scientific fields-genetics and causal inference. In this introduction, we discuss relevant aspects of each field and show how their convergence arises from the natural experiments that genetics offer. We present introductory concepts useful to readers unfamiliar with genetically informed methods for causal inference. We conclude that existing applications and foreseeable developments should ensure that we rapidly reap the rewards of this relatively new field, not only in terms of our understanding of human disease and development, but also in terms of tangible translational applications.
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Affiliation(s)
- Jean-Baptiste Pingault
- Division of Psychology and Language Sciences, University College London, London WC1H 0AP United Kingdom
| | - Rebecca Richmond
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1TH, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1TH, United Kingdom
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18
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Kandaswamy R, Allegrini A, Nancarrow AF, Cave SN, Plomin R, von Stumm S. Predicting Alcohol Use From Genome-Wide Polygenic Scores, Environmental Factors, and Their Interactions in Young Adulthood. Psychosom Med 2022; 84:244-250. [PMID: 34469941 DOI: 10.1097/psy.0000000000001005] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Alcohol use during emerging adulthood is associated with adverse life outcomes, but its risk factors are not well known. Here, we predicted alcohol use in 3153 young adults aged 22 years from a) genome-wide polygenic scores (GPS) based on genome-wide association studies for the target phenotypes number of drinks per week and Alcohol Use Disorders Identification Test scores, b) 30 environmental factors, and c) their interactions (i.e., G × E effects). METHODS Data were collected from 1994 to 2018 as a part of the UK Twins Early Development Study. RESULTS GPS accounted for up to 1.9% of the variance in alcohol use (i.e., Alcohol Use Disorders Identification Test score), whereas the 30 measures of environmental factors together accounted for 21.1%. The 30 GPS by environment interactions did not explain any additional variance, and none of the interaction terms exceeded the significance threshold after correcting for multiple testing. CONCLUSIONS GPS and some environmental factors significantly predicted alcohol use in young adulthood, but we observed no GPS by environment interactions in our study.
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Affiliation(s)
- Radhika Kandaswamy
- From the Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience (Kandaswamy, Allegrini, Plomin), King's College London, London; Department of Education (Nancarrow, von Stumm), University of York, Heslington, York, United Kingdom; and School of Psychology (Cave), University of Nottingham, Nottingham, United Kingdom
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19
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Schizophrenia polygenic risk is associated with child mental health problems through early childhood adversity: evidence for a gene-environment correlation. Eur Child Adolesc Psychiatry 2022; 31:529-539. [PMID: 33635441 PMCID: PMC8940779 DOI: 10.1007/s00787-021-01727-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 01/16/2021] [Indexed: 12/22/2022]
Abstract
Previous studies have shown that schizophrenia polygenic risk predicts a multitude of mental health problems in the general population. Yet it is unclear by which mechanisms these associations arise. Here, we explored a possible gene-environment correlation in the association of schizophrenia polygenic risk with mental health problems via childhood adversity. This study was embedded in the population-based Generation R Study, including N = 1901 participants with genotyping for schizophrenia polygenic risk, maternal reporting of childhood adversity, and Child Behaviour Checklist measurement of mental health problems. Independent replication was attempted in the Avon Longitudinal Study of Parents and Children (ALSPAC; N = 3641). Associations were analysed with Poisson regression and statistical mediation analysis. Higher burden of schizophrenia polygenic risk was associated with greater exposure to childhood adversity (P-value threshold < 0.5: Generation R Study, OR = 1.08, 95%CI 1.02-1.15, P = 0.01; ALSPAC, OR = 1.02, 95%CI 1.01-1.03, P < 0.01). Childhood adversities partly explained the relationship of schizophrenia polygenic risk with emotional, attention, and thought problems (proportion explained, range 5-23%). Direct effects of schizophrenia polygenic risk and adversity on mental health outcomes were also observed. In summary, genetic liability to schizophrenia increased the risk for mental health problems in the general paediatric population through childhood adversity. Although this finding could result from a mediated causal relationship between genotype and mental health, we argue that these observations most likely reflect a gene-environment correlation, i.e. adversities are a marker for the genetic risk that parents transmit to children. These and similar recent findings raise important conceptual questions about preventative interventions aimed at reducing childhood adversities.
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20
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Ferber SG, Braun K, Weller A. The roots of paternal depression: Experienced and nonexperienced trauma or Folie a Deux? Dev Psychobiol 2021; 63:e22197. [PMID: 34674247 DOI: 10.1002/dev.22197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 08/19/2021] [Accepted: 08/30/2021] [Indexed: 12/14/2022]
Abstract
The transition to fatherhood may be challenged with anxiety and trepidation. A high prevalence has been found for paternal depression and it is reactive to maternal depression. This review aims to address potential sources of paternal depression, which may have adverse consequences on child development. We describe through three hypotheses how fathers may be at risk of depression during the transition to fatherhood: (1) psychological (interacting with ecological systems); (2) brain functional∖structural changes; and (3) (epi)genomic. We propose that paternal stressful experiences during the transition to fatherhood may be the source for paternal depression through direct stressful paternal experiences or via (potential, currently debated) nonexperienced (by the father) epigenomic transgenerational transmission. On the other hand, we suggest that resilient fathers may undergo a transient dysphoric period affected by identifying with the newborn's vulnerability as well as with the mother's postpartum vulnerability resulting in "paternity blues." In accordance with recent views on paternal "heightened sensitivity" toward the infant, we propose that the identification of both parents with the vulnerability of the newborn creates a sensitive period of Folie a Deux (shared madness) which may be a healthy transient, albeit a quasi-pathological period, recruited by the orienting response of the newborn for survival.
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Affiliation(s)
- Sari Goldstein Ferber
- Department of Psychology and the Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel
| | - Katharina Braun
- Department of Zoology and Developmental Neurobiology, Otto von Guericke University Magdeburg, Magdeburg, Germany.,Center for Behavioral and Brain Science, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Aron Weller
- Department of Psychology and the Gonda Brain Research Center, Bar Ilan University, Ramat Gan, Israel
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21
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Jangmo A, Brikell I, Kuja‐Halkola R, Feldman I, Lundström S, Almqvist C, Bulik CM, Larsson H. The association between polygenic scores for attention‐deficit/hyperactivity disorder and school performance: The role of attention‐deficit/hyperactivity disorder symptoms, polygenic scores for educational attainment, and shared familial factors. JCPP ADVANCES 2021. [DOI: 10.1002/jcv2.12030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Affiliation(s)
- Andreas Jangmo
- Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden
| | - Isabell Brikell
- Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden
- Department of Economics and Business Economics National Centre for Register‐Based Research Aarhus University Aarhus Denmark
| | - Ralf Kuja‐Halkola
- Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden
| | - Inna Feldman
- Department of Public Health and Caring Sciences Uppsala University Uppsala Sweden
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Sweden
- Centre for Ethics Law and Mental Health (CELAM) Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Sweden
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden
- Astrid Lindgren Children's Hospital Karolinska University Hospital Stockholm Sweden
| | - Cynthia M. Bulik
- Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden
- Department of Psychiatry University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
- Department of Nutrition University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden
- School of Medical Sciences Örebro University Örebro Sweden
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22
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Abstract
Causation has multiple distinct meanings in genetics. One reason for this is meaning slippage between two concepts of the gene: Mendelian and molecular. Another reason is that a variety of genetic methods address different kinds of causal relationships. Some genetic studies address causes of traits in individuals, which can only be assessed when single genes follow predictable inheritance patterns that reliably cause a trait. A second sense concerns the causes of trait differences within a population. Whereas some single genes can be said to cause population-level differences, most often these claims concern the effects of many genes. Polygenic traits can be understood using heritability estimates, which estimate the relative influences of genetic and environmental differences to trait differences within a population. Attempts to understand the molecular mechanisms underlying polygenic traits have been developed, although causal inference based on these results remains controversial. Genetic variation has also recently been leveraged as a randomizing factor to identify environmental causes of trait differences. This technique-Mendelian randomization-offers some solutions to traditional epidemiological challenges, although it is limited to the study of environments with known genetic influences.
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Affiliation(s)
- Kate E Lynch
- Department of Philosophy, The University of Sydney, Sydney, New South Wales 2006, Australia
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23
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Hicks BM, Clark DA, Deak JD, Schaefer JD, Liu M, Jang S, Durbin CE, Johnson W, Wilson S, Iacono WG, McGue M, Vrieze SI. Polygenic scores for smoking and educational attainment have independent influences on academic success and adjustment in adolescence and educational attainment in adulthood. PLoS One 2021; 16:e0255348. [PMID: 34403414 PMCID: PMC8370636 DOI: 10.1371/journal.pone.0255348] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 07/14/2021] [Indexed: 12/11/2022] Open
Abstract
Educational success is associated with greater quality of life and depends, in part, on heritable cognitive and non-cognitive traits. We used polygenic scores (PGS) for smoking and educational attainment to examine different genetic influences on facets of academic adjustment in adolescence and educational attainment in adulthood. PGSs were calculated for participants of the Minnesota Twin Family Study (N = 3225) and included as predictors of grades, academic motivation, and discipline problems at ages 11, 14, and 17 years-old, cigarettes per day from ages 14 to 24 years old, and educational attainment in adulthood (mean age 29.4 years). Smoking and educational attainment PGSs had significant incremental associations with each academic variable and cigarettes per day. About half of the adjusted effects of the smoking and education PGSs on educational attainment in adulthood were mediated by the academic variables in adolescence. Cigarettes per day from ages 14 to 24 years old did not account for the effect of the smoking PGS on educational attainment, suggesting the smoking PGS indexes genetic influences related to general behavioral disinhibition. In sum, distinct genetic influences measured by the smoking and educational attainment PGSs contribute to academic adjustment in adolescence and educational attainment in adulthood.
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Affiliation(s)
- Brian M. Hicks
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States of America
| | - D. Angus Clark
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States of America
| | - Joseph D. Deak
- Department of Psychiatry, Yale University, New Haven, Connecticut, United States of America
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, Connecticut, United States of America
| | - Jonathan D. Schaefer
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Mengzhen Liu
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Seonkyeong Jang
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - C. Emily Durbin
- Department of Psychology, Michigan State University, East Lansing, Michigan, United States of America
| | - Wendy Johnson
- Department of Psychology, University of Edinburgh, Edinburgh, Scotland
| | - Sylia Wilson
- Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - William G. Iacono
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Scott I. Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, United States of America
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24
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Guez A, Peyre H, Williams C, Labouret G, Ramus F. The epidemiology of cognitive development. Cognition 2021; 213:104690. [PMID: 33931198 DOI: 10.1016/j.cognition.2021.104690] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 03/12/2021] [Accepted: 03/17/2021] [Indexed: 12/26/2022]
Abstract
The epidemiology of cognitive development is an approach essentially based on large observational studies, which examines individual differences in cognitive abilities throughout childhood and their determinants. Although different in terms of methodology and main interests from developmental psychology, cognitive epidemiology offers complementary viewpoints on cognitive development and addresses fundamental research questions of interest to developmental psychologists. The present paper depicts the contributions of the epidemiological approach to the field of cognitive development and highlights the methodological advances that have made such contributions possible. We discuss the stability and developmental trajectories of cognitive functions, their main predictors, the complex interplay between environmental and genetic predictors, and the relationships between the different domains of cognition from birth to adulthood.
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Affiliation(s)
- Ava Guez
- Laboratoire de sciences cognitives et psycholinguistique, ENS, EHESS, PSL University, CNRS, Paris, France.
| | - Hugo Peyre
- Laboratoire de sciences cognitives et psycholinguistique, ENS, EHESS, PSL University, CNRS, Paris, France; Neurodiderot. INSERM UMR 1141, Paris Diderot University, Paris, France; Department of Child and Adolescent Psychiatry, Robert Debré Hospital, APHP, France
| | - Camille Williams
- Laboratoire de sciences cognitives et psycholinguistique, ENS, EHESS, PSL University, CNRS, Paris, France
| | - Ghislaine Labouret
- Laboratoire de sciences cognitives et psycholinguistique, ENS, EHESS, PSL University, CNRS, Paris, France
| | - Franck Ramus
- Laboratoire de sciences cognitives et psycholinguistique, ENS, EHESS, PSL University, CNRS, Paris, France.
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25
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Polygenic risk for autism, attention-deficit hyperactivity disorder, schizophrenia, major depressive disorder, and neuroticism is associated with the experience of childhood abuse. Mol Psychiatry 2021; 26:1696-1705. [PMID: 33483690 PMCID: PMC8164961 DOI: 10.1038/s41380-020-00996-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 12/04/2020] [Accepted: 12/09/2020] [Indexed: 01/30/2023]
Abstract
People who experience childhood abuse are at increased risk of mental illness. Twin studies suggest that inherited genetic risk for mental illness may account for some of these associations. Yet, the hypothesis that individuals who have experienced childhood abuse may carry genetic loading for mental illness has never been tested with genetic data. Using polygenic risk scores for six psychiatric disorders-attention-deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BPD), major depressive disorder (MDD), neuroticism, and schizophrenia-we tested whether genetic risk for mental illness was associated with increased risk of experiencing three types of childhood abuse: physical/emotional abuse, physical assault, and sexual abuse, in a cohort of white non-Hispanic women (n = 11,315). ADHD and MDD genetic risk scores were associated with a higher risk of experiencing each type of childhood abuse, while neuroticism, schizophrenia, BPD, and ASD genetic scores were associated with a higher risk of experiencing physical/emotional abuse and physical assault, but not sexual abuse. Sensitivity analyses examining potential bias from the differential recall of childhood trauma, parental socioeconomic status, and population stratification were consistent with the main findings. A one-standard-deviation increase in genetic risk for mental illness was associated with a modestly elevated risk of experiencing childhood abuse (OR range: 1.05-1.19). Therefore, inherited genetic risk may partly account for the association of childhood abuse with mental illness. In addition, future treatments for mental illness will benefit from taking into consideration the co-occurrence of childhood trauma and genetic loading.
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26
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von Stumm S, d'Apice K. From Genome-Wide to Environment-Wide: Capturing the Environome. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2021; 17:30-40. [PMID: 33645332 PMCID: PMC8785306 DOI: 10.1177/1745691620979803] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Genome-wide association (GWA) studies have shown that genetic influences on individual differences in affect, behavior, and cognition are driven by thousands of DNA variants, each with very small effect sizes. Here, we propose taking inspiration from GWA studies for understanding and modeling the influence of the environment on complex phenotypes. We argue that the availability of DNA microarrays in genetic research is comparable with the advent of digital technologies in psychological science that enable collecting rich, naturalistic observations in real time of the environome, akin to the genome. These data can capture many thousand environmental elements, which we speculate each influence individual differences in affect, behavior, and cognition with very small effect sizes, akin to findings from GWA studies about DNA variants. We outline how the principles and mechanisms of genetic influences on psychological traits can be applied to improve the understanding and models of the environome.
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27
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Armstrong‐Carter E, Wertz J, Domingue BW. Genetics and Child Development: Recent Advances and Their Implications for Developmental Research. CHILD DEVELOPMENT PERSPECTIVES 2021. [DOI: 10.1111/cdep.12400] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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28
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Perlstein S, Waller R. Integrating the study of personality and psychopathology in the context of gene-environment correlations across development. J Pers 2020; 90:47-60. [PMID: 33251591 DOI: 10.1111/jopy.12609] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 11/13/2020] [Accepted: 11/19/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE A key principle of individual differences research is that biological and environmental factors jointly influence personality and psychopathology. Genes and environments interact to influence the emergence and stability of both normal and abnormal behavior (i.e., genetic predisposition, X, is exacerbated or buffered under environmental conditions, Y, or vice versa), including by shaping the neural circuits underpinning behavior. The interplay of genes and environments is also reflected in various ways in which they are correlated (i.e., rGE). That is, the same genetic factors that give rise to personality or psychopathology also shape that person's environment. METHODS In this review, we outline passive, evocative, and active rGE processes and review the findings of studies that have addressed rGE in relation to understanding individual differences in personality and psychopathology across development. RESULTS Throughout, we evaluate the question of whether it is possible, not only to differentiate the person from their problems, but also to differentiate the person from their problems and their environment. CONCLUSIONS We provide recommendations for future research to model rGE and better inform our ability to study personality and psychopathology, while separating the influence of the environment.
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Affiliation(s)
- Samantha Perlstein
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - Rebecca Waller
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
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29
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Allegrini AG, Karhunen V, Coleman JRI, Selzam S, Rimfeld K, von Stumm S, Pingault JB, Plomin R. Multivariable G-E interplay in the prediction of educational achievement. PLoS Genet 2020; 16:e1009153. [PMID: 33201880 PMCID: PMC7721131 DOI: 10.1371/journal.pgen.1009153] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 12/07/2020] [Accepted: 09/15/2020] [Indexed: 12/21/2022] Open
Abstract
Polygenic scores are increasingly powerful predictors of educational achievement. It is unclear, however, how sets of polygenic scores, which partly capture environmental effects, perform jointly with sets of environmental measures, which are themselves heritable, in prediction models of educational achievement. Here, for the first time, we systematically investigate gene-environment correlation (rGE) and interaction (GxE) in the joint analysis of multiple genome-wide polygenic scores (GPS) and multiple environmental measures as they predict tested educational achievement (EA). We predict EA in a representative sample of 7,026 16-year-olds, with 20 GPS for psychiatric, cognitive and anthropometric traits, and 13 environments (including life events, home environment, and SES) measured earlier in life. Environmental and GPS predictors were modelled, separately and jointly, in penalized regression models with out-of-sample comparisons of prediction accuracy, considering the implications that their interplay had on model performance. Jointly modelling multiple GPS and environmental factors significantly improved prediction of EA, with cognitive-related GPS adding unique independent information beyond SES, home environment and life events. We found evidence for rGE underlying variation in EA (rGE = .38; 95% CIs = .30, .45). We estimated that 40% (95% CIs = 31%, 50%) of the polygenic scores effects on EA were mediated by environmental effects, and in turn that 18% (95% CIs = 12%, 25%) of environmental effects were accounted for by the polygenic model, indicating genetic confounding. Lastly, we did not find evidence that GxE effects significantly contributed to multivariable prediction. Our multivariable polygenic and environmental prediction model suggests widespread rGE and unsystematic GxE contributions to EA in adolescence. Our study investigates the complex interplay between genetic and environmental contributions underlying educational achievement (EA). Polygenic scores are becoming increasingly powerful predictors of EA. While emerging evidence indicates that polygenic scores are not pure measures of genetic predisposition, previous quantitative genetics findings indicate that measures of the environment are themselves heritable. In this regard it is unclear how such measures of individual predisposition jointly combine to predict EA. We investigate this question in a representative UK sample of 7,026 16-year-olds where we provide substantive results on gene-environment correlation and interaction underlying variation in EA. We show that polygenic score and environmental prediction models of EA overlap substantially. Polygenic scores effects on EA are partly accounted for by their correlation with environmental effects; similarly, environmental effects on EA are linked to polygenic scores effects. Nonetheless, jointly considering polygenic scores and measured environments significantly improves prediction of EA. We also find that, although correlation between polygenic scores and measured environments is substantial, interactions between them do not play a significant role in the prediction of EA. Our findings have relevance for genomic and environmental prediction models alike, as they show the way in which individuals’ genetic predispositions and environmental effects are intertwined. This suggests that both genetic and environmental effects must be taken into account in prediction models of complex behavioral traits such as EA.
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Affiliation(s)
- Andrea G. Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, United Kingdom
- * E-mail:
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
| | - Jonathan R. I. Coleman
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, United Kingdom
- NIHR Maudsley Biomedical Research Centre, King's College London, United Kingdom
| | - Saskia Selzam
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, United Kingdom
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, United Kingdom
| | | | - Jean-Baptiste Pingault
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, United Kingdom
- Division of Psychology and Language Sciences, University College London, United Kingdom
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, United Kingdom
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30
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Quinn PD, Meier SM, D'Onofrio BM. Need to Account for Familial Confounding in Systematic Review and Meta-analysis of Prenatal Tobacco Smoke Exposure and Schizophrenia. Nicotine Tob Res 2020; 22:1928-1929. [PMID: 32239148 DOI: 10.1093/ntr/ntaa058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Accepted: 03/31/2020] [Indexed: 11/13/2022]
Affiliation(s)
- Patrick D Quinn
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, IN
| | - Sandra M Meier
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Brian M D'Onofrio
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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31
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Das A. Women's greater late-life depression: Traumatic experiences or GxE? ADVANCES IN LIFE COURSE RESEARCH 2020; 45:100341. [PMID: 36698275 DOI: 10.1016/j.alcr.2020.100341] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Revised: 06/26/2019] [Accepted: 04/20/2020] [Indexed: 06/17/2023]
Abstract
OBJECTIVES This study examined the role of traumatic life experiences, and their interaction with genetic risk, in explaining gender differences in late life depression. METHODS Data were from the 2008-through-2014 waves of the Health and Retirement Study, nationally representative of U.S. adults over age 50. Analysis was restricted to white participants. Newly available polygenic risk scores indexed genetic propensity for depression. Linear growth models examined gender effects on depression, as well as their mediation by environmental and genetic risk. RESULTS Across-person results suggested greater depression among older white women than men. No disparities were found in within-person change. Women also did not have more traumatic life experiences. Nor did the few factors they reported more than men influence depression, or mediate the gender difference in this outcome. The sole exception was childhood parental physical abuse. This early experience mediated about a quarter of the gender disparity-but only at mean or high genetic vulnerability. In contrast, adulthood traumas common among women interacted negatively with polygenic risk-such that they mediated the gender effect only at low levels of the latter. DISCUSSION Traumatic life experiences and their genetic interactions appear to have minimal utility in explaining women's greater depression-at least among white older adults. Careful work is needed on the extent to which these factors underlie other social disparities in mental health.
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Affiliation(s)
- Aniruddha Das
- Department of Sociology, McGill University, Montreal, Quebec, H3A 2T7, Canada.
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32
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Wertz J, Moffitt TE, Agnew‐Blais J, Arseneault L, Belsky DW, Corcoran DL, Houts R, Matthews T, Prinz JA, Richmond‐Rakerd LS, Sugden K, Williams B, Caspi A. Using DNA From Mothers and Children to Study Parental Investment in Children's Educational Attainment. Child Dev 2020; 91:1745-1761. [PMID: 31657015 PMCID: PMC7183873 DOI: 10.1111/cdev.13329] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
This study tested implications of new genetic discoveries for understanding the association between parental investment and children's educational attainment. A novel design matched genetic data from 860 British mothers and their children with home-visit measures of parenting: the E-Risk Study. Three findings emerged. First, both mothers' and children's education-associated genetics, summarized in a genome-wide polygenic score, were associated with parenting-a gene-environment correlation. Second, accounting for genetic influences slightly reduced associations between parenting and children's attainment-indicating some genetic confounding. Third, mothers' genetics were associated with children's attainment over and above children's own genetics, via cognitively stimulating parenting-an environmentally mediated effect. Findings imply that, when interpreting parents' effects on children, environmentalists must consider genetic transmission, but geneticists must also consider environmental transmission.
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33
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Albert WD, Hanson JL, Skinner AT, Dodge KA, Steinberg L, Deater-Deckard K, Bornstein MH, Lansford JE. Individual differences in executive function partially explain the socioeconomic gradient in middle-school academic achievement. Dev Sci 2020; 23:e12937. [PMID: 31912610 DOI: 10.1111/desc.12937] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 08/12/2019] [Accepted: 12/03/2019] [Indexed: 11/30/2022]
Abstract
Children from families with low socioeconomic status (SES) earn lower grades, perform worse on achievement tests, and attain less education on average than their peers from higher-SES families. We evaluated neurocognitive mediators of SES disparities in achievement in a diverse sample of youth whose data were linked to administrative records of performance on school-administered tests of 7th grade reading and math proficiency (N = 203). We used structural equation modeling to evaluate whether associations between SES (measured at ages 8-9) and achievement (measured at age 13) are mediated by verbal ability and executive function (measured at age 10), a suite of top-down mental processes that facilitate control of thinking and behavior. Children from relatively higher-SES families performed better than their lower-SES peers on all neurocognitive and achievement measures, and SES disparities in both reading and math achievement were partially mediated by variation in executive function, but not verbal ability. SES disparities in executive function explained approximately 37% of the SES gap in math achievement and 17% of the SES gap in reading achievement. Exploratory modeling suggests that SES-related variation in working memory may play a particularly prominent role in mediation. We discuss potential implications of these findings for research, intervention programming, and classroom practice.
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Affiliation(s)
| | | | - Ann T Skinner
- Center for Child and Family Policy, Duke University, Durham, NC, USA
| | - Kenneth A Dodge
- Center for Child and Family Policy, Duke University, Durham, NC, USA
| | | | | | - Marc H Bornstein
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.,Institute for Fiscal Studies, London, UK
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34
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Hollander JA, Cory-Slechta DA, Jacka FN, Szabo ST, Guilarte TR, Bilbo SD, Mattingly CJ, Moy SS, Haroon E, Hornig M, Levin ED, Pletnikov MV, Zehr JL, McAllister KA, Dzierlenga AL, Garton AE, Lawler CP, Ladd-Acosta C. Beyond the looking glass: recent advances in understanding the impact of environmental exposures on neuropsychiatric disease. Neuropsychopharmacology 2020; 45:1086-1096. [PMID: 32109936 PMCID: PMC7234981 DOI: 10.1038/s41386-020-0648-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 02/17/2020] [Indexed: 12/22/2022]
Abstract
The etiologic pathways leading to neuropsychiatric diseases remain poorly defined. As genomic technologies have advanced over the past several decades, considerable progress has been made linking neuropsychiatric disorders to genetic underpinnings. Interest and consideration of nongenetic risk factors (e.g., lead exposure and schizophrenia) have, in contrast, lagged behind heritable frameworks of explanation. Thus, the association of neuropsychiatric illness to environmental chemical exposure, and their potential interactions with genetic susceptibility, are largely unexplored. In this review, we describe emerging approaches for considering the impact of chemical risk factors acting alone and in concert with genetic risk, and point to the potential role of epigenetics in mediating exposure effects on transcription of genes implicated in mental disorders. We highlight recent examples of research in nongenetic risk factors in psychiatric disorders that point to potential shared biological mechanisms-synaptic dysfunction, immune alterations, and gut-brain interactions. We outline new tools and resources that can be harnessed for the study of environmental factors in psychiatric disorders. These tools, combined with emerging experimental evidence, suggest that there is a need to broadly incorporate environmental exposures in psychiatric research, with the ultimate goal of identifying modifiable risk factors and informing new treatment strategies for neuropsychiatric disease.
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Affiliation(s)
- Jonathan A Hollander
- Genes, Environment and Health Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA.
| | - Deborah A Cory-Slechta
- Department of Environmental Medicine, Box EHSC, University of Rochester Medical Center, Rochester, NY, USA
| | - Felice N Jacka
- Food & Mood Centre, IMPACT SRC, School of Medicine, Deakin University, Geelong, VIC, Australia
- iMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, Deakin University, Geelong, VIC, Australia
- Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Black Dog Institute, Sydney, NSW, Australia
- James Cook University, Townsville, QLD, Australia
| | - Steven T Szabo
- Duke University Medical Center, Durham, NC, USA
- Durham Veterans Affairs Medical Center, Durham, NC, USA
| | - Tomás R Guilarte
- Department of Environmental Health Sciences Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
| | - Staci D Bilbo
- Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Carolyn J Mattingly
- Department of Biological Sciences, Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
| | - Sheryl S Moy
- Department of Psychiatry and Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ebrahim Haroon
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Mady Hornig
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Edward D Levin
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Mikhail V Pletnikov
- Departments of Psychiatry, Neuroscience, Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Julia L Zehr
- Developmental Mechanisms and Trajectories of Psychopathology Branch, National Institute of Mental Health, NIH, Rockville, MD, USA
| | - Kimberly A McAllister
- Genes, Environment and Health Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Anika L Dzierlenga
- Genes, Environment and Health Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Amanda E Garton
- Genes, Environment and Health Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Cindy P Lawler
- Genes, Environment and Health Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology and Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Baltimore, MD, USA
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Cheesman R, Hunjan A, Coleman JRI, Ahmadzadeh Y, Plomin R, McAdams TA, Eley TC, Breen G. Comparison of Adopted and Nonadopted Individuals Reveals Gene-Environment Interplay for Education in the UK Biobank. Psychol Sci 2020. [PMID: 32302253 DOI: 10.1101/707695] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023] Open
Abstract
Polygenic scores now explain approximately 10% of the variation in educational attainment. However, they capture not only genetic propensity but also information about the family environment. This is because of passive gene-environment correlation, whereby the correlation between offspring and parent genotypes results in an association between offspring genotypes and the rearing environment. We measured passive gene-environment correlation using information on 6,311 adoptees in the UK Biobank. Adoptees' genotypes were less correlated with their rearing environments because they did not share genes with their adoptive parents. We found that polygenic scores were twice as predictive of years of education in nonadopted individuals compared with adoptees (R2s = .074 vs. .037, p = 8.23 × 10-24). Individuals in the lowest decile of polygenic scores for education attained significantly more education if they were adopted, possibly because of educationally supportive adoptive environments. Overall, these results suggest that genetic influences on education are mediated via the home environment.
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Affiliation(s)
- Rosa Cheesman
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | - Avina Hunjan
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
- National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley National Health Service (NHS) Trust, London, United Kingdom
| | - Jonathan R I Coleman
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
- National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley National Health Service (NHS) Trust, London, United Kingdom
| | - Yasmin Ahmadzadeh
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | - Robert Plomin
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | - Tom A McAdams
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | - Thalia C Eley
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
- National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley National Health Service (NHS) Trust, London, United Kingdom
| | - Gerome Breen
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
- National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley National Health Service (NHS) Trust, London, United Kingdom
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Abstract
OBJECTIVES Using dyadic genetic information on older couples, this study queried associations of a polygenic score for well-being with one's own as well as a partner's relationship experiences. METHOD Data were from the 2010 wave of the U.S. Health and Retirement Study. Analysis was through structural equation modeling. RESULTS Especially among women, the genetic score was associated with individuals' own relationship experiences. Genetic externalities-linkages of one's genes with a partner's experiences-were also observed. No significant gender variations emerged. DISCUSSION Contrary to conceptions implicit in much of existing genetics literature-which focuses on individuals' own gene-trait associations-the interpersonal environments most crucial to life course and health outcomes are shaped by the genes of all involved actors. Genetic externalities are a central component. Implications for the life course and gene-environment literatures are discussed.
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Affiliation(s)
- Aniruddha Das
- Department of Sociology, 5620McGill University, Montreal, Quebec, Canada
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Cheesman R, Hunjan A, Coleman JRI, Ahmadzadeh Y, Plomin R, McAdams TA, Eley TC, Breen G. Comparison of Adopted and Nonadopted Individuals Reveals Gene-Environment Interplay for Education in the UK Biobank. Psychol Sci 2020; 31:582-591. [PMID: 32302253 PMCID: PMC7238511 DOI: 10.1177/0956797620904450] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Polygenic scores now explain approximately 10% of the variation in educational
attainment. However, they capture not only genetic propensity but also
information about the family environment. This is because of passive
gene–environment correlation, whereby the correlation between offspring and
parent genotypes results in an association between offspring genotypes and the
rearing environment. We measured passive gene–environment correlation using
information on 6,311 adoptees in the UK Biobank. Adoptees’ genotypes were less
correlated with their rearing environments because they did not share genes with
their adoptive parents. We found that polygenic scores were twice as predictive
of years of education in nonadopted individuals compared with adoptees
(R2s = .074 vs. .037, p = 8.23
× 10−24). Individuals in the lowest decile of polygenic scores for
education attained significantly more education if they were adopted, possibly
because of educationally supportive adoptive environments. Overall, these
results suggest that genetic influences on education are mediated via the home
environment.
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Affiliation(s)
- Rosa Cheesman
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | - Avina Hunjan
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London.,National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley National Health Service (NHS) Trust, London, United Kingdom
| | - Jonathan R I Coleman
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London.,National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley National Health Service (NHS) Trust, London, United Kingdom
| | - Yasmin Ahmadzadeh
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | - Robert Plomin
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | - Tom A McAdams
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London
| | - Thalia C Eley
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London.,National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley National Health Service (NHS) Trust, London, United Kingdom
| | - Gerome Breen
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London.,National Institute for Health Research (NIHR) Biomedical Research Centre for Mental Health, South London and Maudsley National Health Service (NHS) Trust, London, United Kingdom
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Ensink JBM, de Moor MHM, Zafarmand MH, de Laat S, Uitterlinden A, Vrijkotte TGM, Lindauer R, Middeldorp CM. Maternal environmental risk factors and the development of internalizing and externalizing problems in childhood: The complex role of genetic factors. Am J Med Genet B Neuropsychiatr Genet 2020; 183:17-25. [PMID: 31444904 PMCID: PMC6916208 DOI: 10.1002/ajmg.b.32755] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 06/09/2019] [Accepted: 07/22/2019] [Indexed: 12/16/2022]
Abstract
The development of problem behavior in children is associated with exposure to environmental factors, including the maternal environment. Both are influenced by genetic factors, which may also be correlated, that is, environmental risk and problem behavior in children might be influenced by partly the same genetic factors. In addition, environmental and genetic factors could interact with each other increasing the risk of problem behavior in children. To date, limited research investigated these mechanisms in a genome-wide approach. Therefore, the goal of this study was to investigate the association between genetic risk for psychiatric and related traits, as indicated by polygenetic risk scores (PRSs), exposure to previously identified maternal risk factors, and problem behavior in a sample of 1,154 children from the Amsterdam Born Children and their Development study at ages 5-6 and 11-12 years old. The PRSs were derived from genome-wide association studies (GWASs) on schizophrenia, major depressive disorder, neuroticism, and wellbeing. Regression analysis showed that the PRSs were associated with exposure to multiple environmental risk factors, suggesting passive gene-environment correlation. In addition, the PRS based on the schizophrenia GWAS was associated with externalizing behavior problems in children at age 5-6. We did not find any association with problem behavior for the other PRSs. Our results indicate that genetic predispositions for psychiatric disorders and wellbeing are associated with early environmental risk factors for children's problem behavior.
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Affiliation(s)
- Judith B. M. Ensink
- Department of Child and Adolescent Psychiatry, Amsterdam Public Health Research InstituteAmsterdam UMC, Location Academic Medical Center, University of AmsterdamAmsterdamThe Netherlands
- Academic Center for Child and Adolescent PsychiatryDe BasculeAmsterdamThe Netherlands
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research InstituteAmsterdam UMC, Location Academic Medical Center, University of AmsterdamAmsterdamThe Netherlands
| | - Marleen H. M. de Moor
- Clinical Child and Family Studies, Amsterdam Public Health Research InstituteVU UniversityAmsterdamThe Netherlands
| | - Mohammad Hadi Zafarmand
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research InstituteAmsterdam UMC, Location Academic Medical Center, University of AmsterdamAmsterdamThe Netherlands
- Department of Public Health, Amsterdam Public Health Research InstituteAmsterdam UMC, Location Academic Medical Center, University of AmsterdamAmsterdamThe Netherlands
| | - Sanne de Laat
- Youth Health CareGGD Hart voor Brabant's‐HertogenboschThe Netherlands
- Tranzo, Tilburg School of Social and Behavioral SciencesTilburg UniversityTilburgThe Netherlands
| | - André Uitterlinden
- Department of EpidemiologyErasmus Medical CenterRotterdamThe Netherlands
| | - Tanja G. M. Vrijkotte
- Clinical Child and Family Studies, Amsterdam Public Health Research InstituteVU UniversityAmsterdamThe Netherlands
| | - Ramón Lindauer
- Department of Child and Adolescent Psychiatry, Amsterdam Public Health Research InstituteAmsterdam UMC, Location Academic Medical Center, University of AmsterdamAmsterdamThe Netherlands
- Academic Center for Child and Adolescent PsychiatryDe BasculeAmsterdamThe Netherlands
| | - Christel M. Middeldorp
- Child Health Research CentreUniversity of QueenslandBrisbaneQueenslandAustralia
- Child and Youth Mental Health ServiceChildren's Health Queensland Hospital and Health ServiceBrisbaneQueenslandAustralia
- Biological PsychologyVU UniversityAmsterdamThe Netherlands
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Newbury DF, Gibson JL, Conti-Ramsden G, Pickles A, Durkin K, Toseeb U. Using Polygenic Profiles to Predict Variation in Language and Psychosocial Outcomes in Early and Middle Childhood. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2019; 62:3381-3396. [PMID: 31425657 PMCID: PMC6808346 DOI: 10.1044/2019_jslhr-l-19-0001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 03/07/2019] [Accepted: 04/29/2019] [Indexed: 05/04/2023]
Abstract
Purpose Children with poor language tend to have worse psychosocial outcomes compared to their typically developing peers. The most common explanations for such adversities focus on developmental psychological processes whereby poor language triggers psychosocial difficulties. Here, we investigate the possibility of shared biological effects by considering whether the same genetic variants, which are thought to influence language development, are also predictors of elevated psychosocial difficulties during childhood. Method Using data from the U.K.-based Avon Longitudinal Study of Parents and Children, we created a number of multi-single-nucleotide polymorphism polygenic profile scores, based on language and reading candidate genes (ATP2C2, CMIP, CNTNAP2, DCDC2, FOXP2, and KIAA0319, 1,229 single-nucleotide polymorphisms) in a sample of 5,435 children. Results A polygenic profile score for expressive language (8 years) that was created in a discovery sample (n = 2,718) predicted not only expressive language (8 years) but also peer problems (11 years) in a replication sample (n = 2,717). Conclusions These findings provide a proof of concept for the use of such a polygenic approach in child language research when larger data sets become available. Our indicative findings suggest consideration should be given to concurrent intervention targeting both linguistic and psychosocial development as early language interventions may not stave off later psychosocial difficulties in children.
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Affiliation(s)
- Dianne F. Newbury
- Department of Biological and Medical Sciences, Headington Campus, Oxford Brookes University, United Kingdom
| | - Jenny L. Gibson
- Faculty of Education, University of Cambridge, United Kingdom
| | | | - Andrew Pickles
- Department of Biostatistics, Institute of Psychiatry, King's College London, United Kingdom
| | - Kevin Durkin
- School of Psychological Sciences, University of Strathclyde, United Kingdom
| | - Umar Toseeb
- Department of Education, Derwent College, University of York, United Kingdom
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Leppert B, Havdahl A, Riglin L, Jones HJ, Zheng J, Davey Smith G, Tilling K, Thapar A, Reichborn-Kjennerud T, Stergiakouli E. Association of Maternal Neurodevelopmental Risk Alleles With Early-Life Exposures. JAMA Psychiatry 2019; 76:834-842. [PMID: 31042271 PMCID: PMC6495368 DOI: 10.1001/jamapsychiatry.2019.0774] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 02/14/2019] [Indexed: 12/27/2022]
Abstract
Importance Early-life exposures, such as prenatal maternal lifestyle, illnesses, nutritional deficiencies, toxin levels, and adverse birth events, have long been considered potential risk factors for neurodevelopmental disorders in offspring. However, maternal genetic factors could be confounding the association between early-life exposures and neurodevelopmental outcomes in offspring, which makes inferring a causal relationship problematic. Objective To test whether maternal polygenic risk scores (PRSs) for neurodevelopmental disorders were associated with early-life exposures previously linked to the disorders. Design, Setting, and Participants In this UK population-based cohort study, 7921 mothers with genotype data from the Avon Longitudinal Study of Parents and Children (ALSPAC) underwent testing for association of maternal PRS for attention-deficit/hyperactivity disorder (ADHD PRS), autism spectrum disorder (ASD PRS), and schizophrenia (SCZ PRS) with 32 early-life exposures. ALSPAC data collection began September 6, 1990, and is ongoing. Data were analyzed for the current study from April 1 to September 1, 2018. Exposures Maternal ADHD PRS, ASD PRS, and SCZ PRS were calculated using discovery effect size estimates from the largest available genome-wide association study and a significance threshold of P < .05. Main Outcomes and Measures Outcomes measured included questionnaire data on maternal lifestyle and behavior (eg, smoking, alcohol consumption, body mass index, and maternal age), maternal use of nutritional supplements and medications in pregnancy (eg, acetaminophen, iron, zinc, folic acid, and vitamins), maternal illnesses (eg, diabetes, hypertension, rheumatism, psoriasis, and depression), and perinatal factors (eg, birth weight, preterm birth, and cesarean delivery). Results Maternal PRSs were available from 7921 mothers (mean [SD] age, 28.5 [4.8] years). The ADHD PRS was associated with multiple prenatal factors, including infections (odds ratio [OR], 1.11; 95% CI, 1.04-1.18), use of acetaminophen during late pregnancy (OR, 1.11; 95% CI, 1.04-1.18), lower blood levels of mercury (β coefficient, -0.06; 95% CI, -0.11 to -0.02), and higher blood levels of cadmium (β coefficient, 0.07; 95% CI, 0.05-0.09). Little evidence of associations between ASD PRS or SCZ PRS and prenatal factors or of association between any of the PRSs and adverse birth events was found. Sensitivity analyses revealed consistent results. Conclusions and Relevance These findings suggest that maternal risk alleles for neurodevelopmental disorders, primarily ADHD, are associated with some pregnancy-related exposures. These findings highlight the need to carefully account for potential genetic confounding and triangulate evidence from different approaches when assessing the effects of prenatal exposures on neurodevelopmental disorders in offspring.
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Affiliation(s)
- Beate Leppert
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Alexandra Havdahl
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- Nic Waals Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Lucy Riglin
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Hannah J. Jones
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research Biomedical Research Centre, University Hospitals Bristol NHS (National Health Service) Foundation Trust and the University of Bristol, Bristol, United Kingdom
| | - Jie Zheng
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - George Davey Smith
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Kate Tilling
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Anita Thapar
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Ted Reichborn-Kjennerud
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Evie Stergiakouli
- MRC (Medical Research Council) Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- School of Oral and Dental Sciences, University of Bristol, Bristol, United Kingdom
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Abstract
Causal inference is essential across the biomedical, behavioural and social sciences.By progressing from confounded statistical associations to evidence of causal relationships, causal inference can reveal complex pathways underlying traits and diseases and help to prioritize targets for intervention. Recent progress in genetic epidemiology - including statistical innovation, massive genotyped data sets and novel computational tools for deep data mining - has fostered the intense development of methods exploiting genetic data and relatedness to strengthen causal inference in observational research. In this Review, we describe how such genetically informed methods differ in their rationale, applicability and inherent limitations and outline how they should be integrated in the future to offer a rich causal inference toolbox.
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Abstract
Objectives: Findings on gene-environment correlations suggest childhood “environments” may reflect genetic liabilities. The independent psychosocial influence of childhood trauma is unclear. This study examined such effects on adulthood depressive symptoms. Methods: Data were from the Health and Retirement Study. Trauma items included childhood physical abuse and parental substance abuse. Multinomial logit models examined genetic effects on stable and unstable reports. Linear growth models tested associations of stable trauma responses, genes, and their interaction with current depressive symptoms. Results: Genetic risk predicted both stable and unstable trauma reports. With genes controlled, stable responses were associated with life course variations but not late life change in depression. The exception was women’s physical abuse, which moderated genetic effects but had no independent influence. Discussion: Apparent gene-trauma correlations may be driven by flawed retrospective reports. Research is needed to distinguish true from artifactual genetic effects on other environmental factors and establish psychosocial implications.
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Pasman JA, Verweij KJH, Vink JM. Systematic Review of Polygenic Gene-Environment Interaction in Tobacco, Alcohol, and Cannabis Use. Behav Genet 2019; 49:349-365. [PMID: 31111357 PMCID: PMC6554261 DOI: 10.1007/s10519-019-09958-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 05/05/2019] [Indexed: 01/03/2023]
Abstract
Studies testing the effect of single genetic variants on substance use have had modest success. This paper reviewed 39 studies using polygenic measures to test interaction with any type of environmental exposure (G×E) in alcohol, tobacco, and cannabis use. Studies using haplotype combinations, sum scores of candidate-gene risk alleles, and polygenic scores (PS) were included. Overall study quality was moderate, with lower ratings for the polygenic methods in the haplotype and candidate-gene score studies. Heterogeneity in investigated environmental exposures, genetic factors, and outcomes was substantial. Most studies (N = 30) reported at least one significant G×E interaction, but overall evidence was weak. The majority (N = 26) found results in line with differential susceptibility and diathesis-stress frameworks. Future studies should pay more attention to methodological and statistical rigor, and focus on replication efforts. Additional work is needed before firm conclusions can be drawn about the importance of G×E in the etiology of substance use.
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Affiliation(s)
- Joëlle A Pasman
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands.
| | - Karin J H Verweij
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
- Amsterdam UMC, Amsterdam, The Netherlands
| | - Jacqueline M Vink
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
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Das A. Major Discrimination Experiences, Education, and Genes. J Aging Health 2019; 32:753-763. [PMID: 31142169 DOI: 10.1177/0898264319851661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objectives: Rather than acting as a buffer, educational attainment has a known positive linkage with major experiences of lifetime discrimination. Recently established genetic roots of education, then, may also influence such reports. The current study examined these patterns. Methods: Data were from the 2010 wave of the Health and Retirement Study. Polygenic scores indexed one's genetic propensity for more education. Mediation analysis was through counterfactual methods. Results: Among Whites as well as Blacks, genetic antecedents of education also elevated discrimination reports. Part of this influence was channeled through education. At least among Whites, direct effects were also found. Discussion: Major discrimination experiences seem partly rooted in genes. Mechanisms are tentatively suggested. Direct genetic influences, in particular, indicate potential confounding of previously estimated linkages between discrimination and health or life course factors. Given the range of these prior results, and their implications for healthy aging, investigation of these possibilities is needed.
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Morioka H, Ijichi S, Ijichi N, Ijichi Y, King BH. Developmental social vulnerability as the intrinsic origin of psychopathology: A paradigm shift from disease entities to psychiatric derivatives within human diversity. Med Hypotheses 2019; 126:95-108. [DOI: 10.1016/j.mehy.2019.03.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 03/01/2019] [Accepted: 03/21/2019] [Indexed: 12/28/2022]
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Wertz J, Belsky J, Moffitt TE, Belsky DW, Harrington H, Avinun R, Poulton R, Ramrakha S, Caspi A. Genetics of nurture: A test of the hypothesis that parents' genetics predict their observed caregiving. Dev Psychol 2019; 55:1461-1472. [PMID: 30920238 DOI: 10.1037/dev0000709] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Twin studies have documented that parenting behavior is partly heritable, but it is unclear how parents' genetics shape their caregiving. Using tools of molecular genetics, the present study investigated this process by testing hypotheses about associations between a genome-wide polygenic score for educational attainment and parental caregiving in 702 members of the Dunedin Study, a population-representative birth cohort. Data have been prospectively collected from when Study members were born through to midlife, and include assessments of the caregiving they provided once they became parents. Results showed that parents' polygenic scores predicted warm, sensitive, and stimulating caregiving, both in personal interactions with their young children (as captured on video) and through the home environments they created for their families (as observed by home visitors). The magnitude of this effect was small. Polygenic-score associations were independent of well-established predictors of parenting, such as parents' own childhood experiences of parenting and the age at which they became parents. Polygenic-score associations were mediated by parents' early-emerging cognitive abilities and self-control skills. Findings have implications for theory and research about genetic influences on caregiving and child development. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
- Jasmin Wertz
- Department of Psychology & Neuroscience, Duke University
| | - Jay Belsky
- Department of Human Ecology, University of California, Davis
| | | | | | | | - Reut Avinun
- Department of Psychology & Neuroscience, Duke University
| | - Richie Poulton
- Dunedin Multidisciplinary Health and Development Research Unit, University of Otago
| | - Sandhya Ramrakha
- Dunedin Multidisciplinary Health and Development Research Unit, University of Otago
| | - Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University
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Abstract
PURPOSE OF REVIEW Anxiety disorders are among the most common mental disorders with a lifetime prevalence of over 20%. Clinically, anxiety is not thought of as a homogenous disorder, but is subclassified in generalized, panic, and phobic anxiety disorder. Anxiety disorders are moderately heritable. This review will explore recent genetic and epigenetic approaches to anxiety disorders explaining differential susceptibility risk. RECENT FINDINGS A substantial portion of the variance in susceptibility risk can be explained by differential inherited and acquired genetic and epigenetic risk. Available data suggest that anxiety disorders are highly complex and polygenic. Despite the substantial progress in genetic research over the last decade, only few risk loci for anxiety disorders have been identified so far. This review will cover recent findings from large-scale genome-wide association studies as well as newer epigenome-wide studies. Progress in this area will likely require analysis of much larger sample sizes than have been reported to date. We discuss prospects for clinical translation of genetic findings and future directions for research.
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49
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Briley DA, Livengood J, Derringer J, Tucker-Drob EM, Fraley RC, Roberts BW. Interpreting Behavior Genetic Models: Seven Developmental Processes to Understand. Behav Genet 2019; 49:196-210. [PMID: 30467668 PMCID: PMC6904232 DOI: 10.1007/s10519-018-9939-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 11/16/2018] [Indexed: 01/18/2023]
Abstract
Behavior genetic findings figure in debates ranging from urgent public policy matters to perennial questions about the nature of human agency. Despite a common set of methodological tools, behavior genetic studies approach scientific questions with potentially divergent goals. Some studies may be interested in identifying a complete model of how individual differences come to be (e.g., identifying causal pathways among genotypes, environments, and phenotypes across development). Other studies place primary importance on developing models with predictive utility, in which case understanding of underlying causal processes is not necessarily required. Although certainly not mutually exclusive, these two goals often represent tradeoffs in terms of costs and benefits associated with various methodological approaches. In particular, given that most empirical behavior genetic research assumes that variance can be neatly decomposed into independent genetic and environmental components, violations of model assumptions have different consequences for interpretation, depending on the particular goals. Developmental behavior genetic theories postulate complex transactions between genetic variation and environmental experiences over time, meaning assumptions are routinely violated. Here, we consider two primary questions: (1) How might the simultaneous operation of several mechanisms of gene-environment (GE)-interplay affect behavioral genetic model estimates? (2) At what level of GE-interplay does the 'gloomy prospect' of unsystematic and non-replicable genetic associations with a phenotype become an unavoidable certainty?
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Affiliation(s)
- Daniel A Briley
- Department of Psychology, University of Illinois at Urbana-Champaign, 603 East Daniel Street, Champaign, IL, 61820, USA.
| | - Jonathan Livengood
- Department of Philosophy, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Jaime Derringer
- Department of Psychology, University of Illinois at Urbana-Champaign, 603 East Daniel Street, Champaign, IL, 61820, USA
| | - Elliot M Tucker-Drob
- Department of Psychology and Population Research Center, University of Texas at Austin, Austin, TX, USA
| | - R Chris Fraley
- Department of Psychology, University of Illinois at Urbana-Champaign, 603 East Daniel Street, Champaign, IL, 61820, USA
| | - Brent W Roberts
- Department of Psychology, University of Illinois at Urbana-Champaign, 603 East Daniel Street, Champaign, IL, 61820, USA
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50
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Abstract
Objective: This study examined genetic roots of later life social integration, and their confounding of this social factor's health linkages. Method: Data were from the 2010 wave of the Health and Retirement Study. Two dimensions of integration were examined: with one's "stakeholder" network of family and friends and with the community. Genetic measures included polygenic scores for extraversion and educational attainment. Results: Ties to one's stakeholder network had no genetic associations. The extraversion polygenic score was linked to community integration among Blacks as well as Whites. Among the latter, the same was true of one's genetic propensity for educational attainment. Although this score also influenced self-rated health, neither confounded associations of social integration with this indicator. Discussion: Later life social integration seems influenced by genetically rooted propensities for both sociability and human capital accumulation. Health linkages of integration, however, may not reflect mutual dependencies on the same genetic substrates.
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