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Salontaji K, Haftorn KL, Sanders F, Page CM, Walton E, Felix JF, Bekkhus M, Bohlin J, Tiemeier H, Cecil CAM. Gestational epigenetic age and ADHD symptoms in childhood: a prospective, multi-cohort study. Mol Psychiatry 2024:10.1038/s41380-024-02544-2. [PMID: 38561466 DOI: 10.1038/s41380-024-02544-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Epigenetic age acceleration (EAA), defined as the difference between chronological age and epigenetically predicted age, was calculated from multiple gestational epigenetic clocks (Bohlin, EPIC overlap, and Knight) using DNA methylation levels from cord blood in three large population-based birth cohorts: the Generation R Study (The Netherlands), the Avon Longitudinal Study of Parents and Children (United Kingdom), and the Norwegian Mother, Father and Child Cohort Study (Norway). We hypothesized that a lower EAA associates prospectively with increased ADHD symptoms. We tested our hypotheses in these three cohorts and meta-analyzed the results (n = 3383). We replicated previous research on the association between gestational age (GA) and ADHD. Both clinically measured gestational age as well as epigenetic age measures at birth were negatively associated with ADHD symptoms at ages 5-7 years (clinical GA: β = -0.04, p < 0.001, Bohlin: β = -0.05, p = 0.01; EPIC overlap: β = -0.05, p = 0.01; Knight: β = -0.01, p = 0.26). Raw EAA (difference between clinical and epigenetically estimated gestational age) was positively associated with ADHD in our main model, whereas residual EAA (raw EAA corrected for clinical gestational age) was not associated with ADHD symptoms across cohorts. Overall, findings support a link between lower gestational age (either measured clinically or using epigenetic-derived estimates) and ADHD symptoms. Epigenetic age acceleration does not, however, add unique information about ADHD risk independent of clinically estimated gestational age at birth.
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Affiliation(s)
- Kristina Salontaji
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Centre, University Medical Center Rotterdam, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Kristine L Haftorn
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Faye Sanders
- Department of Psychology, University of Bath, Bath, United Kingdom
| | - Christian M Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Physical Health and Ageing, Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Esther Walton
- Department of Psychology, University of Bath, Bath, United Kingdom
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mona Bekkhus
- Promenta research centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Jon Bohlin
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Department for methods development and analysis, section for modeling and bioinformatics, Division for infectious diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Centre, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Medicine, Boston, MA, USA
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Centre, University Medical Center Rotterdam, Rotterdam, The Netherlands.
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
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Aikins M, Willems Y, Mitchell C, Goosby B, Raffington L. Linked emergence of racial disparities in mental health and epigenetic biological aging across childhood and adolescence. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.26.586786. [PMID: 38586008 PMCID: PMC10996608 DOI: 10.1101/2024.03.26.586786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Marginalization due to structural racism may confer an increased risk for aging-related diseases - in part - via effects on people's mental health. Here we leverage a prospective birth cohort study to examine whether the emergence of racial disparities in mental health and DNA-methylation measures of biological aging (i.e., DunedinPACE, GrimAge Acceleration, PhenoAge Acceleration) are linked across childhood and adolescence. We further consider to what extent racial disparities are statistically accounted for by perinatal and postnatal factors in preregistered analyses of N=4,898 participants from the Future of Families & Child Wellbeing Study, of which N=2,039 had repeated saliva DNA methylation at ages 9 and 15 years. We find that racially marginalized children had higher levels of externalizing and internalizing behaviors and diverging longitudinal internalizing slopes. Black compared to White identifying children, children living in more racially segregated neighborhoods, and racially marginalized children more affected by colorism tended to have higher age-9 levels of biological aging and more biological age acceleration over adolescence. Notably, longitudinal increases in internalizing and externalizing behavior were correlated with longitudinal increases in biological aging. While racial and ethnic disparities in mental health were largely statistically accounted for by socioeconomic variables, racial differences in biological aging were often still visible beyond covariate controls. Our findings indicate that racial disparities in mental health and biological aging are linked and emerge early in life. Programs promoting racial health equity must address the psychological and physical impacts of structural racism in children. Comprehensive measures of racism are lacking in current population cohorts.
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Affiliation(s)
- Muna Aikins
- Max Planck Research Group Biosocial – Biology, Social Disparities, and Development; Max Planck Institute for Human Development; Berlin, Germany
| | - Yayouk Willems
- Max Planck Research Group Biosocial – Biology, Social Disparities, and Development; Max Planck Institute for Human Development; Berlin, Germany
| | - Colter Mitchell
- Survey Research Center of the Institute for Social Research; University of Michigan, Ann Arbor, MI, USA
- Population Studies Center of the Institute for Social Research; University of Michigan, Ann Arbor, MI, USA
| | - Bridget Goosby
- Population Research Center; University of Texas at Austin, Austin, TX, USA
| | - Laurel Raffington
- Max Planck Research Group Biosocial – Biology, Social Disparities, and Development; Max Planck Institute for Human Development; Berlin, Germany
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Luo M, Walton E, Neumann A, Thio CHL, Felix JF, van IJzendoorn MH, Pappa I, Cecil CAM. DNA methylation at birth and lateral ventricular volume in childhood: a neuroimaging epigenetics study. J Child Psychol Psychiatry 2024; 65:77-90. [PMID: 37469193 PMCID: PMC10953396 DOI: 10.1111/jcpp.13866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/05/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND Lateral ventricular volume (LVV) enlargement has been repeatedly linked to schizophrenia; yet, what biological factors shape LVV during early development remain unclear. DNA methylation (DNAm), an essential process for neurodevelopment that is altered in schizophrenia, is a key molecular system of interest. METHODS In this study, we conducted the first epigenome-wide association study of neonatal DNAm in cord blood with LVV in childhood (measured using T1-weighted brain scans at 10 years), based on data from a large population-based birth cohort, the Generation R Study (N = 840). Employing both probe-level and methylation profile score (MPS) approaches, we further examined whether epigenetic modifications identified at birth in cord blood are: (a) also observed cross-sectionally in childhood using peripheral blood DNAm at age of 10 years (Generation R, N = 370) and (b) prospectively associated with LVV measured in young adulthood in an all-male sample from the Avon Longitudinal Study of Parents and Children (ALSPAC, N = 114). RESULTS At birth, DNAm levels at four CpGs (annotated to potassium channel tetramerization domain containing 3, KCTD3; SHH signaling and ciliogenesis regulator, SDCCAG8; glutaredoxin, GLRX) prospectively associated with childhood LVV after genome-wide correction; these genes have been implicated in brain development and psychiatric traits including schizophrenia. An MPS capturing a broader epigenetic profile of LVV - but not individual top hits - showed significant cross-sectional associations with LVV in childhood in Generation R and prospectively associated with LVV in early adulthood within ALSPAC. CONCLUSIONS This study finds suggestive evidence that DNAm at birth prospectively associates with LVV at different life stages, albeit with small effect sizes. The prediction of MPS on LVV in a childhood sample and an independent male adult sample further underscores the stability and reproducibility of DNAm as a potential marker for LVV. Future studies with larger samples and comparable time points across development are needed to further elucidate how DNAm associates with this clinically relevant brain structure and risk for neuropsychiatric disorders, and what factors explain the identified DNAm profile of LVV at birth.
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Affiliation(s)
- Mannan Luo
- Department of Psychology, Education and Child StudiesErasmus University RotterdamRotterdamThe Netherlands
- Generation R Study Group, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | | | - Alexander Neumann
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | - Chris H. L. Thio
- Department of EpidemiologyUniversity Medical Center Groningen, University of GroningenGroningenThe Netherlands
| | - Janine F. Felix
- Generation R Study Group, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
- Department of Pediatrics, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | - Marinus H. van IJzendoorn
- Department of Psychology, Education and Child StudiesErasmus University RotterdamRotterdamThe Netherlands
- Research Department of Clinical, Educational and Health Psychology, Faculty of Brain Sciences, UCLUniversity of LondonLondonUK
| | - Irene Pappa
- Generation R Study Group, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
- Clinical Child and Family StudiesVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Charlotte A. M. Cecil
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
- Department of Epidemiology, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CenterLeidenThe Netherlands
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Annunzi E, Cannito L, Bellia F, Mercante F, Vismara M, Benatti B, Di Domenico A, Palumbo R, Adriani W, Dell'Osso B, D'Addario C. Mild internet use is associated with epigenetic alterations of key neurotransmission genes in salivary DNA of young university students. Sci Rep 2023; 13:22192. [PMID: 38092954 PMCID: PMC10719329 DOI: 10.1038/s41598-023-49492-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 12/08/2023] [Indexed: 12/17/2023] Open
Abstract
The potentially problematic use of the Internet is a growing concern worldwide, which causes and consequences are not completely understood yet. The neurobiology of Internet addiction (IA) has attracted much attention in scientific research, which is now focusing on identifying measurable biological markers. Aim of this study was to investigate epigenetic and genetic regulation of oxytocin receptor (OXTR), dopamine transporter (DAT1) and serotonin transporter (SERT) genes using DNA obtained from saliva samples of young university students: the Internet Addiction Test (IAT) was administered to evaluate the potential existence and intensity of IA. Significant changes in DNA methylation levels at OXTR, DAT1 and SERT genes were observed in the 30 < IAT < 49 group (mild-risk internet users) compared to the IAT < 29 subjects (complete control of internet use) and IAT > 50 subjects (considered as moderately addicted). Moreover, epigenetic markers were significantly correlated, either directly (for OXTR and DAT1) or inversely (OXTR and DAT1 versus SERT), to the psychometric properties. Our data confirmed the association of OXTR, DAT1 and SERT genes in processes related to behavioural addictions and might be of relevance to suggest possible biological predictors of altered behaviours and the eventual vulnerability to develop an IA. Different other genetic pathways have been suggested to play a role in IA and research is ongoing to better define them, in order to help in the early diagnosis as well as in the development of new potential treatments.
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Affiliation(s)
- Eugenia Annunzi
- Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100, Chieti, Italy
| | - Loreta Cannito
- Department of Humanities, University of Foggia, Foggia, Italy
- Center for Advanced Studies and Technology, University "G. d'Annunzio" of Chieti-Pescara, 66100, Chieti, Italy
| | - Fabio Bellia
- Department of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100, Teramo, Italy
- Department of Biological Sciences, Fordham University, Bronx, NY, USA
| | - Francesca Mercante
- Department of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100, Teramo, Italy
| | - Matteo Vismara
- Department of Psychiatry, Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, ASST Fatebenefratelli-Sacco, 20019, Milan, Italy
| | - Beatrice Benatti
- Department of Psychiatry, Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, ASST Fatebenefratelli-Sacco, 20019, Milan, Italy
- "Aldo Ravelli" Center for Nanotechnology and Neurostimulation, University of Milan, Milan, Italy
| | - Alberto Di Domenico
- Department of Psychological, Health and Territorial Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100, Chieti, Italy
| | - Riccardo Palumbo
- Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100, Chieti, Italy
- Center for Advanced Studies and Technology, University "G. d'Annunzio" of Chieti-Pescara, 66100, Chieti, Italy
| | - Walter Adriani
- Center for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Viale Regina Elena, 299, 00161, Rome, Italy
| | - Bernardo Dell'Osso
- Department of Psychiatry, Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan, ASST Fatebenefratelli-Sacco, 20019, Milan, Italy
- "Aldo Ravelli" Center for Nanotechnology and Neurostimulation, University of Milan, Milan, Italy
| | - Claudio D'Addario
- Department of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, 64100, Teramo, Italy.
- Department of Clinical Neuroscience, Karolinska Institute, 10316, Stockholm, Sweden.
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Carpentieri V, Cugno S, Lockic K, Pascale E, Adriani W. DAT1 5'-Un-Translated-Region Methylation Patterns as Bio-Markers of ADHD Psycho-Pathology: Contribution to Disease Prognosis and to Monitoring of a Successful Therapy. Biomedicines 2023; 11:2546. [PMID: 37760987 PMCID: PMC10526158 DOI: 10.3390/biomedicines11092546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/31/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023] Open
Abstract
Epigenetic modifications, such as changes in DNA methylation, have been linked to several diseases in recent years. The purpose of our study was to search for biomarkers that (using non-invasive techniques) could assist the clinician in the prognosis of infant/adolescent psychopathology. We previously showed that changes in methylation of the 5'-UTR in the DAT1/SLC6A3 gene can be used as a biomarker for the prognosis of initial severe ADHD: treatment-resistant severe ADHD children were characterized by methylated CpG 1 in particular, while methylated CpGs 2 and 6 were then found in children who improved after the therapy. Further, we confirmed these outcomes and provided the hypothesis that symptomatology might be influenced by the children's genotype and family environment. In particular, levels of CpG 3 methylation in the heterozygous ADHD children were associated with high paternal own risk or stress. Eventually, we found that the same biomarkers are more broadly useful in the field of internalizing or externalizing symptoms (when a certain vulnerability is already present in the child). In particular, it was seen how inheriting specific 9-repeat or 10-repeat VNTR alleles from the mother or from the father could modify the pattern of methylation at the 5'-UTR of the DAT1 gene. A specific pattern of methylations (with CpG 2 following either CpGs 1 + 3 or CpG 6 at the DAT1 5'-UTR) has been associated, therefore, with the likelihood of an internalizing or externalizing developmental trajectory entailing ADHD-like psycho-pathological characteristics. Since each individual responds differently to a specific treatment, we suggest that these methylation patterns may be used as biomarkers to monitor the outcome and/or predict the success of a given therapy (personalized medicine).
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Affiliation(s)
- Valentina Carpentieri
- Center for Behavioral Science and Mental Health, Istituto Superiore di Sanità, I-00161 Rome, Italy;
| | - Silvia Cugno
- Faculty of Psychology, International Telematic University Uninettuno, I-00186 Rome, Italy; (S.C.); (K.L.)
| | - Katarina Lockic
- Faculty of Psychology, International Telematic University Uninettuno, I-00186 Rome, Italy; (S.C.); (K.L.)
| | - Esterina Pascale
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, I-00162 Rome, Italy;
| | - Walter Adriani
- Center for Behavioral Science and Mental Health, Istituto Superiore di Sanità, I-00161 Rome, Italy;
- Faculty of Psychology, International Telematic University Uninettuno, I-00186 Rome, Italy; (S.C.); (K.L.)
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Conole ELS, Vaher K, Cabez MB, Sullivan G, Stevenson AJ, Hall J, Murphy L, Thrippleton MJ, Quigley AJ, Bastin ME, Miron VE, Whalley HC, Marioni RE, Boardman JP, Cox SR. Immuno-epigenetic signature derived in saliva associates with the encephalopathy of prematurity and perinatal inflammatory disorders. Brain Behav Immun 2023; 110:322-338. [PMID: 36948324 DOI: 10.1016/j.bbi.2023.03.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 02/12/2023] [Accepted: 03/16/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND Preterm birth is closely associated with a phenotype that includes brain dysmaturation and neurocognitive impairment, commonly termed Encephalopathy of Prematurity (EoP), of which systemic inflammation is considered a key driver. DNA methylation (DNAm) signatures of inflammation from peripheral blood associate with poor brain imaging outcomes in adult cohorts. However, the robustness of DNAm inflammatory scores in infancy, their relation to comorbidities of preterm birth characterised by inflammation, neonatal neuroimaging metrics of EoP, and saliva cross-tissue applicability are unknown. METHODS Using salivary DNAm from 258 neonates (n = 155 preterm, gestational age at birth 23.28 - 34.84 weeks, n = 103 term, gestational age at birth 37.00 - 42.14 weeks), we investigated the impact of a DNAm surrogate for C-reactive protein (DNAm CRP) on brain structure and other clinically defined inflammatory exposures. We assessed i) if DNAm CRP estimates varied between preterm infants at term equivalent age and term infants, ii) how DNAm CRP related to different types of inflammatory exposure (maternal, fetal and postnatal) and iii) whether elevated DNAm CRP associated with poorer measures of neonatal brain volume and white matter connectivity. RESULTS Higher DNAm CRP was linked to preterm status (-0.0107 ± 0.0008, compared with -0.0118 ± 0.0006 among term infants; p < 0.001), as well as perinatal inflammatory diseases, including histologic chorioamnionitis, sepsis, bronchopulmonary dysplasia, and necrotising enterocolitis (OR range |2.00 | to |4.71|, p < 0.01). Preterm infants with higher DNAm CRP scores had lower brain volume in deep grey matter, white matter, and hippocampi and amygdalae (β range |0.185| to |0.218|). No such associations were observed for term infants. Association magnitudes were largest for measures of white matter microstructure among preterms, where elevated epigenetic inflammation associated with poorer global measures of white matter integrity (β range |0.206| to |0.371|), independent of other confounding exposures. CONCLUSIONS Inflammatory-related DNAm captures the allostatic load of inflammatory burden in preterm infants. Such DNAm measures complement biological and clinical metrics when investigating the determinants of neurodevelopmental differences.
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Affiliation(s)
- Eleanor L S Conole
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.
| | - Kadi Vaher
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Manuel Blesa Cabez
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Gemma Sullivan
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Anna J Stevenson
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Jill Hall
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Lee Murphy
- Edinburgh Clinical Research Facility, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK; Edinburgh Clinical Research Facility, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Alan J Quigley
- Imaging Department, Royal Hospital for Children and Young People, Edinburgh, EH16 4TJ, UK
| | - Mark E Bastin
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK
| | - Veronique E Miron
- MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Heather C Whalley
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - James P Boardman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK; MRC Centre for Reproductive Health, Queen's Medical Research Institute, Edinburgh BioQuarter, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Simon R Cox
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK.
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