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Dinkler L, Wronski ML, Lichtenstein P, Lundström S, Larsson H, Micali N, Taylor MJ, Bulik CM. Etiology of the Broad Avoidant Restrictive Food Intake Disorder Phenotype in Swedish Twins Aged 6 to 12 Years. JAMA Psychiatry 2023; 80:260-269. [PMID: 36723946 PMCID: PMC9978946 DOI: 10.1001/jamapsychiatry.2022.4612] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Importance Avoidant restrictive food intake disorder (ARFID) is characterized by an extremely limited range and/or amount of food eaten, resulting in the persistent failure to meet nutritional and/or energy needs. Its etiology is poorly understood, and knowledge of genetic and environmental contributions to ARFID is needed to guide future research. Objective To estimate the extent to which genetic and environmental factors contribute to the liability to the broad ARFID phenotype. Design, Setting, and Participants This nationwide Swedish twin study includes 16 951 twin pairs born between 1992 and 2010 whose parents participated in the Child and Adolescent Twin Study in Sweden (CATSS) at twin age 9 or 12 years. CATSS was linked to the National Patient Register (NPR) and the Prescribed Drug Register (PDR). Data were collected from July 2004 to April 2020, and data were analyzed from October 2021 to October 2022. Main Outcomes and Measures From CATSS, NPR, and PDR, all parent reports, diagnoses, procedures, and prescribed drugs that were relevant to the DSM-5 ARFID criteria were extracted when twin pairs were aged 6 to 12 years and integrated into a composite measure for the ARFID phenotype (ie, avoidant/restrictive eating with clinically significant impact, such as low weight or nutritional deficiency, and with fear of weight gain as an exclusion). In sensitivity analyses, autism and medical conditions that could account for the eating disturbance were controlled for. Univariate liability threshold models were fitted to estimate the relative contribution of genetic and environmental variation to the liability to the ARFID phenotype. Results Of 33 902 included children, 17 151 (50.6%) were male. A total of 682 children (2.0%) with the ARFID phenotype were identified. The heritability of ARFID was 0.79 (95% CI, 0.70-0.85), with significant contributions from nonshared environmental factors (0.21; 95% CI, 0.15-0.30). Heritability was very similar when excluding children with autism (0.77; 95% CI, 0.67-0.84) or medical illnesses that could account for the eating disturbance (0.79; 95% CI, 0.70-0.86). Conclusions and Relevance Prevalence and sex distribution of the broad ARFID phenotype were similar to previous studies, supporting the use of existing epidemiological data to identify children with ARFID. This study of the estimated genetic and environmental etiology of ARFID suggests that ARFID is highly heritable, encouraging future twin and molecular genetic studies.
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Affiliation(s)
- Lisa Dinkler
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Marie-Louis Wronski
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden,Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany,Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden,School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Nadia Micali
- Mental Health Services in the Capital Region of Denmark, Eating Disorders Research Unit, Psychiatric Centre Ballerup, Copenhagen, Denmark,Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Mark J. Taylor
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 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,Department of Nutrition, University of North Carolina at Chapel Hill
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2
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Brikell I, Burton C, Mota NR, Martin J. Insights into attention-deficit/hyperactivity disorder from recent genetic studies. Psychol Med 2021; 51:2274-2286. [PMID: 33814023 DOI: 10.1017/s0033291721000982] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a common and highly heritable neurodevelopmental disorder (NDD). In this narrative review, we summarize recent advances in quantitative and molecular genetic research from the past 5-10 years. Combined with large-scale international collaboration, these advances have resulted in fast-paced progress in understanding the etiology of ADHD and how genetic risk factors map on to clinical heterogeneity. Studies are converging on a number of key insights. First, ADHD is a highly polygenic NDD with a complex genetic architecture encompassing risk variants across the spectrum of allelic frequencies, which are implicated in neurobiological processes. Second, genetic studies strongly suggest that ADHD diagnosis shares a large proportion of genetic risks with continuously distributed traits of ADHD in the population, with shared genetic risks also seen across development and sex. Third, ADHD genetic risks are shared with those implicated in many other neurodevelopmental, psychiatric and somatic phenotypes. As sample sizes and the diversity of genetic studies continue to increase through international collaborative efforts, we anticipate further success with gene discovery, characterization of how the ADHD phenotype relates to other human traits and growing potential to use genomic risk factors for understanding clinical trajectories and for precision medicine approaches.
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Affiliation(s)
- Isabell Brikell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark
| | - Christie Burton
- Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Canada
| | - Nina Roth Mota
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Joanna Martin
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
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3
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The (Broad-Sense) Genetic Correlations Among Four Measures of Inattention and Hyperactivity in 12 Year Olds. Behav Genet 2020; 50:273-288. [PMID: 32529491 PMCID: PMC7355270 DOI: 10.1007/s10519-020-10002-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 05/28/2020] [Indexed: 10/26/2022]
Abstract
We estimated the genetic covariance matrix among four inattention (INATT) and four hyperactivity (HYP) measures in the classical twin design. Data on INATT and HYP symptom counts were obtained in mono- and dizygotic twin pairs (N = 1593) with an average age of 12.2 years (sd = .51). We analyzed maternal ratings of INATT and HYP based on the Conners' Parent Rating Scale (CPRS), the Strengths and Weaknesses of ADHD-symptoms and Normal-behavior (SWAN), and teacher ratings based on the Conners' Teacher rating scale (CTRS) and the ASEBA Teacher Rating Form (TRF). Broad-sense heritabilities, corrected for the main effects of sex and for random teacher rater effects, were large (ranging from .658 to .912). The results reveal pervasive and strong broad-sense genetic effects on INATT and HYP phenotypes with the phenotypic covariance among the phenotypes largely due to correlated genetic effects. Specifically between 79.9 and 99.9% of the phenotypic covariance among the HYP measures, and between 81.0 and 93.5% of the INATT measures are attributable to broad-sense genetic effects. Overall, the present results, pertaining to the broad-sense heritabilities and shared genetic effects, support the current genome-wide association meta-analytic approach to identifying pleiotropic genetic variants.
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4
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Burton CL, Wright L, Shan J, Xiao B, Dupuis A, Goodale T, Shaheen SM, Corfield EC, Arnold PD, Schachar RJ, Crosbie J. SWAN scale for ADHD trait-based genetic research: a validity and polygenic risk study. J Child Psychol Psychiatry 2019; 60:988-997. [PMID: 30908652 DOI: 10.1111/jcpp.13032] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/13/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND Population-based samples with valid, quantitative and genetically informative trait measures of psychopathology could be a powerful complement to case/control genetic designs. We report the convergent and predictive validity of the parent- and self-report versions of the Strengths and Weaknesses of ADHD Symptoms and Normal Behavior Rating Scale (SWAN). We tested if SWAN scores were associated with ADHD diagnosis, ADHD polygenic risk, as well as traits and polygenic risk for disorders that co-occur with ADHD: anxiety and obsessive-compulsive disorder (OCD). METHODS We collected parent- and self-report SWAN scores in a sample of 15,560 children and adolescents (6-17 years) recruited at a science museum (Spit for Science sample). We established age and sex norms for the SWAN. Sensitivity-specificity analyses determined SWAN cut-points that discriminated those with and without a reported ADHD diagnosis. These cut-points were validated in a clinic sample (266 ADHD cases; 36 controls). Convergent validity was established using the Conners' parent- and self-report scales. Using Spit for Science participants with genome-wide data (n = 5,154), we tested if low, medium and high SWAN scores were associated with polygenic risk for ADHD, OCD and anxiety disorders. RESULTS Parent- and self-report SWAN scores showed high convergent validity with Conners' scales and distinguished ADHD participants with high sensitivity and specificity in the Spit for Science sample. In a clinic sample, the Spit for Science cut-points discriminated ADHD cases from controls with a sensitivity of 84% and specificity of 92%. High SWAN scores and scores above the Spit for Science cut-points were significantly associated with polygenic risk for ADHD. SWAN scores were not associated with polygenic risk for OCD or anxiety disorders. CONCLUSIONS Our study supports the validity of the parent- and self-report SWAN scales and their potential in ADHD population-based genetic research.
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Affiliation(s)
- Christie L Burton
- Neurosciences and Mental Health Program, Hospital for Sick Children, Toronto, ON, Canada
| | - Leah Wright
- Neurosciences and Mental Health Program, Hospital for Sick Children, Toronto, ON, Canada
| | - Janet Shan
- Neurosciences and Mental Health Program, Hospital for Sick Children, Toronto, ON, Canada
| | - Bowei Xiao
- Genetics and Genome Biology Program, Hospital for Sick Children, Toronto, ON, Canada
| | - Annie Dupuis
- Clinical Research Services, Hospital for Sick Children, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Tara Goodale
- Neurosciences and Mental Health Program, Hospital for Sick Children, Toronto, ON, Canada
| | - S-M Shaheen
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada.,Departments of Psychiatry & Medical Genetics, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Elizabeth C Corfield
- Neurosciences and Mental Health Program, Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Paul D Arnold
- Genetics and Genome Biology Program, Hospital for Sick Children, Toronto, ON, Canada.,Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada.,Departments of Psychiatry & Medical Genetics, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Russell J Schachar
- Neurosciences and Mental Health Program, Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Jennifer Crosbie
- Neurosciences and Mental Health Program, Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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5
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Antai-Otong D, Zimmerman ML. Treatment Approaches to Attention Deficit Hyperactivity Disorder. Nurs Clin North Am 2017; 51:199-211. [PMID: 27229276 DOI: 10.1016/j.cnur.2016.01.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children, adolescents, and adults, with a prevalence estimated from 5% to 7% across cultures and approximately 2% to 5% in adults. This lifelong disorder challenges nurses to understand the basis of ADHD, analyze symptoms, differentiate coexisting disorders, gather health information from varied sources, and implement person-centered multimodal treatment. Nurses are poised to plan, and work with patients, families, and teachers in the community and school systems to optimize academic and occupational performance and improve quality of life. Pharmacotherapy, psychoeducation, and behavioral therapies are strong components of multimodal treatment planning.
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Affiliation(s)
- Deborah Antai-Otong
- Department of Veterans Affairs, Veterans Integrated Service Networks-(VISN-17), 2301 E. Lamar Boulevard, Arlington, TX 76006, USA
| | - Michele L Zimmerman
- Finney Zimmerman Psychiatric Associates PLC, 324 Louisa Avenue Suite 125, Virginia Beach, VA 23454, USA; Psychiatric Nursing, Old Dominion University, 5115 Hampton Boulevard, Norfolk, VA 23529, USA.
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Schumann L, Boivin M, Paquin S, Lacourse E, Brendgen M, Vitaro F, Dionne G, Tremblay RE, Booij L. Persistence and innovation effects in genetic and environmental factors in negative emotionality during infancy: A twin study. PLoS One 2017; 12:e0176601. [PMID: 28448561 PMCID: PMC5407782 DOI: 10.1371/journal.pone.0176601] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Accepted: 04/13/2017] [Indexed: 12/01/2022] Open
Abstract
Background Difficult temperament in infancy is a risk factor for forms of later internalizing and externalizing psychopathology, including depression and anxiety. A better understanding of the roots of difficult temperament requires assessment of its early development with a genetically informative design. The goal of this study was to estimate genetic and environmental contributions to individual differences in infant negative emotionality, their persistence over time and their influences on stability between 5 and 18 months of age. Method Participants were 244 monozygotic and 394 dizygotic twin pairs (49.7% male) recruited from birth. Mothers rated their twins for negative emotionality at 5 and 18 months. Longitudinal analysis of stability and innovation between the two time points was performed in Mplus. Results There were substantial and similar heritability (approximately 31%) and shared environmental (57.3%) contributions to negative emotionality at both 5 and 18 months. The trait’s interindividual stability across time was both genetically- and environmentally- mediated. Evidence of innovative effects (i.e., variance at 18 months independent from variance at 5 months) indicated that negative emotionality is developmentally dynamic and affected by persistent and new genetic and environmental factors at 18 months. Conclusions In the first two years of life, ongoing genetic and environmental influences support temperamental negative emotionality but new genetic and environmental factors also indicate dynamic change of those factors across time. A better understanding of the source and timing of factors on temperament in early development, and role of sex, could improve efforts to prevent related psychopathology.
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Affiliation(s)
| | - Michel Boivin
- School of Psychology, University of Laval, Quebec, Canada
- Institute of Genetic, Neurobiological and Social Foundations of Child Development, Tomsk State University, Tomsk, Russian Federation
| | - Stéphane Paquin
- Department of Sociology, University of Montreal, Montreal, Canada
| | - Eric Lacourse
- Department of Sociology, University of Montreal, Montreal, Canada
- CHU Sainte-Justine Research Centre, Montreal, Canada
| | - Mara Brendgen
- CHU Sainte-Justine Research Centre, Montreal, Canada
- Department of Psychology, UQAM, Montreal, Canada
| | - Frank Vitaro
- CHU Sainte-Justine Research Centre, Montreal, Canada
- Department of Psycho-education, University of Montreal, Montreal, Canada
| | - Ginette Dionne
- School of Psychology, University of Laval, Quebec, Canada
| | - Richard E. Tremblay
- Institute of Genetic, Neurobiological and Social Foundations of Child Development, Tomsk State University, Tomsk, Russian Federation
- CHU Sainte-Justine Research Centre, Montreal, Canada
- Department of Pediatrics and Psychology, University of Montreal, Montreal, Canada
- School of Public Health, Physiotherapy and Population Science, University College Dublin, Dublin, Ireland
| | - Linda Booij
- Department of Psychology, Queen’s University, Kingston, Canada
- CHU Sainte-Justine Research Centre, Montreal, Canada
- Department of Psychology, Concordia University, Montreal, Canada
- * E-mail:
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7
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Greven CU, Merwood A, van der Meer JMJ, Haworth CMA, Rommelse N, Buitelaar JK. The opposite end of the attention deficit hyperactivity disorder continuum: genetic and environmental aetiologies of extremely low ADHD traits. J Child Psychol Psychiatry 2016; 57:523-31. [PMID: 26474816 PMCID: PMC4789118 DOI: 10.1111/jcpp.12475] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/03/2015] [Indexed: 12/22/2022]
Abstract
BACKGROUND Although attention deficit hyperactivity disorder (ADHD) is thought to reflect a continuously distributed quantitative trait, it is assessed through binary diagnosis or skewed measures biased towards its high, symptomatic extreme. A growing trend is to study the positive tail of normally distributed traits, a promising avenue, for example, to study high intelligence to increase power for gene-hunting for intelligence. However, the emergence of such a 'positive genetics' model has been tempered for ADHD due to poor phenotypic resolution at the low extreme. Overcoming this methodological limitation, we conduct the first study to assess the aetiologies of low extreme ADHD traits. METHODS In a population-representative sample of 2,143 twins, the Strength and Weaknesses of ADHD Symptoms and Normal behaviour (SWAN) questionnaire was used to assess ADHD traits on a continuum from low to high. Aetiological influences on extreme ADHD traits were estimated using DeFries-Fulker extremes analysis. ADHD traits were related to behavioural, cognitive and home environmental outcomes using regression. RESULTS Low extreme ADHD traits were significantly influenced by shared environmental factors (23-35%) but were not significantly heritable. In contrast, high-extreme ADHD traits showed significant heritability (39-51%) but no shared environmental influences. Compared to individuals with high extreme or with average levels of ADHD traits, individuals with low extreme ADHD traits showed fewer internalizing and externalizing behaviour problems, better cognitive performance and more positive behaviours and positive home environmental outcomes. CONCLUSIONS Shared environmental influences on low extreme ADHD traits may reflect passive gene-environment correlation, which arises because parents provide environments as well as passing on genes. Studying the low extreme opens new avenues to study mechanisms underlying previously neglected positive behaviours. This is different from the current deficit-based model of intervention, but congruent with a population-level approach to improving youth wellbeing.
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Affiliation(s)
- Corina U. Greven
- Department of Cognitive NeuroscienceDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands,Karakter Child and Adolescent Psychiatry University CenterNijmegenThe Netherlands,Medical Research Council Social, Genetic & Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | - Andrew Merwood
- Medical Research Council Social, Genetic & Developmental Psychiatry CentreInstitute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK,Department of PsychologyUniversity of BathBathUK
| | - Jolanda M. J. van der Meer
- Department of Cognitive NeuroscienceDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands,Karakter Child and Adolescent Psychiatry University CenterNijmegenThe Netherlands
| | - Claire M. A. Haworth
- School of Experimental Psychology and School of Social and Community MedicineMRC Integrative Epidemiology Unit at the University of BristolCoventryUK
| | - Nanda Rommelse
- Karakter Child and Adolescent Psychiatry University CenterNijmegenThe Netherlands,Department of PsychiatryDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands
| | - Jan K. Buitelaar
- Department of Cognitive NeuroscienceDonders Institute for BrainCognition and BehaviourRadboud University Medical CenterNijmegenThe Netherlands,Karakter Child and Adolescent Psychiatry University CenterNijmegenThe Netherlands
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8
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Couvy-Duchesne B, Ebejer JL, Gillespie NA, Duffy DL, Hickie IB, Thompson PM, Martin NG, de Zubicaray GI, McMahon KL, Medland SE, Wright MJ. Head Motion and Inattention/Hyperactivity Share Common Genetic Influences: Implications for fMRI Studies of ADHD. PLoS One 2016; 11:e0146271. [PMID: 26745144 PMCID: PMC4712830 DOI: 10.1371/journal.pone.0146271] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Accepted: 12/15/2015] [Indexed: 11/18/2022] Open
Abstract
Head motion (HM) is a well known confound in analyses of functional MRI (fMRI) data. Neuroimaging researchers therefore typically treat HM as a nuisance covariate in their analyses. Even so, it is possible that HM shares a common genetic influence with the trait of interest. Here we investigate the extent to which this relationship is due to shared genetic factors, using HM extracted from resting-state fMRI and maternal and self report measures of Inattention and Hyperactivity-Impulsivity from the Strengths and Weaknesses of ADHD Symptoms and Normal Behaviour (SWAN) scales. Our sample consisted of healthy young adult twins (N = 627 (63% females) including 95 MZ and 144 DZ twin pairs, mean age 22, who had mother-reported SWAN; N = 725 (58% females) including 101 MZ and 156 DZ pairs, mean age 25, with self reported SWAN). This design enabled us to distinguish genetic from environmental factors in the association between head movement and ADHD scales. HM was moderately correlated with maternal reports of Inattention (r = 0.17, p-value = 7.4E-5) and Hyperactivity-Impulsivity (r = 0.16, p-value = 2.9E-4), and these associations were mainly due to pleiotropic genetic factors with genetic correlations [95% CIs] of rg = 0.24 [0.02, 0.43] and rg = 0.23 [0.07, 0.39]. Correlations between self-reports and HM were not significant, due largely to increased measurement error. These results indicate that treating HM as a nuisance covariate in neuroimaging studies of ADHD will likely reduce power to detect between-group effects, as the implicit assumption of independence between HM and Inattention or Hyperactivity-Impulsivity is not warranted. The implications of this finding are problematic for fMRI studies of ADHD, as failing to apply HM correction is known to increase the likelihood of false positives. We discuss two ways to circumvent this problem: censoring the motion contaminated frames of the RS-fMRI scan or explicitly modeling the relationship between HM and Inattention or Hyperactivity-Impulsivity.
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Affiliation(s)
- Baptiste Couvy-Duchesne
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Psychology, University of Queensland, Brisbane, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Jane L. Ebejer
- Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, Virginia, United States of America
| | - Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, Virginia, United States of America
| | - David L. Duffy
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Ian B. Hickie
- Brain & Mind Research Institute, University of Sydney, Sydney, Australia
| | - Paul M. Thompson
- Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina del Rey, California, United States of America
| | | | - Greig I. de Zubicaray
- School of Psychology, University of Queensland, Brisbane, Australia
- Institute of Health Biomedical Innovation, Queensland Institute of Technology, Brisbane, Australia
| | - Katie L. McMahon
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | | | - Margaret J. Wright
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
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9
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Little CW, Taylor J, Moltisanti A, Ennis C, Hart SA, Schatschneider C. Factor structure and aetiological architecture of the BRIEF: A twin study. J Neuropsychol 2015; 11:252-276. [PMID: 26351204 DOI: 10.1111/jnp.12084] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Revised: 08/04/2015] [Indexed: 11/28/2022]
Abstract
Executive function is a broad construct that encompasses various processes involved in goal-directed behaviour in non-routine situations (Banich, 2009). The present study uses a sample of 560 5- to 16-year-old twin pairs (M = 11.14, SD = 2.53): 219 monozygotic twin pairs (114 female; 105 male) and 341 dizygotic twin pairs (136 female, 107 male; 98 opposite sex) to extend prior literature by providing information about the factor structure and the genetic and environmental architecture of the Behavior Rating Inventory of Executive Function (BRIEF; Gioia et al., 2000, Child Neuropsychol., 6, 235; Gioia et al., 2000, Behavior rating inventory of executive function, Lutz, FL: Psychological Assessment Resources), a multifaceted rating scale of everyday executive functions. Phenotypic results revealed a 9-scale, 3-factor model best represents the BRIEF structure within the current sample. Results of the genetically sensitive analyses indicated the presence of rater bias/contrast effects for the Initiate, Working Memory, and Task-Monitor scales. Additive genetic and non-shared environmental influences were present for the Initiate, Plan/Organize, Organization of Materials, Shift, and Monitor and Self-Monitor scales. Influences on Emotional Control were solely environmental. Interestingly, the aetiological architecture observed was similar to that of performance-based measures of executive function. This observed similarity provided additional evidence for the usefulness of the BRIEF as a measure of 'everyday' executive function.
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Affiliation(s)
- Callie W Little
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
| | - Jeanette Taylor
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
| | - Allison Moltisanti
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
| | - Chelsea Ennis
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
| | - Sara A Hart
- Department of Psychology, Florida State University, Tallahassee, Florida, USA.,Florida Center for Reading Research, Florida State University, Tallahassee, Florida, USA
| | - Chris Schatschneider
- Department of Psychology, Florida State University, Tallahassee, Florida, USA.,Florida Center for Reading Research, Florida State University, Tallahassee, Florida, USA
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10
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Brikell I, Kuja-Halkola R, Larsson H. Heritability of attention-deficit hyperactivity disorder in adults. Am J Med Genet B Neuropsychiatr Genet 2015; 168:406-413. [PMID: 26129777 DOI: 10.1002/ajmg.b.32335] [Citation(s) in RCA: 84] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Accepted: 06/15/2015] [Indexed: 11/07/2022]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder. Symptoms often persist into adulthood, with a prevalence of 2.5-5% in adult populations. Twin studies in childhood consistently report high heritabilities of 70-80%, while studies in adult samples show only moderate heritability of 30-40% when estimated from self-ratings. This review summarizes the available research on the heritability of ADHD in adults. Three key findings are outlined: (i) self-ratings lead to relatively low heritability estimates of ADHD, independent of age and whether ratings refer to current or retrospective symptoms; (ii) studies relying on different informants to rate each twin within a pair (i.e., self-ratings and different parents/teachers rating each twin in a pair) consistently yield lower heritability estimates than studies relying on ratings from a single informant; (iii) studies using cross-informant data via either combined parent and self-ratings or clinical diagnoses information suggest that the heritability of ADHD in adults could be as high as 70-80%. Together, the reviewed studies suggest that the previously reported low heritability of ADHD in adults is unlikely to reflect a true developmental change. Instead, the drop in heritability is better explained by rater effects related to a switch from using one rater for both twins in a pair (parent/teacher) in childhood, to relying on self-ratings (where each twin rates themselves) of ADHD symptoms in adulthood. When rater effects are addressed using cross-informant approaches, the heritability of ADHD in adults appears to be comparable to the heritability of ADHD in childhood. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Isabell Brikell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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