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1. Examining the latent structure and correlates of sensory reactivity in autism: a multi-site integrative data analysis by the autism sensory research consortium

Author: Zachary J. Williams, Roseann Schaaf, Karla K. Ausderau, Grace T. Baranek, D. Jonah Barrett, Carissa J. Cascio, Rachel L. Dumont, Ekomobong E. Eyoh, Michelle D. Failla, Jacob I. Feldman, Jennifer H. Foss-Feig, Heather L. Green, Shulamite A. Green, Jason L. He, Elizabeth A. Kaplan-Kahn, Bahar Keçeli-Kaysılı, Keren MacLennan, Zoe Mailloux, Elysa J. Marco, Lisa E. Mash, Elizabeth P. McKernan, Sophie Molholm, Stewart H. Mostofsky, Nicolaas A. J. Puts, Caroline E. Robertson, Natalie Russo, Nicole Shea, John Sideris, James S. Sutcliffe, Teresa Tavassoli, Mark T. Wallace, Ericka L. Wodka, and Tiffany G. Woynaroski
Subjects: Autism, Integrative data analysis, Meta-analysis, Sensory features, Sensory seeking, Hyporeactivity, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Background Differences in responding to sensory stimuli, including sensory hyperreactivity (HYPER), hyporeactivity (HYPO), and sensory seeking (SEEK) have been observed in autistic individuals across sensory modalities, but few studies have examined the structure of these “supra-modal” traits in the autistic population. Methods Leveraging a combined sample of 3868 autistic youth drawn from 12 distinct data sources (ages 3–18 years and representing the full range of cognitive ability), the current study used modern psychometric and meta-analytic techniques to interrogate the latent structure and correlates of caregiver-reported HYPER, HYPO, and SEEK within and across sensory modalities. Bifactor statistical indices were used to both evaluate the strength of a “general response pattern” factor for each supra-modal construct and determine the added value of “modality-specific response pattern” scores (e.g., Visual HYPER). Bayesian random-effects integrative data analysis models were used to examine the clinical and demographic correlates of all interpretable HYPER, HYPO, and SEEK (sub)constructs. Results All modality-specific HYPER subconstructs could be reliably and validly measured, whereas certain modality-specific HYPO and SEEK subconstructs were psychometrically inadequate when measured using existing items. Bifactor analyses supported the validity of a supra-modal HYPER construct (ωH = .800) but not a supra-modal HYPO construct (ωH = .653), and supra-modal SEEK models suggested a more limited version of the construct that excluded some sensory modalities (ωH = .800; 4/7 modalities). Modality-specific subscales demonstrated significant added value for all response patterns. Meta-analytic correlations varied by construct, although sensory features tended to correlate most with other domains of core autism features and co-occurring psychiatric symptoms (with general HYPER and speech HYPO demonstrating the largest numbers of practically significant correlations). Limitations Conclusions may not be generalizable beyond the specific pool of items used in the current study, which was limited to caregiver report of observable behaviors and excluded multisensory items that reflect many “real-world” sensory experiences. Conclusion Of the three sensory response patterns, only HYPER demonstrated sufficient evidence for valid interpretation at the supra-modal level, whereas supra-modal HYPO/SEEK constructs demonstrated substantial psychometric limitations. For clinicians and researchers seeking to characterize sensory reactivity in autism, modality-specific response pattern scores may represent viable alternatives that overcome many of these limitations.
Published: 2023
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2. Calculating genetic risk for dysfunction in pleiotropic biological processes using whole exome sequencing data

Author: Olivia J. Veatch, Diego R. Mazzotti, Robert T. Schultz, Ted Abel, Jacob J. Michaelson, Edward S. Brodkin, Birkan Tunc, Susan G. Assouline, Thomas Nickl-Jockschat, Beth A. Malow, James S. Sutcliffe, and Allan I. Pack
Subjects: Autism spectrum disorders, Sleep duration, Pleiotropy, Exome sequencing, Genetic risk scores, Systems biology, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Abstract Background Numerous genes are implicated in autism spectrum disorder (ASD). ASD encompasses a wide-range and severity of symptoms and co-occurring conditions; however, the details of how genetic variation contributes to phenotypic differences are unclear. This creates a challenge for translating genetic evidence into clinically useful knowledge. Sleep disturbances are particularly prevalent co-occurring conditions in ASD, and genetics may inform treatment. Identifying convergent mechanisms with evidence for dysfunction that connect ASD and sleep biology could help identify better treatments for sleep disturbances in these individuals. Methods To identify mechanisms that influence risk for ASD and co-occurring sleep disturbances, we analyzed whole exome sequence data from individuals in the Simons Simplex Collection (n = 2380). We predicted protein damaging variants (PDVs) in genes currently implicated in either ASD or sleep duration in typically developing children. We predicted a network of ASD-related proteins with direct evidence for interaction with sleep duration-related proteins encoded by genes with PDVs. Overrepresentation analyses of Gene Ontology-defined biological processes were conducted on the resulting gene set. We calculated the likelihood of dysfunction in the top overrepresented biological process. We then tested if scores reflecting genetic dysfunction in the process were associated with parent-reported sleep duration. Results There were 29 genes with PDVs in the ASD dataset where variation was reported in the literature to be associated with both ASD and sleep duration. A network of 108 proteins encoded by ASD and sleep duration candidate genes with PDVs was identified. The mechanism overrepresented in PDV-containing genes that encode proteins in the interaction network with the most evidence for dysfunction was cerebral cortex development (GO:0,021,987). Scores reflecting dysfunction in this process were associated with sleep durations; the largest effects were observed in adolescents (p = 4.65 × 10–3). Conclusions Our bioinformatic-driven approach detected a biological process enriched for genes encoding a protein–protein interaction network linking ASD gene products with sleep duration gene products where accumulation of potentially damaging variants in individuals with ASD was associated with sleep duration as reported by the parents. Specifically, genetic dysfunction impacting development of the cerebral cortex may affect sleep by disrupting sleep homeostasis which is evidenced to be regulated by this brain region. Future functional assessments and objective measurements of sleep in adolescents with ASD could provide the basis for more informed treatment of sleep problems in these individuals.
Published: 2022
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3. Psychometric validation and refinement of the Interoception Sensory Questionnaire (ISQ) in adolescents and adults on the autism spectrum

Author: Evan Suzman, Zachary J. Williams, Jacob I. Feldman, Michelle Failla, Carissa J. Cascio, Mark T. Wallace, Maria Niarchou, James S. Sutcliffe, Ericka Wodka, and Tiffany G. Woynaroski
Subjects: Autism, Interoception, Psychometric, Reliability, Validity, Sensory, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Background Individuals on the autism spectrum are reported to display alterations in interoception, the sense of the internal state of the body. The Interoception Sensory Questionnaire (ISQ) is a 20-item self-report measure of interoception specifically intended to measure this construct in autistic people. The psychometrics of the ISQ, however, have not previously been evaluated in a large sample of autistic individuals. Methods Using confirmatory factor analysis, we evaluated the latent structure of the ISQ in a large online sample of adults on the autism spectrum and found that the unidimensional model fit the data poorly. Using misspecification analysis to identify areas of local misfit and item response theory to investigate the appropriateness of the seven-point response scale, we removed redundant items and collapsed the response options to put forth a novel eight-item, five-response choice ISQ. Results The revised, five-response choice ISQ (ISQ-8) showed much improved fit while maintaining high internal reliability. Differential item functioning (DIF) analyses indicated that the items of the ISQ-8 were answered in comparable ways by autistic adolescents and adults and across multiple other sociodemographic groups. Limitations Our results were limited by the fact that we did not collect data for typically developing controls, preventing the analysis of DIF by diagnostic status. Additionally, while this study proposes a new 5-response scale for the ISQ-8, our data were not collected using this method; thus, the psychometric properties for the revised version of this instrument require further investigation. Conclusion The ISQ-8 shows promise as a reliable and valid measure of interoception in adolescents and adults on the autism spectrum, but additional work is needed to examine its psychometrics in this population. A free online score calculator has been created to facilitate the use of ISQ-8 latent trait scores for further studies of autistic adolescents and adults (available at https://asdmeasures.shinyapps.io/ISQ_score/ ).
Published: 2021
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4. The Drosophila Gene Sulfateless Modulates Autism-Like Behaviors

Author: Kevin A. Hope, Daniel Flatten, Peter Cavitch, Ben May, James S. Sutcliffe, Janis O’Donnell, and Lawrence T. Reiter
Subjects: DGRP, autism, Drosophila, heparin sulfate, GWAS, Genetics, QH426-470
Abstract: Major challenges to identifying genes that contribute to autism spectrum disorder (ASD) risk include the availability of large ASD cohorts, the contribution of many genes overall, and small effect sizes attributable to common gene variants. An alternative approach is to use a model organism to detect alleles that impact ASD-relevant behaviors and ask whether homologous human genes infer ASD risk. Here we utilized the Drosophila genetic reference panel (DGRP) as a tool to probe for perturbation in naturally occurring behaviors in Drosophila melanogaster that are analogous to three behavior domains: impaired social communication, social reciprocity and repetitive behaviors or restricted interests. Using 40 of the available DGRP lines, we identified single nucleotide polymorphisms (SNPs) in or near genes controlling these behavior domains, including ASD gene orthologs (neurexin 4 and neuroligin 2), an intellectual disability (ID) gene homolog (kirre), and a gene encoding a heparan sulfate (HS) modifying enzyme called sulfateless (sfl). SNPs in sfl were associated with all three ASD-like behaviors. Using RNAi knock-down of neuronal sfl expression, we observed significant changes in expressive and receptive communication during mating, decreased grooming behavior, and increased social spacing. These results suggest a role for HS proteoglycan synthesis and/or modification in normal social communication, repetitive behavior, and social interaction in flies. Finally, using the DGRP to directly identify genetic effects relevant to a neuropsychiatric disorder further demonstrates the utility of the Drosophila system in the discovery of genes relevant to human disease.
Published: 2019
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5. Rare Autism-Associated Variants Implicate Syntaxin 1 (STX1 R26Q) Phosphorylation and the Dopamine Transporter (hDAT R51W) in Dopamine Neurotransmission and Behaviors

Author: Etienne Cartier, Peter J. Hamilton, Andrea N. Belovich, Aparna Shekar, Nicholas G. Campbell, Christine Saunders, Thorvald F. Andreassen, Ulrik Gether, Jeremy Veenstra-Vanderweele, James S. Sutcliffe, Paula G. Ulery-Reynolds, Kevin Erreger, Heinrich J.G. Matthies, and Aurelio Galli
Subjects: Autism spectrum disorder, Dopamine, Transporter, Drosophila, Syntaxin 1, Casein kinase 2, Medicine, Medicine (General), R5-920
Abstract: Background: Syntaxin 1 (STX1) is a presynaptic plasma membrane protein that coordinates synaptic vesicle fusion. STX1 also regulates the function of neurotransmitter transporters, including the dopamine (DA) transporter (DAT). The DAT is a membrane protein that controls DA homeostasis through the high-affinity re-uptake of synaptically released DA. Methods: We adopt newly developed animal models and state-of-the-art biophysical techniques to determine the contribution of the identified gene variants to impairments in DA neurotransmission observed in autism spectrum disorder (ASD). Outcomes: Here, we characterize two independent autism-associated variants in the genes that encode STX1 and the DAT. We demonstrate that each variant dramatically alters DAT function. We identify molecular mechanisms that converge to inhibit reverse transport of DA and DA-associated behaviors. These mechanisms involve decreased phosphorylation of STX1 at Ser14 mediated by casein kinase 2 as well as a reduction in STX1/DAT interaction. These findings point to STX1/DAT interactions and STX1 phosphorylation as key regulators of DA homeostasis. Interpretation: We determine the molecular identity and the impact of these variants with the intent of defining DA dysfunction and associated behaviors as possible complications of ASD.
Published: 2015
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6. A phenome‐wide association study of polygenic scores for attention deficit hyperactivity disorder across two genetic ancestries in electronic health record data

Author: Maria Niarchou, Julia M. Sealock, Peter Straub, Sandra Sanchez‐Roige, James S. Sutcliffe, and Lea K. Davis
Subjects: Multifactorial Inheritance, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Phenotype, Attention Deficit Disorder with Hyperactivity, Electronic Health Records, Humans, Genetics (clinical), Genome-Wide Association Study
Abstract: Testing the association between genetic scores for Attention Deficit Hyperactivity Disorder (ADHD) and health conditions, can help us better understand its complex etiology. Electronic health records linked to genetic data provide an opportunity to test whether genetic scores for ADHD correlate with ADHD and additional health outcomes in a health care context across different age groups. We generated polygenic scores (ADHD-PGS) trained on summary statistics from the latest genome-wide association study of ADHD (N = 55,374) and applied them to genome-wide data from 12,383 unrelated individuals of African-American ancestry and 66,378 unrelated individuals of European ancestry from the Vanderbilt Biobank. Overall, only Tobacco use disorder (TUD) was associated with ADHD-PGS in the African-American ancestry group (Odds ratio [95% confidence intervals] = 1.23[1.16-1.31], p = 9.3 × 10
Published: 2022
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7. A haplotype-based framework for group-wise transmission/disequilibrium tests for rare variant association analysis.

Author: Rui Chen 0021, Qiang Wei, Xiaowei Zhan, Xue Zhong, James S. Sutcliffe, Nancy J. Cox, Edwin H. Cook Jr., Chun Li, Wei Chen 0074, and Bingshan Li
Published: 2015
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8. Consensus Genotyper for Exome Sequencing (CGES): improving the quality of exome variant genotypes.

Author: Vassily Trubetskoy, Alex A. Rodriguez, Uptal J. Dave, Nicholas Campbell, Emily L. Crawford, Edwin H. Cook Jr., James S. Sutcliffe, Ian T. Foster, Ravi K. Madduri, Nancy J. Cox, and Lea K. Davis
Published: 2015
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9. Psychometric validation and refinement of the Interoception Sensory Questionnaire (ISQ) in adolescents and adults on the autism spectrum

Author: Tiffany G. Woynaroski, James S. Sutcliffe, Jacob I. Feldman, Mark T. Wallace, Evan Suzman, Zachary J. Williams, Michelle D. Failla, Carissa J. Cascio, Ericka L. Wodka, and Maria Niarchou
Subjects: Adult, Psychometrics, Adolescent, Autism, Population, behavioral disciplines and activities, Item response theory, Interoception, Validity, 03 medical and health sciences, 0302 clinical medicine, Developmental Neuroscience, Surveys and Questionnaires, medicine, Humans, 0501 psychology and cognitive sciences, Autistic Disorder, education, RC346-429, Molecular Biology, education.field_of_study, Measurement, Sensory, Research, 05 social sciences, Neuropsychology, Reproducibility of Results, medicine.disease, Reliability, Differential item functioning, Confirmatory factor analysis, Psychiatry and Mental health, Neurology. Diseases of the nervous system, Psychology, 030217 neurology & neurosurgery, Psychometric, 050104 developmental & child psychology, Developmental Biology, Clinical psychology
Abstract: Background Individuals on the autism spectrum are reported to display alterations in interoception, the sense of the internal state of the body. The Interoception Sensory Questionnaire (ISQ) is a 20-item self-report measure of interoception specifically intended to measure this construct in autistic people. The psychometrics of the ISQ, however, have not previously been evaluated in a large sample of autistic individuals. Methods Using confirmatory factor analysis, we evaluated the latent structure of the ISQ in a large online sample of adults on the autism spectrum and found that the unidimensional model fit the data poorly. Using misspecification analysis to identify areas of local misfit and item response theory to investigate the appropriateness of the seven-point response scale, we removed redundant items and collapsed the response options to put forth a novel eight-item, five-response choice ISQ. Results The revised, five-response choice ISQ (ISQ-8) showed much improved fit while maintaining high internal reliability. Differential item functioning (DIF) analyses indicated that the items of the ISQ-8 were answered in comparable ways by autistic adolescents and adults and across multiple other sociodemographic groups. Limitations Our results were limited by the fact that we did not collect data for typically developing controls, preventing the analysis of DIF by diagnostic status. Additionally, while this study proposes a new 5-response scale for the ISQ-8, our data were not collected using this method; thus, the psychometric properties for the revised version of this instrument require further investigation. Conclusion The ISQ-8 shows promise as a reliable and valid measure of interoception in adolescents and adults on the autism spectrum, but additional work is needed to examine its psychometrics in this population. A free online score calculator has been created to facilitate the use of ISQ-8 latent trait scores for further studies of autistic adolescents and adults (available at https://asdmeasures.shinyapps.io/ISQ_score/).
Published: 2021

10. Characterizing Sleep Disorders in an Autism-Specific Collection of Electronic Health Records

Author: Angela C. Maxwell-Horn, Donald Hucks, Maria Niarchou, Lea K. Davis, EV Singer, Beth A. Malow, James S. Sutcliffe, and Rebecca Johnston
Subjects: medicine.medical_specialty, business.industry, Medical record, Health records, medicine.disease, Electronic health record, Autism spectrum disorder, Medicine, Autism, Sleep (system call), Icd codes, Medical diagnosis, business, Psychiatry
Abstract: BackgroundSleep problems are common in individuals with autism spectrum disorder (ASD). This study reviews one detailed approach to querying the electronic health record (EHR).MethodsWe developed methods for identifying individuals with ASD and defined their sleep problems using International Classification of Diseases (ICD) codes or key words. We examined treatment responses to melatonin.ResultsSleep problems were documented in 86% of patients and using specific keywords yielded more sleep diagnoses than ICD codes alone. About two-thirds of patients benefitted from melatonin.ConclusionsOur study provides a framework for using deidentified medical records to characterize sleep, a common co-occurring condition, in ASD. Using specific keywords could be helpful in future work that queries the EHR.
Published: 2021
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11. Analyses of GWAS and sub-threshold loci lead to the discovery of dendrite development and morphology dysfunction underlying schizophrenia genetic risk

Author: Xue Zhong, Edwin H. Cook, Nancy J. Cox, Ying Ji, Quan Wang, James S. Sutcliffe, Yi Jiang, Zhexing Wen, Chongchong Xu, Feixiong Cheng, Bingshan Li, Hai Yang, Qiang Wei, and Rui Chen
Subjects: Schizophrenia, Dendrite (mathematics), medicine, Sub threshold, Morphology (biology), Genome-wide association study, Computational biology, Genetic risk, Biology, medicine.disease
Abstract: Schizophrenia (SCZ) is highly polygenic, and thousands of genes contribute to its risk. The 145 GWAS loci identified to date do not fully reveal SCZ genetic risk pathways. In this study, we explore a cost-effective strategy to increase power of inference of novel pathways, by expanding the analysis to include sub-threshold GWAS (subGWAS) loci. We identify 180 subGWAS loci (e.g., 5 x10-8 < P ≤ 10-6) based on SCZ summary statistics of 40,675 cases and 64,643 controls from CLOZUK and PGC datasets, and show that subGWAS loci contain substantial true genetic association signals. We merge GWAS (sigGWAS) and subGWAS loci and identify in total 304 high-confidence risk genes (HRGs) by jointly modeling the expanded set of loci. We identify dendrite development and morphogenesis (DDM, GO:0016358 and GO:0048813) as a novel category of biological processes implicated in SCZ genetic risk. SigGWAS loci fail to detect DDM, which is predominantly enriched in subGWAS loci. Further, DDM genes are significantly enriched for heritability of SCZ, as well as bipolar disorder and major depression. Genes in this functional process show cell type specificity in neurons in both fetal and adult brains, and their involvement in SCZ risk is further supported by eQTL analysis of SCZ risk alleles. We derived induced pluripotent stem cell (iPSC) lines from sporadic SCZ patients and normal controls and observe increased neurite lengths and soma sizes in patient-derived iPSC lines along multiple time points during neuronal development, further validating the genetic findings. We also find that the implicated genes are enriched in FDA-approved drug targets, suggesting a therapeutic potential for targeting the implicated biological processes for prevention and treatment. Our results showcase that expanding the analysis to include subGWAS loci is a valuable strategy for enhancing power of uncovering disease mechanisms, especially those of weak effect size, for SCZ and other complex diseases.
Published: 2021
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12. TU3. A PHENOME-WIDE ASSOCIATION STUDY OF POLYGENIC RISK FOR ATTENTION DEFICIT HYPERACTIVITY DISORDER ACROSS TWO GENETIC ANCESTRIES IN ELECTRONIC HEALTH RECORD DATA

Author: Julia Sealock, Lea K. Davis, Maria Niarchou, Peter Straub, James S. Sutcliffe, and Sandra Sanchez-Roige
Subjects: Pharmacology, medicine.medical_specialty, business.industry, Phenome, medicine.disease, Psychiatry and Mental health, Neurology, Electronic health record, medicine, Attention deficit hyperactivity disorder, Pharmacology (medical), Polygenic risk score, Neurology (clinical), business, Psychiatry, Association (psychology), Biological Psychiatry
Published: 2021
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13. Remembering Steve Warren (1953-2021): A giant in the field of genetics

Author: Joseph Cubells, Evan E. Eichler, James S. Sutcliffe, and Huda Y. Zoghbi
Subjects: Philosophy, Field (Bourdieu), Art history
Published: 2021
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14. Structural, functional, and behavioral insights of dopamine dysfunction revealed by a deletion in SLC6A3

Author: Ramnarayan Ramachandran, Dungeng Peng, Jens Meiler, Brian J. O’Grady, Dongxue Yang, Aparna Shekar, Eric Gouaux, Jenny I. Aguilar, Greta Galli, Nicholas G. Campbell, Harald H. Sitte, Vikas Navratna, Aurelio Galli, James S. Sutcliffe, Heinrich J.G. Matthies, Amanda M. Duran, Thomas Stockner, Hassane S. Mchaourab, Kevin Erreger, Leon M. Bellan, and Alexander N. Morley
Subjects: 0301 basic medicine, Multidisciplinary, Transporter, Biology, biology.organism_classification, Cell biology, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Membrane protein, Dopamine, medicine, biology.protein, Drosophila melanogaster, Amphetamine, Gene, 030217 neurology & neurosurgery, Intracellular, medicine.drug, Dopamine transporter
Abstract: The human dopamine (DA) transporter (hDAT) mediates clearance of DA. Genetic variants in hDAT have been associated with DA dysfunction, a complication associated with several brain disorders, including autism spectrum disorder (ASD). Here, we investigated the structural and behavioral bases of an ASD-associated in-frame deletion in hDAT at N336 (∆N336). We uncovered that the deletion promoted a previously unobserved conformation of the intracellular gate of the transporter, likely representing the rate-limiting step of the transport process. It is defined by a “half-open and inward-facing” state (HOIF) of the intracellular gate that is stabilized by a network of interactions conserved phylogenetically, as we demonstrated in hDAT by Rosetta molecular modeling and fine-grained simulations, as well as in its bacterial homolog leucine transporter by electron paramagnetic resonance analysis and X-ray crystallography. The stabilization of the HOIF state is associated both with DA dysfunctions demonstrated in isolated brains of Drosophila melanogaster expressing hDAT ∆N336 and with abnormal behaviors observed at high-time resolution. These flies display increased fear, impaired social interactions, and locomotion traits we associate with DA dysfunction and the HOIF state. Together, our results describe how a genetic variation causes DA dysfunction and abnormal behaviors by stabilizing a HOIF state of the transporter.
Published: 2019
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15. Maternal Serotonin Levels Are Associated With Cognitive Ability and Core Symptoms in Autism Spectrum Disorder

Author: Lauren C. Shuffrey, George M. Anderson, Alicia K. Montgomery, John A. Sweeney, Jeremy Veenstra-VanderWeele, Stephen J. Guter, J. Blake Turner, Suma Jacob, Matthew W. Mosconi, James S. Sutcliffe, and Edwin H. Cook
Subjects: Adult, Male, Serotonin, Autism Spectrum Disorder, Offspring, Mothers, Neuropsychological Tests, Fathers, 03 medical and health sciences, Nonverbal communication, Cognition, 0302 clinical medicine, Developmental and Educational Psychology, medicine, Humans, 0501 psychology and cognitive sciences, Prospective Studies, Child, Adaptive behavior, Pregnancy, business.industry, 05 social sciences, medicine.disease, Latent class model, Psychiatry and Mental health, Autism spectrum disorder, Autism, Female, business, Biomarkers, 030217 neurology & neurosurgery, 050104 developmental & child psychology, Clinical psychology
Abstract: Objective The serotonin (5-hydroxytryptamine [HT]) system has long been implicated in autism spectrum disorder (ASD). Whole-blood 5-HT level (WB5-HT) is a stable, heritable biomarker that is elevated in more than 25% of children with ASD. Recent findings indicate that the maternal 5-HT system may influence embryonic neurodevelopment, but maternal WB5-HT has not been examined in relation to ASD phenotypes. Method WB5-HT levels were obtained from 181 individuals (3–27 years of age) diagnosed with ASD, 99 of their fathers, and 119 of their mothers. Standardized assessments were used to evaluate cognitive, behavioral, and language phenotypes. Results Exploratory regression analyses found relationships between maternal WB5-HT and nonverbal IQ (NVIQ), Autism Diagnostic Interview-Revised (ADI-R) Nonverbal Communication Algorithm scores, and overall adaptive function on the Vineland Adaptive Behavior Scales−II. Latent class analysis identified a three-class structure in the assessment data, describing children with low, intermediate, and high severity across measures of behavior, cognition, and adaptive function. Mean maternal WB5-HT differed across classes, with the lowest maternal WB5-HT levels seen in the highest-severity group (Welch F2,46.048 = 17.394, p Conclusion Maternal WB5-HT is associated with neurodevelopmental outcomes in offspring with ASD. Prospective, longitudinal studies will be needed to better understand the relationship between the function of the maternal serotonin system during pregnancy and brain development. Further studies in animal models may be able to reveal the mechanisms underlying these findings.
Published: 2018
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16. SPARK: A US Cohort of 50,000 Families to Accelerate Autism Research

Author: Ahmad S. Chatha, Amanda D. Shocklee, Xinwei Han, Hana Zaydens, Karen Pierce, Hai Li, Andrew Mason, Dalia Istephanous, Colleen M. Stock, Martin Butler, Amy Nicholson, Zachary Warren, Jason Neely, William Jensen, Amy M. Daniels, Eirene O’Connor, Lauren Kasparson, Nicole Bardett, Dzung Cong Nugyen, Mary Hannah Currin, Sara Eldred, Amy Esler, Lindsey A. Cartner, Elizabeth Berry-Kravis, Beverly E. Robertson, Jaclyn Gunderson, Suma Jacob, Melissa N. Hale, Soo J. Lee, Angela J. Gruber, Leonard J Abbeduto, Vincent Myers, Amanda G. Gulsrud, Jermel Wallace, John Acampado, Sunday M. Francis, Joseph Lillard, Barbara Rodriguez, Bonnie Van Metre, Julie Manoharan, Emily Palen, Shanping Qiu, Cora Taylor, Alexander P. McKenzie, Laurie Raymond, Craig A. Erickson, McLeod F. Gwynette, Malcolm D. Mallardi, David G. Amaral, Natalia Volfovsky, Nathan Hanna, Joseph Piven, Amy Stedman, Andrea R Simon, J. Kiely Law, Danielle Schmidt, Renee D. Clark, Jennifer A. Gerdts, Angela L. Rachubinski, Gail Stein, Ivette Arriaga, Aniko Sabo, Mary Verdi, Juhi Pandey, Christa Lese Martin, Stephen M. Kanne, Catherine Rice, Nicole M. Russo-Ponsaran, Lynette M. Herbert, Lucy Wasserburg, Mark Jones, Christine M. Eng, Stephanie Booker, Jennifer Tjernagel, Luke P. Grosvenor, Ben Negron, Meredith Yinger, Kaela O’Brien, Nicholas Carriero, Kaitlin Smith, Lisa Cordeiro, LeeAnne Green Snyder, Robin P. Goin-Kochel, Caitlin Hayes, Swapnil Shah, Kathryn A. Schweers, Kevin Layman, Matt Kent, Robert T. Schultz, Lark Huang-Storms, Meaghan V. Parladé, Jessica Scherr, Sarah Mastel, Andrei Salomatov, James S. Sutcliffe, Lillian D. Pacheco, Daniel L. Coury, Melissa Brown, Rick Remington, Kathryn Lowe, Jessica Orobio, Landon Hosmer-Quint, Louis F. Reichardt, Eugenia Hofammann, Amy L. Beaumont, Patricia Manning, Andrea J. Ace, Swami Ganesan, Richard A. Gibbs, Alexandra N. Stephens, Lorrin Higgins, James T. McCracken, Holly Lechniak, Anibal Gutierrez, Brianna M. Vernoia, Jacob J. Michaelson, Jay A. Nestle, Brooke G. McKenna, Corrie H. Walston, Wubin Chin, Michael Alessandri, A. Pablo Juárez, Deana Li, Michael J. Morrier, Nina Harris, Stephanie J. Brewster, Brittani A. Hilscher, Hannah E. Kaplan, Ericka L. Wodka, Christine Peura, Joseph F. Cubells, Donna M. Muzny, Leigh A. Coppola, Jeanette M. Cordova, Loran Casey White, Hoa Lam Schneider, Eric Butter, Samantha Plate, Alexies Camba, Christopher J. Smith, Noah Lawson, Eric Fombonne, Susan Hepburn, Kira E. Hamer, Michelle Heyman, Ron Edgar, Hanna Hutter, Katherine Dent, Katherine Roeder, Samantha Thompson, Sabrina White, Latha Soorya, Michelle Jordy, Emily T. Matthews, Rishiraj Rana, Sandra L. Friedman, Mustafa Sahin, Yufeng Shen, Lisa M. Prock, Richard Marini, Susannah Horner, Cesar Ochoa-Lubinoff, Dustin E. Sarver, Carrie Thomas, Opal Y. Ousley, Rebecca Landa, Anna Marie Paolicelli, Lindsey DeMarco, Alex E. Lash, Tyler Ramsey, Sophia Sandhu, Irina Astrovskaya, Anthony D. Krentz, Gabriela Marzano, Brian J. O'Roak, Natalie Pottschmidt, Leandra N. Berry, Crissy Ortiz, Alpha Amatya, Christina Harkins, Ian Fisk, Sarah Carpenter, Robert D. Annett, Amy Swanson, Catherine Lord, Gabriel S. Dichter, Catherine C. Bradley, Katherine G. Pawlowski, Laura A. Carpenter, Curtis Ridenour, Chris Rigby, Pamela Feliciano, Wha S. Yang, Cordelia Robinson Rosenberg, Raphael Bernier, Fiona Miller, Elena Lamarche, Cheryl Cohen, Nicole Takahashi, Laura Simon, Vini Singh, Maya Lazar, Brenda Hauf, Brenda Finucane, Matthew S. Siegel, Kristen Callahan, Jay L. Nestle, Wendy K. Chung, Eric Courchesne, and Emily A. Fox
Subjects: 0301 basic medicine, Medical education, Biomedical Research, Autism Spectrum Disorder, Patient Selection, General Neuroscience, medicine.disease, Research initiative, Article, United States, Cohort Studies, 03 medical and health sciences, 030104 developmental biology, SPARK (programming language), Autism spectrum disorder, Cohort, medicine, Humans, Autism, Gene-Environment Interaction, Genetic Predisposition to Disease, Psychology, computer, computer.programming_language
Abstract: The Simons Foundation Autism Research Initiative (SFARI) has launched SPARKForAutism.org, a dynamic platform that is engaging thousands of individuals with autism spectrum disorder (ASD) and connecting them to researchers. By making all data accessible, SPARK seeks to increase our understanding of ASD and accelerate new supports and treatments for ASD.
Published: 2018
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17. The Gain-of-Function Integrin β3 Pro33 Variant Alters the Serotonin System in the Mouse Brain

Author: Lisa Bastarache, Ana Carneiro, Capria Rinaldi, James S. Sutcliffe, Matthew D. Mazalouskas, Seth Varney, Michael R. Dohn, Digna R. Velez Edwards, Tammy Jessen, Joshua C. Denny, Christopher G. Kooker, Kendra H. Oliver, and Hope Pan
Subjects: Male, 0301 basic medicine, Serotonin, Proline, Integrin, Mice, Transgenic, Neurotransmission, Reuptake, Synapse, Focal adhesion, Mice, 03 medical and health sciences, 0302 clinical medicine, Neurochemical, Animals, Humans, Gene Knock-In Techniques, Receptor, Research Articles, Serotonin Plasma Membrane Transport Proteins, biology, General Neuroscience, Integrin beta3, Brain, Genetic Variation, Mice, Inbred C57BL, 030104 developmental biology, Gain of Function Mutation, biology.protein, Female, Neuroscience, 030217 neurology & neurosurgery, Protein Binding
Abstract: Engagement of integrins by the extracellular matrix initiates signaling cascades that drive a variety of cellular functions, including neuronal migration and axonal pathfinding in the brain. Multiple lines of evidence link theITGB3gene encoding the integrin β3 subunit with the serotonin (5-HT) system, likely via its modulation of the 5-HT transporter (SERT). TheITGB3coding polymorphism Leu33Pro (rs5918, PlA2) produces hyperactive αvβ3 receptors that influence whole-blood 5-HT levels and may influence the risk for autism spectrum disorder (ASD). Using a phenome-wide scan of psychiatric diagnoses, we found significant, male-specific associations between the Pro33 allele and attention-deficit hyperactivity disorder and ASDs. Here, we used knock-in (KI) mice expressing anItgb3variant that phenocopies the human Pro33 variant to elucidate the consequences of constitutively enhanced αvβ3 signaling to the 5-HT system in the brain. KI mice displayed deficits in multiple behaviors, including anxiety, repetitive, and social behaviors. Anatomical studies revealed a significant decrease in 5-HT synapses in the midbrain, accompanied by decreases in SERT activity and reduced localization of SERTs to integrin adhesion complexes in synapses of KI mice. Inhibition of focal adhesion kinase (FAK) rescued SERT function in synapses of KI mice, demonstrating that constitutive active FAK signaling downstream of the Pro32Pro33 integrin αvβ3 suppresses SERT activity. Our studies identify a complex regulation of 5-HT homeostasis and behaviors by integrin αvβ3, revealing an important role for integrins in modulating risk for neuropsychiatric disorders.SIGNIFICANCE STATEMENTThe integrin β3 Leu33Pro coding polymorphism has been associated with autism spectrum disorders (ASDs) within a subgroup of patients with elevated blood 5-HT levels, linking integrin β3, 5-HT, and ASD risk. We capitalized on these interactions to demonstrate that the Pro33 coding variation in the murine integrin β3 recapitulates the sex-dependent neurochemical and behavioral attributes of ASD. Using state-of-the-art techniques, we show that presynaptic 5-HT function is altered in these mice, and that the localization of 5-HT transporters to specific compartments within the synapse, disrupted by the integrin β3 Pro33 mutation, is critical for appropriate reuptake of 5-HT. Our studies provide fundamental insight into the genetic network regulating 5-HT neurotransmission in the CNS that is also associated with ASD risk.
Published: 2017
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18. Is there sexual dimorphism of hyperserotonemia in autism spectrum disorder?

Author: Lauren C. Shuffrey, Jeremy Veenstra-VanderWeele, George M. Anderson, Edwin H. Cook, Suma Jacob, James S. Sutcliffe, Stephen J. Guter, and Shannon Delaney
Subjects: education.field_of_study, General Neuroscience, 05 social sciences, Population, Quantitative trait locus, medicine.disease, behavioral disciplines and activities, Developmental psychology, Sexual dimorphism, 03 medical and health sciences, 0302 clinical medicine, Autism spectrum disorder, mental disorders, medicine, Autism, Biomarker (medicine), 0501 psychology and cognitive sciences, Neurology (clinical), Psychology, education, 030217 neurology & neurosurgery, Genetics (clinical), 050104 developmental & child psychology, Genetic association, Sex characteristics
Abstract: Approximately 30% of individuals with autism spectrum disorder (ASD) have elevated whole blood serotonin (5-HT) levels. Genetic linkage and association studies of ASD and of whole blood 5-HT levels as a quantitative trait have revealed sexual dimorphism. Few studies have examined the presence of a sex difference on hyperserotonemia within ASD. To assess whether the rate of hyperserotonemia is different in males than in females with ASD, we measured whole blood 5-HT levels in 292 children and adolescents with ASD, the largest sample in which this biomarker has been assessed. Based upon previous work suggesting that hyperserotonemia is more common prior to puberty, we focused our analysis on the 182 pre-pubertal children with ASD. 42% of pre-pubertal participants were within the hyperserotonemia range. In this population, we found that males were significantly more likely to manifest hyperserotonemia than females (P = 0.03). As expected, no significant difference was found in the post-pubertal population. Additional work will be needed to replicate this intriguing finding and to understand whether it could potentially explain differences in patterns of ASD risk between males and females. Autism Res 2017, 10: 1417-1423. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.
Published: 2017
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19. Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism

Author: Gail E. Herman, Jennifer Reichert, Camilla Stoltenberg, Stephen Sanders, Menachem Fromer, Branko Aleksic, Julian Maller, Rachel Nguyen, Utku Norman, J. Jay Gargus, Donna M. Werling, David J. Cutler, Silvia De Rubeis, Kathryn Roeder, Ryan N. Doan, Sherif Gerges, Joseph D. Buxbaum, Per Magnus, Patrick Turley, Moyra Smith, Isaac N. Pessah, Rebecca J. Schmidt, Chiara Fallerini, Michael E. Talkowski, Carla Lintas, Pål Surén, Paige M. Siper, Duncan S. Palmer, Timothy W. Yu, Michael S. Breen, Sven Sandin, Esben Agerbo, Rich Belliveau, Antonio M. Persico, Elaine Cristina Zachi, Matthew W. State, Karoline Teufel, Margaret A. Pericak-Vance, Caitlin E. Carey, Ryan Collins, Lambertus Klei, Lara Tang, Mads V. Hollegaard, Ole Mors, Iuliana Ionita-Laza, Elisa Giorgio, Astanand Jugessur, Gerry Schellenberg, Christopher A. Walsh, A. Ercument Cicek, Caroline Dias, Gun Peggy Knudsen, Louise Gallagher, Elise B. Robinson, Abraham Reichenberg, Judith Miller, Ashley Dumont, Flora Tassone, Grace Schwartz, Peter Szatmari, Jacqueline I. Goldstein, Evelise Riberi, Brian H.Y. Chung, Stephen W. Scherer, Fátima Lopes, Jesslyn Jamison, Thomas Werge, Mara Parellada, Gabriela Soares, Hilary Coon, Shan Dong, Terho Lehtimäki, Norio Ozaki, Lauren A. Weiss, Susan L. Santangelo, F. Kyle Satterstrom, Daniel P. Howrigan, Emily Hansen-Kiss, Anders D. Børglum, Vivek Appadurai, Maria Rita Passos-Bueno, Hailiang Huang, Marcus C.Y. Chan, Eric M. Morrow, Stephen J. Guter, Catalina Betancur, Ditte Demontis, Matthew W. Mosconi, Pierandrea Muglia, Joanna Martin, Jack A. Kosmicki, Christine M. Freitag, Suma Jacob, W. Ian Lipkin, Angel Carracedo, Mark J. Daly, Andreas G. Chiocchetti, Eduarda Montenegro M. de Souza, Carsten Bøcker Pedersen, Isabela Maya Wahys Silva, Elizabeth E. Guerrero, Mafalda Barbosa, A. Jeremy Willsey, Maureen Mulhern, Claire Churchhouse, Raymond K. Walters, Timothy Poterba, Alessandra Renieri, Emilie M. Wigdor, Lauren M. Schmitt, Jennifer L. Moran, Mullin H.C. Yu, Edwin H. Cook, Jiebiao Wang, Behrang Mahjani, Kaitlin E. Samocha, Kaija Puura, Xin He, Ezra Susser, Aarno Palotie, Bernardo Dalla Bernardina, Montserrat Fernández-Prieto, Thomas Damm Als, Mykyta Artomov, Emma Wilkinson, Mads E. Hauberg, Enrico Domenici, Joon Yong An, Christine Søholm Hansen, Somer L. Bishop, Idan Menashe, So Lun Lee, Marianne Giørtz Pedersen, Alfredo Brusco, Nancy J. Minshew, Michael E. Zwick, Jesper Buchhave Poulsen, Elaine T. Lim, Benjamin M. Neale, Harrison Brand, Danielle Halpern, Elisabetta Trabetti, Alexander Kolevzon, Christine Stevens, Aurora Currò, Miia Kaartinen, Gal Meiri, Richard Anney, Søren Dalsgaard, Minshi Peng, Kimberly Chambert, Brooke Sheppard, Yunin Ludena, James S. Sutcliffe, Marie Bækvad-Hansen, Xinyi Xu, Audrey Thurm, Itaru Kushima, Michael Gill, Irva Hertz-Picciotto, Jonatan Pallesen, Stephan Ripke, Dara S. Manoach, Giovanni Battista Ferrero, Nell Maltman, Michael L. Cuccaro, David M. Hougaard, Javier González-Peñas, Wesley K. Thompson, Felecia Cerrato, Danielle de Paula Moreira, Jonas Bybjerg-Grauholm, Alicia R. Martin, Merete Nordentoft, John A. Sweeney, Alfonso Buil, Tarjinder Singh, Bernie Devlin, Jakob Grove, Daniel H. Geschwind, Manuel Mattheisen, Patrícia Maciel, Preben Bo Mortensen, Andrew J. Schork, Ryan Yuen, Christina M. Hultman, Maria del Pilar Trelles, Aparna Bhaduri, Sabine Schlitt, Diego Lopergolo, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Carnegie Mellon University [Pittsburgh] (CMU), Icahn School of Medicine at Mount Sinai [New York] (MSSM), University of California [San Francisco] (UCSF), University of California, Korea University [Seoul], The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus University [Aarhus], Center for Genomics and Personalized Medicine [Aarhus, Denmark] (CGPM), University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE), Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research [San Francisco, CA, USA], Bilkent University [Ankara], University of California [Irvine] (UCI), Medical Investigation of Neurodevelopmental Disorders Institute [Davis, CA, USA] (MIND), University of California [Davis] (UC Davis), University of California-University of California, Boston Children's Hospital, Génétique de l'autisme = Genetics of Autism (NPS-01), Neurosciences Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), University of Illinois [Chicago] (UIC), University of Illinois System, Trinity College Dublin, Vanderbilt University School of Medicine [Nashville], National Institute of Mental Health (NIMH), Emory University School of Medicine, Emory University [Atlanta, GA], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki-University of Helsinki, Autism Sequencing Consortium : Branko Aleksic, Richard Anney, Mafalda Barbosa, Somer Bishop, Alfredo Brusco, Jonas Bybjerg-Grauholm, Angel Carracedo, Marcus C.Y. Chan, Andreas G. Chiocchetti, Brian H.Y. Chung, Hilary Coon, Michael L. Cuccaro, Aurora Curro´ , Bernardo Dalla Bernardina, Ryan Doan, Enrico Domenici, Shan Dong, Chiara Fallerini, Montserrat Ferna´ ndez-Prieto, Giovanni Battista Ferrero, Christine M. Freitag, Menachem Fromer, J. Jay Gargus, Daniel Geschwind, Elisa Giorgio, Javier Gonza´ lez-Pen˜ as, Stephen Guter, Danielle Halpern, Emily HansenKiss, Xin He, Gail E. Herman, Irva Hertz-Picciotto, David M. Hougaard, Christina M. Hultman, Iuliana Ionita-Laza, Suma Jacob, Jesslyn Jamison, Astanand Jugessur, Miia Kaartinen, Gun Peggy Knudsen, Alexander Kolevzon, Itaru Kushima, So Lun Lee, Terho Lehtima¨ ki, Elaine T. Lim, Carla Lintas, W. Ian Lipkin, Diego Lopergolo, Fa´ tima Lopes, Yunin Ludena, Patricia Maciel, Per Magnus, Behrang Mahjani, Nell Maltman, Dara S. Manoach, Gal Meiri, Idan Menashe, Judith Miller, Nancy Minshew, Eduarda M.S. Montenegro, Danielle Moreira, Eric M. Morrow, Ole Mors, Preben Bo Mortensen, Matthew Mosconi, Pierandrea Muglia, Benjamin M. Neale, Merete Nordentoft, Norio Ozaki, Aarno Palotie, Mara Parellada, Maria Rita Passos-Bueno, Margaret Pericak-Vance, Antonio M. Persico, Isaac Pessah, Kaija Puura, Abraham Reichenberg, Alessandra Renieri, Evelise Riberi, Elise B. Robinson, Kaitlin E. Samocha, Sven Sandin, Susan L. Santangelo, Gerry Schellenberg, Stephen W. Scherer, Sabine Schlitt, Rebecca Schmidt, Lauren Schmitt, Isabela M.W. Silva, Tarjinder Singh, Paige M. Siper, Moyra Smith, Gabriela Soares, Camilla Stoltenberg, Pa˚ l Suren, Ezra Susser, John Sweeney, Peter Szatmari, Lara Tang, Flora Tassone, Karoline Teufel, Elisabetta Trabetti, Maria del Pilar Trelles, Christopher A. Walsh, Lauren A. Weiss, Thomas Werge, Donna M. Werling, Emilie M. Wigdor, Emma Wilkinson, A. Jeremy Willsey, Timothy W. Yu, Mullin H.C. Yu, Ryan Yuen, and Elaine Zachi. and iPSYCH-Broad Consortium : e Esben Agerbo, Thomas Damm Als, Vivek Appadurai, Marie Bækvad-Hansen, Rich Belliveau, Alfonso Buil, Caitlin E. Carey, Felecia Cerrato, Kimberly Chambert, Claire Churchhouse, Søren Dalsgaard, Ditte Demontis, Ashley Dumont, Jacqueline Goldstein, Christine S. Hansen, Mads Engel Hauberg, Mads V. Hollegaard, Daniel P. Howrigan, Hailiang Huang, Julian Maller, Alicia R. Martin, Joanna Martin, Manuel Mattheisen, Jennifer Moran, Jonatan Pallesen, Duncan S. Palmer, Carsten Bøcker Pedersen, Marianne Giørtz Pedersen, Timothy Poterba, Jesper Buchhave Poulsen, Stephan Ripke, Andrew J. Schork, Wesley K. Thompson, Patrick Turley, and Raymond K. Walters., Norman, Utku, Çicek, A. Ercüment, Betancur, Catalina, University of California [San Francisco] (UC San Francisco), University of California (UC), University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), Neuroscience Paris Seine (NPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki
Subjects: Male, INTELLECTUAL DISABILITY, genetic structures, MESH: Neurons, Genome-wide association study, [SDV.GEN] Life Sciences [q-bio]/Genetics, Whole Exome Sequencing, Cohort Studies, 0302 clinical medicine, Gene Frequency, Neurobiology, MESH: Gene Expression Regulation, Developmental, Spectrum disorder, Exome, Developmental, genetics, Copy-number variation, excitatory-inhibitory balance, MESH: Cohort Studies, Exome sequencing, Genetics, Cerebral Cortex, Neurons, 0303 health sciences, MESH: Exome, autism spectrum disorder, cell type, cytoskeleton, excitatory neurons, exome sequencing, inhibitory neurons, liability, neurodevelopment, MESH: Genetic Predisposition to Disease, MESH: Case-Control Studies, Phenotype, Autism spectrum disorder, Female, Single-Cell Analysis, AGED 8 YEARS, MESH: Autistic Disorder, UNITED-STATES, GENETIC RISK, Biology, MESH: Phenotype, behavioral disciplines and activities, SAND DOMAIN, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Sex Factors, MESH: Sex Factors, MESH: Whole Exome Sequencing, MESH: Neurobiology, mental disorders, medicine, MESH: Gene Frequency, Humans, Cell Lineage, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Autistic Disorder, Allele frequency, Case-Control Studies, Mutation, Missense, Gene Expression Regulation, Developmental, SPECTRUM DISORDER, COPY NUMBER VARIATION, 030304 developmental biology, MESH: Mutation, Missense, [SDV.GEN]Life Sciences [q-bio]/Genetics, MESH: Humans, MESH: Cell Lineage, medicine.disease, MESH: Male, MESH: Cerebral Cortex, DISABILITIES MONITORING NETWORK, Gene Expression Regulation, DE-NOVO MUTATIONS, Mutation, Autism, Missense, MESH: Female, 030217 neurology & neurosurgery, MESH: Single-Cell Analysis
Abstract: International audience; We present the largest exome sequencing study of autism spectrum disorder (ASD) to date (n = 35,584 total samples, 11,986 with ASD). Using an enhanced analytical framework to integrate de novo and case-control rare variation, we identify 102 risk genes at a false discovery rate of 0.1 or less. Of these genes, 49 show higher frequencies of disruptive de novo variants in individuals ascertained to have severe neurodevelopmental delay, whereas 53 show higher frequencies in individuals ascertained to have ASD; comparing ASD cases with mutations in these groups reveals phenotypic differences. Expressed early in brain development, most risk genes have roles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelopmental and neurophysiological changes), and 13 fall within loci recurrently hit by copy number variants. In cells from the human cortex, expression of risk genes is enriched in excitatory and inhibitory neuronal lineages, consistent with multiple paths to an excitatory-inhibitory imbalance underlying ASD.
Published: 2020
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20. Beliefs in vaccine as causes of autism among SPARK cohort caregivers

Author: Eric Fombonne, Robin P. Goin-Kochel, Brian J. O'Roak, Leonard Abbeduto, Gabriella Aberbach, John Acampado, Andrea J. Ace, Charles Albright, Michael Alessandri, David G. Amaral, Alpha Amatya, Claudine Anglo, Robert D. Annett, Ivette Arriaga, Raven Ashley, Irina Astrovskaya, Kelly Baalman, Melissa Baer, Ethan Bahl, Adithya Balasubramanian, Gabrielle Baraghoshi, Nicole Bardett, Rebecca A. Barnard, Asif Bashar, Arthur Beaudet, Malia Beckwith, Landon Beeson, Dawn Bentley, Raphael A. Bernier, Elizabeth Berry-Kravis, Sarah Boland, Stephanie Booker, Catherine Bradley, Stephanie J. Brewster, Elizabeth Brooks, Melissa Brown, Leo Brueggeman, Martin E. Butler, Eric M. Butter, Kristen Callahan, Alexies Camba, Paul Carbone, Laura Carpenter, Sarah Carpenter, Nicholas Carriero, Lindsey A. Cartner, Lucas Casten, Ahmad S. Chatha, Wubin Chin, Sharmista Chintalapalli, Daniel Cho, Wendy K. Chung, Renee D. Clark, Cheryl Cohen, Kendra Coleman, Costanza Columbi, Leigh Coppola, Eric Courchesne, Joseph F. Cubells, Mary Hannah Currin, Amy M. Daniels, Giancarla David, Lindsey DeMarco, Megan Y. Dennis, Kate Dent, Gabriel S. Dichter, Yan Ding, Huyen Dinh, Ryan Doan, HarshaVardhan Doddapaneni, Evan E. Eichler, Sara Eldred, Christine Eng, Craig A. Erickson, Amy Esler, Ali Fatemi, Pamela Feliciano, Gregory Fischer, Angela Fish, Ian Fisk, Eric J. Fombonne, Margaret Foster, Emily A. Fox, Sunday Francis, Sandra L. Friedman, Swami Ganesan, Michael Garrett, Vahid Gazestani, Madeleine R. Geisheker, Jennifer A. Gerdts, Daniel H. Geschwind, Mohammad Ghaziuddin, Richard A. Gibbs, Natalia Gonzalez, Lindsey Goudreau, Anthony J. Griswold, Luke P. Grosvenor, Angela J. Gruber, Amanda C. Gulsrud, Jaclyn Gunderson, Chris Gunter, Abha Gupta, Anibal Gutierrez, Melissa N. Hale, Monica Haley, Jacob B. Hall, Kira E. Hamer, Bing Han, Nathan Hanna, Antonio Hardan, Christina Harkins, Gloria Harrington, Jill Harris, Nina Harris, Brenda Hauf, Caitlin Hayes, Kathryn Heerwagen, Susan L. Hepburn, Lynette M. Herbert, Michelle Heyman, Lorrin Higgins, Brittani A. Hilscher, Eugenia Hofammann, Margaret Hojlo, Susannah Horner, Alexander Hsieh, Jianhong Hu, Lark Y. Huang-Storms, Samantha Hunter, Hanna Hutter, Dalia Istephanous, Suma Jacob, Nancy Jaramillo, Anna Jelinek, William Jensen, Mark Jones, Michelle Jordy, Alissa Jorgenson, Roger Jou, A. Pablo Juarez, Jessyca Judge, Jane Jurayj, Taylor Kalmus, Stephen Kanne, Hannah E. Kaplan, Lauren Kasparson, Matt Kent, So Hyun Kim, Alex Kitaygorodsky, Hope Koene, Tanner Koomar, Viktoriya Korchina, Anthony D. Krentz, Hoa Lam Schneider, Elena Lamarche, Erica Lampert, Rebecca J. Landa, Alex E. Lash, J. Kiely Law, Noah Lawson, Kevin Layman, Holly Lechniak, Sandra Lee, Soo J. Lee, Daniel Lee Coury, Christa Lese Martin, Laurie Lesher, Hai Li, Deana Li, Natasha Lillie, Xiuping Liu, Marilyn Lopez, Catherine Lord, Kathryn Lowe, Malcolm D. Mallardi, Patricia Manning, Julie Manoharan, Richard Marini, Christa Martin, Gabriela Marzano, Andrew Mason, Sarah Mastel, Emily T. Matthews, James T. McCracken, Alexander P. McKenzie, Alexandra Miceli, Jacob J. Michaelson, Anna Milliken, Sarah Mohiuddin, Zeineen Momin, Michael J. Morrier, Stewart Mostofsky, Shwetha Murali, Donna Muzny, Vincent J. Myers, Jason Neely, Caitlin Nessner, Amy Nicholson, Melanie Niederhouser, Kaela O'Brien, Eirene O'Connor, Molly O'Neil, Cesar Ochoa-Lubinoff, Jessica Orobio, Libby Orrick, Crissy Ortiz, Opal Y. Ousley, Lillian D. Pacheco, Samiza Palmer, Juhi Pandey, Anna Marie Paolicelli, Katherine G. Pawlowski, Karen L. Pierce, Joseph Piven, Samantha Plate, Jose Polanco, Marc Popp, Natalie Pottschmidt, Tiziano Pramparo, Lisa M. Prock, Hongjian Qi, Shanping Qiu, Angela L. Rachubinski, Kshitij Rajbhandari, Rishiraj Rana, Vai Ranganathan, Laurie Raymond, Rick Remington, Catherine E. Rice, Chris Rigby, Beverly E. Robertson, Nicki Rodriguez, Barbara Rodriguez, Katherine Roeder, Cordelia R. Rosenberg, Nicole Russo-Ponsaran, Elizabeth Ruzzo, Aniko Sabo, Mustafa Sahin, Andrei Salomatov, Sophia Sandhu, Susan Santangelo, Dustin E. Sarver, Jessica Scherr, Robert T. Schultz, Kathryn A. Schweers, Rebecca Shaffer, Swapnil Shah, Tamim Shaikh, Yufeng Shen, Amanda D. Shocklee, Lisa Shulman, Matthew Siegel, Andrea R. Simon, Laura Simon, Vini Singh, Steve Skinner, Christopher J. Smith, Kaitlin Smith, LeeAnne G. Snyder, Latha V. Soorya, Aubrie Soucy, Danielle Stamps, Morgan Steele, Alexandra N. Stephens, Colleen M. Stock, Catherine Sullivan, James S. Sutcliffe, Amy Swanson, Maira Tafolla, Nicole Takahashi, Cora Taylor, Carrie Thomas, Taylor Thomas, Samantha Thompson, Jennifer Tjernagel, Tychele N. Turner, Maria Valicenti-McDermott, Bonnie Van Metre, Candace Van Wade, Jeremy Veenstra-Vanderweele, Mary Verdi, Brianna M. Vernoia, Natalia Volfovsky, Jermel Wallace, Corrie H. Walston, Jiayao Wang, Tianyun Wang, Zachary Warren, Lucy Wasserburg, Sabrina White, L. Casey White-Lehman, Ericka L. Wodka, Simon Xu, Wha S. Yang, Meredith Yinger, Sarah Youngkin, Timothy Yu, Lan Zang, Hana Zaydens, Haicang Zhang, Haoquan Zhao, Xueya Zhou, and Allyson Zick
Subjects: Causes of autism, Male, Health Knowledge, Attitudes, Practice, Adolescent, Language delay, Autism Spectrum Disorder, Ethnic group, behavioral disciplines and activities, 03 medical and health sciences, 0302 clinical medicine, 030225 pediatrics, mental disorders, Intellectual disability, medicine, Ethnicity, Humans, 030212 general & internal medicine, Autistic Disorder, Child, Minority Groups, Vaccines, General Veterinary, General Immunology and Microbiology, business.industry, Vaccination, Public Health, Environmental and Occupational Health, medicine.disease, Infectious Diseases, Caregivers, Autism spectrum disorder, Child, Preschool, Cohort, Molecular Medicine, Autism, Female, business, Developmental regression, Clinical psychology
Abstract: Background Fear of autism has led to a decline in childhood-immunization uptake and to a resurgence of preventable infectious diseases. Identifying characteristics of parents who believe in a causal role of vaccines for autism spectrum disorder (ASD) in their child may help targeting educational activities and improve adherence to the immunization schedule. Objectives To compare caregivers of children with ASD who agree or disagree that vaccines play an etiological role in autism for 1) socio-demographics characteristics and 2) developmental and clinical profiles of their children. Methods Data from 16,525 participants with ASD under age 18 were obtained from SPARK, a national research cohort started in 2016. Caregivers completed questionnaires at registration that included questions on beliefs about the etiologic role of childhood immunizations and other factors in ASD. Data were available about family socio-demographic characteristics, first symptoms of autism, developmental regression, co-occurring psychiatric disorders, seizures, and current levels of functioning. Results Participants with ASD were 80.4% male with a mean age of 8.1 years (SD = 4.1). Overall, 16.5% of caregivers endorsed immunizations as perceived causes of autism. Compared to caregivers who disagreed with vaccines as a cause for ASD, those who believed in vaccine causation came disproportionately from ethnic minority, less educated, and less wealthy backgrounds. More often their children had experienced developmental regression involving language and other skills, were diagnosed earlier, had lost skills during the second year of life, and had worse language, adaptive, and cognitive outcomes. Conclusion One in six caregivers who participate in a national research cohort believe that child immunizations could be a cause of autism in their child. Parent social background (non-White, less educated) and child developmental features (regression in second year, poorer language skills, and worse adaptive outcomes) index caregivers who are more likely to harbor these beliefs and could benefit from targeted educational activities.
Published: 2019

21. A Novel HumanCAMK2AMutation Disrupts Dendritic Morphology and Synaptic Transmission, and Causes ASD-Related Behaviors

Author: James S. Sutcliffe, Tyler L. Perfitt, Roger J. Colbran, Xiaohan Wang, Walker P. Parrish, Brian C. Shonesy, Douglas P. Mortlock, Christian R. Marks, Jason R. Stephenson, and Terunaga Nakagawa
Subjects: 0301 basic medicine, Mutation, Dendritic spine, General Neuroscience, Autophosphorylation, Biology, Neurotransmission, medicine.disease_cause, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Ca2+/calmodulin-dependent protein kinase, mental disorders, Forebrain, CAMK2A, medicine, NMDA receptor, Neuroscience, 030217 neurology & neurosurgery
Abstract: Characterizing the functional impact of novel mutations linked to autism spectrum disorder (ASD) provides a deeper mechanistic understanding of the underlying pathophysiological mechanisms. Here we show that ade novoGlu183 to Val (E183V) mutation in the CaMKIIα catalytic domain, identified in a proband diagnosed with ASD, decreases both CaMKIIα substrate phosphorylation and regulatory autophosphorylation, and that the mutated kinase acts in a dominant-negative manner to reduce CaMKIIα-WT autophosphorylation. The E183V mutation also reduces CaMKIIα binding to established ASD-linked proteins, such as Shank3 and subunits ofl-type calcium channels and NMDA receptors, and increases CaMKIIα turnover in intact cells. In cultured neurons, the E183V mutation reduces CaMKIIα targeting to dendritic spines. Moreover, neuronal expression of CaMKIIα-E183V increases dendritic arborization and decreases both dendritic spine density and excitatory synaptic transmission. Mice with a knock-in CaMKIIα-E183V mutation have lower total forebrain CaMKIIα levels, with reduced targeting to synaptic subcellular fractions. The CaMKIIα-E183V mice also display aberrant behavioral phenotypes, including hyperactivity, social interaction deficits, and increased repetitive behaviors. Together, these data suggest that CaMKIIα plays a previously unappreciated role in ASD-related synaptic and behavioral phenotypes.SIGNIFICANCE STATEMENTMany autism spectrum disorder (ASD)-linked mutations disrupt the function of synaptic proteins, but no single gene accounts for >1% of total ASD cases. The molecular networks and mechanisms that couple the primary deficits caused by these individual mutations to core behavioral symptoms of ASD remain poorly understood. Here, we provide the first characterization of a mutation in the gene encoding CaMKIIα linked to a specific neuropsychiatric disorder. Our findings demonstrate that this ASD-linkedde novo CAMK2Amutation disrupts multiple CaMKII functions, induces synaptic deficits, and causes ASD-related behavioral alterations, providing novel insights into the synaptic mechanisms contributing to ASD.
Published: 2017
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22. An Automated Functional Annotation Pipeline That Rapidly Prioritizes Clinically Relevant Genes for Autism Spectrum Disorder

Author: Olivia J. Veatch, Beth A. Malow, Merlin G. Butler, James S. Sutcliffe, Sarah H. Elsea, and Jason H. Moore
Subjects: Candidate gene, medicine.medical_specialty, Autism Spectrum Disorder, human genetics, autism, Genome-wide association study, Computational biology, Biology, Article, Catalysis, lcsh:Chemistry, Inorganic Chemistry, Automation, Mice, Protein Interaction Mapping, medicine, Animals, Humans, Gene Regulatory Networks, Copy-number variation, Physical and Theoretical Chemistry, lcsh:QH301-705.5, Molecular Biology, Spectroscopy, Genetic testing, Genetic association, Mammals, pharmacogenomics, medicine.diagnostic_test, Organic Chemistry, Brain, Molecular Sequence Annotation, bioinformatics, General Medicine, Human genetics, Computer Science Applications, Phenotype, Gene Expression Regulation, lcsh:Biology (General), lcsh:QD1-999, Pharmacogenomics, Mutation, Medical genetics
Abstract: Human genetic studies have implicated more than a hundred genes in Autism Spectrum Disorder (ASD). Understanding how variation in implicated genes influence expression of co-occurring conditions and drug response can inform more effective, personalized approaches for treatment of individuals with ASD. Rapidly translating this information into the clinic requires efficient algorithms to sort through the myriad of genes implicated by rare gene-damaging single nucleotide and copy number variants, and common variation detected in genome-wide association studies (GWAS). To pinpoint genes that are more likely to have clinically relevant variants, we developed a functional annotation pipeline. We defined clinical relevance in this project as any ASD associated gene with evidence indicating a patient may have a complex, co-occurring condition that requires direct intervention (e.g., sleep and gastrointestinal disturbances, attention deficit hyperactivity, anxiety, seizures, depression), or is relevant to drug development and/or approaches to maximizing efficacy and minimizing adverse events (i.e., pharmacogenomics). Starting with a list of all candidate genes implicated in all manifestations of ASD (i.e., idiopathic and syndromic), this pipeline uses databases that represent multiple lines of evidence to identify genes: (1) expressed in the human brain, (2) involved in ASD-relevant biological processes and resulting in analogous phenotypes in mice, (3) whose products are targeted by approved pharmaceutical compounds or possessing pharmacogenetic variation and (4) whose products directly interact with those of genes with variants recommended to be tested for by the American College of Medical Genetics (ACMG). Compared with 1000 gene sets, each with a random selection of human protein coding genes, more genes in the ASD set were annotated for each category evaluated (p &le, 1.99 &times, 10&minus, 2). Of the 956 ASD-implicated genes in the full set, 18 were flagged based on evidence in all categories. Fewer genes from randomly drawn sets were annotated in all categories (x = 8.02, sd = 2.56, p = 7.75 &times, 4). Notably, none of the prioritized genes are represented among the 59 genes compiled by the ACMG, and 78% had a pathogenic or likely pathogenic variant in ClinVar. Results from this work should rapidly prioritize potentially actionable results from genetic studies and, in turn, inform future work toward clinical decision support for personalized care based on genetic testing.
Published: 2020
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23. Structural, functional, and behavioral insights of dopamine dysfunction revealed by a deletion in

Author: Nicholas G, Campbell, Aparna, Shekar, Jenny I, Aguilar, Dungeng, Peng, Vikas, Navratna, Dongxue, Yang, Alexander N, Morley, Amanda M, Duran, Greta, Galli, Brian, O'Grady, Ramnarayan, Ramachandran, James S, Sutcliffe, Harald H, Sitte, Kevin, Erreger, Jens, Meiler, Thomas, Stockner, Leon M, Bellan, Heinrich J G, Matthies, Eric, Gouaux, Hassane S, Mchaourab, and Aurelio, Galli
Subjects: Models, Molecular, Dopamine Plasma Membrane Transport Proteins, Autism Spectrum Disorder, Dopamine, Electron Spin Resonance Spectroscopy, Fear, Crystallography, X-Ray, Animals, Genetically Modified, Drosophila melanogaster, PNAS Plus, Mutation, Animals, Humans, Interpersonal Relations, Locomotion, Sequence Deletion
Abstract: The human dopamine (DA) transporter (hDAT) mediates clearance of DA. Genetic variants in hDAT have been associated with DA dysfunction, a complication associated with several brain disorders, including autism spectrum disorder (ASD). Here, we investigated the structural and behavioral bases of an ASD-associated in-frame deletion in hDAT at N336 (∆N336). We uncovered that the deletion promoted a previously unobserved conformation of the intracellular gate of the transporter, likely representing the rate-limiting step of the transport process. It is defined by a “half-open and inward-facing” state (HOIF) of the intracellular gate that is stabilized by a network of interactions conserved phylogenetically, as we demonstrated in hDAT by Rosetta molecular modeling and fine-grained simulations, as well as in its bacterial homolog leucine transporter by electron paramagnetic resonance analysis and X-ray crystallography. The stabilization of the HOIF state is associated both with DA dysfunctions demonstrated in isolated brains of Drosophila melanogaster expressing hDAT ∆N336 and with abnormal behaviors observed at high-time resolution. These flies display increased fear, impaired social interactions, and locomotion traits we associate with DA dysfunction and the HOIF state. Together, our results describe how a genetic variation causes DA dysfunction and abnormal behaviors by stabilizing a HOIF state of the transporter.
Published: 2019

24. The Drosophila Gene

Author: Kevin A, Hope, Daniel, Flatten, Peter, Cavitch, Ben, May, James S, Sutcliffe, Janis, O'Donnell, and Lawrence T, Reiter
Subjects: heparin sulfate, Genetics, autism, GWAS, Drosophila, DGRP, Original Research
Abstract: Major challenges to identifying genes that contribute to autism spectrum disorder (ASD) risk include the availability of large ASD cohorts, the contribution of many genes overall, and small effect sizes attributable to common gene variants. An alternative approach is to use a model organism to detect alleles that impact ASD-relevant behaviors and ask whether homologous human genes infer ASD risk. Here we utilized the Drosophila genetic reference panel (DGRP) as a tool to probe for perturbation in naturally occurring behaviors in Drosophila melanogaster that are analogous to three behavior domains: impaired social communication, social reciprocity and repetitive behaviors or restricted interests. Using 40 of the available DGRP lines, we identified single nucleotide polymorphisms (SNPs) in or near genes controlling these behavior domains, including ASD gene orthologs (neurexin 4 and neuroligin 2), an intellectual disability (ID) gene homolog (kirre), and a gene encoding a heparan sulfate (HS) modifying enzyme called sulfateless (sfl). SNPs in sfl were associated with all three ASD-like behaviors. Using RNAi knock-down of neuronal sfl expression, we observed significant changes in expressive and receptive communication during mating, decreased grooming behavior, and increased social spacing. These results suggest a role for HS proteoglycan synthesis and/or modification in normal social communication, repetitive behavior, and social interaction in flies. Finally, using the DGRP to directly identify genetic effects relevant to a neuropsychiatric disorder further demonstrates the utility of the Drosophila system in the discovery of genes relevant to human disease.
Published: 2019

25. Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

Author: Laura M. Thornton, Paul Lichtenstein, Verneri Anttila, Diego Albani, Josep Antoni Ramos-Quiroga, Roger A.H. Adan, Monika Schlögelhofer, Stephen Sanders, Enrique Castelao, Klaus Berger, Nina Dalkner, Urs Heilbronner, Engilbert Sigurdsson, Pablo Mir, Fuquan Zhang, James T.R. Walters, Patrick F. Sullivan, Fragiskos Gonidakis, F. Kyle Satterstrom, Sara Marsal, Per Hoffmann, Amy Perry, Valentina Ciullo, Beate Herpertz-Dahlmann, Catharina Lavebratt, Kieran C. Murphy, Tammy Hedderly, Hyun Ju Hong, Evald Saemundsen, Sascha B. Fischer, Hailiang Huang, Andrew D. Grotzinger, Nienke Vulink, Murray B. Stein, Mark A. Frye, Laura J. Scott, David Curtis, Todd Lencz, Janiece E. DeSocio, Richard A. Belliveau, Eduard Vieta, Andrea Dietrich, Wade H. Berrettini, Kenneth S. Kendler, Marquis P. Vawter, Paul S. Nestadt, Michael E. Talkowski, Manuel Mattheisen, Ingrid Agartz, Elisa Docampo, Bernhard T. Baune, Stefan Ehrlich, Jolanta Lissowska, Felecia Cerrato, Terje Nærland, Robin M. Murray, Jennifer Reichert, Annette M. Hartmann, Hannelore Ehrenreich, Howard J. Edenberg, Katherine A. Halmi, Qingqin S. Li, Peristera Paschou, Marie Bækvad-Hansen, Esther Walton, Alessio Maria Monteleone, Ted Reichborn-Kjennerud, Frank Bellivier, Jungeun Song, D. Blake Woodside, Young Shin Kim, Jochen Seitz, Jacques Pantel, Palmiero Monteleone, Erika L. Nurmi, Rodney J. Scott, Kang Sim, Ekaterina A. Khramtsova, Udo Dannlowski, Rolf Adolfsson, Danielle Posthuma, Melissa J. Green, Laura Ibanez-Gomez, Jakob Grove, Elvira Bramon, Gregory L. Hanna, Cynthia M. Bulik, Yiran Guo, Stephan Ripke, Mary M. Robertson, Harald N. Aschauer, Adebayo Anjorin, Joanna Martin, Bertram Müller-Myhsok, Deborah Kaminská, Jose Guzman-Parra, Benedetta Nacmias, Erik G. Jönsson, Jonathan R. I. Coleman, Douglas F. Levinson, Hamdi Mbarek, Gun Peggy Knudsen, Karin Egberts, Mette Nyegaard, Patrik K. E. Magnusson, Mark Adams, Douglas Blackwood, Elisabeth B. Binder, Marcus Ising, Anna R. Docherty, Jim van Os, Nese Direk, Lina Martinsson, Maria Arranz, Christel M. Middeldorp, Stefan Kloiber, Sintia Iole Belangero, Eske M. Derks, Ingrid Melle, Erlend Bøen, Jan Haavik, Federica Piras, Unna N. Danner, Anil K. Malhotra, Gerome Breen, Stephen V. Faraone, Amanda B Zheutlin, Timothy Poterba, Stephan Ruhrmann, Inge Joa, Ulrik Fredrik Malt, Sarah E. Bergen, Federica Tozzi, Lauren A. Weiss, Hana Papezova, Dominic Holland, Elliot S. Gershon, Jaakko Kaprio, Merete Nordentoft, Scott D. Gordon, Christopher Pittenger, Keun-Ah Cheon, Jennifer Jordan, Philip Gorwood, Myrna M. Weissman, Preben Bo Mortensen, Melissa A. Munn-Chernoff, Isobel Heyman, Eun-Young Shin, Christie L. Burton, Katherine Gordon-Smith, Sietske G. Helder, Peter Nagy, Till F. M. Andlauer, Yunpeng Wang, Young Key Kim, Kate Langley, Søren Dalsgaard, Richard Delorme, Torbjørn Elvsåshagen, Bennett L. Leventhal, Giovanni Gambaro, Christos Androutsos, Jennifer Tübing, Marion Roberts, Annelie Nordin Adolfsson, Hakon Hakonarson, Dorothy E. Grice, Vaughan J. Carr, Konstantinos Tziouvas, Stephanie Zerwas, Cathy L. Barr, Michael Conlon O'Donovan, Per Qvist, Beate St Pourcain, Samuel Kuperman, Leila Karhunen, Jack Samuels, Markus M. Nöthen, Martien J H Kas, Alfonso Tortorella, Mikael Landén, Jennifer Crosbie, Marco A. Grados, Joanna M. Biernacka, Paul D. Arnold, Irene A. Malaty, Jurjen J. Luykx, Nicholas Bass, Naomi R. Wray, Catharina A. Hartman, Christina M. Hultman, Michael S. Okun, Brandon Wormley, Michael Bauer, Daniel J. Smith, Ian Jones, Kathryn Roeder, Brien P. Riley, Caroline M. Nievergelt, Katrin Gade, Sarah Kittel-Schneider, Roy H. Perlis, James R. Mitchell, Ziarih Hawi, James Lee, Liz Forty, William E. Bunney, Thomas Damm Als, Catherine Schaefer, Digby Quested, Matteo Cassina, Anna C. Koller, Patrick Turley, Agnes A. Steixner, Anu Raevuori, Assen Jablensky, Peter Holmans, Dong-Ho Song, S. Evelyn Stewart, Jan K. Buitelaar, Fernando S. Goes, Alexander Münchau, Ayman H. Fanous, Nicolas Ramoz, James B. Potash, Monica Gratacos Mayora, Tobias Banaschewski, Céline S. Reinbold, Renata Rizzo, Arianna Di Florio, Lenka Foretova, Gianfranco Spalletta, Aarno Palotie, Eleftheria Zeggini, Lawrence W. Brown, Julie K. O'Toole, Lynn E. DeLisi, Ulrich Schall, Mary Roberson, Barbara J. Coffey, Bryan J. Mowry, Murray J. Cairns, Dan J. Stein, Glyn Lewis, Marta Ribasés, C. Robert Cloninger, Bettina Konte, John B. Vincent, Duncan S. Palmer, Radhika Kandaswamy, Christine Ladd-Acosta, Lars Alfredsson, Frank Visscher, Ulrike Schmidt, Aiden Corvin, Susan L. Santangelo, Brenda W.J.H. Penninx, David J. Porteous, Tetsuya Ando, Arne E. Vaaler, Bru Cormand, Laura Carlberg, Claire Churchhouse, Manfred Stuhrmann, Niamh Mullins, Christine Søholm Hansen, Cathy L. Budman, Hartmut Imgart, Dan E. Arking, James J. McGough, Michael Gill, Christel Depienne, Roland Burghardt, Antonio Julià, Anders M. Dale, Sven Sandin, Katharina Domschke, Maria Grigoroiu-Serbanescu, Susana Jiménez-Murcia, Marianne Giørtz Pedersen, Zsanett Tarnok, Gisli Baldursson, Michele T. Pato, David M. Hougaard, Thorgeir E. Thorgeirsson, Katharina Bey, Kerstin J. Plessen, Margaret A. Richter, Ole A. Andreassen, Claudine Laurent-Levinson, Leonid Padyukov, Jacques Mallet, Daniela Degortes, John R. Kelsoe, Robert D. Levitan, Andreas Reif, Chaim Huyser, Derek W. Morris, Sina Wanderer, William Byerley, Edna Grünblatt, E.J.C. de Geus, Hyejung Won, Josephine Elia, Rudolf Uher, Jay A. Tischfield, Andreas Karwautz, Gustavo Turecki, Pieter J. Hoekstra, Dorret I. Boomsma, Jacob Rosenthal, Daniele Cusi, Michael C. Neale, Sara Mostafavi, Gwyneth Zai, F. Anthony O'Neill, Gary Donohoe, Karola Rehnström, Harry Brandt, Helena Gaspar, Francis J. McMahon, H-Erich Wichmann, Andrew W. Bergen, Giovanni Coppola, Lea K. Davis, Lenka Slachtova, Olav B. Smeland, Erin C. Dunn, Nicholas G. Martin, Allan L. Naarden, Jo Knight, Cristina Sánchez-Mora, Masashi Ikeda, Lorraine Southam, Sandro Sorbi, Barbara Franke, Martin Schalling, Russell Schachar, Yen-Chen Anne Feng, Kirsten R. Müller-Vahl, André Scherag, Zhaozhong Zhu, Eric A. Storch, Páll Magnússon, David Cohen, Olafur O Gudmundsson, Harvey S. Singer, Brian Kelly, Jonas Bybjerg-Grauholm, Blanca Garcia-Delgar, Thomas Hansen, Carmel M. Loughland, Christine Lochner, Stacy Steinberg, Martin Woods, Jorge A. Quiroz, Raquel Rabionet, Alden Y. Huang, Janice M. Fullerton, María Soler Artigas, Hans J. Grabe, Philip Asherson, Margit Burmeister, Alicia R. Martin, Martin A. Kennedy, Janet Treasure, Anders D. Børglum, Eva C. Schulte, Andreas Hartmann, Frans Henskens, Youl-Ri Kim, Jens Treutlein, Joanna Hauser, Manfred M. Fichter, Damiaan Denys, Ann E. Pulver, Kelly L. Klump, Paul Sandor, Michael Wagner, Philippe Courtet, Sandra Van der Auwera, Susanne Lucae, Eystein Stordal, Michel G. Nivard, Maurizio Clementi, Astrid Morer, Philip B. Mitchell, Huda Akil, Edwin H. Cook, Jennifer L. Moran, Donald W. Black, Jeremiah M. Scharf, Jana Strohmaier, Colm McDonald, Meg M.-J. Wang, Richard M. Myers, Stephanie Godard, Pablo V. Gejman, Athanasios Maras, Marcella Rietschel, Nancy G. Buccola, Konstantinos Hatzikotoulas, Dalila Pinto, Jouke-Jan Hottenga, Kari Stefansson, James S. Sutcliffe, Andres Metspalu, Amaia Hervás, Joel Gelernter, Wolfgang Herzog, Paula Rovira, Gunnar Morken, Tara Murphy, Mark Weiser, Vincent Millischer, Frank Dudbridge, Dan Rujescu, Vladimir Bencko, Valdo Ricca, Kimberly Chambert, Guy A. Rouleau, James J. Crowley, Thomas G. Schulze, Toni-Kim Clarke, Triinu Peters, Gudrun Wagner, Daniel A. Geller, Henry R. Kranzler, G. Bragi Walters, Vera Golimbet, Clement C. Zai, Nigel Williams, Andreas Birgegård, Joseph D. Buxbaum, Elliot M. Tucker-Drob, Jerome C. Foo, Tracey L. Petryshen, Daniel P. Howrigan, Hunna J. Watson, Franziska Degenhardt, Peter R. Schofield, Jesper Buchhave Poulsen, Stefan Herms, Johannes Hebebrand, Mario Maj, George Kirov, Fabrizio Piras, Sara McDevitt, James T. McCracken, Carol A. Mathews, Michael John Owen, Peter Falkai, Donald L. Gilbert, Enda M. Byrne, Fernando Fernández-Aranda, Csaba Barta, Stéphane Jamain, Jubao Duan, Dongmei Yu, Danielle C. Cath, Ole Mors, Sigrun Hope, Laramie E. Duncan, Alan R. Sanders, Sang-Yun Oh, Carsten Bøcker Pedersen, Henning Tiemeier, Roseann E. Peterson, Raymond K. Walters, Margarita C T Slof-Op 't Landt, Madeline Alexander, Stephanie Le Hellard, Ina Giegling, Annemarie A. van Elburg, Steven P. Hamilton, Vesna Boraska Perica, Thomas V. Fernandez, Danielle M. Dick, Francesco Bettella, Roel A. Ophoff, Grant W. Montgomery, Gerald Nestadt, Nakao Iwata, Jessica H. Baker, Walter H. Kaye, Jeremy M. Silverman, Mark J. Daly, Robert A. King, Sarah E. Medland, Anastasios Konstantinidis, Robert D. Oades, Samuel H. Zinner, Steven Crawford, Daniel H. Geschwind, Patrick W. L. Leung, Martin Alda, Marie Navratilova, Pak C. Sham, Paul A. Tooney, Tian Ge, Veit Roessner, Martin Preisig, Thomas Werge, Eli A. Stahl, David A. Collier, Stephanie H. Witt, Dermot Walsh, Miquel Casas, Anna Keski-Rahkonen, Jane H. Christensen, Silvia De Rubeis, Giorgio Pistis, Sven Cichon, Bruno Etain, Dominique Campion, O. Joseph Bienvenu, Christian Dina, Manolis Kogevinas, Thomas Espeseth, Benjamin M. Neale, Ditte Demontis, Klaus-Peter Lesch, Marina Mitjans, Tiffany A. Greenwood, Marcos Madruga-Garrido, Sibylle G. Schwab, Oedegaard Ketil Joachim, Hreinn Stefansson, Sara A. Paciga, Monica Forzan, Dieter B. Wildenauer, Lena Backlund, A. Jeremy Willsey, Carlos N. Pato, Nicholas John Craddock, Inge A. Meijer, Sandra K. Loo, Filip Rybakowski, Tracey D. Wade, Scott J. Crow, Bernard Lerer, Valsamma Eapen, Esben Agerbo, Andrew M. McIntosh, Luis Augusto Rohde, Susan L. McElroy, Stephan Zipfel, Peter P. Zandi, Cathryn M. Lewis, Lars Klareskog, Martin Begemann, Phil Lee, Richard Anney, Mark A. Bellgrove, Lisa Jones, Andreas J. Forstner, Agnieszka Słopień, Hilary Coon, Dong Li, Alessandro Serretti, Carsten Horn, Christos Pantelis, Ryan L. Collins, David M. Howard, Lucía Colodro-Conde, Pippa A. Thomson, Martin Hautzinger, Alysa E. Doyle, Julie Hagstrøm, Oliver S. P. Davis, Karen S. Mitchell, Jordan W. Smoller, Michael Strober, John I. Nurnberger, Andrea G. Ludolph, Monika Budde, Anna Maaser, Lambertus Klei, Aribert Rothenberger, Yulia Worbe, Fabian Streit, James L. Kennedy, Barbara E. Stranger, Ashley Dumont, Jianxin Shi, Dale R. Nyholt, Craig Johnson, Jonna Kuntsi, Yun-Joo Koh, Loes M. Olde Loohuis, Robert B. Freedman, Anke Hinney, Susanne Walitza, Enrico Domenici, Margarita Rivera, Sodahm Kook, Erica Greenberg, Tetyana Zayats, Josef Frank, Gary A. Heiman, Andrew McQuillin, Abraham Reichenberg, Piotr M. Czerski, Humberto Nicolini, Lee P.H., Anttila V., Won H., Feng Y.-C.A., Rosenthal J., Zhu Z., Tucker-Drob E.M., Nivard M.G., Grotzinger A.D., Posthuma D., Wang M.M.-J., Yu D., Stahl E.A., Walters R.K., Anney R.J.L., Duncan L.E., Ge T., Adolfsson R., Banaschewski T., Belangero S., Cook E.H., Coppola G., Derks E.M., Hoekstra P.J., Kaprio J., Keski-Rahkonen A., Kirov G., Kranzler H.R., Luykx J.J., Rohde L.A., Zai C.C., Agerbo E., Arranz M.J., Asherson P., Baekvad-Hansen M., Baldursson G., Bellgrove M., Belliveau R.A., Buitelaar J., Burton C.L., Bybjerg-Grauholm J., Casas M., Cerrato F., Chambert K., Churchhouse C., Cormand B., Crosbie J., Dalsgaard S., Demontis D., Doyle A.E., Dumont A., Elia J., Grove J., Gudmundsson O.O., Haavik J., Hakonarson H., Hansen C.S., Hartman C.A., Hawi Z., Hervas A., Hougaard D.M., Howrigan D.P., Huang H., Kuntsi J., Langley K., Lesch K.-P., Leung P.W.L., Loo S.K., Martin J., Martin A.R., McGough J.J., Medland S.E., Moran J.L., Mors O., Mortensen P.B., Oades R.D., Palmer D.S., Pedersen C.B., Pedersen M.G., Peters T., Poterba T., Poulsen J.B., Ramos-Quiroga J.A., Reif A., Ribases M., Rothenberger A., Rovira P., Sanchez-Mora C., Satterstrom F.K., Schachar R., Artigas M.S., Steinberg S., Stefansson H., Turley P., Walters G.B., Werge T., Zayats T., Arking D.E., Bettella F., Buxbaum J.D., Christensen J.H., Collins R.L., Coon H., De Rubeis S., Delorme R., Grice D.E., Hansen T.F., Holmans P.A., Hope S., Hultman C.M., Klei L., Ladd-Acosta C., Magnusson P., Naerland T., Nyegaard M., Pinto D., Qvist P., Rehnstrom K., Reichenberg A., Reichert J., Roeder K., Rouleau G.A., Saemundsen E., Sanders S.J., Sandin S., St Pourcain B., Stefansson K., Sutcliffe J.S., Talkowski M.E., Weiss L.A., Willsey A.J., Agartz I., Akil H., Albani D., Alda M., Als T.D., Anjorin A., Backlund L., Bass N., Bauer M., Baune B.T., Bellivier F., Bergen S.E., Berrettini W.H., Biernacka J.M., Blackwood D.H.R., Boen E., Budde M., Bunney W., Burmeister M., Byerley W., Byrne E.M., Cichon S., Clarke T.-K., Coleman J.R.I., Craddock N., Curtis D., Czerski P.M., Dale A.M., Dalkner N., Dannlowski U., Degenhardt F., Di Florio A., Elvsashagen T., Etain B., Fischer S.B., Forstner A.J., Forty L., Frank J., Frye M., Fullerton J.M., Gade K., Gaspar H.A., Gershon E.S., Gill M., Goes F.S., Gordon S.D., Gordon-Smith K., Green M.J., Greenwood T.A., Grigoroiu-Serbanescu M., Guzman-Parra J., Hauser J., Hautzinger M., Heilbronner U., Herms S., Hoffmann P., Holland D., Jamain S., Jones I., Jones L.A., Kandaswamy R., Kelsoe J.R., Kennedy J.L., Joachim O.K., Kittel-Schneider S., Kogevinas M., Koller A.C., Lavebratt C., Lewis C.M., Li Q.S., Lissowska J., Loohuis L.M.O., Lucae S., Maaser A., Malt U.F., Martin N.G., Martinsson L., McElroy S.L., McMahon F.J., McQuillin A., Melle I., Metspalu A., Millischer V., Mitchell P.B., Montgomery G.W., Morken G., Morris D.W., Muller-Myhsok B., Mullins N., Myers R.M., Nievergelt C.M., Nordentoft M., Adolfsson A.N., Nothen M.M., Ophoff R.A., Owen M.J., Paciga S.A., Pato C.N., Pato M.T., Perlis R.H., Perry A., Potash J.B., Reinbold C.S., Rietschel M., Rivera M., Roberson M., Schalling M., Schofield P.R., Schulze T.G., Scott L.J., Serretti A., Sigurdsson E., Smeland O.B., Stordal E., Streit F., Strohmaier J., Thorgeirsson T.E., Treutlein J., Turecki G., Vaaler A.E., Vieta E., Vincent J.B., Wang Y., Witt S.H., Zandi P., Adan R.A.H., Alfredsson L., Ando T., Aschauer H., Baker J.H., Bencko V., Bergen A.W., Birgegard A., Perica V.B., Brandt H., Burghardt R., Carlberg L., Cassina M., Clementi M., Courtet P., Crawford S., Crow S., Crowley J.J., Danner U.N., Davis O.S.P., Degortes D., DeSocio J.E., Dick D.M., Dina C., Docampo E., Egberts K., Ehrlich S., Espeseth T., Fernandez-Aranda F., Fichter M.M., Foretova L., Forzan M., Gambaro G., Giegling I., Gonidakis F., Gorwood P., Mayora M.G., Guo Y., Halmi K.A., Hatzikotoulas K., Hebebrand J., Helder S.G., Herpertz-Dahlmann B., Herzog W., Hinney A., Imgart H., Jimenez-Murcia S., Johnson C., Jordan J., Julia A., Kaminska D., Karhunen L., Karwautz A., Kas M.J.H., Kaye W.H., Kennedy M.A., Kim Y.-R., Klareskog L., Klump K.L., Knudsen G.P.S., Landen M., Le Hellard S., Levitan R.D., Li D., Lichtenstein P., Maj M., Marsal S., McDevitt S., Mitchell J., Monteleone P., Monteleone A.M., Munn-Chernoff M.A., Nacmias B., Navratilova M., O'Toole J.K., Padyukov L., Pantel J., Papezova H., Rabionet R., Raevuori A., Ramoz N., Reichborn-Kjennerud T., Ricca V., Roberts M., Rujescu D., Rybakowski F., Scherag A., Schmidt U., Seitz J., Slachtova L., Slof-Op't Landt M.C.T., Slopien A., Sorbi S., Southam L., Strober M., Tortorella A., Tozzi F., Treasure J., Tziouvas K., van Elburg A.A., Wade T.D., Wagner G., Walton E., Watson H.J., Wichmann H.-E., Woodside D.B., Zeggini E., Zerwas S., Zipfel S., Adams M.J., Andlauer T.F.M., Berger K., Binder E.B., Boomsma D.I., Castelao E., Colodro-Conde L., Direk N., Docherty A.R., Domenici E., Domschke K., Dunn E.C., Foo J.C., de. 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H., Anttila, V., Won, H., Feng, Y. -C. A., Rosenthal, J., Zhu, Z., Tucker-Drob, E. M., Nivard, M. G., Grotzinger, A. D., Posthuma, D., Wang, M. M. -J., Yu, D., Stahl, E. A., Walters, R. K., Anney, R. J. L., Duncan, L. E., Ge, T., Adolfsson, R., Banaschewski, T., Belangero, S., Cook, E. H., Coppola, G., Derks, E. M., Hoekstra, P. J., Kaprio, J., Keski-Rahkonen, A., Kirov, G., Kranzler, H. R., Luykx, J. J., Rohde, L. A., Zai, C. C., Agerbo, E., Arranz, M. J., Asherson, P., Baekvad-Hansen, M., Baldursson, G., Bellgrove, M., Belliveau, R. A., Buitelaar, J., Burton, C. L., Bybjerg-Grauholm, J., Casas, M., Cerrato, F., Chambert, K., Churchhouse, C., Cormand, B., Crosbie, J., Dalsgaard, S., Demontis, D., Doyle, A. E., Dumont, A., Elia, J., Grove, J., Gudmundsson, O. O., Haavik, J., Hakonarson, H., Hansen, C. S., Hartman, C. A., Hawi, Z., Hervas, A., Hougaard, D. M., Howrigan, D. P., Huang, H., Kuntsi, J., Langley, K., Lesch, K. -P., Leung, P. W. L., Loo, S. K., Martin, J., Martin, A. 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B., Brandt, H., Burghardt, R., Carlberg, L., Cassina, M., Clementi, M., Courtet, P., Crawford, S., Crow, S., Crowley, J. J., Danner, U. N., Davis, O. S. P., Degortes, D., Desocio, J. E., Dick, D. M., Dina, C., Docampo, E., Egberts, K., Ehrlich, S., Espeseth, T., Fernandez-Aranda, F., Fichter, M. M., Foretova, L., Forzan, M., Gambaro, G., Giegling, I., Gonidakis, F., Gorwood, P., Mayora, M. G., Guo, Y., Halmi, K. A., Hatzikotoulas, K., Hebebrand, J., Helder, S. G., Herpertz-Dahlmann, B., Herzog, W., Hinney, A., Imgart, H., Jimenez-Murcia, S., Johnson, C., Jordan, J., Julia, A., Kaminska, D., Karhunen, L., Karwautz, A., Kas, M. J. H., Kaye, W. H., Kennedy, M. A., Kim, Y. -R., Klareskog, L., Klump, K. L., Knudsen, G. P. S., Landen, M., Le Hellard, S., Levitan, R. D., Li, D., Lichtenstein, P., Maj, M., Marsal, S., Mcdevitt, S., Mitchell, J., Monteleone, P., Monteleone, A. M., Munn-Chernoff, M. A., Nacmias, B., Navratilova, M., O'Toole, J. K., Padyukov, L., Pantel, J., Papezova, H., Rabionet, R., Raevuori, A., Ramoz, N., Reichborn-Kjennerud, T., Ricca, V., Roberts, M., Rujescu, D., Rybakowski, F., Scherag, A., Schmidt, U., Seitz, J., Slachtova, L., Slof-Op't Landt, M. C. T., Slopien, A., Sorbi, S., Southam, L., Strober, M., Tortorella, A., Tozzi, F., Treasure, J., Tziouvas, K., van Elburg, A. A., Wade, T. D., Wagner, G., Walton, E., Watson, H. J., Wichmann, H. -E., Woodside, D. B., Zeggini, E., Zerwas, S., Zipfel, S., Adams, M. J., Andlauer, T. F. M., Berger, K., Binder, E. B., Boomsma, D. I., Castelao, E., Colodro-Conde, L., Direk, N., Docherty, A. R., Domenici, E., Domschke, K., Dunn, E. C., Foo, J. C., D, e. Geus E. J. C., Grabe, H. J., Hamilton, S. P., Horn, C., Hottenga, J. -J., Howard, D., Ising, M., Kloiber, S., Levinson, D. F., Lewis, G., Magnusson, P. K. E., Mbarek, H., Middeldorp, C. M., Mostafavi, S., Nyholt, D. R., Penninx, B. W., Peterson, R. E., Pistis, G., Porteous, D. J., Preisig, M., Quiroz, J. A., Schaefer, C., Schulte, E. C., Shi, J., Smith, D. J., Thomson, P. A., Tiemeier, H., Uher, R., van der Auwera, S., Weissman, M. M., Alexander, M., Begemann, M., Bramon, E., Buccola, N. G., Cairns, M. J., Campion, D., Carr, V. J., Cloninger, C. R., Cohen, D., Collier, D. A., Corvin, A., Delisi, L. E., Donohoe, G., Dudbridge, F., Duan, J., Freedman, R., Gejman, P. V., Golimbet, V., Godard, S., Ehrenreich, H., Hartmann, A. M., Henskens, F. A., Ikeda, M., Iwata, N., Jablensky, A. V., Joa, I., Jonsson, E. G., Kelly, B. J., Knight, J., Konte, B., Laurent-Levinson, C., Lee, J., Lencz, T., Lerer, B., Loughland, C. M., Malhotra, A. K., Mallet, J., Mcdonald, C., Mitjans, M., Mowry, B. J., Murphy, K. C., Murray, R. M., O'Neill, F. A., Oh, S. -Y., Palotie, A., Pantelis, C., Pulver, A. E., Petryshen, T. L., Quested, D. J., Riley, B., Sanders, A. R., Schall, U., Schwab, S. G., Scott, R. J., Sham, P. C., Silverman, J. M., Sim, K., Steixner, A. A., Tooney, P. A., van Os, J., Vawter, M. P., Walsh, D., Weiser, M., Wildenauer, D. B., Williams, N. M., Wormley, B. K., Zhang, F., Androutsos, C., Arnold, P. D., Barr, C. L., Barta, C., Bey, K., Bienvenu, O. J., Black, D. W., Brown, L. W., Budman, C., Cath, D., Cheon, K. -A., Ciullo, V., Coffey, B. J., Cusi, D., Davis, L. K., Denys, D., Depienne, C., Dietrich, A., Eapen, V., Falkai, P., Fernandez, T. V., Garcia-Delgar, B., Geller, D. A., Gilbert, D. L., Grados, M. A., Greenberg, E., Grunblatt, E., Hagstrom, J., Hanna, G. L., Hartmann, A., Hedderly, T., Heiman, G. A., Heyman, I., Hong, H. J., Huang, A., Huyser, C., Ibanez-Gomez, L., Khramtsova, E. A., Kim, Y. K., Kim, Y. -S., King, R. A., Koh, Y. -J., Konstantinidis, A., Kook, S., Kuperman, S., Leventhal, B. L., Lochner, C., Ludolph, A. G., Madruga-Garrido, M., Malaty, I., Maras, A., Mccracken, J. T., Meijer, I. A., Mir, P., Morer, A., Muller-Vahl, K. R., Munchau, A., Murphy, T. L., Naarden, A., Nagy, P., Nestadt, G., Nestadt, P. S., Nicolini, H., Nurmi, E. L., Okun, M. S., Paschou, P., Piras, F., Pittenger, C., Plessen, K. J., Richter, M. A., Rizzo, R., Robertson, M., Roessner, V., Ruhrmann, S., Samuels, J. F., Sandor, P., Schlogelhofer, M., Shin, E. -Y., Singer, H., Song, D. -H., Song, J., Spalletta, G., Stein, D. J., Stewart, S. E., Storch, E. A., Stranger, B., Stuhrmann, M., Tarnok, Z., Tischfield, J. A., Tubing, J., Visscher, F., Vulink, N., Wagner, M., Walitza, S., Wanderer, S., Woods, M., Worbe, Y., Zai, G., Zinner, S. H., Sullivan, P. F., Franke, B., Daly, M. J., Bulik, C. M., Mcintosh, A. M., O'Donovan, M. C., Zheutlin, A., Andreassen, O. A., Borglum, A. D., Breen, G., Edenberg, H. J., Fanous, A. H., Faraone, S. V., Gelernter, J., Mathews, C. A., Mattheisen, M., Mitchell, K. S., Neale, M. C., Nurnberger, J. I., Ripke, S., Santangelo, S. L., Scharf, J. M., Stein, M. B., Thornton, L. M., Walters, J. T. R., Wray, N. R., Geschwind, D. H., Neale, B. M., Kendler, K. S., and Smoller, J. W.
Subjects: Netherlands Twin Register (NTR), cross-disorder genetics, Medizin, Genome-wide association study, Tourette syndrome, functional genomics, gene expression, genetic architecture, genetic correlation, GWAS, neurodevelopment, pleiotropy, psychiatric disorders, Psychiatric genetics, 0302 clinical medicine, Pleiotropy, functional genomic, WIDE ASSOCIATION, cross-disorder genetic, 0303 health sciences, Mental Disorders, Genetic Pleiotropy, HUMAN BRAIN, INSIGHTS, Autism spectrum disorder, Schizophrenia, DISEASES, GENETIC CORRELATIONS, medicine.medical_specialty, Neurogenesis, Quantitative Trait Loci, BF, Biology, GENOTYPE IMPUTATION, Psychiatric geneticscross-disorder geneticspsychiatric disorderspleiotropyneurodevelopmentGWASgenetic correlationgene expressiongenetic architecturefunctional genomics, Article, General Biochemistry, Genetics and Molecular Biology, psychiatric disorder, 03 medical and health sciences, SDG 3 - Good Health and Well-being, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, TRANSCRIPTOME, Psychiatry, 030304 developmental biology, Gwas, Psychiatric Genetics, Cross-disorder Genetics, Functional Genomics, Gene Expression, Genetic Architecture, Genetic Correlation, Neurodevelopment, Psychiatric Disorders, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], IDENTIFICATION, MUTATIONS, medicine.disease, Genetic architecture, DEMETHYLASE, RC0321, 1182 Biochemistry, cell and molecular biology, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Genetic influences on psychiatric disorders transcend diagnostic boundaries, suggesting substantial pleiotropy of contributing loci. However, the nature and mechanisms of these pleiotropic effects remain unclear. We performed analyses of 232,964 cases and 494,162 controls from genome-wide studies of anorexia nervosa, attention-deficit/hyper-activity disorder, autism spectrum disorder, bipolar disorder, major depression, obsessive-compulsive disorder, schizophrenia, and Tourette syndrome. Genetic correlation analyses revealed a meaningful structure within the eight disorders, identifying three groups of inter-related disorders. Meta-analysis across these eight disorders detected 109 loci associated with at least two psychiatric disorders, including 23 loci with pleiotropic effects on four or more disorders and 11 loci with antagonistic effects on multiple disorders. The pleiotropic loci are located within genes that show heightened expression in the brain throughout the lifespan, beginning prenatally in the second trimester, and play prominent roles in neurodevelopmental processes. These findings have important implications for psychiatric nosology, drug development, and risk prediction.
Published: 2019
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26. Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism

Author: Evelise Riber, Suma Jacob, Isabela Maya Wahys Silva, Edwin H. Cook, Jennifer Reichert, Merete Nordentoft, Jiebiao Wang, Kaitlin E. Samocha, John A. Sweeney, Elaine Cristina Zachi, Brooke Sheppard, Yunin Ludena, Maureen Mulhern, Lambertus Klei, Christina M. Hultman, Branko Aleksic, Paige M. Siper, Nell Maltman, Fátima Lopes, Jesslyn Jamison, Astanand Jugessur, Timothy W. Yu, F. Kyle Satterstrom, Tarjinder Singh, Bernie Devlin, Per Magnus, Mara Parellada, Louise Gallagher, Christine Stevens, Susan L. Santangelo, David J. Cutler, Shan Dong, Margaret A. Pericak-Vance, Norio Ozaki, Camilla Stoltenberg, Matthew W. State, Emma Wilkinson, Lauren A. Weiss, Michael L. Cuccaro, Stephen Sanders, Aparna Bhaduri, Brian H.Y. Chung, Maria del Pilar Trelles, Ezra Susser, Somer L. Bishop, Catalina Betancur, Donna M. Werling, Sabine Schlitt, Diego Lopergolo, Abraham Reichenberg, Judith Miller, Gabriela Soares, Karoline Teufel, David M. Hougaard, Enrico Domenici, Thomas Werge, Terho Lehtimäki, Sherif Gerges, Audrey Thurm, Emily Hansen-Kiss, Christopher T. Walsh, Michael Gill, Maria Rita Passos-Bueno, Aurora Currò, Utku Norman, Nancy J. Minshew, Harrison Brand, Elisa Giorgio, A. Ercument Cicek, Elaine T. Lim, Joseph D. Buxbaum, Chiara Fallerini, Caroline Dias, Miia Kaartinen, Gal Meiri, Rachel Nguyen, Isaac N. Pessah, J. Jay Gargus, Ryan N. Doan, Minshi Peng, Matthew W. Mosconi, Elizabeth E. Guerrero, Michael E. Talkowski, Iuliana Ionita-Laza, Carla Lintas, Gerry Schellenberg, Alessandra Renieri, Marcus C.Y. Chan, Stephen J. Guter, Danielle Halpern, Javier González-Peñas, Flora Tassone, So Lun Lee, Elise B. Robinson, Alfredo Brusco, Danielle de Paula Moreira, Bernardo Dalla Bernardina, Benjamin M. Neale, Gun Peggy Knudsen, Behrang Mahjani, Peter Szatmari, Elisabetta Trabetti, Lauren M. Schmitt, Kaija Puura, Mykyta Artomov, Rebecca J. Schmidt, Michael S. Breen, Mark J. Daly, Joon Yong An, Dara S. Manoach, Grace Schwartz, Hilary Coon, Christine M. Freitag, Andreas G. Chiocchetti, Eduarda Montenegro M. de Souza, Ryan L. Collins, Mafalda Barbosa, Emilie M. Wigdor, Montserrat Fernández-Prieto, Stephen W. Scherer, Anders D. Børglum, Jack A. Kosmicki, W. Ian Lipkin, Mullin H.C. Yu, Michael E. Zwick, Irva Hertz-Picciotto, Kathryn Roeder, Moyra Smith, Gail E. Herman, James S. Sutcliffe, Xinyi Xu, A. Jeremy Willsey, Alexander Kolevzon, Itaru Kushima, Menachem Fromer, Jakob Grove, Patrícia Maciel, Preben Bo Mortensen, Xin He, Aarno Palotie, Silvia De Rubeis, Idan Menashe, Jonas Bybjerg-Grauholm, Pål Surén, Antonio M. Persico, Ole Mors, Sven Sandin, Lara Tang, Eric M. Morrow, Pierandrea Muglia, Angel Carracedo, Ryan Yuen, and Giovanni Battista Ferrero
Subjects: False discovery rate, Regulation of gene expression, Genetics, 0303 health sciences, Biology, medicine.disease, Phenotype, 03 medical and health sciences, 0302 clinical medicine, Autism spectrum disorder, mental disorders, medicine, Autism, Copy-number variation, Gene, 030217 neurology & neurosurgery, Exome sequencing, 030304 developmental biology
Abstract: We present the largest exome sequencing study of autism spectrum disorder (ASD) to date (n=35,584 total samples, 11,986 with ASD). Using an enhanced Bayesian framework to integrate de novo and case-control rare variation, we identify 102 risk genes at a false discovery rate ≤ 0.1. Of these genes, 49 show higher frequencies of disruptive de novo variants in individuals ascertained for severe neurodevelopmental delay, while 53 show higher frequencies in individuals ascertained for ASD; comparing ASD cases with mutations in these groups reveals phenotypic differences. Expressed early in brain development, most of the risk genes have roles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelopmental and neurophysiological changes), and 13 fall within loci recurrently hit by copy number variants. In human cortex single-cell gene expression data, expression of risk genes is enriched in both excitatory and inhibitory neuronal lineages, consistent with multiple paths to an excitatory/inhibitory imbalance underlying ASD.
Published: 2019
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27. Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism

Author: Shan Dong, Norio Ozaki, Ryan K. C. Yuen, David J. Cutler, Lauren A. Weiss, Catalina Betancur, Abraham Reichenberg, Hassen-Kiss E, Judith Miller, Brooke Sheppard, Yunin Ludena, Astanand Jugessur, Irva Hertz-Picciotto, Donna M. Werling, Aurora Currò, Isaac N. Pessah, Giovanni Battista Ferrero, Somer L. Bishop, Utku Norman, Nancy J. Minshew, Tarjinder Singh, Bernie Devlin, Michael E. Talkowski, Carla Lintas, Susan L. Santangelo, Miia Kaartinen, Gal Meiri, Camilla Stoltenberg, Stephen Sanders, Sherif Gerges, Michael L. Cuccaro, Ryan N. Doan, Suma Jacob, Matthew W. Mosconi, Lambertus Klei, Michael E. Zwick, Kathryn Roeder, Merete Nordentoft, Lauren M. Schmitt, John A. Sweeney, Elizabeth E. Guerrero, Kaija Puura, Alessandra Renieri, Elaine T. Lim, Maureen Mulhern, Danielle de Paula Moreira, Cicek Ae, Nell Maltman, Aparna Bhaduri, Mara Parellada, Sabine Schlitt, Diego Lopergolo, Gun Peggy Knudsen, Christina M. Hultman, Jesslyn Jamison, Rebecca J. Schmidt, So Lun Lee, Iuliana Ionita-Laza, Peter Szatmari, Gerry Schellenberg, Alfredo Brusco, Christine M. Freitag, Andreas G. Chiocchetti, Javier González-Peñas, Michael S. Breen, Jakob Grove, Ryan L. Collins, Mafalda Barbosa, Emilie M. Wigdor, Elise B. Robinson, Cathy A. Stevens, Gabriela Soares, Benjamin M. Neale, Edwin H. Cook, Jiebiao Wang, David M. Hougaard, Enrico Domenici, Gail E. Herman, Patrícia Maciel, Kaitlin E. Samocha, Preben Bo Mortensen, Stephen W. Scherer, Yu Mhc, Elaine Cristina Zachi, Menachem Fromer, Antonio M. Persico, Anders D. Børglum, Minshi Peng, Megan Smith, Elisabetta Trabetti, Rachel Nguyen, Fátima Lopes, James S. Sutcliffe, Trelles Mdp, Xinyi Xu, Emma Wilkinson, Joseph D. Buxbaum, Audrey Thurm, Chiara Fallerini, Jack A. Kosmicki, Michael Gill, Paige M. Siper, Timothy W. Yu, Grace Schwartz, Thomas Werge, Terho Lehtimäki, Itaru Kushima, Jay Gargus, Dalla Bernardina B, Hilary Coon, Maria Rita Passos-Bueno, Stephen J. Guter, Margaret A. Pericak-Vance, Matthew W. State, Per Magnus, Christopher A. Walsh, Evelise Riberi, Ezra Susser, Xin He, Aarno Palotie, Idan Menashe, Eric M. Morrow, Jonas Bybjerg-Grauholm, Pierandrea Muglia, Pål Surén, De Rubeis S, Angel Carracedo, Sven Sandin, Montse Fernández-Prieto, Lara Tang, Lipkin Wi, Ole Mors, Louise Gallagher, Montenegro M. de Souza E, Brian H.Y. Chung, Anney Rjl, Alexander Kolevzon, Dara S. Manoach, Daniel H. Geschwind, Silva Imw, Caroline Dias, Jeremy Willsey, Jennifer Reichert, Elisa Giorgio, Branko Aleksic, Flora Tassone, Satterstrom Fk, Senthil G, Karoline Teufel, Chan Mcy, Harrison Brand, Danielle Halpern, Behrang Mahjani, Mykyta Artomov, Mark J. Daly, Joon Yong An, and Lehner T
Subjects: Genetics, Regulation of gene expression, 0303 health sciences, medicine.medical_specialty, Neurogenetics, Biology, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Autism spectrum disorder, mental disorders, medicine, Autism, Medical genetics, Copy-number variation, Gene, 030217 neurology & neurosurgery, Exome sequencing, 030304 developmental biology
Abstract: SummaryWe present the largest exome sequencing study of autism spectrum disorder (ASD) to date (n=35,584 total samples, 11,986 with ASD). Using an enhanced Bayesian framework to integrate de novo and case-control rare variation, we identify 102 risk genes at a false discovery rate ≤ 0.1. Of these genes, 49 show higher frequencies of disruptive de novo variants in individuals ascertained for severe neurodevelopmental delay, while 53 show higher frequencies in individuals ascertained for ASD; comparing ASD cases with mutations in these groups reveals phenotypic differences. Expressed early in brain development, most of the risk genes have roles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelopmental and neurophysiological changes), and 13 fall within loci recurrently hit by copy number variants. In human cortex single-cell gene expression data, expression of risk genes is enriched in both excitatory and inhibitory neuronal lineages, consistent with multiple paths to an excitatory/inhibitory imbalance underlying ASD.
Published: 2018
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28. Calculating the Effects of Autism Risk Gene Variants on Dysfunction of Biological Processes Identifies Clinically-Useful Information

Author: Thomas Nickl-Jockschat, Beth A. Malow, Allan I. Pack, Zachary Warren, Robert T. Schultz, Susan G. Assouline, Birkan Tunç, Olivia J. Veatch, Diego R. Mazzotti, Edward S. Brodkin, James S. Sutcliffe, Ted Abel, and Jacob J. Michaelson
Subjects: 0303 health sciences, medicine.diagnostic_test, business.industry, Cognition, medicine.disease, Bioinformatics, Comorbidity, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Genetic variation, Intellectual disability, mental disorders, medicine, Etiology, Autism, business, Gene, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic testing
Abstract: Autism spectrum disorders (ASD) are neurodevelopmental conditions that are influenced by genetic factors and encompass a wide-range and severity of symptoms. The details of how genetic variation contributes to variable symptomatology are unclear, creating a major challenge for translating vast amounts of data into clinically-useful information. To determine if variation in ASD risk genes correlates with symptomatology differences among individuals with ASD, thus informing treatment, we developed an approach to calculate the likelihood of genetic dysfunction in Gene Ontology-defined biological processes that have significant overrepresentation of known risk genes. Using whole-exome sequence data from 2,381 individuals with ASD included in the Simons Simplex Collection, we identified likely damaging variants and conducted a clustering analysis to define subgroups based on scores reflecting genetic dysfunction in each process of interest to ASD etiology. Dysfunction in cognition-related genes distinguished a distinct subset of individuals with increased social deficits, lower IQs, and reduced adaptive behaviors when compared to individuals with no evidence of cognition-related gene dysfunction. In particular, a stop-gain variant in the pharmacogene encoding cycloxygenase-2 was associated with having an IQ
Published: 2018
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29. A Bayesian framework that integrates multi-omics data and gene networks predicts risk genes from schizophrenia GWAS data

Author: Zhexing Wen, James S. Sutcliffe, Chunyu Liu, Hai Yang, Ran Tao, Quan Wang, Edwin H. Cook, Ying Ji, Rui Chen, Xue Zhong, Nancy J. Cox, Bingshan Li, Feixiong Cheng, and Qiang Wei
Subjects: 0301 basic medicine, Linkage disequilibrium, Gene regulatory network, Genomics, Genome-wide association study, Computational biology, Disease, Biology, Article, 03 medical and health sciences, Mice, 0302 clinical medicine, Risk Factors, Animals, Humans, Gene Regulatory Networks, Genetic Predisposition to Disease, Gene, Genetic association, General Neuroscience, Bayes Theorem, 3. Good health, Disease Models, Animal, 030104 developmental biology, Schizophrenia, Neuroscience, Functional genomics, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Genome-wide association studies (GWAS) have identified more than 100 schizophrenia (SCZ)-associated loci, but using these findings to illuminate disease biology remains a challenge. Here we present integrative risk gene selector (iRIGS), a Bayesian framework that integrates multi-omics data and gene networks to infer risk genes in GWAS loci. By applying iRIGS to SCZ GWAS data, we predicted a set of high-confidence risk genes, most of which are not the nearest genes to the GWAS index variants. High-confidence risk genes account for a significantly enriched heritability, as estimated by stratified linkage disequilibrium score regression. Moreover, high-confidence risk genes are predominantly expressed in brain tissues, especially prenatally, and are enriched for targets of approved drugs, suggesting opportunities to reposition existing drugs for SCZ. Thus, iRIGS can leverage accumulating functional genomics and GWAS data to advance our understanding of SCZ etiology and potential therapeutics. Wang et al. present a computational framework integrating multi-omics data to infer key schizophrenia risk genes from GWAS data. These genes are predominantly expressed in the developing brain and are enriched for targets of approved drugs.
Published: 2018

30. A rare, autism‐associated in‐frame deletion in the dopamine transporter exhibits profound functional deficits

Author: Heinrich J.G. Matthies, Aparna Shekar, Hassane S. Mchaourab, Jenny I. Aguilar, Kevin Erreger, Nicholas G. Campbell, Dungeng Peng, Aurelio Galli, and James S. Sutcliffe
Subjects: Frame (networking), Genetics, medicine, biology.protein, Autism, Biology, medicine.disease, Molecular Biology, Biochemistry, Neuroscience, Biotechnology, Dopamine transporter
Published: 2018
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31. Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci

Author: Eric Fombonne, Stephen Sanders, Rita M. Cantor, Bernie Devlin, Shan Dong, Kathryn Roeder, Catherine Lord, Mack Y. Su, David H. Ledbetter, Arthur P. Goldberg, Vanessa H. Bal, Nicole A. Teran, Eric M. Morrow, Cai Jinlu, James S. Sutcliffe, Michael F. Walker, Jeffrey D. Mandell, Edwin H. Cook, Elise B. Robinson, Mark J. Daly, Kaitlin E. Samocha, Xin He, Christa Lese Martin, Timothy W. Yu, Donna M. Werling, Donna M. Martin, Arthur L. Beaudet, Michael E. Talkowski, Michael T. Murtha, Joseph D. Buxbaum, John F. Keaney, Dorothy E. Grice, A. Ercument Cicek, A. Jeremy Willsey, Somer L. Bishop, Christopher S. Poultney, Lambertus Klei, Matthew W. State, Daniel Moreno-De-Luca, Louw Smith, A. Gulhan Ercan-Sencicek, Shrikant Mane, Tor Solli-Nowlan, Christopher A. Walsh, Daniel H. Geschwind, and Jennifer K. Lowe
Subjects: Male, Gene duplication, Genotype, Autism Spectrum Disorder, Autism, Neuroscience(all), Single-nucleotide polymorphism, Major clinical study, Gene sequence, Biology, Gene mutation, Gene locus, Article, mental disorders, medicine, Humans, Copy-number variation, Protein Interaction Maps, Child, Exome sequencing, Priority journal, Risk assessment, Genetic association, Genetic risk, Genetics, Gene deletion, Copy number variation, General Neuroscience, Gene targeting, Genetic Variation, Genome project, medicine.disease, Synapse, Chromatin, Single nucleotide polymorphism, Gene structure, Intellectual impairment, Gene identification, Autism spectrum disorder, Genetic Loci, Female, Risk factor, Controlled study, Human
Abstract: Analysis of de novo CNVs (dnCNVs) from the full Simons Simplex Collection (SSC) (N = 2,591 families) replicates prior findings of strong association with autism spectrum disorders (ASDs) and confirms six risk loci (1q21.1, 3q29, 7q11.23, 16p11.2, 15q11.2-13, and 22q11.2). The addition of published CNV data from the Autism Genome Project (AGP) and exome sequencing data from the SSC and the Autism Sequencing Consortium (ASC) shows that genes within small de novo deletions, but not within large dnCNVs, significantly overlap the high-effect risk genes identified by sequencing. Alternatively, large dnCNVs are found likely to contain multiple modest-effect risk genes. Overall, we find strong evidence that de novo mutations are associated with ASD apart from the risk for intellectual disability. Extending the transmission and de novo association test (TADA) to include small de novo deletions reveals 71 ASD risk loci, including 6 CNV regions (noted above) and 65 risk genes (FDR ≤ 0.1). Through analysis of de novo mutations in autism spectrum disorder (ASD), Sanders et al. find that small deletions, but not large deletions/duplications, contain one critical gene. Combining CNV and sequencing data, they identify 6 loci and 65 genes associated with ASD.
Published: 2015
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32. Integrin β3 Haploinsufficiency Modulates Serotonin Transport and Antidepressant-Sensitive Behavior in Mice

Author: Seth Varney, Tammy Jessen, Edwin H. Cook, James S. Sutcliffe, Ana Carneiro, Jeremy Veenstra-VanderWeele, and Matthew D. Mazalouskas
Subjects: Serotonin, medicine.medical_specialty, Integrin, Population, Synaptic Membranes, Serotonin transport, Mice, Transgenic, Mice, Internal medicine, medicine, Animals, Humans, education, Serotonin transporter, Neurons, Serotonin Plasma Membrane Transport Proteins, Pharmacology, Analysis of Variance, education.field_of_study, Polymorphism, Genetic, biology, Integrin beta3, Infant, Biological Transport, Antidepressive Agents, Cell biology, Psychiatry and Mental health, Endocrinology, Gene Expression Regulation, Phosphopyruvate Hydratase, biology.protein, Raphe Nuclei, Original Article, Raphe nuclei, Haploinsufficiency, Selective Serotonin Reuptake Inhibitors
Abstract: Converging lines of evidence have identified genetic interactions between the serotonin transporter (SERT) gene and ITGB3, which encodes the β3 subunit that forms the αIIbβ3 and αvβ3 integrin receptor complexes. Here we examine the consequences of haploinsufficiency in the mouse integrin β3 subunit gene (Itgb3) on SERT function and selective 5-hydroxytryptamine (5-HT) reuptake inhibitor (SSRI) effectiveness in vivo. Biochemical fractionation studies and immunofluorescent staining of murine brain slices reveal that αvβ3 receptors and SERTs are enriched in presynaptic membranes from several brain regions and that αvβ3 colocalizes with a subpopulation of SERT-containing synapses in raphe nuclei. Notably, we establish that loss of a single allele of Itgb3 in murine neurons is sufficient to decrease 5-HT uptake by SERT in midbrain synaptosomes. Pharmacological assays to elucidate the αvβ3-mediated mechanism of reduced SERT function indicate that decreased integrin β3 subunit expression scales down the population size of active SERT molecules and, as a consequence, lowers the effective dose of SSRIs. These data are consistent with the existence of a subpopulation of SERTs that are tightly modulated by integrin αvβ3 and significantly contribute to global SERT function at 5-HT synapses in the midbrain. Importantly, our screen of a normal human population for single nucleotide polymorphisms in human ITGB3 identified a variant associated with reductions in integrin β3 expression levels that parallel our mouse findings. Thus, polymorphisms in human ITGB3 may contribute to the differential responsiveness of select patients to SSRIs.
Published: 2015
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33. Analysis ofCHRNA7rare variants in autism spectrum disorder susceptibility

Author: Silvia Lomartire, Raffaella Tancredi, James S. Sutcliffe, Agatino Battaglia, Elena Bacchelli, Susanne Thomson, Cinzia Cameli, Elena Maestrini, Bacchelli, Elena, Battaglia, Agatino, Cameli, Cinzia, Lomartire, Silvia, Tancredi, Raffaella, Thomson, Susanne, Sutcliffe, James S., and Maestrini, Elena
Subjects: Male, Adolescent, alpha7 Nicotinic Acetylcholine Receptor, Autism Spectrum Disorder, DNA Mutational Analysis, Genetic Association Studie, Copy number variant, Polymorphism, Single Nucleotide, DNA Mutational Analysi, Exon, symbols.namesake, Neurodevelopmental disorder, Genetics, medicine, Humans, Coding region, Genetic Predisposition to Disease, Copy-number variation, Gene, Genetic Association Studies, Genetics (clinical), Sanger sequencing, biology, CHRNA7, 15q13.3, medicine.disease, Sequence variant, Autism spectrum disorder, Case-Control Studies, biology.protein, symbols, Autism, Female, Case-Control Studie, Human
Abstract: Chromosome 15q13.3 recurrent microdeletions are causally associated with a wide range of phenotypes, including autism spectrum disorder (ASD), seizures, intellectual disability, and other psychiatric conditions. Whether the reciprocal microduplication is pathogenic is less certain. CHRNA7, encoding for the alpha7 subunit of the neuronal nicotinic acetylcholine receptor, is considered the likely culprit gene in mediating neurological phenotypes in 15q13.3 deletion cases. To assess if CHRNA7 rare variants confer risk to ASD, we performed copy number variant analysis and Sanger sequencing of the CHRNA7 coding sequence in a sample of 135 ASD cases. Sequence variation in this gene remains largely unexplored, given the existence of a fusion gene, CHRFAM7A, which includes a nearly identical partial duplication of CHRNA7. Hence, attempts to sequence coding exons must distinguish between CHRNA7 and CHRFAM7A, making next-generation sequencing approaches unreliable for this purpose. A CHRNA7 microduplication was detected in a patient with autism and moderate cognitive impairment; while no rare damaging variants were identified in the coding region, we detected rare variants in the promoter region, previously described to functionally reduce transcription. This study represents the first sequence variant analysis of CHRNA7 in a sample of idiopathic autism.
Published: 2015
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34. Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia

Author: Geraldine Dawson, Sven Sandin, Frederico Duque, Peter Holmans, Marion Leboyer, Aarno Palotie, Fritz Poustka, Richard Delorme, Stephen Sanders, Alistair T. Pagnamenta, Lonnie Zwaigenbaum, Bridget A. Fernandez, A. Jeremy Willsey, Christine M. Freitag, Christa Lese Martin, Elena Maestrini, Elena Bacchelli, Guiomar Oliveira, Jeremy R. Parr, Guy A. Rouleau, Jonas Bybjerg-Grauholm, Joseph Piven, Latha Soorya, Lauren A. Weiss, Jonathan Green, Carsten Bøcker Pedersen, Louise Gallagher, Regina Regan, Stephan Ripke, Thomas Werge, Pat Levitt, Aravinda Chakravarti, Joana Almeida, Kathryn Roeder, Catalina Betancur, Bernie Devlin, Benjamin M. Neale, Gillian Baird, Jakob Grove, Thomas Bourgeron, David H. Ledbetter, Eftichia Duketis, Karola Rehnström, Gerard D. Schellenberg, Jillian P. Casey, Preben Bo Mortensen, Patrick Bolton, Igor Martsenkovsky, Elise Robinson, Hakon Hakonarson, Vanessa H. Bal, Stacy Steinberg, Christopher Gillberg, Kathryn Tsang, Jacob A. S. Vorstman, Verneri Anttila, Suma Jacob, Judith Conroy, J. Haines, William M. McMahon, Edwin H. Cook, Ann P. Thompson, Inês C. Conceição, Mark J. Daly, Arthur P. Goldberg, Sarah E. Medland, Milica Pejovic-Milovancevic, David M. Hougaard, Shrikant Mane, Christina M. Hultman, Susana Mouga, Hreinn Stefansson, Ellen M. Wijsman, Andreas G. Chiocchetti, Ole Mors, Phil Lee, Richard Anney, Astrid M. Vicente, Veronica J. Vieland, K. Stefansson, Stephen W. Scherer, Teimuraz Silagadze, Pall Magnusson, Donna M. Martin, Merete Nordentoft, Peter Szatmari, Patrícia B. S. Celestino-Soper, Ann S Le-Couteur, Cátia Café, Arthur L. Beaudet, Kerstin Wittemeyer, Anders D. Børglum, Joel S. Bader, Christopher S. Poultney, Hailiang Huang, Alexander Kolevzon, Margaret A. Pericak-Vance, Joachim Hallmayer, Rita M. Cantor, Eric Fombonne, Andrew Green, Dan E. Arking, M. Daniele Fallin, Matthew W. State, Christine Ladd-Acosta, Silvia Derubeis, Raphael Bernier, Regina Waltes, David G. Amaral, Manuel Mattheisen, Abraham Reichenberg, Lambertus Klei, Daniel Moreno-De-Luca, Marie Bækvad-Hansen, Maretha V. Dejonge, Susan G. McGrew, Joseph D. Buxbaum, Hilary Coon, Jennifer Reichert, Michael Gill, Herman Vanengeland, Christine Søholm Hansen, Anthony P. Monaco, Nadia Bolshakova, John I. Nurnberger, Nancy J. Minshew, Michael T. Murtha, Thomas H. Wassink, Evald Saemundsen, Simon Wallace, Sean Brennan, Sean Ennis, A. Gulhan Ercan-Sencicek, Sven Bölte, Oscar Svantesson, Susan L. Santangelo, Andrew D. Paterson, Robert L. Hendren, Timothy W. Yu, Dalila Pinto, D.E. Grice, Alison Merikangas, Stephen J. Guter, Anthony J. Bailey, Bernadette Rogé, Christopher A. Walsh, Susan E. Folstein, Wendy Roberts, Sabine M. Klauck, Marianne Giørtz Pedersen, Tiago R. Magalhaes, John R. Gilbert, Irva Hertz-Picciotto, James S. Sutcliffe, Evdokia Anagnostou, Catarina Correia, Eric M. Morrow, Daniel H. Geschwind, Jennifer K. Lowe, Agatino Battaglia, Bozenna Iliadou, Michael L. Cuccaro, Catherine Lord, MRC Centre for Neuropsychiatric Genetics and Genomics [Cardiff, UK], Cardiff University, The Autism Working Group of the Psychiatric Genomics Consortium was supported by National Institutes of Mental Health (NIMH, USA) grant MH109539, MH094432 and MH094421 to M.J.D. The ACE Network was supported by MH081754 and MH100027 to D.H.G. The Autism Genetic Resource Exchange (AGRE) is a program of Autism Speaks (USA) and was supported by grant MH081810. The Autism Genome Project (AGP) was supported by grants from Autism Speaks, the Canadian Institutes of Health Research (CIHR), Genome Canada, the Health Research Board (Ireland, AUT/ 2006/1, AUT/2006/2, PD/2006/48), the Hilibrand Foundation (USA), the Medical Research Council (UK), the National Institutes of Health (USA, the National Institute of Child Health and Human Development and the National Institute of Mental Health), the Ontario Genomics Institute, and the University of Toronto McLaughlin Centre. The Simons Simplex Collection (SSC) was supported by a grant from the Simons Foundation (SFARI 124827 to the investigators of the Simons Simplex Collection Genetic Consortium), approved researchers can obtain the SSC population dataset described in this study (http://sfari.org/resources/sfari-base) by applying at https://base.sfari.org. The Gene Discovery Project of Johns Hopkins was funded by MH060007, MH081754, and the Simons Foundation. The MonBos Collection study was funded in part through a grant from the Autism Consortium of Boston. Support for the Extreme Discordant Sib-Pair (EDSP) family sample (part of the MonBos collection) was provided by the NLM Family foundation. Support for the Massachusetts General Hospital (MGH)–Finnish collaborative sample was provided by NARSAD. The PAGES collection was funded by NIMH grant MH097849. The collection of data and biomaterials that participated in the NIMH Autism Genetics Initiative has been supported by National Institute of Health grants MH52708, MH39437, MH00219, and MH00980, National Health Medical Research Council grant 0034328, and by grants from the Scottish Rite, the Spunk Fund, Inc., the Rebecca and Solomon Baker Fund, the APEX Foundation, the National Alliance for Research in Schizophrenia and Affective Disorders (NARSAD), the endowment fund of the Nancy Pritzker Laboratory (Stanford), and by gifts from the Autism Society of America, the Janet M. Grace Pervasive Developmental Disorders Fund, and families and friends of individuals with autism. The iPSYCH project is funded by The Lundbeck Foundation and the universities and university hospitals of Aarhus and Copenhagen. In addition, the genotyping of iPSYCH samples was supported by grants from the Stanley Foundation, the Simons Foundation (SFARI 311789 to MJD), and NIMH (5U01MH094432-02 to MJD). The Study to Explore Early Development (SEED) was funded by the Centers for Disease Control and Prevention (CDC) grants U10DD000180, U10DD000181, U10DD000182, U10DD000183, U10DD000184, and U10DD000498. Statistical analyses were carried out on the Genetic Cluster Computer (http://www.geneticcluster.org) hosted by SURFsara and financially supported by the Netherlands Scientific Organization (NWO 480-05-003), along with a supplement from the Dutch Brain Foundation and the VU University Amsterdam. Additional statistical analyses were performed and supported by the Trinity Centre for High Performance Computing (http://www.tchpc.tcd.ie/) funded through Science Foundation Ireland. Computational support for the PAGES collection was provided in part through the computational resources and staff expertise of the Department of Scientific Computing at the Icahn School of Medicine at Mount Sinai (https://hpc.mssm.edu). Data QC and statistical analyses of the iPSYCH samples were performed at the high-performance computing cluster GenomeDK (http://genome.au.dk) at the Center for Integrative Sequencing, iSEQ, Aarhus University. iSEQ provided computed time, data storage, and technical support for the study., Richard JL Anney, Email: anneyr@cardiff.ac.uk, Affiliation/s: MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK, Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. Stephan Ripke, Email: ripke@atgu.mgh.harvard.edu, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Stanley Center for Psychiatric Research and Program in Medical and Population Genetic, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, CCM, Berlin 10117, Germany. Verneri Anttila, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Stanley Center for Psychiatric Research and Program in Medical and Population Genetic, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Jakob Grove, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, DK-8000, Denmark, Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, DK-8000, Denmark, Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark. Peter Holmans, Affiliation/s: MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK. Hailiang Huang, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Stanley Center for Psychiatric Research and Program in Medical and Population Genetic, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Lambertus Klei, Affiliation/s: Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA. Phil H Lee, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA. Sarah E Medland, Affiliation/s: Queensland Institute of Medical Research Brisbane, QLD, 4006, Australia. Benjamin Neale, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Stanley Center for Psychiatric Research and Program in Medical and Population Genetic, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Elise Robinson, Affiliation/s: Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA, Stanley Center for Psychiatric Research and Program in Medical and Population Genetic, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA. Lauren A Weiss, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA, Inst Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA. Lonnie Zwaigenbaum, Affiliation/s: Department of Pediatrics, University of Alberta, Edmonton, AB, T6G 1C9, Canada. Timothy W Yu, Affiliation/s: Division of Genetics, Children ’ s Hospital Boston, Harvard Medical School, Boston, MA 02115, USA. Kerstin Wittemeyer, Affiliation/s: School of Education, University of Birmingham, Birmingham, B15 2TT, UK. A.Jeremy Willsey, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA. Ellen M Wijsman, Affiliation/s: Department of Medicine, University of Washington, Seattle, WA 98195, USA, Department of Biostatistics, University of Washington, Seattle, WA 98195, USA. Thomas Werge, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Institute of Biological Psychiatry, MHC Sct Hans, Mental Health Services Copenhagen, Roskilde, Denmark, Department of Clinical Medicine, University of Copenhagen, Copenhagen, DK-2200, Denmark. Thomas H Wassink, Affiliation/s: Department of Psychiatry, Carver College of Medicine, Iowa City, IA 52242, USA. Regina Waltes, Affiliation/s: Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Frankfurt, Frankfurt am Main, 60528, Germany. Christopher A Walsh, Affiliation/s: Division of Genetics, Children ’ s Hospital Boston, Harvard Medical School, Boston, MA 02115, USA, Program in Genetics and Genomics, Harvard Medical School, Boston, MA 02115, USA, Howard Hughes Medical Institute, Harvard Medical School, Boston, MA 02115, USA, Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA, Department of Neurology, Harvard Medical School, Boston, MA 02115, USA, Simon Wallace, Affiliation/s: Department of Psychiatry, University of Oxford and Warneford Hospital, Oxford, OX3 7JX, UK. Jacob AS Vorstman, Affiliation/s: Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, 3584 CG, The Netherlands. Veronica J Vieland, Affiliation/s: Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children ’ s Hospital, Columbus, OH 43205, USA. Astrid M Vicente, Affiliation/s: Instituto Nacional de Saúde Dr Ricardo Jorge, Lisboa, 1600, Portugal, Center for Biodiversity, Functional and Integrative Genomics, Campus da FCUL, Lisboa, 1649, Portugal. Herman vanEngeland, Affiliation/s: Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, 3584 CG, The Netherlands. Kathryn Tsang, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA, Inst Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA. Ann P Thompson, Affiliation/s: Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, ON, L8S 4L8, Canada. Peter Szatmari, Affiliation/s: Department of Psychiatry, University of Toronto, ON, M5T 1R8, Canada. Oscar Svantesson, Affiliation/s: Karolinska Institutet, Solna, SE-171 77, Sweden. Stacy Steinberg, Affiliation/s: deCODE Genetics, Reykjavik, IS-101, Iceland. Kari Stefansson, Affiliation/s: deCODE Genetics, Reykjavik, IS-101, Iceland. Hreinn Stefansson, Affiliation/s: deCODE Genetics, Reykjavik, IS-101, Iceland. Matthew W State, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA. Latha Soorya, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Rush University Medical Center, Chicago, IL 60612, USA. Teimuraz Silagadze, Affiliation/s: Department of Psychiatry and Drug Addiction, Tbilisi State Medical University, Tbilisi, 0186, Georgia. Stephen W Scherer, Affiliation/s: The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, M5G 1L4, Canada, McLaughlin Centre, University of Toronto, Toronto, ON, M5G 0A4, Canada, Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada. Gerard D Schellenberg, Affiliation/s: Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19102, USA. Sven Sandin, Affiliation/s: Karolinska Institutet, Solna, SE-171 77, Sweden. Stephan J Sanders, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA. Evald Saemundsen, Affiliation/s: State Diagnostic and Counseling Centre, Kopavogur, IS-201, Iceland. Guy A Rouleau, Affiliation/s: Montreal Neurological Institute, Dept of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada. Bernadette Rogé, Affiliation/s: Centre d ’ Etudes et de Recherches en Psychopathologie, Toulouse University, Toulouse, 31058, France. Kathryn Roeder, Affiliation/s: Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA 15213, USA, Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Wendy Roberts, Affiliation/s: Autism Research Unit, The Hospital for Sick Children, Toronto, ON, M5G 1L4, Canada. Jennifer Reichert, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Abraham Reichenberg, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Karola Rehnström, Affiliation/s: Sanger Institute, Hinxton, CB10 1SA, UK. Regina Regan, Affiliation/s: National Childrens Research Centre, Our Lady ’ s Hospital Crumlin, Dublin, D12, Ireland, Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland. Fritz Poustka, Affiliation/s: Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Frankfurt, Frankfurt am Main, 60528, Germany. Christopher S Poultney, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Joseph Piven, Affiliation/s: University of North Carolina, Chapel Hill, NC 27599, USA. Dalila Pinto, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA Margaret A Pericak-Vance, Affiliation/s: The John P Hussman Institute for Human Genomics, University of Miami, Miami, FL 33101, USA. Milica Pejovic-Milovancevic, Affiliation/s: Institute of Mental Health and Medical Faculty, University of Belgrade, Belgrade, 11 000, Serbia. Marianne Giørtz Pedersen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, National Centre for Register-based Research, Aarhus University, Aarhus, Denmark, Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark. Carsten Bøcker Pedersen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark. Andrew D Paterson, Affiliation/s: Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada, The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, M5G 1L4, Canada, Dalla Lana School of Public Health, Toronto, ON, M5T 3M7, Canada. Jeremy R Parr, Affiliation/s: Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK, Institue of Health and Science, Newcastle University, Newcastle Upon Tyne, NE2 4AX, UK. Alistair T Pagnamenta, Affiliation/s: Wellcome Trust Centre for Human Genetics, OxfordUniversity,Oxford,OX37BN,UK. Guiomar Oliveira, Affiliation/s: Unidade de Neurodesenvolvimento e Autismo do Serviço do Centro de Desenvolvimento da Criança and Centro de Investigação e Formação Clinica, Pediatric Hospital, Centro Hospitalar e Universitário de Coimbra, Coimbra, 3041-80, Portugal, University Clinic of Pediatrics and Institute for Biomedical Imaging and Life Science, Faculty of Medicine, University of Coimbra, Coimbra, 3041-80, Portugal. John I Nurnberger, Affiliation/s: Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA, Program in Medical Neuroscience, Indiana University School of Medicine, Indianapolis, IN 46202, USA. Merete Nordentoft, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Mental Health Services in the Capital Region of Denmark, Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark. Michael T Murtha, Affiliation/s: Programs on Neurogenetics, Yale University School of Medicine, New Haven, CT 06520, USA. Susana Mouga, Affiliation/s: Unidade de Neurodesenvolvimento e Autismo do Serviço do Centro de Desenvolvimento da Criança and Centro de Investigação e Formação Clinica, Pediatric Hospital, Centro Hospitalar e Universitário de Coimbra, Coimbra, 3041-80, Portugal, University Clinic of Pediatrics and Institute for Biomedical Imaging and Life Science, Faculty of Medicine, University of Coimbra, Coimbra, 3041-80, Portugal. Preben Bo Mortensen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Na- tional Centre for Register-based Research, Aarhus University, Aarhus, Denmark, Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark, Ole Mors, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark. Eric M Morrow, Affiliation/s: Department of Psychiatry and Human Behaviour, Brown University, Providence, RI 02912, USA. Daniel Moreno-De-Luca, Affiliation/s: Department of Psychiatry and Hu- man Behaviour, Brown University, Providence, RI 02912, USA. Anthony P Monaco, Affiliation/s: Wellcome Trust Centre for Human Genetics, Oxford University, Oxford, OX3 7BN, UK, Tufts University, Boston, MA 02155?, USA. Nancy Minshew, Affiliation/s: Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA. Alison Merikangas, Affiliation/s: Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. William M McMahon, Affiliation/s: Department of Psychiatry, University of Utah, Salt Lake City, UT 84108, USA. Susan G McGrew, Affiliation/s: Department of Pediatrics, Vanderbilt University, Nashville, TN 37232, USA. Manuel Mattheisen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, DK-8000, Denmark. Igor Martsenkovsky, Affiliation/s: Department of Child, Adolescent Psychiatry and Medical-Social Rehabilitation, Ukrainian Research Institute of Social Fo- rensic Psychiatry and Drug Abuse, Kyiv, 04080, Ukraine. Donna M Martin, Affiliation/s: Department of Pediatrics and Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA. Shrikant M Mane, Affiliation/s: Yale Center for Genomic Analysis, Yale University School of Medicine, New Haven, CT 06516, USA. Pall Magnusson, Affiliation/s: Department of Child and Adolescent Psychiatry, National University Hospital, Reykjavik, IS-101, Iceland. Tiago Magalhaes, Affiliation/s: National Childrens Research Centre, Our Lady ’ s Hospital Crumlin, Dublin, D12, Ireland, Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland. Elena Maestrini, Affiliation/s: Department of Pharmacy and Biotechnology, University of Bologna, Bologna, 40126, Italy. Jennifer K Lowe, Affiliation/s: Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA, Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA, Center for Neurobehavioral Genetics, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA. Catherine Lord, Affiliation/s: Department of Psychiatry, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA. Pat Levitt, Affiliation/s: Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90027, USA. Christa LeseMartin, Affiliation/s: Autism and Developmental Medicine Institute, Geisinger Health System, Danville, PA 17837, USA. David H Ledbetter, Affiliation/s: Chief Scientific Officer, Geisinger Health System, Danville, PA 17837, USA. Marion Leboyer, Affiliation/s: FondaMental Foundation, Créteil, 94000, France, INSERM U955, Paris, 94010, France, Faculté de Médecine, Université Paris Est, Créteil, 94000, France, Department of Psychiatry, Henri Mondor-Albert Chene- vier Hospital, Assistance Publique – Hôpitaux de Paris, Créteil, 94000, France, Ann S LeCouteur, Affiliation/s: Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK, Institue of Health and Science, Newcastle University, Newcastle Upon Tyne, NE2 4AX, UK. Christine Ladd-Acosta, Affiliation/s: Department of Epidemiology, Johns Hop- kins Bloomberg School of Public Health, Baltimore, MD 21205, USA. Alexander Kolevzon, Affiliation/s: Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Sabine M Klauck, Affiliation/s: Division of Molecular Genome Analysis and Working Group Cancer Genome Research, Deutsches Krebsforschungszentrum, Heidelberg, D-69120, Germany. Suma Jacob, Affiliation/s: Institute for Juvenile Research, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA, Institute of Translational Neuroscience and Department of Psychiatry, University of Minnesota, Minneapolis, MN 55454, USA. Bozenna Iliadou, Affiliation/s: Karolinska Institutet, Solna, SE-171 77, Sweden. Christina M Hultman, Affiliation/s: Karolinska Institutet, Solna, SE-171 77, Sweden. David M Hougaard, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, DK-2300, Denmark. Irva Hertz-Picciotto, Affiliation/s: Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA 95616, USA, The MIND Institute, School of Medicine, University of California Davis, Davis, CA 95817, USA. Robert Hendren, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA. Christine Søholm Hansen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, DK-2300, Denmark. Jonathan L Haines, Affiliation/s: Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA. Stephen J Guter, Affiliation/s: Institute for Juvenile Research, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA. Dorothy E Grice, Affiliation/s: Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Jonathan M Green, Affiliation/s: Manchester Academic Health Sciences Centre, Manchester, M13 9NT, UK, Institute of Brain, Behaviour, and Mental Health, University of Manchester, Manchester, M13 9PT, UK. Andrew Green, Affiliation/s: Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland, Centre for Medical Genetics, Our Lady ’ s Hospital Crumlin, Dublin, D12, Ireland. Arthur P Goldberg, Affiliation/s: Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Christopher Gillberg, Affiliation/s: Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, S-405 30, Sweden. John Gilbert, Affiliation/s: The John P Hussman Institute for Human Genomics, University of Miami, Miami, FL 33101, USA. Louise Gallagher, Affiliation/s: Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. Christine M Freitag, Affiliation/s: Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Frankfurt, Frankfurt am Main, 60528, Germany. Eric Fombonne, Affiliation/s: Department of Psychiatry and Institute for Development and Disability, Oregon Health and Science University, Portland, OR 97239, USA. Susan E Folstein, Affiliation/s: Division of Child and Adolescent Psychiatry, Department of Psychiatry, Miller School of Medicine, University of Miami, Miami, FL 33136, USA. Bridget Fernandez, Affiliation/s: Memorial University of Newfoundland, St John ’ s, NL, A1B 3X9, Canada. M.Daniele Fallin, Affiliation/s: Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. A.Gulhan Ercan-Sencicek, Affiliation/s: Programs on Neurogenetics, Yale Uni- versity School of Medicine, New Haven, CT 06520, USA. Sean Ennis, Affiliation/s: Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland, Centre for Medical Genetics, Our Lady ’ s Hospital Crumlin, Dublin, D12, Ireland. Frederico Duque, Affiliation/s: Unidade de Neurodesenvolvimento e Autismo do Serviço do Centro de Desenvolvimento da Criança and Centro de Investigação e Formação Clinica, Pediatric Hospital, Centro Hospitalar e Universitário de Coimbra, Coimbra, 3041-80, Portugal, University Clinic of Pediatrics and Institute for Biomedical Imaging and Life Science, Faculty of Medicine, University of Coimbra, Coimbra, 3041-80, Portugal. Eftichia Duketis, Affiliation/s: Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Frankfurt, Frankfurt am Main, 60528, Germany. Richard Delorme, Affiliation/s: FondaMental Foundation, Créteil, 94000, France, Human Genetics and Cognitive Functions Unit, Institut Pasteur, Paris, 75015, France, Centre National de la Recherche Scientifique URA 2182 Institut Pasteur, Paris, 75724, France, Department of Child and Adolescent Psychiatry, Robert Debré Hospital, Assistance Publique – Hôpitaux de Paris, Paris, 75019, France, Silvia DeRubeis, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Maretha V DeJonge, Affiliation/s: Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, 3584 CG, The Netherlands. Geraldine Dawson, Affiliation/s: Duke Center for Autism and Brain Developments, Duke University School of Medicine, Durham, NC 27705, USA, Duke Institute for Brain Sciences, Duke University School of Medicine, Durham, NC 27708, USA. Michael L Cuccaro, Affiliation/s: The John P Hussman Institute for Human Genomics, University of Miami, Miami, FL 33101, USA. Catarina T Correia, Affiliation/s: Instituto Nacional de Saúde Dr Ricardo Jorge, Lisboa, 1600, Portugal, Center for Biodiversity, Functional and Integrative Genomics, Campus da FCUL, Lisboa, 1649, Portugal. Judith Conroy, Affiliation/s: Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland, Temple Street Children ’ s University Hospital, Dublin, D1, Ireland. Ines C Conceição, Affiliation/s: Instituto Nacional de Saúde Dr Ricardo Jorge, Lisboa, 1600, Portugal, Center for Biodiversity, Functional and Integrative Genomics, Campus da FCUL, Lisboa, 1649, Portugal. Andreas G Chiocchetti, Affiliation/s: Depar tment of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goe the University Frankfurt, Frankfurt am Main, 60528, Germany. Patrícia BS Celestino-Soper, Affiliation/s: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indian- apolis, IN 46202, USA. Jillian Casey, Affiliation/s: Temple Street Children ’ s University Hospital, Dublin, D1, Ireland, Academic Centre on Rare Diseases, University College Dublin, Dublin, D4, Ireland. Rita M Cantor, Affiliation/s: Department of Psychiatry, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA, Department of Human Genetics, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA. Cátia Café, Affiliation/s: Unidade de Neurodesenvolvimento e Autismo do Serviço do Centro de Desenvolvimento da Criança and Centro de Investigação e Formação Clinica, Pediatric Hospital, Centro Hospitalar e Universitário de Coimbra, Coimbra, 3041-80, Portugal. Jonas Bybjerg-Grauholm, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, DK-2300, Denmark. Sean Brennan, Affiliation/s: Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. Thomas Bourgeron, Affiliation/s: FondaMental Foundation, Créteil, 94000, France, University Paris Diderot, Sorbonne Paris Cité, Paris, 75013, France, Patrick F Bolton, Affiliation/s: Institute of Psychiatry, Kings College London, London, SE5 8AF, UK, South London and Maudsley Biomedical Research Centre for Mental Health, London, SE5 8AF, UK. Sven Bölte, Affiliation/s: Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, JW Goethe University Frankfurt, Frankfurt am Main, 60528, Germany, Department of Women ’ s and Children ’ s Health, Center of Neurodevelopmental Disorders, Karolinska Institutet, Stockholm, SE- 113 30, Sweden, Child and Adolescent Psychiatry, Center for Psychiatry Re- search, Stockholm County Council, Stockholm, SE-171 77, Sweden. Nadia Bolshakova, Affiliation/s: Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. Catalina Betancur, Affiliation/s: INSERM U1130, Paris, 75005, France, CNRS UMR 8246, Paris, 75005, France, Sorbonne Universités, UPMC Univ Paris 6, Neuroscience Paris Seine, Paris, 75005, France. Raphael Bernier, Affiliation/s: Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA. Arthur L Beaudet, Affiliation/s: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA. Agatino Battaglia, Affiliation/s: Stella Maris Institute for Child and Adolescent Neuropsychiatr, Pisa, 56018, Italy. Vanessa H Bal, Affiliation/s: Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, USA. Gillian Baird, Affiliation/s: Paediatric Neurodisability, King ’ s Health Partners, Kings College London, London, SE1 7EH, UK. Anthony J Bailey, Affiliation/s: Department of Psychiatry, University of Oxford and Warneford Hospital, Oxford, OX3 7JX, UK, Mental Health and Addictions Research Unit, University of British Colombia, Vancouver, BC, V5Z 4H4, Canada. Marie Bækvad-Hansen, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, DK-2300, Denmark. Joel S Bader, Affiliation/s: McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21218, USA. Elena Bacchelli, Affiliation/s: Department of Pharmacy and Biotechnology, University of Bologna, Bologna, 40126, Italy. Evdokia Anagnostou, Affiliation/s: Bloorview Research Institute, University of Toronto, Toronto, ON, M4G 1R8, Canada. David Amaral, Affiliation/s: The MIND Institute, School of Medicine, University of California Davis, Davis, CA 95817, USA, Department of Psychiatry, School of Medicine, University of California Davis, Davis, CA 95817, USA, Department of Behavioural Sciences, School of Medicine, University of California Davis, Davis, CA 95817, USA. Joana Almeida, Affiliation/s: Unidade de Neurodesenvolvimento e Autismo do Serviço do Centro de Desenvolvimento da Criança and Centro de Investigação e Formação Clinica, Pediatric Hospital, Centro Hospitalar e Universitário de Coimbra, Coimbra, 3041-80, Portugal. Anders D Børglum, Affiliation/s: iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark, Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, DK-8000, Denmark. Joseph D Buxbaum, Affiliation/s: Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA Aravinda Chakravarti, Affiliation/s: McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21218, USA. Edwin H Cook, Affiliation/s: Institute for Juvenile Research, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA. Hilary Coon, Affiliation/s: Department of Psychiatry, University of Utah, Salt Lake City, UT 84108, USA. Daniel H Geschwind, Affiliation/s: Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA, Center for Neurobehavioral Genetics, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA, Department of Human Genetics, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA, Michael Gill, Affiliation/s: Department of Psychiatry, Trinity College Dublin, Dublin, D8, Ireland. Hakon Hakonarson, Affiliation/s: The Center for Applied Genomics and Division of Human Genetics, Children ’ s Hospital of Philadelphia, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA, Dept of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA. Joachim Hallmayer, Affiliation/s: Department of Psychiatry, Stanford University, Stanford, CA 94305, USA. Aarno Palotie, Affiliation/s: Sanger Institute, Hinxton, CB10 1SA, UK., Anney, Richard J. L., Ripke, Stephan, Anttila, Verneri, Grove, Jakob, Holmans, Peter, Huang, Hailiang, Klei, Lambertu, Lee, Phil H., Medland, Sarah E., Neale, Benjamin, Robinson, Elise, Weiss, Lauren A., Zwaigenbaum, Lonnie, Yu, Timothy W., Wittemeyer, Kerstin, Willsey, A. Jeremy, Wijsman, Ellen M., Werge, Thoma, Wassink, Thomas H., Waltes, Regina, Walsh, Christopher A., Wallace, Simon, Vorstman, Jacob A. S., Vieland, Veronica J., Vicente, Astrid M., Vanengeland, Herman, Tsang, Kathryn, Thompson, Ann P., Szatmari, Peter, Svantesson, Oscar, Steinberg, Stacy, Stefansson, Kari, Stefansson, Hreinn, State, Matthew W., Soorya, Latha, Silagadze, Teimuraz, Scherer, Stephen W., Schellenberg, Gerard D., Sandin, Sven, Sanders, Stephan J., Saemundsen, Evald, Rouleau, Guy A., Rogã©, Bernadette, Roeder, Kathryn, Roberts, Wendy, Reichert, Jennifer, Reichenberg, Abraham, Rehnstrã¶m, Karola, Regan, Regina, Poustka, Fritz, Poultney, Christopher S., Piven, Joseph, Pinto, Dalila, Pericak-Vance, Margaret A., Pejovic-Milovancevic, Milica, Pedersen, Marianne GiÃ¸rtz, Pedersen, Carsten BÃ¸cker, Paterson, Andrew D., Parr, Jeremy R., Pagnamenta, Alistair T., Oliveira, Guiomar, Nurnberger, John I., Nordentoft, Merete, Murtha, Michael T., Mouga, Susana, Mortensen, Preben Bo, Mors, Ole, Morrow, Eric M., Moreno-De-Luca, Daniel, Monaco, Anthony P., Minshew, Nancy, Merikangas, Alison, Mcmahon, William M., Mcgrew, Susan G., Mattheisen, Manuel, Martsenkovsky, Igor, Martin, Donna M., Mane, Shrikant M., Magnusson, Pall, Magalhaes, Tiago, Maestrini, Elena, Lowe, Jennifer K., Lord, Catherine, Levitt, Pat, Martin, Christa Lese, Ledbetter, David H., Leboyer, Marion, Lecouteur, Ann S., Ladd-Acosta, Christine, Kolevzon, Alexander, Klauck, Sabine M., Jacob, Suma, Iliadou, Bozenna, Hultman, Christina M., Hougaard, David M., Hertz-Picciotto, Irva, Hendren, Robert, Hansen, Christine SÃ¸holm, Haines, Jonathan L., Guter, Stephen J., Grice, Dorothy E., Green, Jonathan M., Green, Andrew, Goldberg, Arthur P., Gillberg, Christopher, Gilbert, John, Gallagher, Louise, Freitag, Christine M., Fombonne, Eric, Folstein, Susan E., Fernandez, Bridget, Fallin, M. Daniele, Ercan-Sencicek, A. Gulhan, Ennis, Sean, Duque, Frederico, Duketis, Eftichia, Delorme, Richard, Derubeis, Silvia, Dejonge, Maretha V., Dawson, Geraldine, Cuccaro, Michael L., Correia, Catarina T., Conroy, Judith, Conceiã§ã£o, Ines C., Chiocchetti, Andreas G., Celestino-Soper, PatrÃcia B. S., Casey, Jillian, Cantor, Rita M., Cafã©, Cã¡tia, Bybjerg-Grauholm, Jona, Brennan, Sean, Bourgeron, Thoma, Bolton, Patrick F., Bã¶lte, Sven, Bolshakova, Nadia, Betancur, Catalina, Bernier, Raphael, Beaudet, Arthur L., Battaglia, Agatino, Bal, Vanessa H., Baird, Gillian, Bailey, Anthony J., BÃ¦kvad-Hansen, Marie, Bader, Joel S., Bacchelli, Elena, Anagnostou, Evdokia, Amaral, David, Almeida, Joana, Bã¸rglum, Anders D., Buxbaum, Joseph D., Chakravarti, Aravinda, Cook, Edwin H., Coon, Hilary, Geschwind, Daniel H., Gill, Michael, Hallmayer, Joachim, Palotie, Aarno, Santangelo, Susan, Sutcliffe, James S., Arking, Dan E., Devlin, Bernie, Daly, Mark J., Hakonarson, Hakon, Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Fondation FondaMental [Créteil], Génétique de l'autisme = Genetics of Autism (NPS-01), Neuroscience Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), and Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0301 basic medicine, Male, INTELLECTUAL DISABILITY, Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium, Autism, Neurodevelopment, Gene Expression, Genome-wide association study, [SDV.GEN] Life Sciences [q-bio]/Genetics, lcsh:RC346-429, 0302 clinical medicine, 2.1 Biological and endogenous factors, Pair 10, Copy-number variation, Aetiology, Autism spectrum disorder, Genetics, Adaptor Proteins, Forkhead Transcription Factors, Serious Mental Illness, 3. Good health, Mental Health, Psychiatry and Mental Health, Meta-analysis, Female, Biotechnology, Human, Autismo, Genetic correlation, Intellectual and Developmental Disabilities (IDD), Clinical Sciences, Gene-set analysi, Genomics, Locus (genetics), FOXP1, Biology, Chromosomes, Heritability, 03 medical and health sciences, Plasma Membrane Calcium-Transporting ATPases, Developmental Neuroscience, REVEALS, mental disorders, LINKAGE, medicine, Journal Article, Humans, Genetic Predisposition to Disease, Meta-analysi, GENOME-WIDE ASSOCIATION, COMMON, Genotyping, Molecular Biology, lcsh:Neurology. Diseases of the nervous system, COPY NUMBER VARIATION, Genetic association, Adaptor Proteins, Signal Transducing, Homeodomain Proteins, [SDV.GEN]Life Sciences [q-bio]/Genetics, Chromosomes, Human, Pair 10, Research, Human Genome, Signal Transducing, Neurosciences, Membrane Proteins, medicine.disease, RISK LOCI, R1, Brain Disorders, Repressor Proteins, 030104 developmental biology, Genetic Loci, Case-Control Studies, Perturbações do Desenvolvimento Infantil e Saúde Mental, Schizophrenia, Carrier Proteins, Gene-set analysis, MENTAL-RETARDATION, SCAN, 030217 neurology & neurosurgery, Transcription Factors, Developmental Biology
Abstract: Autism Spectrum Disorders Working Group of The Psychiatric Genomics Consortium - Collaborators (162): Anney RJL, Ripke S, Anttila V, Grove J, Holmans P, Huang H, Klei L, Lee PH, Medland SE, Neale B, Robinson E, Weiss LA, Zwaigenbaum L, Yu TW, Wittemeyer K, Willsey AJ, Wijsman EM, Werge T, Wassink TH, Waltes R, Walsh CA, Wallace S, Vorstman JAS, Vieland VJ, Vicente AM, vanEngeland H, Tsang K, Thompson AP, Szatmari P, Svantesson O, Steinberg S, Stefansson K, Stefansson H, State MW, Soorya L, Silagadze T, Scherer SW, Schellenberg GD, Sandin S, Sanders SJ, Saemundsen E, Rouleau GA, Rogé B, Roeder K, Roberts W, Reichert J, Reichenberg A, Rehnström K, Regan R, Poustka F, Poultney CS, Piven J, Pinto D, Pericak-Vance MA, Pejovic-Milovancevic M, Pedersen MG, Pedersen CB, Paterson AD, Parr JR, Pagnamenta AT, Oliveira G, Nurnberger JI, Nordentoft M, Murtha MT, Mouga S, Mortensen PB, Mors O, Morrow EM, Moreno-De-Luca D, Monaco AP, Minshew N, Merikangas A, McMahon WM, McGrew SG, Mattheisen M, Martsenkovsky I, Martin DM, Mane SM, Magnusson P, Magalhaes T, Maestrini E, Lowe JK, Lord C, Levitt P, Martin CL, Ledbetter DH, Leboyer M, LeCouteur AS, Ladd-Acosta C, Kolevzon A, Klauck SM, Jacob S, Iliadou B, Hultman CM, Hougaard DM, Hertz-Picciotto I, Hendren R, Hansen CS, Haines JL, Guter SJ, Grice DE, Green JM, Green A, Goldberg AP, Gillberg C, Gilbert J, Gallagher L, Freitag CM, Fombonne E, Folstein SE, Fernandez B, Fallin MD, Ercan-Sencicek AG, Ennis S, Duque F, Duketis E, Delorme R, DeRubeis S, DeJonge MV, Dawson G, Cuccaro ML, Correia CT, Conroy J, Conceição IC, Chiocchetti AG, Celestino-Soper PBS, Casey J, Cantor RM, Café C, Bybjerg-Grauholm J, Brennan S, Bourgeron T, Bolton PF, Bölte S, Bolshakova N, Betancur C, Bernier R, Beaudet AL, Battaglia A, Bal VH, Baird G, Bailey AJ, Bækvad-Hansen M, Bader JS, Bacchelli E, Anagnostou E, Amaral D, Almeida J, Børglum AD, Buxbaum JD, Chakravarti A, Cook EH, Coon H, Geschwind DH, Gill M, Hallmayer J, Palotie A, Santangelo S, Sutcliffe JS, Arking DE, Devlin B, Daly MJ. Astrid M. Vicente .- Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis do INSA. PMS free full text: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441062/ Background: Over the past decade genome-wide association studies (GWAS) have been applied to aid in the understanding of the biology of traits. The success of this approach is governed by the underlying effect sizes carried by the true risk variants and the corresponding statistical power to observe such effects given the study design and sample size under investigation. Previous ASD GWAS have identified genome-wide significant (GWS) risk loci; however, these studies were of only of low statistical power to identify GWS loci at the lower effect sizes (odds ratio (OR)
Published: 2017
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35. Leveraging blood serotonin as an endophenotype to identify de novo and rare variants involved in autism

Author: James S. Sutcliffe, Suma Jacob, Lea K. Davis, Melissa H. Potter, Rui Chen, Nancy J. Cox, Bingshan Li, Edwin H. Cook, Qiang Wei, and Stephen J. Guter
Subjects: Male, 0301 basic medicine, Proband, Serotonin, Jumonji Domain-Containing Histone Demethylases, De novo mutation, Autism Spectrum Disorder, Endophenotypes, Autism, 5-HT, Compound heterozygosity, 03 medical and health sciences, Hyperserotonemia, 0302 clinical medicine, Developmental Neuroscience, Locus heterogeneity, mental disorders, medicine, Humans, Exome, Genetic Predisposition to Disease, Molecular Biology, Gene, Loss function, Exome sequencing, Genetics, Research, Whole exome sequencing, Nuclear Proteins, Rare variants, Forkhead Transcription Factors, Sequence Analysis, DNA, medicine.disease, Human genetics, 3. Good health, Compound heterozygotes, Group-wise transmission/disequilibrium test, Repressor Proteins, Endophenotype, Psychiatry and Mental health, 030104 developmental biology, Mutation, Female, Ubiquitin-Specific Proteases, Psychology, 030217 neurology & neurosurgery, Signal Transduction, Developmental Biology
Abstract: Background Autism spectrum disorder (ASD) is one of the most highly heritable neuropsychiatric disorders, but underlying molecular mechanisms are still unresolved due to extreme locus heterogeneity. Leveraging meaningful endophenotypes or biomarkers may be an effective strategy to reduce heterogeneity to identify novel ASD genes. Numerous lines of evidence suggest a link between hyperserotonemia, i.e., elevated serotonin (5-hydroxytryptamine or 5-HT) in whole blood, and ASD. However, the genetic determinants of blood 5-HT level and their relationship to ASD are largely unknown. Methods In this study, pursuing the hypothesis that de novo variants (DNVs) and rare risk alleles acting in a recessive mode may play an important role in predisposition of hyperserotonemia in people with ASD, we carried out whole exome sequencing (WES) in 116 ASD parent-proband trios with most (107) probands having 5-HT measurements. Results Combined with published ASD DNVs, we identified USP15 as having recurrent de novo loss of function mutations and discovered evidence supporting two other known genes with recurrent DNVs (FOXP1 and KDM5B). Genes harboring functional DNVs significantly overlap with functional/disease gene sets known to be involved in ASD etiology, including FMRP targets and synaptic formation and transcriptional regulation genes. We grouped the probands into High-5HT and Normal-5HT groups based on normalized serotonin levels, and used network-based gene set enrichment analysis (NGSEA) to identify novel hyperserotonemia-related ASD genes based on LoF and missense DNVs. We found enrichment in the High-5HT group for a gene network module (DAWN-1) previously implicated in ASD, and this points to the TGF-β pathway and cell junction processes. Through analysis of rare recessively acting variants (RAVs), we also found that rare compound heterozygotes (CHs) in the High-5HT group were enriched for loci in an ASD-associated gene set. Finally, we carried out rare variant group-wise transmission disequilibrium tests (gTDT) and observed significant association of rare variants in genes encoding a subset of the serotonin pathway with ASD. Conclusions Our study identified USP15 as a novel gene implicated in ASD based on recurrent DNVs. It also demonstrates the potential value of 5-HT as an effective endophenotype for gene discovery in ASD, and the effectiveness of this strategy needs to be further explored in studies of larger sample sizes. Electronic supplementary material The online version of this article (doi:10.1186/s13229-017-0130-3) contains supplementary material, which is available to authorized users.
Published: 2017
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36. SU82AN ALGORITHM TO IDENTIFY PATIENTS WITH OBSESSIVE-COMPULSIVE DISORDERS IN BIOVU USING NATURAL LANGUAGE PROCESSING, ICD- CODE AND MEDICATION ADMINISTRATION RECORDS IN THE SYNTHETIC DERIVATIVE

Author: Takahiro Soda, Celestial Jones-Paris, Angela C. Maxwell-Horn, Patrick McGuire, James L. Crowley, Angelica Soto-Freita, Evonne McArthur, Lea K. Davis, and James S. Sutcliffe
Subjects: Pharmacology, Computer science, business.industry, Medication administration, computer.software_genre, Psychiatry and Mental health, chemistry.chemical_compound, Obsessive-compulsive disorders, Neurology, chemistry, Code (cryptography), Pharmacology (medical), Neurology (clinical), Artificial intelligence, business, computer, Biological Psychiatry, Natural language processing, Derivative (chemistry)
Published: 2019
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37. Using extended pedigrees to identify novel autism spectrum disorder (ASD) candidate genes

Author: Peter Szatmari, Barbara Kellam, Jennifer L. Howe, Kristiina Tammimies, James S. Sutcliffe, Eric Duku, Christina Chrysler, Mohammed Uddin, Veronica J. Vieland, Stephen W. Scherer, Anath C. Lionel, Andrew D. Paterson, Marc Woodbury-Smith, Kathy Whitten, Bridget A. Fernandez, Bhooma Thiruvahindrapduram, Christian R. Marshall, Susan Walker, Ann Thompson, Ryan K. C. Yuen, Morgan Parlier, Joseph Piven, Irene O’Conner, and Daniele Merico
Subjects: Male, Candidate gene, Genetic Linkage, Datasets as Topic, Penetrance, NDUFV1, Pedigree chart, Biology, Gene Duplication, mental disorders, Gene duplication, Intellectual disability, Genetics, medicine, Humans, Genetic Predisposition to Disease, Copy-number variation, Genetics (clinical), Electron Transport Complex I, Chromosomes, Human, Pair 11, NADH Dehydrogenase, medicine.disease, Human genetics, Pedigree, Glutathione S-Transferase pi, Child Development Disorders, Pervasive, Autism spectrum disorder, Female, Databases, Nucleic Acid, Genome-Wide Association Study
Abstract: Copy number variation has emerged as an important cause of phenotypic variation, particularly in relation to some complex disorders. Autism spectrum disorder (ASD) is one such disorder, in which evidence is emerging for an etiological role for some rare penetrant de novo and rare inherited copy number variants (CNVs). De novo variation, however, does not always explain the familial nature of ASD, leaving a gap in our knowledge concerning the heritable genetic causes of this disorder. Extended pedigrees, in which several members have ASD, provide an opportunity to investigate inherited genetic risk factors. In this current study, we recruited 19 extended ASD pedigrees, and, using the Illumina HumanOmni2.5 BeadChip, conducted genome-wide CNV interrogation. We found no definitive evidence of an etiological role for segregating CNVs in these pedigrees, and no evidence that linkage signals in these pedigrees are explained by segregating CNVs. However, a small number of putative de novo variants were transmitted from BAP parents to their ASD offspring, and evidence emerged for a rare duplication CNV at 11p13.3 harboring two putative 'developmental/neuropsychiatric' susceptibility gene(s), GSTP1 and NDUFV1.
Published: 2014
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38. Synaptic, transcriptional, and chromatin genes disrupted in autism

Author: Christine Stevens, Michael E. Zwick, Deepthi Rajagopalan, Mara Parellada, David J. Cutler, Li-San Wang, Norio Ozaki, Jinlu Cai, Lauren A. Weiss, Patricia Jiménez González, Jeffrey C. Barrett, Silvia De Rubeis, Helena Kilpinen, Alexander Kolevzon, Timothy W. Yu, Michael John Owen, Geraldine Dawson, Martin Schulte-Rüther, Jeremy R. Parr, Aarno Palotie, Eftichia Duketis, Lambertus Klei, Irene Lee, Bridget A. Fernandez, Aniko Sabo, Matthew W. State, Sarah Curran, Lucy Crooks, Chad M. Schafer, Avi Ma'ayan, Stephen Sanders, Evan T. Geller, Monica Biscaldi, Stephen W. Scherer, Christopher S. Poultney, Mark J. Daly, Patrick Bolton, Kaija Puura, Maria H. Chahrour, Michael Gill, Li Liu, Louise Gallagher, Ryan K. C. Yuen, Jack A. Kosmicki, Abraham Reichenberg, Christine M. Freitag, Shaun Purcell, Andreas G. Chiocchetti, Peter Szatmari, Sabine M. Klauck, Shih-Chen Fu, Christian R. Marshall, Joseph D. Buxbaum, Tarjinder Singh, Bernie Devlin, Chiao-Feng Lin, A. Ercument Cicek, Karola Rehnström, Pamela Sklar, Otto Valladares, Michael Sachse, Terho Lehtimäki, R. Sean Hill, Arthur P. Goldberg, A. Jeremy Willsey, Jing Lei, Branko Aleksic, Menachem Fromer, Yan Kou, Jessica M. Brownfeld, Annette Voran, Kathryn Roeder, Gerard D. Schellenberg, David Skuse, Thomas Lehner, Hilary Coon, Benjamin M. Neale, Iuliana Ionita-Laza, Kristiina Tammimies, Stephen J. Guter, Christopher A. Walsh, James S. Sutcliffe, Xin-Xin He, Alison L. McInnes, Emily L. Crawford, Nicholas G. Campbell, Angel Carracedo, R. Susan Walker, Edwin H. Cook, Kaitlin E. Samocha, and Christina M. Hultman
Subjects: Male, Transcription, Genetic, Molecular Sequence Data, Mutation, Missense, SYNGAP1, Article, 03 medical and health sciences, 0302 clinical medicine, Transcriptional regulation, Odds Ratio, Humans, Exome, Genetic Predisposition to Disease, Amino Acid Sequence, Gene, Exome sequencing, Germ-Line Mutation, 030304 developmental biology, Regulation of gene expression, Genetics, 0303 health sciences, Multidisciplinary, biology, Chromatin Assembly and Disassembly, Chromatin, Histone, Child Development Disorders, Pervasive, Mutation, Synapses, biology.protein, Female, Nerve Net, 030217 neurology & neurosurgery
Abstract: The genetic architecture of autism spectrum disorder involves the interplay of common and rare variants and their impact on hundreds of genes. Using exome sequencing, here we show that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate (FDR) < 0.05, plus a set of 107 autosomal genes strongly enriched for those likely to affect risk (FDR < 0.30). These 107 genes, which show unusual evolutionary constraint against mutations, incur de novo loss-of-function mutations in over 5% of autistic subjects. Many of the genes implicated encode proteins for synaptic formation, transcriptional regulation and chromatin-remodelling pathways. These include voltage-gated ion channels regulating the propagation of action potentials, pacemaking and excitability-transcription coupling, as well as histone-modifying enzymes and chromatin remodellers-most prominently those that mediate post-translational lysine methylation/demethylation modifications of histones.
Published: 2014

39. A framework for the interpretation of de novo mutation in human disease

Author: Eric Boerwinkle, Elise B. Robinson, Shaun Purcell, Stephen Sanders, Joseph D. Buxbaum, Edwin H. Cook, Kaitlin E. Samocha, Dennis P. Wall, Stacey Gabriel, Bernie Devlin, Jack A. Kosmicki, Richard A. Gibbs, Christine Stevens, Mark A. DePristo, Daniel G. MacArthur, Mark J. Daly, Aniko Sabo, James S. Sutcliffe, Benjamin M. Neale, Andrew Kirby, Lauren M. McGrath, Aarno Palotie, Karola Rehnström, Swapan Mallick, Kathryn Roeder, and Gerard D. Schellenberg
Subjects: Male, Genetics, medicine.medical_specialty, Genetics, Medical, Genomics, Disease, Biology, Genetic code, Article, Human disease, Child Development Disorders, Pervasive, Genetic Code, mental disorders, Mutation, Mutation (genetic algorithm), medicine, Humans, Medical genetics, Exome, Female, Genetic Predisposition to Disease, Gene
Abstract: Spontaneously arising (de novo) mutations have an important role in medical genetics. For diseases with extensive locus heterogeneity, such as autism spectrum disorders (ASDs), the signal from de novo mutations is distributed across many genes, making it difficult to distinguish disease-relevant mutations from background variation. Here we provide a statistical framework for the analysis of excesses in de novo mutation per gene and gene set by calibrating a model of de novo mutation. We applied this framework to de novo mutations collected from 1,078 ASD family trios, and, whereas we affirmed a significant role for loss-of-function mutations, we found no excess of de novo loss-of-function mutations in cases with IQ above 100, suggesting that the role of de novo mutations in ASDs might reside in fundamental neurodevelopmental processes. We also used our model to identify ∼1,000 genes that are significantly lacking in functional coding variation in non-ASD samples and are enriched for de novo loss-of-function mutations identified in ASD cases.
Published: 2014
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40. Modest Impact on Risk for Autism Spectrum Disorder of Rare Copy Number Variants at 15q11.2, Specifically Breakpoints 1 to 2

Author: David H. Ledbetter, Timothy W. Yu, Matthew W. State, Christopher A. Walsh, James S. Sutcliffe, Michael T. Murtha, Dorothy E. Grice, Edwin H. Cook, Lambertus Klei, Daniel Moreno-De-Luca, Pauline Chaste, Bernie Devlin, Shrikant Mane, Donna M. Martin, Arthur L. Beaudet, A. Jeremy Willsey, Soo Jeong Kim, Daniel H. Geschwind, Jennifer K. Lowe, Kommu N. Mohan, Stephen Sanders, Catherine Lord, Eric M. Morrow, Youeun Song, Eric Fombonne, Vanessa Hus, and Christa Lese Martin
Subjects: Proband, Genetics, congenital, hereditary, and neonatal diseases and abnormalities, medicine.medical_specialty, endocrine system diseases, General Neuroscience, Transmission disequilibrium test, Biology, medicine.disease, behavioral disciplines and activities, Penetrance, Chromosome 15, Autism spectrum disorder, mental disorders, medicine, Autism, Medical genetics, Neurology (clinical), Copy-number variation, Genetics (clinical)
Abstract: The proximal region of chromosome 15 is one of the genomic hotspots for copy number variants (CNVs). Among the rearrangements observed in this region, CNVs from the interval between the common breakpoints 1 and 2 (BP1 and BP2) have been reported cosegregating with autism spectrum disorder (ASD). Although evidence supporting an association between BP1-BP2 CNVs and autism accumulates, the magnitude of the effect of BP1-BP2 CNVs remains elusive, posing a great challenge to recurrence-risk counseling. To gain further insight into their pathogenicity for ASD, we estimated the penetrance of the BP1-BP2 CNVs for ASD as well as their effects on ASD-related phenotypes in a well-characterized ASD sample (n = 2525 families). Transmission disequilibrium test revealed significant preferential transmission only for the duplicated chromosome in probands (20T:9NT). The penetrance of the BP1-BP2 CNVs for ASD was low, conferring additional risks of 0.3% (deletion) and 0.8% (duplication). Stepwise regression analyses suggest a greater effect of the CNVs on ASD-related phenotype in males and when maternally inherited. Taken together, the results are consistent with BP1-BP2 CNVs as risk factors for autism. However, their effect is modest, more akin to that seen for common variants. To be consistent with the current American College of Medical Genetics guidelines for interpretation of postnatal CNV, the BP1-BP2 deletion and duplication CNVs would probably best be classified as variants of uncertain significance (VOUS): they appear to have an impact on risk, but one so modest that these CNVs do not merit pathogenic status.
Published: 2014
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41. Convergence of Genes and Cellular Pathways Dysregulated in Autism Spectrum Disorders

Author: Joana Almeida, Christian R. Marshall, Hakon Hakonarson, Bárbara Oliveira, Anthony J. Griswold, Jacob A. S. Vorstman, Bhooma Thiruvahindrapuram, Suma Jacob, Judith Conroy, Alistair T. Pagnamenta, Christelle Cabrol, Jeremy R. Parr, Daniel H. Geschwind, Nancy J. Minshew, Xiao Xu, Richard Anney, Sven Bölte, Zhuozhi Wang, Emily L. Crawford, Elsa Delaby, Margaret A. Pericak-Vance, Joachim Hallmayer, Jonathan L. Haines, Dalila Pinto, Susana Mouga, Alexander Kolevzon, Elena Bacchelli, Frederico Duque, Bernie Devlin, Latha Soorya, Cátia Café, Kirsty Wing, Jennifer K. Lowe, Ana Tryfon, Stephen J. Guter, Geraldine Dawson, Tiago R. Magalhaes, Anthony J. Bailey, Michael Gill, Peter Szatmari, Steven Gallinger, Marion Pilorge, James S. Sutcliffe, Bridget A. Fernandez, Herman van Engeland, Catalina Betancur, Guiomar Oliveira, Andrew Green, Eftichia Duketis, Bernadette Rogé, Ann Le Couteur, Evdokia Anagnostou, Michelle Cotterchio, Daniele Merico, Giovanna Pellecchia, Jonathan Green, Regina Regan, Jillian P. Casey, Guiqing Cai, Gerard D. Schellenberg, Jennifer L. Howe, Elena Maestrini, Andrew D. Paterson, L. Alison McInnes, Patrick Bolton, Edwin H. Cook, Richard Delorme, Lambertus Klei, Thomas Bourgeron, Gillian Baird, Christine M. Freitag, Beth A. Dombroski, Andreas G. Chiocchetti, Sabine M. Klauck, Susan E. Folstein, Mafalda Barbosa, Anthony P. Monaco, Marion Leboyer, Nadia Bolshakova, Fritz Poustka, Richard Holt, Kerstin Wittemeyer, Wendy Roberts, Lonnie Zwaigenbaum, Louise Gallagher, Susan G. McGrew, Joseph D. Buxbaum, Graham Casey, Simon Wallace, Catherine Lord, Sean Brennan, Robert Ziman, Alison K. Merikangas, John I. Nurnberger, Christopher Gillberg, Ellen M. Wijsman, Astrid M. Vicente, Inȇs C. Conceição, Sean Ennis, Patricia Jiménez González, Hilary Coon, Raphael Bernier, John R. Gilbert, Ann P. Thompson, Susanne Thomson, Agatino Battaglia, Maretha de Jonge, Michael L. Cuccaro, Catarina Correia, Veronica J. Vieland, Stephen W. Scherer, Pauline Chaste, Departments of Psychiatry, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai [New York] (MSSM)-Seaver Autism Center-, The Mindich Child Health & Development Institute, Department of Psychiatry, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Seaver Autism Center for Research and Treatment, Friedman Brain Institute, The Mindich Child Health and Development Institute, The Icahn Institute for Genomics and Multiscale Biology, Neurosciences Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, Trinity College Dublin-St. James's Hospital, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, Academic Centre on Rare Diseases (ACoRD), University College Dublin [Dublin] (UCD), The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), McLaughlin Centre, University of Toronto, BioFIG, Center for Biodiversity, Functional and Integrative Genomics, Department of Neurology, University of California [Los Angeles] (UCLA), University of California-University of California-David Geffen School of Medicine [Los Angeles], University of California-University of California, Fisico-Quimica Biologica, Universidade Federal do Rio de Janeiro (UFRJ), John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, Pathology and Laboratory Medicine, University of Pennsylvania [Philadelphia], Department of Pathology, Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital [Toronto, Canada] (MSH), Prevention & Cancer Control, Cancer Care Ontario, Department of Preventive Medicine, University of Southern California (USC), Department of Pediatrics, University of Alberta, School of Education, University of Birmingham [Birmingham], University of Oxford [Oxford]-Warneford Hospital, Octogone Unité de Recherche Interdisciplinaire (Octogone), Université Toulouse - Jean Jaurès (UT2J), Autism Research Unit, The Hospital for sick children [Toronto] (SickKids)-University of Toronto, Unidade de Neurodesenvolvimento e Autismo (UNDA), Hospital Pediatrico de Coimbra, Institute for Biomedical Imaging and Life Science, University of Coimbra [Portugal] (UC), Vanderbilt University [Nashville], Center for Autism and the Developing Brain (CADB), Weill Medical College of Cornell University [New York], Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-IFR10, Service de psychiatrie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Institute of Health and Society, Newcastle University [Newcastle], Department of Child and Adolescent Psychiatry, Newcastle University [Newcastle]-Institute of Health & Society (Child & Adolescent Psychiatry), Child Developmental and Behavioral Unit, Hospital Nacional de Niños Dr Sáenz Herrera, Institute for Juvenile Research-University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Manchester Academic Health Sciences Centre, Gillberg Neuropsychiatry Centre [Göteborg, Sueden], Institute of Neuroscience and Physiology [Göteborg]-University of Gothenburg (GU), Institute of Child Health, University College of London [London] (UCL), Memorial University of Newfoundland [St. John's], Disciplines of Genetics and Medicine, Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Institute of Psychiatry, King‘s College London, Institute of psychiatry, University of Washington [Seattle], Paediatric Neurodisability, King‘s College London-King's Health Partners, MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), King‘s College London-The Institute of Psychiatry, University of British Columbia (UBC), Bloorview Research Institute, Division of Medical Genetics [Seattle], Departments of Biostatistics and Medicine, Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, Institute of Neuroscience [Newcastle] (ION), Institutes of Neuroscience and Health and Society, Indiana University School of Medicine, Indiana University System-Indiana University System, The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia]-Children’s Hospital of Philadelphia (CHOP ), Utah Autism Research Program, University of Utah Psychiatry Department, University of Miami School of Medicine, Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris [Pisa], Department of Psychiatry and Behavioral Sciences [Stanford], Stanford Medicine, Stanford University-Stanford University, Stanford School of Medicine [Stanford], Institute for Juvenile Research, University of Illinois [Chicago] (UIC), Department of Neuroscience, Main funders of the Autism Genome Project: Autism Speaks (USA), the Health Research Board (Ireland, AUT/2006/1, AUT/2006/2, PD/2006/48), the Medical Research Council (UK), the Hilibrand Foundation (USA), Genome Canada, the Ontario Genomics Institute, and the Canadian Institutes of Health Research (CIHR), Autism Genome Project Consortium, Neuroscience Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of Oxford, University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles], University of California (UC)-University of California (UC), University of Pennsylvania, University of Oxford-Warneford Hospital, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Memorial University of Newfoundland = Université Memorial de Terre-Neuve [St. John's, Canada] (MUN), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania-University of Pennsylvania-Children’s Hospital of Philadelphia (CHOP ), Betancur, Catalina, Instituto Nacional de Saude Dr Ricardo Jorge, Universidade Federal do Rio de Janeiro [Rio de Janeiro] (UFRJ), Laboratoire Analyse et Modélisation pour la Biologie et l'Environnement (LAMBE - UMR 8587), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Università di Bologna [Bologna] (UNIBO), Mount Sinai Hospital (MSH), University of Toronto-The Hospital for Sick Children, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Gillberg Neuropsychiatry Centre, University of Gothenburg (GU), Stanford University Medical School, Stanford University School of Medicine [Stanford], Stanford University [Stanford], Université de Toulouse (UT)-Université de Toulouse (UT), Pinto D, Delaby E, Merico D, Barbosa M, Merikangas A, Klei L, Thiruvahindrapuram B, Xu X, Ziman R, Wang Z, Vorstman JA, Thompson A, Regan R, Pilorge M, Pellecchia G, Pagnamenta AT, Oliveira B, Marshall CR, Magalhaes TR, Lowe JK, Howe JL, Griswold AJ, Gilbert J, Duketis E, Dombroski BA, De Jonge MV, Cuccaro M, Crawford EL, Correia CT, Conroy J, Conceição IC, Chiocchetti AG, Casey JP, Cai G, Cabrol C, Bolshakova N, Bacchelli E, Anney R, Gallinger S, Cotterchio M, Casey G, Zwaigenbaum L, Wittemeyer K, Wing K, Wallace S, van Engeland H, Tryfon A, Thomson S, Soorya L, Rogé B, Roberts W, Poustka F, Mouga S, Minshew N, McInnes LA, McGrew SG, Lord C, Leboyer M, Le Couteur AS, Kolevzon A, Jiménez González P, Jacob S, Holt R, Guter S, Green J, Green A, Gillberg C, Fernandez BA, Duque F, Delorme R, Dawson G, Chaste P, Café C, Brennan S, Bourgeron T, Bolton PF, Bölte S, Bernier R, Baird G, Bailey AJ, Anagnostou E, Almeida J, Wijsman EM, Vieland VJ, Vicente AM, Schellenberg GD, Pericak-Vance M, Paterson AD, Parr JR, Oliveira G, Nurnberger JI, Monaco AP, Maestrini E, Klauck SM, Hakonarson H, Haines JL, Geschwind DH, Freitag CM, Folstein SE, Ennis S, Coon H, Battaglia A, Szatmari P, Sutcliffe JS, Hallmayer J, Gill M, Cook EH, Buxbaum JD, Devlin B, Gallagher L, Betancur C, and Scherer SW.
Subjects: Male, INTELLECTUAL DISABILITY, pathways, Genome-wide association study, [SDV.GEN] Life Sciences [q-bio]/Genetics, Bioinformatics, DUPLICATIONS, Intellectual disability, Gene Regulatory Networks, Genetics(clinical), Copy-number variation, 10. No inequality, Child, GDI1, Genetics (clinical), Sequence Deletion, COPY NUMBER VARIANTS, Genetics, gene networks, Copy Number Variation, 3. Good health, Pedigree, Fragile X syndrome, Multigene Family, Female, Metabolic Networks and Pathways, de novo, DNA Copy Number Variations, autism, Biology, rare CNV, PHENOTYPE ONTOLOGY, Article, Structural variation, mental disorders, medicine, Humans, ddc:610, FRAGILE-X-SYNDROME, GENOME-WIDE ASSOCIATION, Gene, [SDV.GEN]Life Sciences [q-bio]/Genetics, HDAC4, SETD5, medicine.disease, CHD2, inherited, STRUCTURAL VARIATION, DELETIONS, DE-NOVO MUTATIONS, Child Development Disorders, Pervasive, Autism
Abstract: International audience; Rare copy-number variation (CNV) is an important source of risk for autism spectrum disorders (ASDs). We analyzed 2,446 ASD-affected families and confirmed an excess of genic deletions and duplications in affected versus control groups (1.41-fold, p = 1.0 × 10(-5)) and an increase in affected subjects carrying exonic pathogenic CNVs overlapping known loci associated with dominant or X-linked ASD and intellectual disability (odds ratio = 12.62, p = 2.7 × 10(-15), ∼3% of ASD subjects). Pathogenic CNVs, often showing variable expressivity, included rare de novo and inherited events at 36 loci, implicating ASD-associated genes (CHD2, HDAC4, and GDI1) previously linked to other neurodevelopmental disorders, as well as other genes such as SETD5, MIR137, and HDAC9. Consistent with hypothesized gender-specific modulators, females with ASD were more likely to have highly penetrant CNVs (p = 0.017) and were also overrepresented among subjects with fragile X syndrome protein targets (p = 0.02). Genes affected by de novo CNVs and/or loss-of-function single-nucleotide variants converged on networks related to neuronal signaling and development, synapse function, and chromatin regulation.
Published: 2014
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42. Rare Complete Knockouts in Humans: Population Distribution and Significant Role in Autism Spectrum Disorders

Author: Richard A. Gibbs, Shaun Purcell, Stephen Sanders, Bernie Devlin, Li Liu, Andrew Kirby, Chiao-Feng Lin, Elaine T. Lim, Shannon Gross, Eric Boerwinkle, Huyen Dinh, Jeffrey G. Reid, Jason Flannick, Monkol Lek, Alicia Hawes, Matthew W. State, Li-San Wang, Lora Lewis, Joseph D. Buxbaum, Kathryn Roeder, Edwin H. Cook, Uma Nagaswamy, Mark A. DePristo, Gerard D. Schellenberg, Mark J. Daly, David Altshuler, Irene Newsham, Christine Stevens, Stephan Ripke, Menachem Fromer, Yuanqing Wu, Benjamin M. Neale, Soumya Raychaudhuri, Stacey Gabriel, Donna M. Muzny, Aniko Sabo, Daniel G. MacArthur, James S. Sutcliffe, Otto Valladares, and Douglas M. Ruderfer
Subjects: Proband, Genetics, 0303 health sciences, education.field_of_study, Neuroscience(all), General Neuroscience, Population, Pseudoautosomal region, Biology, Compound heterozygosity, medicine.disease, Article, 03 medical and health sciences, 0302 clinical medicine, medicine, Autism, education, 030217 neurology & neurosurgery, Gene knockout, X chromosome, Exome sequencing, 030304 developmental biology
Abstract: SummaryTo characterize the role of rare complete human knockouts in autism spectrum disorders (ASDs), we identify genes with homozygous or compound heterozygous loss-of-function (LoF) variants (defined as nonsense and essential splice sites) from exome sequencing of 933 cases and 869 controls. We identify a 2-fold increase in complete knockouts of autosomal genes with low rates of LoF variation (≤5% frequency) in cases and estimate a 3% contribution to ASD risk by these events, confirming this observation in an independent set of 563 probands and 4,605 controls. Outside the pseudoautosomal regions on the X chromosome, we similarly observe a significant 1.5-fold increase in rare hemizygous knockouts in males, contributing to another 2% of ASDs in males. Taken together, these results provide compelling evidence that rare autosomal and X chromosome complete gene knockouts are important inherited risk factors for ASD.
Published: 2013
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43. Shorter sleep duration is associated with social impairment and comorbidities in ASD

Author: Olivia J, Veatch, James S, Sutcliffe, Zachary E, Warren, Brendan T, Keenan, Melissa H, Potter, and Beth A, Malow
Subjects: Male, Sleep Wake Disorders, Time Factors, Adolescent, Autism Spectrum Disorder, Comorbidity, Severity of Illness Index, Article, Child, Preschool, mental disorders, Humans, Female, Interpersonal Relations, Child, Sleep, Social Behavior
Abstract: Sleep disturbance, particularly insomnia, is common in children with autism spectrum disorders (ASD). Furthermore, disturbed sleep affects core symptoms and other related comorbidities. Understanding the causes and consequences of sleep disturbances in children with ASD is an important step toward mitigating these symptoms. To better understand the connection between sleep duration and ASD severity, we analyzed ASD-related symptoms using the Autism Diagnostic Interview-Revised (ADI-R), Autism Diagnostic Observation Schedule (ADOS), IQ scores, and parent reports of the average amount of time slept per night that were available in the medical histories of 2,714 children with ASD in the Simons Simplex Collection (SSC). The mean (SD) sleep duration was 555 minutes. Sleep duration and severity of core ASD symptoms were negatively correlated, and sleep duration and IQ scores were positively correlated. Regression results indicated that more severe social impairment, primarily a failure to develop peer relationships, is the core symptom most strongly associated with short sleep duration. Furthermore, increased severity for numerous maladaptive behaviors assessed on the Child Behavior Checklist, as well as reports of attention deficit disorder, depressive disorder, and obsessive compulsive disorder were associated with short sleep duration. Severity scores for social/communication impairment and restricted and repetitive behaviors (RRB) were increased, and IQ scores were decreased, for children reported to sleep ≤420 minutes per night (lower 5th percentile) compared to children sleeping ≥660 minutes (upper 95th percentile). Our results indicate that reduced amounts of sleep are related to more severe symptoms in children with ASD. Autism Res 2017. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Autism Res 2017, 10: 1221-1238. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.
Published: 2016

44. A Novel Human

Author: Jason R, Stephenson, Xiaohan, Wang, Tyler L, Perfitt, Walker P, Parrish, Brian C, Shonesy, Christian R, Marks, Douglas P, Mortlock, Terunaga, Nakagawa, James S, Sutcliffe, and Roger J, Colbran
Subjects: Male, Autism Spectrum Disorder, Sialoglycoproteins, Mice, Transgenic, Receptors, N-Methyl-D-Aspartate, Synaptic Transmission, Rats, Sprague-Dawley, Mice, Animals, Humans, Receptors, AMPA, Cycloheximide, Cells, Cultured, Research Articles, Brain, Excitatory Postsynaptic Potentials, Dendrites, Embryo, Mammalian, Rats, Mice, Inbred C57BL, Disease Models, Animal, Gene Expression Regulation, Mutation, Exploratory Behavior, Female, Calcium-Calmodulin-Dependent Protein Kinase Type 2
Abstract: Characterizing the functional impact of novel mutations linked to autism spectrum disorder (ASD) provides a deeper mechanistic understanding of the underlying pathophysiological mechanisms. Here we show that a de novo Glu183 to Val (E183V) mutation in the CaMKIIα catalytic domain, identified in a proband diagnosed with ASD, decreases both CaMKIIα substrate phosphorylation and regulatory autophosphorylation, and that the mutated kinase acts in a dominant-negative manner to reduce CaMKIIα-WT autophosphorylation. The E183V mutation also reduces CaMKIIα binding to established ASD-linked proteins, such as Shank3 and subunits of l-type calcium channels and NMDA receptors, and increases CaMKIIα turnover in intact cells. In cultured neurons, the E183V mutation reduces CaMKIIα targeting to dendritic spines. Moreover, neuronal expression of CaMKIIα-E183V increases dendritic arborization and decreases both dendritic spine density and excitatory synaptic transmission. Mice with a knock-in CaMKIIα-E183V mutation have lower total forebrain CaMKIIα levels, with reduced targeting to synaptic subcellular fractions. The CaMKIIα-E183V mice also display aberrant behavioral phenotypes, including hyperactivity, social interaction deficits, and increased repetitive behaviors. Together, these data suggest that CaMKIIα plays a previously unappreciated role in ASD-related synaptic and behavioral phenotypes.
Published: 2016

45. The impact of genotype calling errors on family-based studies

Author: Daniel E. Weeks, James S. Sutcliffe, Bingshan Li, Wei Chen, Qi Yan, Rui Chen, and Edwin H. Cook
Subjects: Male, 0301 basic medicine, Genotype, Biology, Population stratification, Article, Statistical power, 03 medical and health sciences, 0302 clinical medicine, Statistics, medicine, Humans, Exome, Genotyping, Genetics, Multidisciplinary, Models, Genetic, medicine.disease, 030104 developmental biology, Autism, Female, Databases, Nucleic Acid, Family based, 030217 neurology & neurosurgery, Type I and type II errors
Abstract: Family-based sequencing studies have unique advantages in enriching rare variants, controlling population stratification, and improving genotype calling. Standard genotype calling algorithms are less likely to call rare variants correctly, often mistakenly calling heterozygotes as reference homozygotes. The consequences of such non-random errors on association tests for rare variants are unclear, particularly in transmission-based tests. In this study, we investigated the impact of genotyping errors on rare variant association tests of family-based sequence data. We performed a comprehensive analysis to study how genotype calling errors affect type I error and statistical power of transmission-based association tests using a variety of realistic parameters in family-based sequencing studies. In simulation studies, we found that biased genotype calling errors yielded not only an inflation of type I error but also a power loss of association tests. We further confirmed our observation using exome sequence data from an autism project. We concluded that non-symmetric genotype calling errors need careful consideration in the analysis of family-based sequence data and we provided practical guidance on ameliorating the test bias.
Published: 2016
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46. Patterns and rates of exonic de novo mutations in autism spectrum disorders

Author: Omar Jabado, Menachem Fromer, Chad M. Schafer, Braden E. Boone, Jack R. Wimbish, Benjamin M. Neale, Guiqing Cai, Kathryn Roeder, Gerard D. Schellenberg, Li-San Wang, Christine Stevens, Avi Ma'ayan, Bernie Devlin, Richard A. Gibbs, Zuleyma Peralta, Shawn Levy, Yan Kou, Yi Han, Eric Boerwinkle, Evan T. Geller, Kiran V. Garimella, Emily L. Crawford, Jeffrey G. Reid, Chiao-Feng Lin, Elizabeth J. Rossin, Timothy Fennell, Tuo Zhao, Jared Maguire, Mark A. DePristo, Eric Banks, Mark J. Daly, Irene Newsham, Edwin H. Cook, Paz Polak, Ryan Poplin, Kaitlin E. Samocha, Vladimir Makarov, Khalid Shakir, Han Liu, Yuanqing Wu, Benjamin F. Voight, James S. Sutcliffe, Donna M. Muzny, Shamil R. Sunyaev, Li Liu, Andrew Kirby, Seungtai Yoon, Joseph D. Buxbaum, Uma Nagaswamy, Ruth Dannenfelser, Stacey Gabriel, Aniko Sabo, Jayon Lihm, Lora Lewis, Elaine T. Lim, Jason Flannick, Nicholas G. Campbell, Otto Valladares, Catalina Betancur, Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Harvard Medical School [Boston] (HMS), Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Massachusetts Institute of Technology (MIT), Department of pharmacology and systems therapeutics [Mount Sinai], Icahn School of Medicine at Mount Sinai [New York] (MSSM), Seaver Autism Center for Research and Treatment, Department of Statistics, Carnegie Mellon University, Carnegie Mellon University [Pittsburgh] (CMU), Human Genome Sequencing Center, Baylor College of Medicine, Baylor College of Medicine (BCM), Baylor University-Baylor University, Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, University of Pennsylvania, Department of Psychiatry, Division of Genetics, Brigham and Women's Hospital [Boston], Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Biostatistics Department and Computer Science Department, Johns Hopkins University, Johns Hopkins University (JHU), Departments of Psychiatry, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai [New York] (MSSM)-Seaver Autism Center-, The Mindich Child Health & Development Institute, Department of Pharmacology, University of Pennsylvania-Perelman School of Medicine, HudsonAlpha Institute for Biotechnology [Huntsville, AL], Physiopathologie des Maladies du Système Nerveux Central, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Human Genetics Center, The University of Texas Health Science Center at Houston (UTHealth), Friedman Brain Institute, Institute for Juvenile Research-University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Betancur, Catalina, University of Pennsylvania [Philadelphia], and University of Pennsylvania [Philadelphia]-Perelman School of Medicine
Subjects: MESH: Mutation, Nonsense mutation, MESH: Autistic Disorder, Epigenetics of autism, [SDV.GEN] Life Sciences [q-bio]/Genetics, Biology, MESH: Phenotype, MESH: Poisson Distribution, 03 medical and health sciences, 0302 clinical medicine, mental disorders, Genetic model, Missense mutation, MESH: Models, Genetic, Copy-number variation, Exome, MESH: Protein Interaction Maps, Exome sequencing, 030304 developmental biology, Genetics, MESH: Exome, [SDV.GEN]Life Sciences [q-bio]/Genetics, 0303 health sciences, MESH: Humans, Multidisciplinary, Point mutation, MESH: Genetic Predisposition to Disease, MESH: Transcription Factors, MESH: Case-Control Studies, MESH: Family Health, MESH: Multifactorial Inheritance, MESH: Exons, MESH: DNA-Binding Proteins, 030217 neurology & neurosurgery
Abstract: International audience; Autism spectrum disorders (ASD) are believed to have genetic and environmental origins, yet in only a modest fraction of individuals can specific causes be identified. To identify further genetic risk factors, here we assess the role of de novo mutations in ASD by sequencing the exomes of ASD cases and their parents (n = 175 trios). Fewer than half of the cases (46.3%) carry a missense or nonsense de novo variant, and the overall rate of mutation is only modestly higher than the expected rate. In contrast, the proteins encoded by genes that harboured de novo missense or nonsense mutations showed a higher degree of connectivity among themselves and to previous ASD genes as indexed by protein-protein interaction screens. The small increase in the rate of de novo events, when taken together with the protein interaction results, are consistent with an important but limited role for de novo point mutations in ASD, similar to that documented for de novo copy number variants. Genetic models incorporating these data indicate that most of the observed de novo events are unconnected to ASD; those that do confer risk are distributed across many genes and are incompletely penetrant (that is, not necessarily sufficient for disease). Our results support polygenic models in which spontaneous coding mutations in any of a large number of genes increases risk by 5- to 20-fold. Despite the challenge posed by such models, results from de novo events and a large parallel case-control study provide strong evidence in favour of CHD8 and KATNAL2 as genuine autism risk factors.
Published: 2012
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47. Autism gene variant causes hyperserotonemia, serotonin receptor hypersensitivity, social impairment and repetitive behavior

Author: Ana Carneiro, Elaine Sanders-Bush, Charisma R. Shah, W. Anthony Owens, Brent J. Thompson, Hideki Iwamoto, Ran Ye, Jennifer E. Sauer, Padmanabhan Mannangatti, Douglas G. McMahon, James S. Sutcliffe, Jordan Cohen, Lynette C. Daws, Randy D. Blakely, Jacqueline N. Crawley, Christopher L. Muller, Travis M. Kerr, Sammanda Ramamoorthy, Jeremy Veenstra-VanderWeele, and Tammy Jessen
Subjects: Genetically modified mouse, Serotonin, Multidisciplinary, Raphe, Transporter, Biological Sciences, Biology, medicine.disease, Disease Models, Animal, Mice, Basal (phylogenetics), Receptors, Serotonin, medicine, Animals, Homeostasis, Autism, Autistic Disorder, Stereotyped Behavior, Social Behavior, Receptor, Neuroscience, 5-HT receptor
Abstract: Fifty years ago, increased whole-blood serotonin levels, or hyperserotonemia, first linked disrupted 5-HT homeostasis to Autism Spectrum Disorders (ASDs). The 5-HT transporter (SERT) gene ( SLC6A4 ) has been associated with whole blood 5-HT levels and ASD susceptibility. Previously, we identified multiple gain-of-function SERT coding variants in children with ASD. Here we establish that transgenic mice expressing the most common of these variants, SERT Ala56, exhibit elevated, p38 MAPK-dependent transporter phosphorylation, enhanced 5-HT clearance rates and hyperserotonemia. These effects are accompanied by altered basal firing of raphe 5-HT neurons, as well as 5HT 1A and 5HT 2A receptor hypersensitivity. Strikingly, SERT Ala56 mice display alterations in social function, communication, and repetitive behavior. Our efforts provide strong support for the hypothesis that altered 5-HT homeostasis can impact risk for ASD traits and provide a model with construct and face validity that can support further analysis of ASD mechanisms and potentially novel treatments.
Published: 2012
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48. 0028 SHORTER SLEEP DURATION IS ASSOCIATED WITH SOCIAL IMPAIRMENT AND PSYCHIATRIC COMORBIDITIES IN AUTISM

Author: A. Pack, Zachary Warren, MH Potter, Olivia J. Veatch, Beth A. Malow, Brendan T. Keenan, and James S. Sutcliffe
Subjects: 0301 basic medicine, medicine.medical_specialty, business.industry, medicine.disease, Comorbidity, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Autism spectrum disorder, Physiology (medical), medicine, Insomnia, Autism, Neurology (clinical), medicine.symptom, business, Psychiatry, 030217 neurology & neurosurgery, Clinical psychology, Sleep duration
Published: 2017
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49. Use of array CGH to detect exonic copy number variants throughout the genome in autism families detects a novel deletion in TMLHE

Author: Zhishuo Ou, Stephen Sanders, Jian Li, A. Craig Chinault, Edwin H. Cook, Chad A. Shaw, James S. Sutcliffe, Patrícia B. S. Celestino-Soper, Michael T. Murtha, Pawel Stankiewicz, Matthew W. State, Lea K. Davis, Susanne Thomson, Tomasz Gambin, A. Gulhan Ercan-Sencicek, Arthur L. Beaudet, Jennifer R. German, and Aleksandar Milosavljevic
Subjects: Male, Proband, Genetics, Comparative Genomic Hybridization, DNA Copy Number Variations, Accession number (library science), Single-nucleotide polymorphism, Exons, Articles, General Medicine, Biology, Genome, Mixed Function Oxygenases, Humans, Female, Copy-number variation, Autistic Disorder, Molecular Biology, Gene, Genetics (clinical), X chromosome, Comparative genomic hybridization
Abstract: Autism is a neurodevelopmental disorder with increasing evidence of heterogeneous genetic etiology including de novo and inherited copy number variants (CNVs). We performed array comparative genomic hybridization using a custom Agilent 1 M oligonucleotide array intended to cover 197 332 unique exons in RefSeq genes; 98% were covered by at least one probe and 95% were covered by three or more probes with the focus on detecting relatively small CNVs that would implicate a single protein-coding gene. The study group included 99 trios from the Simons Simplex Collection. The analysis identified and validated 55 potentially pathogenic CNVs, categorized as de novo autosomal heterozygous, inherited homozygous autosomal, complex autosomal and hemizygous deletions on the X chromosome of probands. Twenty percent (11 of 55) of these CNV calls were rare when compared with the Database of Genomic Variants. Thirty-six percent (20 of 55) of the CNVs were also detected in the same samples in an independent analysis using the 1 M Illumina single-nucleotide polymorphism array. Findings of note included a common and sometimes homozygous 61 bp exonic deletion in SLC38A10, three CNVs found in lymphoblast-derived DNA but not present in whole-blood derived DNA and, most importantly, in a male proband, an exonic deletion of the TMLHE (trimethyllysine hydroxylase epsilon) that encodes the first enzyme in the biosynthesis of carnitine. Data for CNVs present in lymphoblasts but absent in fresh blood DNA suggest that these represent clonal outgrowth of individual B cells with pre-existing somatic mutations rather than artifacts arising in cell culture. GEO accession number GSE23765 (http://www.ncbi.nlm.nih.gov/geo/, date last accessed on 30 August 2011). Genboree accession: http://genboree.org/java-bin/gbrowser.jsp?refSeqId=1868&entryPointId=chr17&from=53496072&to=53694382&isPublic=yes, date last accessed on 30 August 2011.
Published: 2011
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50. Colocalization and Regulated Physical Association of Presynaptic Serotonin Transporters with A3Adenosine Receptors

Author: Randy D. Blakely, Nicholas G. Campbell, William A. Hewlett, Chong-Bin Zhu, James S. Sutcliffe, and Kathryn M. Lindler
Subjects: Pharmacology, Agonist, medicine.medical_specialty, medicine.drug_class, Biology, Serotonergic, Adenosine receptor, Endocrinology, Internal medicine, Serotonin Plasma Membrane Transport Proteins, medicine, Molecular Medicine, Serotonin, Signal transduction, Protein kinase A, Receptor
Abstract: Activation of A3 adenosine receptors (A3ARs) rapidly enhances the activity of antidepressant-sensitive serotonin (5-HT) transporters (SERTs) in vitro, ex vivo, and in vivo. A3AR agonist stimulation of SERT activity is lost in A3AR knockout mice. A3AR-stimulated SERT activity is mediated by protein kinase G1 (PKGI)- and p38 mitogen-activated protein kinase (MAPK)-linked pathways that support, respectively, enhanced SERT surface expression and catalytic activation. The mechanisms by which A3ARs target SERTs among other potential effectors is unknown. Here we present evidence that A3ARs are coexpressed with SERT in midbrain serotonergic neurons and form a physical complex in A3AR/hSERT cotransfected cells. Treatment of A3AR/SERT-cotransfected Chinese hamster ovary cells with the A3AR agonist N6-(3-iodobenzyl)-N-methyl-5′-carbamoyladenosine (1 μM, 10 min), conditions previously reported to increase SERT surface expression and 5-HT uptake activity, enhanced the abundance of A3AR/SERT complexes in a PKGI-dependent manner. Cotransfection of SERT with L90V-A3AR, a hyperfunctional coding variant identified in subjects with autism spectrum disorder, resulted in a prolonged recovery of receptor/transporter complexes after A3AR activation. Because PKGI and nitric-oxide synthetase are required for A3AR stimulation of SERT activity, and proteins PKGI and NOS both form complexes with SERT, our findings suggest a mechanism by which signaling pathways coordinating A3AR signaling to SERT can be spatially restricted and regulated, as well as compromised by neuropsychiatric disorders.
Published: 2011
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