Genetic patterning for child psychopathology is distinct from that for adults and implicates fetal cerebellar development

[1]  Timothy O. Laumann,et al.  Reproducible brain-wide association studies require thousands of individuals , 2022, Nature.

[2]  D. Brody,et al.  Mental Health Surveillance Among Children — United States, 2013–2019 , 2022, MMWR supplements.

[3]  M. Fava,et al.  Genetic Association of Attention-Deficit/Hyperactivity Disorder and Major Depression With Suicidal Ideation and Attempts in Children: The Adolescent Brain Cognitive Development Study , 2021, Biological Psychiatry.

[4]  Evan Z. Macosko,et al.  Peer Review File Manuscript Title: A transcriptomic atlas of mouse cerebellar cortex reveals novel cell types Editorial Notes: Reviewer Comments & Author Rebuttals , 2020 .

[5]  J. Posner,et al.  Genetic Studies of Mental Illness: Are Children Being Left Behind? , 2020, Journal of the American Academy of Child and Adolescent Psychiatry.

[6]  Anushya Muruganujan,et al.  PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API , 2020, Nucleic Acids Res..

[7]  H. Tiemeier,et al.  Combined polygenic risk scores of different psychiatric traits predict general and specific psychopathology in childhood , 2020, medRxiv.

[8]  N. Wray,et al.  Could Polygenic Risk Scores Be Useful in Psychiatry?: A Review. , 2020, JAMA psychiatry.

[9]  Y. Feng,et al.  Pleiotropy and Cross-Disorder Genetics Among Psychiatric Disorders , 2020, Biological Psychiatry.

[10]  Justin D. Tubbs,et al.  Systemic neuro-dysregulation in depression: Evidence from genome-wide association , 2020, European Neuropsychopharmacology.

[11]  J. Smoller,et al.  Translating Discoveries in Attention-Deficit/Hyperactivity Disorder Genomics to an Outpatient Child and Adolescent Psychiatric Cohort , 2020, Journal of the American Academy of Child and Adolescent Psychiatry.

[12]  R. de Graaf,et al.  Do Current Measures of Polygenic Risk for Mental Disorders Contribute to Population Variance in Mental Health? , 2020, Schizophrenia bulletin.

[13]  J. Ioannidis,et al.  Sample size evolution in neuroimaging research: An evaluation of highly-cited studies (1990–2012) and of latest practices (2017–2018) in high-impact journals , 2020, NeuroImage.

[14]  Alexander E. Lopez,et al.  Polygenic Risk of Psychiatric Disorders Exhibits Cross-trait Associations in Electronic Health Record Data From European Ancestry Individuals , 2020, Biological Psychiatry.

[15]  S. Kushner,et al.  Psychotic experiences and future school performance in childhood: a population‐based cohort study , 2020, Journal of child psychology and psychiatry, and allied disciplines.

[16]  Margot J. Taylor,et al.  Regulation of autism-relevant behaviors by cerebellar–prefrontal cortical circuits , 2020, Nature Neuroscience.

[17]  Aaron Carass,et al.  Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization , 2020, NeuroImage.

[18]  M. Jarvelin,et al.  Genetic Associations Between Childhood Psychopathology and Adult Depression and Associated Traits in 42 998 Individuals , 2020, JAMA psychiatry.

[19]  C. Sripada,et al.  The General Factor of Psychopathology in the Adolescent Brain Cognitive Development (ABCD) Study: A Comparison of Alternative Modeling Approaches , 2020, Clinical psychological science : a journal of the Association for Psychological Science.

[20]  Chardée A. Galán,et al.  Trajectories and Predictors of Children's Early-Starting Conduct Problems: Child, Family, Genetic, and Intervention Effects , 2019, Development and Psychopathology.

[21]  Hagen U. Tilgner,et al.  SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse , 2019, Neuron.

[22]  Hunna J. Watson,et al.  Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa , 2019, Nature Genetics.

[23]  Shing Wan Choi,et al.  PRSice-2: Polygenic Risk Score software for biobank-scale data , 2019, GigaScience.

[24]  O. Andreassen,et al.  Cerebellar Gray Matter Volume Is Associated With Cognitive Function and Psychopathology in Adolescence , 2019, Biological Psychiatry.

[25]  E. Feczko,et al.  The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes , 2019, Trends in Cognitive Sciences.

[26]  A. Shabalin,et al.  Polygenic risk scoring and prediction of mental health outcomes. , 2019, Current opinion in psychology.

[27]  S. Nicola,et al.  A Working Hypothesis for the Role of the Cerebellum in Impulsivity and Compulsivity , 2019, Front. Behav. Neurosci..

[28]  D. Heck,et al.  Emerging connections between cerebellar development, behaviour and complex brain disorders , 2019, Nature Reviews Neuroscience.

[29]  A. Hariri The Emerging Importance of the Cerebellum in Broad Risk for Psychopathology , 2019, Neuron.

[30]  Alicia R. Martin,et al.  Clinical use of current polygenic risk scores may exacerbate health disparities , 2019, Nature Genetics.

[31]  M. S. Artigas,et al.  Shared genetic background between children and adults with attention deficit/hyperactivity disorder , 2019, bioRxiv.

[32]  H. Stefánsson,et al.  Interrogating the Genetic Determinants of Tourette's Syndrome and Other Tic Disorders Through Genome-Wide Association Studies. , 2019, The American journal of psychiatry.

[33]  O. Andreassen,et al.  Psychiatric genetics and the structure of psychopathology , 2019, Molecular Psychiatry.

[34]  John P. Rice,et al.  Identification of common genetic risk variants for autism spectrum disorder , 2019, Nature Genetics.

[35]  Dost Öngür,et al.  Cerebellar-Prefrontal Network Connectivity and Negative Symptoms in Schizophrenia. , 2019, The American journal of psychiatry.

[36]  Hunna J. Watson,et al.  Genome wide meta-analysis identifies genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders , 2019, bioRxiv.

[37]  Benjamin Thyreau,et al.  Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images , 2018, NeuroImage.

[38]  M. O’Donovan,et al.  Characterizing Developmental Trajectories and the Role of Neuropsychiatric Genetic Risk Variants in Early-Onset Depression , 2018, JAMA psychiatry.

[39]  Alicia R. Martin,et al.  Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder , 2018, Nature Genetics.

[40]  T. Ge,et al.  Polygenic prediction via Bayesian regression and continuous shrinkage priors , 2018, bioRxiv.

[41]  D. Barch,et al.  Assessment of the Prodromal Questionnaire–Brief Child Version for Measurement of Self-reported Psychoticlike Experiences in Childhood , 2018, JAMA psychiatry.

[42]  Dan J Stein,et al.  Revealing the complex genetic architecture of obsessive–compulsive disorder using meta-analysis , 2018, Molecular Psychiatry.

[43]  Stuart J. Ritchie,et al.  Genomic SEM Provides Insights into the Multivariate Genetic Architecture of Complex Traits , 2019, Nature Human Behaviour.

[44]  C. Heyser,et al.  A description of the ABCD organizational structure and communication framework , 2018, Developmental Cognitive Neuroscience.

[45]  M. Dylan Tisdall,et al.  Quantitative assessment of structural image quality , 2018, NeuroImage.

[46]  Anders M. Dale,et al.  The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites , 2018, Developmental Cognitive Neuroscience.

[47]  Jakob Grove,et al.  Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection , 2018, Nature Genetics.

[48]  Warren W. Kretzschmar,et al.  Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression , 2017, Nature Genetics.

[49]  D. Posthuma,et al.  Functional mapping and annotation of genetic associations with FUMA , 2017, Nature Communications.

[50]  Melissa J. Green,et al.  Genome-wide association study identifies 30 Loci Associated with Bipolar Disorder , 2017, bioRxiv.

[51]  Annchen R. Knodt,et al.  Structural Alterations within Cerebellar Circuitry Are Associated with General Liability for Common Mental Disorders , 2017, Molecular Psychiatry.

[52]  Peter B. Jones,et al.  Phenotypic Manifestation of Genetic Risk for Schizophrenia During Adolescence in the General Population. , 2016, JAMA psychiatry.

[53]  Giulio Genovese,et al.  Schizophrenia risk from complex variation of complement component 4 , 2016, Nature.

[54]  Ralph-Axel Müller,et al.  Cerebro-cerebellar Resting-State Functional Connectivity in Children and Adolescents with Autism Spectrum Disorder , 2015, Biological Psychiatry.

[55]  Ellen T. Gelfand,et al.  A Novel Approach to High-Quality Postmortem Tissue Procurement: The GTEx Project , 2015, Biopreservation and biobanking.

[56]  Gabor T. Marth,et al.  A global reference for human genetic variation , 2015, Nature.

[57]  Joris M. Mooij,et al.  MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..

[58]  A. Hofman,et al.  Challenges in conducting genome-wide association studies in highly admixed multi-ethnic populations: the Generation R Study , 2015, European Journal of Epidemiology.

[59]  J. Ormel,et al.  The Structure of Psychopathology in Adolescence , 2015 .

[60]  Christopher S. Poultney,et al.  Synaptic, transcriptional, and chromatin genes disrupted in autism , 2014, Nature.

[61]  Aleksandra Badura,et al.  The Cerebellum, Sensitive Periods, and Autism , 2014, Neuron.

[62]  P. McGuire,et al.  Are Genetic Risk Factors for Psychosis Also Associated with Dimension-Specific Psychotic Experiences in Adolescence? , 2014, PloS one.

[63]  A. Erkanli,et al.  Indirect Comorbidity in Childhood and Adolescence , 2013, Front. Psychiatry.

[64]  Anushya Muruganujan,et al.  Large-scale gene function analysis with the PANTHER classification system , 2013, Nature Protocols.

[65]  Akira Sawa,et al.  Linking neurodevelopmental and synaptic theories of mental illness through DISC1 , 2011, Nature Reviews Neuroscience.

[66]  J. Kleinman,et al.  Spatiotemporal transcriptome of the human brain , 2011, Nature.

[67]  P. Penzes,et al.  Dendritic spine pathology in neuropsychiatric disorders , 2011, Nature Neuroscience.

[68]  J. Sanjuán,et al.  FOXP2 gene and language impairment in schizophrenia: association and epigenetic studies , 2010, BMC Medical Genetics.

[69]  Brian B. Avants,et al.  N4ITK: Improved N3 Bias Correction , 2010, IEEE Transactions on Medical Imaging.

[70]  F. Verhulst,et al.  Child to adult continuities of psychopathology: a 24‐year follow‐up , 2009, Acta psychiatrica Scandinavica.

[71]  P. Visscher,et al.  Common polygenic variation contributes to risk of schizophrenia and bipolar disorder , 2009, Nature.

[72]  Jörn Diedrichsen,et al.  A probabilistic MR atlas of the human cerebellum , 2009, NeuroImage.

[73]  S. Faraone,et al.  Meta-Analysis of Structural Imaging Findings in Attention-Deficit/Hyperactivity Disorder , 2007, Biological Psychiatry.

[74]  D. Caplan,et al.  Cognition, emotion and the cerebellum. , 2006, Brain : a journal of neurology.

[75]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[76]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[77]  Christopher L. Asplund,et al.  The organization of the human cerebellum estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.

[78]  J. Schmahmann,et al.  The neuropsychiatry of the cerebellum — insights from the clinic , 2008, The Cerebellum.