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Tiego J, Thompson K, Arnatkeviciute A, Hawi Z, Finlay A, Sabaroedin K, Johnson B, Bellgrove MA, Fornito A. Dissecting Schizotypy and Its Association With Cognition and Polygenic Risk for Schizophrenia in a Nonclinical Sample. Schizophr Bull 2023; 49:1217-1228. [PMID: 36869759 PMCID: PMC10483465 DOI: 10.1093/schbul/sbac016] [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] [Indexed: 11/13/2022]
Abstract
Schizotypy is a multidimensional construct that captures a continuum of risk for developing schizophrenia-spectrum psychopathology. Existing 3-factor models of schizotypy, consisting of positive, negative, and disorganized dimensions have yielded mixed evidence of genetic continuity with schizophrenia using polygenic risk scores. Here, we propose an approach that involves splitting positive and negative schizotypy into more specific subdimensions that are phenotypically continuous with distinct positive symptoms and negative symptoms recognized in clinical schizophrenia. We used item response theory to derive high-precision estimates of psychometric schizotypy using 251 self-report items obtained from a non-clinical sample of 727 (424 females) adults. These subdimensions were organized hierarchically using structural equation modeling into 3 empirically independent higher-order dimensions enabling associations with polygenic risk for schizophrenia to be examined at different levels of phenotypic generality and specificity. Results revealed that polygenic risk for schizophrenia was associated with variance specific to delusional experiences (γ = 0.093, P = .001) and reduced social interest and engagement (γ = 0.076, P = .020), and these effects were not mediated via the higher-order general, positive, or negative schizotypy factors. We further fractionated general intellectual functioning into fluid and crystallized intelligence in 446 (246 females) participants that underwent onsite cognitive assessment. Polygenic risk scores explained 3.6% of the variance in crystallized intelligence. Our precision phenotyping approach could be used to enhance the etiologic signal in future genetic association studies and improve the detection and prevention of schizophrenia-spectrum psychopathology.
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Affiliation(s)
- Jeggan Tiego
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
| | - Kate Thompson
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
| | - Aurina Arnatkeviciute
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Ziarih Hawi
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Amy Finlay
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Kristina Sabaroedin
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
| | - Beth Johnson
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Mark A Bellgrove
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
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Nigg JT, Karalunas SL, Mooney MA, Wilmot B, Nikolas MA, Martel MM, Tipsord J, Nousen EK, Schmitt C, Ryabinin P, Musser ED, Nagel BJ, Fair DA. The Oregon ADHD-1000: A new longitudinal data resource enriched for clinical cases and multiple levels of analysis. Dev Cogn Neurosci 2023; 60:101222. [PMID: 36848718 PMCID: PMC9984785 DOI: 10.1016/j.dcn.2023.101222] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 01/31/2023] [Accepted: 02/20/2023] [Indexed: 02/27/2023] Open
Abstract
The fields of developmental psychopathology, developmental neuroscience, and behavioral genetics are increasingly moving toward a data sharing model to improve reproducibility, robustness, and generalizability of findings. This approach is particularly critical for understanding attention-deficit/hyperactivity disorder (ADHD), which has unique public health importance given its early onset, high prevalence, individual variability, and causal association with co-occurring and later developing problems. A further priority concerns multi-disciplinary/multi-method datasets that can span different units of analysis. Here, we describe a public dataset using a case-control design for ADHD that includes: multi-method, multi-measure, multi-informant, multi-trait data, and multi-clinician evaluation and phenotyping. It spans > 12 years of annual follow-up with a lag longitudinal design allowing age-based analyses spanning age 7-19 + years with a full age range from 7 to 21. Measures span genetic and epigenetic (DNA methylation) array data; EEG, functional and structural MRI neuroimaging; and psychophysiological, psychosocial, clinical and functional outcomes data. The resource also benefits from an autism spectrum disorder add-on cohort and a cross sectional case-control ADHD cohort from a different geographical region for replication and generalizability. Datasets allowing for integration from genes to nervous system to behavior represent the "next generation" of researchable cohorts for ADHD and developmental psychopathology.
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Affiliation(s)
- Joel T Nigg
- Department of Psychiatry & Behavioral Neuroscience, Oregon Health & Science University, USA.
| | | | - Michael A Mooney
- Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, USA
| | - Beth Wilmot
- Oregon Clinical and Translational Research Institute, Oregon Health & Science University, USA
| | - Molly A Nikolas
- Department of Psychological and Brain Sciences, University of Iowa, USA
| | | | - Jessica Tipsord
- Department of Psychiatry & Behavioral Neuroscience, Oregon Health & Science University, USA
| | - Elizabeth K Nousen
- Department of Psychiatry & Behavioral Neuroscience, Oregon Health & Science University, USA
| | - Colleen Schmitt
- Department of Psychiatry & Behavioral Neuroscience, Oregon Health & Science University, USA
| | - Peter Ryabinin
- Knight Cancer Institute, Oregon Health & Science University, USA
| | - Erica D Musser
- Department of Psychology, Florida International University, USA
| | - Bonnie J Nagel
- Department of Psychiatry & Behavioral Neuroscience, Oregon Health & Science University, USA
| | - Damien A Fair
- Department of Pediatrics, Masonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, University of Minnesota, USA.
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Uddin MJ, Hjorthøj C, Ahammed T, Nordentoft M, Ekstrøm CT. The use of polygenic risk scores as a covariate in psychological studies. METHODS IN PSYCHOLOGY 2022. [DOI: 10.1016/j.metip.2022.100099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
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Eum S, Hill SK, Bishop JR. Considering medication exposure in genomic association studies of cognition in psychotic disorders. Pharmacogenomics 2022; 23:791-806. [PMID: 36102182 DOI: 10.2217/pgs-2022-0070] [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: 11/21/2022] Open
Abstract
Cognitive dysfunction is a core feature of psychosis-spectrum illnesses, and the characterization of related genetic mechanisms may provide insights regarding the disease pathophysiology. Substantial efforts have been made to determine the genetic component of cognitive symptoms, without clear success. Illness-related moderators and environmental factors such as medications hinder the detection of genomic association with cognition. Polypharmacy is common in psychotic disorders, and the cumulative effects of medication regimens can confound gene-cognition associations. A review of the relative contributions of important pharmacological and genetic relationships identifies that the effects of medications on cognition in psychotic disorders may be at least, if not more, impactful than individual genes, thus underscoring the importance of accounting for medication exposure in gene-cognition association studies.
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Affiliation(s)
- Seenae Eum
- Department of Pharmacogenomics, School of Pharmacy, Shenandoah University, Fairfax, VA 22031, USA
| | - Scot Kristian Hill
- Department of Psychology, Rosalind Franklin University of Medicine & Science, North Chicago, IL 60064, USA
| | - Jeffrey R Bishop
- Department of Experimental & Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA.,Department of Psychiatry & Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN 55455, USA
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Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopmental disorder that is known to have a polygenic (i.e., many genes of individually small effects) architecture. Polygenic scores (PGS), which characterize this polygenicity as a single score for a given individual, are considered the state-of-the-art in psychiatric genetics research. Despite the proliferation of ADHD studies adopting this approach and its clinical implications, remarkably little is known about the predictive utility of PGS in ADHD research to date, given that there have not yet been any systematic or meta-analytic reviews of this rapidly developing literature. We meta-analyzed 12 unique effect sizes from ADHD PGS studies, yielding an N = 40,088. These studies, which included a mixture of large population-based cohorts and case-control samples of predominantly European ancestry, yielded a pooled ADHD PGS effect size of rrandom = 0.201 (95% CI = [0.144, 0.288]) and an rfixed = 0.190 (95% CI = [0.180, 0.199]) in predicting ADHD. In other words, ADHD PGS reliably account for between 3.6% (in the fixed effects model) to 4.0% (in the random effects model) of the variance in broadly defined phenotypic ADHD. Findings provide important insights into the genetics of psychiatric outcomes and raise several key questions about the impact of PGS on psychiatric research moving forward. Our review concludes by providing recommendations for future research directions in the use of PGS, including new methods to account for comorbidities, integrating bioinformatics to elucidate biological pathways, and leveraging PGS to test mechanistic models of ADHD.
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Affiliation(s)
- James J Li
- Department of Psychology, University of Wisconsin, Madison, WI, USA.
- Waisman Center, University of Wisconsin, WI, Madison, USA.
- Center for Demography of Health and Aging, University of Wisconsin, WI, Madison, USA.
| | - Quanfa He
- Department of Psychology, University of Wisconsin, Madison, WI, USA
- Waisman Center, University of Wisconsin, WI, Madison, USA
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Vuijk PJ, Martin J, Braaten EB, Genovese G, Capawana MR, O’Keefe SM, Lee BA, Lind HS, Smoller JW, Faraone SV, Perlis RH, Doyle AE. Translating Discoveries in Attention-Deficit/Hyperactivity Disorder Genomics to an Outpatient Child and Adolescent Psychiatric Cohort. J Am Acad Child Adolesc Psychiatry 2020; 59:964-977. [PMID: 31421235 PMCID: PMC7408479 DOI: 10.1016/j.jaac.2019.08.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 05/29/2019] [Accepted: 08/08/2019] [Indexed: 01/10/2023]
Abstract
OBJECTIVE Genomic discoveries should be investigated in generalizable child psychiatric samples in order to justify and inform studies that will evaluate their use for specific clinical purposes. In youth consecutively referred for neuropsychiatric evaluation, we examined 1) the convergent and discriminant validity of attention-deficit/hyperactivity disorder (ADHD) polygenic risk scores (PRSs) in relation to DSM-based ADHD phenotypes; 2) the association of ADHD PRSs with phenotypes beyond ADHD that share its liability and have implications for outcome; and 3) the extent to which youth with high ADHD PRSs manifest a distinctive clinical profile. METHOD Participants were 433 youth, ages 7-18 years, from the Longitudinal Study of Genetic Influences on Cognition. We used logistic/linear regression and mixed effects models to examine associations with ADHD-related polygenic variation from the largest ADHD genome-wide association study to date. We replicated key findings in 5,140 adult patients from a local health system biobank. RESULTS Among referred youth, ADHD PRSs were associated with ADHD diagnoses, cross-diagnostic ADHD symptoms and academic impairment (odds ratios ∼1.4; R2 values ∼2%-3%), as well as cross-diagnostic variation in aggression and working memory. In adults, ADHD PRSs were associated with ADHD and phenotypes beyond the condition that have public health implications. Finally, youth with a high ADHD polygenic burden showed a more severe clinical profile than youth with a low burden (β coefficients ∼.2). CONCLUSION Among child and adolescent outpatients, ADHD polygenic risk was associated with ADHD and related phenotypes as well as clinical severity. These results extend the scientific foundation for studies of ADHD polygenic risk in the clinical setting and highlight directions for further research.
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Affiliation(s)
- Pieter J. Vuijk
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | - Joanna Martin
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
| | - Ellen B. Braaten
- Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston
| | - Giulio Genovese
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
| | - Michael R. Capawana
- Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston
| | - Sheila M. O’Keefe
- Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston
| | - B. Andi Lee
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | - Hannah S. Lind
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | - Jordan W. Smoller
- Center for Genomic Medicine, Massachusetts General Hospital, Boston,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA,Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston
| | | | - Roy H. Perlis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA,Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston,Center for Experimental Drugs and Diagnostics, Massachusetts General Hospital, Boston
| | - Alysa E. Doyle
- Center for Genomic Medicine, Massachusetts General Hospital, Boston,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA,Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston,Correspondence to Alysa E. Doyle, PhD, Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge Street, CPZN 6240, Boston, MA 02114
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Shared polygenic risk for ADHD, executive dysfunction and other psychiatric disorders. Transl Psychiatry 2020; 10:182. [PMID: 32518222 PMCID: PMC7283259 DOI: 10.1038/s41398-020-00872-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 05/15/2020] [Accepted: 05/26/2020] [Indexed: 12/14/2022] Open
Abstract
Many psychiatric disorders are associated with impaired executive functioning (EF). The associated EF component varies by psychiatric disorders, and this variation might be due to genetic liability. We explored the genetic association between five psychiatric disorders and EF in clinically-recruited attention deficit hyperactivity disorder (ADHD) children using polygenic risk score (PRS) methodology. Genome-wide association study (GWAS) summary data for ADHD, major depressive disorder (MDD), schizophrenia (SZ), bipolar disorder (BIP) and autism were used to calculate the PRSs. EF was evaluated by the Stroop test for inhibitory control, the trail-making test for cognitive flexibility, and the digital span test for working memory in a Chinese ADHD cohort (n = 1147). Exploratory factor analysis of the three measures identified one principal component for EF (EF-PC). Linear regression models were used to analyze the association between each PRS and the EF measures. The role of EF measures in mediating the effects of the PRSs on ADHD symptoms was also analyzed. The result showed the PRSs for MDD, ADHD and BIP were all significantly associated with the EF-PC. For each EF component, the association results were different for the PRSs of the five psychiatric disorders: the PRSs for ADHD and MDD were associated with inhibitory control (adjusted P = 0.0183 and 0.0313, respectively), the PRS for BIP was associated with working memory (adjusted P = 0.0416), and the PRS for SZ was associated with cognitive flexibility (adjusted P = 0.0335). All three EF measures were significantly correlated with ADHD symptoms. In mediation analyses, the ADHD and MDD PRSs, which were associated with inhibitory control, had significant indirect effects on ADHD symptoms through the mediation of inhibitory control. These findings indicate that the polygenic risks for several psychiatric disorders influence specific executive dysfunction in children with ADHD. The results helped to clarify the relationship between risk genes of each mental disorder and the intermediate cognitive domain, which may further help elucidate the risk genes and motivate efforts to develop EF measures as a diagnostic marker and future treatment target.
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Torske T, Nærland T, Bettella F, Bjella T, Malt E, Høyland AL, Stenberg N, Øie MG, Andreassen OA. Autism spectrum disorder polygenic scores are associated with every day executive function in children admitted for clinical assessment. Autism Res 2020; 13:207-220. [PMID: 31571410 PMCID: PMC7027890 DOI: 10.1002/aur.2207] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Accepted: 08/24/2019] [Indexed: 12/27/2022]
Abstract
Autism spectrum disorder (ASD) and other neurodevelopmental disorders (NDs) are behaviorally defined disorders with overlapping clinical features that are often associated with higher-order cognitive dysfunction, particularly executive dysfunction. Our aim was to determine if the polygenic score (PGS) for ASD is associated with parent-reported executive dysfunction in everyday life using the Behavior Rating Inventory of Executive Function (BRIEF). Furthermore, we investigated if PGS for general intelligence (INT) and attention deficit/hyperactivity disorder (ADHD) also correlate with BRIEF. We included 176 children, adolescents and young adults aged 5-22 years with full-scale intelligence quotient (IQ) above 70. All were admitted for clinical assessment of ASD symptoms and 68% obtained an ASD diagnosis. We found a significant difference between low and high ASD PGS groups in the BRIEF behavior regulation index (BRI) (P = 0.015, Cohen's d = 0.69). A linear regression model accounting for age, sex, full-scale IQ, Social Responsiveness Scale (SRS) total score, ASD, ADHD and INT PGS groups as well as genetic principal components, significantly predicted the BRI score; F(11,130) = 8.142, P < 0.001, R2 = 0.41 (unadjusted). Only SRS total (P < 0.001), ASD PGS 0.1 group (P = 0.018), and sex (P = 0.022) made a significant contribution to the model. This suggests that the common ASD risk gene variants have a stronger association to behavioral regulation aspects of executive dysfunction than ADHD risk or INT variants in a clinical sample with ASD symptoms. Autism Res 2020, 13: 207-220. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: People with autism spectrum disorder (ASD) often have difficulties with higher-order cognitive processes that regulate thoughts and actions during goal-directed behavior, also known as executive function (EF). We studied the association between genetics related to ASD and EF and found a relation between high polygenic score (PGS) for ASD and difficulties with behavior regulation aspects of EF in children and adolescents under assessment for ASD. Furthermore, high PGS for general intelligence was related to social problems.
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Affiliation(s)
- Tonje Torske
- Division of Mental Health and AddictionVestre Viken Hospital TrustDrammenNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Terje Nærland
- NevSom, Department of Rare DisordersOslo University HospitalOsloNorway
- NORMENT Centre, University of OsloOsloNorway
| | - Francesco Bettella
- NORMENT Centre, University of OsloOsloNorway
- Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Thomas Bjella
- NORMENT Centre, University of OsloOsloNorway
- Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Eva Malt
- Institute of Clinical Medicine, Ahus Campus, University of OsloOsloNorway
- Department of Adult HabilitationAkershus University HospitalLørenskogNorway
| | - Anne Lise Høyland
- Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, Faculty of Medicine and Health SciencesNorwegian University of Science and TechnologyTrondheimNorway
- Department of PediatricsSt. Olav Hospital, Trondheim University HospitalTrondheimNorway
| | - Nina Stenberg
- Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Merete Glenne Øie
- Department of PsychologyUniversity of OsloOsloNorway
- Research DepartmentInnlandet Hospital TrustLillehammerNorway
| | - Ole A. Andreassen
- NORMENT Centre, University of OsloOsloNorway
- Division of Mental Health and AddictionOslo University HospitalOsloNorway
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Nigg JT, Karalunas SL, Gustafsson HC, Bhatt P, Ryabinin P, Mooney MA, Faraone SV, Fair DA, Wilmot B. Evaluating chronic emotional dysregulation and irritability in relation to ADHD and depression genetic risk in children with ADHD. J Child Psychol Psychiatry 2020; 61:205-214. [PMID: 31605387 PMCID: PMC6980250 DOI: 10.1111/jcpp.13132] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/31/2019] [Indexed: 01/03/2023]
Abstract
BACKGROUND A central nosological problem concerns the etiological relationship of emotional dysregulation with ADHD. Molecular genetic risk scores provide a novel method for informing this question. METHODS Participants were 514 community-recruited children of Northern European descent age 7-11 defined as ADHD or non-ADHD by detailed research evaluation. Parents-rated ADHD on standardized ratings and child temperament on the Temperament in Middle Childhood Questionnaire (TMCQ) and reported on ADHD and comorbid disorders by semi-structured clinical interview. Categorical and dimensional variables were created for ADHD, emotional dysregulation (implicating disruption of regulation of both anger-irritability and of positive valence surgency-sensation seeking), and irritability alone (anger dysregulation). Genome-wide polygenic risk scores (PRS) were computed for ADHD and depression genetic liability. Structural equation models and computationally derived emotion profiles guided analysis. RESULTS The ADHD PRS was associated in variable-centered analyses with irritability (β = .179, 95% CI = 0.087-0.280; ΔR2 = .034, p < .0002), but also with surgency/sensation seeking (B = .146, 95%CI = 0.052-0.240, ΔR2 =.022, p = .002). In person-centered analysis, the ADHD PRS was elevated in the emotion dysregulation ADHD group versus other ADHD children (OR = 1.44, 95% CI = 1.03-2.20, Nagelkerke ΔR2 = .013, p = .033) but did not differentiate irritable from surgent ADHD profiles. All effects were independent of variation in ADHD severity across traits or groups. The depression PRS was related to oppositional defiant disorder but not to ADHD emotion dysregulation. CONCLUSIONS Irritability-anger and surgency-sensation seeking, as forms of negative and positively valenced dysregulated affect in ADHD populations, both relate principally to ADHD genetic risk and not mood-related genetic risk.
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Affiliation(s)
- Joel T. Nigg
- Department of Psychiatry, Oregon Health & Science University, Portland, OR,Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR
| | - Sarah L. Karalunas
- Department of Psychiatry, Oregon Health & Science University, Portland, OR,Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR
| | | | - Priya Bhatt
- Department of Psychiatry, Oregon Health & Science University, Portland, OR
| | - Peter Ryabinin
- Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR
| | - Michael A. Mooney
- Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR
| | - Stephen V. Faraone
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY,Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Damien A. Fair
- Department of Psychiatry, Oregon Health & Science University, Portland, OR,Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR
| | - Beth Wilmot
- Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR
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Mallet J, Le Strat Y, Dubertret C, Gorwood P. Polygenic Risk Scores Shed Light on the Relationship between Schizophrenia and Cognitive Functioning: Review and Meta-Analysis. J Clin Med 2020; 9:E341. [PMID: 31991840 PMCID: PMC7074036 DOI: 10.3390/jcm9020341] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 01/14/2020] [Accepted: 01/23/2020] [Indexed: 12/26/2022] Open
Abstract
Schizophrenia is a multifactorial disease associated with widespread cognitive impairment. Although cognitive deficits are one of the factors most strongly associated with functional impairment in schizophrenia (SZ), current treatment strategies hardly tackle these impairments. To develop more efficient treatment strategies in patients, a better understanding of their pathogenesis is needed. Recent progress in genetics, driven by large genome-wide association studies (GWAS) and the use of polygenic risk scores (PRS), has provided new insights about the genetic architecture of complex human traits, including cognition and SZ. Here, we review the recent findings examining the genetic links between SZ and cognitive functions in population-based samples as well as in participants with SZ. The performed meta-analysis showed a negative correlation between the polygenetic risk score of schizophrenia and global cognition (p < 0.001) when the samples rely on general and healthy participants, while no significant correlation was detected when the three studies devoted to schizophrenia patients were meta-analysed (p > 0.05). Our review and meta-analysis therefore argues against universal pleiotropy for schizophrenia alleles and cognition, since cognition in SZ patients would be underpinned by the same genetic factors than in the general population, and substantially independent of common variant liability to the disorder.
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Affiliation(s)
- Jasmina Mallet
- APHP; Department of Psychiatry, Universitary Hospital Louis Mourier, 92700 Colombes, France; (Y.L.S.); (C.D.)
- Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, F-75014 Paris, France
| | - Yann Le Strat
- APHP; Department of Psychiatry, Universitary Hospital Louis Mourier, 92700 Colombes, France; (Y.L.S.); (C.D.)
- Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, F-75014 Paris, France
| | - Caroline Dubertret
- APHP; Department of Psychiatry, Universitary Hospital Louis Mourier, 92700 Colombes, France; (Y.L.S.); (C.D.)
- Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, F-75014 Paris, France
| | - Philip Gorwood
- Université de Paris, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, F-75014 Paris, France
- GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, F-75014 Paris, France
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Abstract
The Colorado Twin Registry (CTR) is a population-based registry formed from birth and school records including twins born between 1968 and the present. Two previous reports on the CTR [Rhea et al., (2006). Twin Research and Human Genetics, 9, 941-949; Rhea et al., (2013).Twin Research and Human Genetics, 16, 351-357] covered developments in the CTR through 2012. This report briefly summarizes previously presented material on ascertainment and recruitment and the relationships between samples and studies, discusses developments since 2012 for four previously described twin samples, describes two new samples and their complementary studies and expands on two subjects briefly mentioned in the last report: a history of genotyping efforts involving CTR samples, and a survey of collaborations and consortia in which CTR twins have been included. The CTR remains an active resource for both ongoing, longitudinal research and the recruitment of new twin samples for newly identified research opportunities.
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Miller AP, Gizer IR, Fleming Iii WA, Otto JM, Deak JD, Martins JS, Bartholow BD. Polygenic liability for schizophrenia predicts shifting-specific executive function deficits and tobacco use in a moderate drinking community sample. Psychiatry Res 2019; 279:47-54. [PMID: 31299563 PMCID: PMC6713597 DOI: 10.1016/j.psychres.2019.06.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 06/15/2019] [Accepted: 06/17/2019] [Indexed: 01/09/2023]
Abstract
Individuals with schizophrenia have higher lifetime rates of substance use disorders than the general population, and research suggests high comorbidity rates may be partially explained by shared genetic influences related to common underlying etiology. Moreover, deficits in executive functions are thought to be central to the diagnosis of schizophrenia and are likewise associated with alcohol and tobacco use. The current study examined the associations between schizophrenia polygenic risk scores and tobacco and alcohol use and the mediation of these associations by executive function sub-domains. Results from the Psychiatric Genomics Consortium's meta-analysis of genome-wide association studies of schizophrenia were used to calculate polygenic risk scores in a sample of moderate drinkers. Schizophrenia risk scores were significantly associated with shifting-specific executive function deficits and tobacco use phenotypes. However, risk scores were not significantly associated with alcohol use and executive functions were not significantly associated with either tobacco or alcohol use. These findings extend previous research by suggesting that genetic risk for schizophrenia may be associated with specific sub-domains of executive function as well as smoking. The lack of a relation with alcohol use suggests genetic factors related to schizophrenia and executive functioning may not influence drinking in a non-disordered, social-drinking sample.
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Affiliation(s)
- Alex P Miller
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA.
| | - Ian R Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA.
| | - William A Fleming Iii
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA; Department of Applied Behavioral Science, University of Kansas, Lawrence, KS 66045, USA.
| | - Jacqueline M Otto
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA.
| | - Joseph D Deak
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA.
| | - Jorge S Martins
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA.
| | - Bruce D Bartholow
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA.
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13
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Announcement of the Fulker Award for a Paper Published in Behavior Genetics, Volume 47, 2017. Behav Genet 2018; 48:530-531. [PMID: 30259261 DOI: 10.1007/s10519-018-9926-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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14
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Mistry S, Harrison JR, Smith DJ, Escott-Price V, Zammit S. The use of polygenic risk scores to identify phenotypes associated with genetic risk of schizophrenia: Systematic review. Schizophr Res 2018; 197:2-8. [PMID: 29129507 DOI: 10.1016/j.schres.2017.10.037] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 10/27/2017] [Accepted: 10/28/2017] [Indexed: 12/12/2022]
Abstract
Studying the phenotypic manifestations of increased genetic liability for schizophrenia can increase our understanding of this disorder. Specifically, information from alleles identified in genome-wide association studies can be collapsed into a polygenic risk score (PRS) to explore how genetic risk is manifest within different samples. In this systematic review, we provide a comprehensive assessment of studies examining associations between schizophrenia PRS (SZ-PRS) and several phenotypic measures. We searched EMBASE, Medline and PsycINFO (from August 2009-14th March 2016) plus references of included studies, following PRISMA guidelines. Study inclusion was based on predetermined criteria and data were extracted independently and in duplicate. Overall, SZ-PRS was associated with increased risk for psychiatric disorders such as depression and bipolar disorder, lower performance IQ and negative symptoms. SZ-PRS explained up to 6% of genetic variation in psychiatric phenotypes, compared to <0.7% in measures of cognition. Future gains from using the PRS approach may be greater if used for examining phenotypes that are more closely related to biological substrates, for scores based on gene-pathways, and where PRSs are used to stratify individuals for study of treatment response. As it was difficult to interpret findings across studies due to insufficient information provided by many studies, we propose a framework to guide robust reporting of PRS associations in the future.
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Affiliation(s)
- Sumit Mistry
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK.
| | - Judith R Harrison
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK
| | - Daniel J Smith
- Institute of Health and Wellbeing, 1 Lilybank Gardens, University of Glasgow, UK
| | - Valentina Escott-Price
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK
| | - Stanley Zammit
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK; Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, UK
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Schork AJ, Brown TT, Hagler DJ, Thompson WK, Chen CH, Dale AM, Jernigan TL, Akshoomoff N. Polygenic risk for psychiatric disorders correlates with executive function in typical development. GENES BRAIN AND BEHAVIOR 2018; 18:e12480. [PMID: 29660215 DOI: 10.1111/gbb.12480] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Revised: 03/25/2018] [Accepted: 04/09/2018] [Indexed: 01/02/2023]
Abstract
Executive functions are a diverse and critical suite of cognitive abilities that are often disrupted in individuals with psychiatric disorders. Despite their moderate to high heritability, little is known about the molecular genetic factors that contribute to variability in executive functions and how these factors may be related to those that predispose to psychiatric disorders. We examined the relationship between polygenic risk scores built from large genome-wide association studies of psychiatric disorders and executive functioning in typically developing children. In our discovery sample (N = 417), consistent with previous reports on general cognitive abilities, polygenic risk for autism spectrum disorder was associated with better performance on the Dimensional Change Card Sort test from the NIH Cognition Toolbox, with the largest effect in the youngest children. Polygenic risk for major depressive disorder was associated with poorer performance on the Flanker test in the same sample. This second association replicated for performance on the Penn Conditional Exclusion Test in an independent cohort (N = 3681). Our results suggest that the molecular genetic factors contributing to variability in executive function during typical development are at least partially overlapping with those associated with psychiatric disorders, although larger studies and further replication are needed.
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Affiliation(s)
- A J Schork
- Department of Cognitive Sciences, UC San Diego, San Diego, California.,Center for Human Development, UC San Diego, San Diego, California.,Center for Multimodal Imaging and Genetics, UC San Diego School of Medicine, San Diego, California
| | - T T Brown
- Center for Human Development, UC San Diego, San Diego, California.,Center for Multimodal Imaging and Genetics, UC San Diego School of Medicine, San Diego, California.,Department of Neurosciences, UC San Diego, San Diego, California
| | - D J Hagler
- Center for Multimodal Imaging and Genetics, UC San Diego School of Medicine, San Diego, California.,Department of Radiology, UC San Diego, San Diego, California
| | - W K Thompson
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Roskilde, Denmark.,Department of Psychiatry, UC San Diego, San Diego, California
| | - C-H Chen
- Center for Multimodal Imaging and Genetics, UC San Diego School of Medicine, San Diego, California.,Department of Radiology, UC San Diego, San Diego, California
| | - A M Dale
- Center for Multimodal Imaging and Genetics, UC San Diego School of Medicine, San Diego, California.,Department of Neurosciences, UC San Diego, San Diego, California.,Department of Radiology, UC San Diego, San Diego, California.,Department of Psychiatry, UC San Diego, San Diego, California
| | - T L Jernigan
- Department of Cognitive Sciences, UC San Diego, San Diego, California.,Center for Human Development, UC San Diego, San Diego, California.,Department of Radiology, UC San Diego, San Diego, California.,Department of Psychiatry, UC San Diego, San Diego, California
| | - N Akshoomoff
- Center for Human Development, UC San Diego, San Diego, California.,Department of Psychiatry, UC San Diego, San Diego, California
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Bogdan R, Baranger DAA, Agrawal A. Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences. Annu Rev Clin Psychol 2018; 14:119-157. [PMID: 29579395 PMCID: PMC7772939 DOI: 10.1146/annurev-clinpsy-050817-084847] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Genomewide association studies (GWASs) across psychiatric phenotypes have shown that common genetic variants generally confer risk with small effect sizes (odds ratio < 1.1) that additively contribute to polygenic risk. Summary statistics derived from large discovery GWASs can be used to generate polygenic risk scores (PRS) in independent, target data sets to examine correlates of polygenic disorder liability (e.g., does genetic liability to schizophrenia predict cognition?). The intuitive appeal and generalizability of PRS have led to their widespread use and new insights into mechanisms of polygenic liability. However, when currently applied across traits they account for small amounts of variance (<3%), are relatively uninformative for clinical treatment, and, in isolation, provide no insight into molecular mechanisms. Larger GWASs are needed to increase the precision of PRS, and novel approaches integrating various data sources (e.g., multitrait analysis of GWASs) may improve the utility of current PRS.
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Affiliation(s)
- Ryan Bogdan
- BRAINLab, Department of Psychological and Brain Sciences, and Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri 63110, USA;
| | - David A A Baranger
- BRAINLab, Department of Psychological and Brain Sciences, and Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri 63110, USA;
| | - Arpana Agrawal
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, Missouri 63110, USA
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Nigg JT, Gustafsson HC, Karalunas SL, Ryabinin P, McWeeney SK, Faraone SV, Mooney MA, Fair DA, Wilmot B. Working Memory and Vigilance as Multivariate Endophenotypes Related to Common Genetic Risk for Attention-Deficit/Hyperactivity Disorder. J Am Acad Child Adolesc Psychiatry 2018; 57:175-182. [PMID: 29496126 PMCID: PMC6547382 DOI: 10.1016/j.jaac.2017.12.013] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 12/19/2017] [Accepted: 01/03/2018] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Understanding the role of endophenotypes is essential for process models of psychopathology. This study examined which candidate cognitive endophenotypes statistically mediate common variant genetic risk for attention-deficit/hyperactivity disorder (ADHD). METHOD A case-control design using community-recruited volunteer children 7 to 11 years of age (n = 656, n = 435 ADHD), of whom 514 were of homogenous European ancestry for the primary models (n = 337 ADHD, 177 non-ADHD). Children were assessed with a multi-informant, best-estimate diagnostic procedure and laboratory measures of working memory, response inhibition, executive functioning, arousal/attention, temporal information processing, and processing speed. Latent variables were created for the candidate cognitive measures and for parent- and teacher-rated ADHD dimensions. Polygenic risk scores (PGS) were computed using a discovery sample of 20,183 individuals with ADHD and 35,191 controls from the Psychiatric Genetics Consortium. Cognitive measures that survived multiple testing correction for association with the PGS were evaluated for mediation with ADHD using structural equation models. RESULTS Results were essentially identical in the homogeneous European ancestry subgroup (n = 514) and in the full sample (N = 656). For the European population, the PGS was associated with ADHD diagnosis (Nagelkerke R2 = 0.045; β = 0.233, SE = 0.053, p = .000011) and multi-indicator dimensional ADHD latent variables by parent report (β = 0.185, SE = 0.043) and teacher report (β = 0.165, SE = 0.042). The PGS effect was statistically mediated by working memory (indirect effect, β = 0.101, SE = 0.029, 95% CI = 0.05, 0.16, p = .00049, 43% of genetic effect accounted for) and arousal/alertness (indirect effect β = 0.115, 95% CI = 0.04, 0.20, SE = 0.041, p = .005, 49% of genetic effect accounted for). CONCLUSION This is the first clear demonstration from molecular genetic data that working memory and arousal regulation are promising cognitive endophenotypes for ADHD with regard to mediating genetic risk from common genetic variants.
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Affiliation(s)
- Joel T Nigg
- Oregon Health and Science University, Portland.
| | | | | | | | | | | | | | | | - Beth Wilmot
- Oregon Health and Science University, Portland
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18
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Hendry A, Jones EJH, Bedford R, Gliga T, Charman T, Johnson MH. Developmental change in look durations predicts later effortful control in toddlers at familial risk for ASD. J Neurodev Disord 2018; 10:3. [PMID: 29378525 PMCID: PMC5789678 DOI: 10.1186/s11689-017-9219-4] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 11/21/2017] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Difficulties with executive functioning (EF) are common in individuals with a range of developmental disorders, including autism spectrum disorder (ASD). Interventions that target underlying mechanisms of EF early in development could be broadly beneficial, but require infant markers of such mechanisms in order to be feasible. Prospective studies of infants at high familial risk (HR) for ASD have revealed a surprising tendency for HR toddlers to show longer epochs of attention to faces than low-risk (LR) controls. In typical development, decreases in look durations towards the end of the first year of life are driven by the development of executive attention-a foundational component of EF. Here, we test the hypothesis that prolonged attention to visual stimuli (including faces) in HR toddlers reflects early differences in the development of executive attention. METHODS In a longitudinal prospective study, we used eye-tracking to record HR and LR infants' looking behaviour to social and non-social visual stimuli at ages 9 and 15 months. At age 3 years, we assessed children with a battery of clinical research measures and collected parental report of effortful control (EC)-a temperament trait closely associated with EF and similarly contingent on executive attention. RESULTS Consistent with previous studies, we found an attenuated reduction in peak look durations to faces between 9 and 15 months for the HR group compared with the LR group, and lower EC amongst the HR-ASD group. In line with our hypothesis, change in peak look duration to faces between 9 and 15 months was negatively associated with EC at age 3. CONCLUSIONS We suggest that for HR toddlers, disruption to the early development of executive attention results in an attenuated reduction in looking time to faces. Effects may be more apparent for faces due to early biases to orient towards them; further, attention difficulties may interact with earlier emerging differences in social information processing. Our finding that prolonged attention to faces may be an early indicator of disruption to the executive attention system is of potential value in screening for infants at risk for later EF difficulties and for evaluation of intervention outcomes.
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Affiliation(s)
- Alexandra Hendry
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Emily J. H. Jones
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, Malet Street, London, UK
| | - Rachael Bedford
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Teodora Gliga
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, Malet Street, London, UK
| | - Tony Charman
- Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Mark H. Johnson
- Centre for Brain and Cognitive Development, Department of Psychological Sciences, Birkbeck, University of London, Malet Street, London, UK
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