Suchergebnisse

AbstractIntroductionSocial disruption associated with coronavirus disease 2019 (COVID‐19) threatens to impede access to regular healthcare, including for people living with HIV (PLHIV), potentially resulting in antiretroviral therapy (ART) interruption (ATI). We aimed to explore the characteristics and factors associated with ATI during the COVID‐19 outbreak in China.MethodsWe conducted an online survey among PLHIV by convenience sampling through social media between 5 and 17 February 2020. Respondents were asked to report whether they were at risk of ATI (i.e. experienced ATI, risk of imminent ATI, threatened but resolved risk of ATI [obtaining ART prior to interruption]) or were not at risk of ATI associated with the COVID‐19 outbreak. PLHIV were also asked to report perceived risk factors for ATI and sources of additional ART. The factors associated with the risk of ATI were assessed using logistic regression. We also evaluated the factors associated with experienced ATI.ResultsA total of 5084 PLHIV from 31 provinces, autonomous regions and municipalities in mainland China completed the survey, with valid response rate of 99.4%. The median age was 31 years (IQR 27 to 37), 96.5% of participants were men, and 71.3% were men who had sex with men. Over one‐third (35.1%, 1782/5084) reported any risk of ATI during the COVID‐19 outbreak, including 2.7% (135/5084) who experienced ATI, 18.0% (917/5084) at risk of imminent ATI and 14.4% (730/5084) at threatened but resolved risk. PLHIV with ATI were more likely to have previous interruptions in ART (aOR 8.3, 95% CI 5.6 to 12.3), travelled away from where they typically receive HIV care (aOR 3.0, 95% CI 2.1 to 4.5), stayed in an area that implemented citywide lockdowns or travel restrictions to control COVID‐19 (aOR 2.5, 95% CI 1.4 to 4.6), and be in permanent residence in a rural area (aOR 3.7, 95% CI 2.3 to 5.8).ConclusionsA significant proportion of PLHIV in China are at risk of ATI during the COVID‐19 outbreak and some have already experienced ATI. Correlates of ATI and self‐reported barriers to ART suggest that social disruptions from COVID‐19 have contributed to ATI. Our findings demonstrate an urgent need for policies and interventions to maintain access to HIV care during public health emergencies.

INTRODUCTION: Buccal midazolam treatment is licensed in the European Union for prolonged acute convulsive seizures in children and adolescents, but the buccal pathway is often hampered by jaw clenching, hypersalivation, or uncontrolled swallowing. Midazolam formulations that are more secure, reliable, and faster for use are needed in the acute setting. Pharmacokinetics and comparative bioavailability of intranasally administered midazolam and two midazolam intravenous solutions administered buccally or intravenously in healthy adults were evaluated. METHODS: In this phase 1, open-label, randomized, single-dose, three-period, three-sequence crossover study, 12 healthy adults (19–41 years) were randomly assigned to receive 2.5 mg midazolam intranasally; 2.5 mg midazolam intravenously; 2.5 mg midazolam buccally. Blood samples were collected for 10 h post dose to determine pharmacokinetic profiles. Adverse events and vital signs were recorded. RESULTS: Intranasal administration of 2.5 mg midazolam demonstrated a more rapid median time to C(max) compared to buccal administration of midazolam (T(max), 12.6 min vs. 45 min; C(max), 38.33 ng/ml vs. 24.97 ng/ml). The antiepileptic effect of intranasal and buccal midazolam treatment lasted less than 4 h and generally did not differ from intravenously administered midazolam. No serious adverse events or deaths were reported, and no treatment-emergent adverse events led to study discontinuation. CONCLUSION: Intranasal administration of midazolam may be a preferable alternative to the currently approve buccal midazolam treatment for prolonged acute convulsive seizures in children and adolescents. TRIAL REGISTRATION: This study is registered at the Chinese Clinical Trial [http://www.chictr.org.cn] (ChiCTR2000032595) on 3 May, 2020.

Fu Jin,1 Huan-Li Luo,1 Juan Zhou,2 Ya-Nan He,1 Xian-Feng Liu,1 Ming-Song Zhong,1 Han Yang,1 Chao Li,1 Qi-Cheng Li,1 Xia Huang,1 Xiu-Mei Tian,1 Da Qiu,1 Guang-Lei He,1 Li Yin,1 Ying Wang1 1Department of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People's Republic of China; 2Forensic Identification Center, College of Criminal Investigation, Southwest University of Political Science and Law, Chongqing, People's Republic of China Abstract: Modern radiotherapy (RT) is being enriched by big digital data and intensive technology. Multimodality image registration, intelligence-guided planning, real-time tracking, image-guided RT (IGRT), and automatic follow-up surveys are the products of the digital era. Enormous digital data are created in the process of treatment, including benefits and risks. Generally, decision making in RT tries to balance these two aspects, which is based on the archival and retrieving of data from various platforms. However, modern risk-based analysis shows that many errors that occur in radiation oncology are due to failures in workflow. These errors can lead to imbalance between benefits and risks. In addition, the exact mechanism and dose–response relationship for radiation-induced malignancy are not well understood. The cancer risk in modern RT workflow continues to be a problem. Therefore, in this review, we develop risk assessments based on our current knowledge of IGRT and provide strategies for cancer risk reduction. Artificial intelligence (AI) such as machine learning is also discussed because big data are transforming RT via AI. Keywords: cancer risk, radiotherapy, workflow, big data

Solution-processable perovskites show highly emissive and good charge transport, making them attractive for low-cost light-emitting diodes (LEDs) with high energy conversion efficiencies. Despite recent advances in device efficiency, the stability of perovskite LEDs is still a major obstacle. Here, we demonstrate stable and bright perovskite LEDs with high energy conversion efficiencies by optimizing formamidinium lead iodide films. Our LEDs show an energy conversion efficiency of 10.7%, and an external quantum efficiency of 14.2% without outcoupling enhancement through controlling the concentration of the precursor solutions. The device shows low efficiency droop, i.e. 8.3% energy conversion efficiency and 14.0% external quantum efficiency at a current density of 300 mA cm(-2), making the device more efficient than state-of-the-art organic and quantum-dot LEDs at high current densities. Furthermore, the half-lifetime of device with benzylamine treatment is 23.7 hr under a current density of 100 mA cm(-2), comparable to the lifetime of near-infrared organic LEDs. ; Funding Agencies|Joint Research Program between China and European Union [2016YFE0112000]; Major Research Plan of the National Natural Science Foundation of China [91733302]; National Basic Research Program of China-Fundamental Studies of Perovskite Solar Cells [2015CB932200]; Natural Science Foundation of Jiangsu Province, China [BK20150043, BK20150064, BK20180085]; National Key R&D Program of China [2016YFB0401600, 2017YFB0404500, 2018YFB0406704]; National Natural Science Foundation of China [11474164, 61875084, 61634001, 51522209, 91433204]; National Science Fund for Distinguished Young Scholars [61725502]; Major Program of Natural Science Research of Jiangsu Higher Education Institutions of China [18KJA510002]; Synergetic Innovation Center for Organic Electronics and Information Displays; Natural Science Foundation of Zhejiang Province, China [LY17A040008]

Producing liquid fuels such as ethanol from CO2, H2O, and renewable electricity offers a route to store sustainable energy. The search for efficient electrocatalysts for the CO2 reduction reaction relies on tuning the adsorption strength of carbonaceous intermediates. Here, we report a complementary approach in which we utilize hydroxide and oxide doping of a catalyst surface to tune the adsorbed hydrogen on Cu. Density functional theory studies indicate that this doping accelerates water dissociation and changes the hydrogen adsorption energy on Cu. We synthesize and investigate a suite of metal-hydroxide-interface-doped-Cu catalysts, and find that the most efficient, Ce(OH)x-doped-Cu, exhibits an ethanol Faradaic efficiency of 43% and a partial current density of 128 mA cm-2. Mechanistic studies, wherein we combine investigation of hydrogen evolution performance with the results of operando Raman spectroscopy, show that adsorbed hydrogen hydrogenates surface *HCCOH, a key intermediate whose fate determines branching to ethanol versus ethylene. ; The authors acknowledge funding supporting from Suncor Energy, the Ontario Research Fund and the Natural Sciences and Engineering Research Council (NSERC). All DFT calculations were performed on the IBM BlueGene/Q supercomputer with support from the Southern Ontario Smart Computing Innovation Platform (SOSCIP) and Niagara supercomputer at the SciNet HPC Consortium. SOSCIP is funded by the Federal Economic Development Agency of Southern Ontario, the Province of Ontario, IBM Canada Ltd., Ontario Centres of Excellence, Mitacs, and 15 Ontario academic member institutions. SciNet is funded by the Canada Foundation for Innovation, the Government of Ontario, Ontario Research Fund – Research Excellence, and the University of Toronto.This research used synchrotron resources of the Advanced Photon Source (APS), an Office of Science User Facility operated for the U.S. Department of Energy (DOE) Office of Science by Argonne National Laboratory, and was supported by the U.S. DOE under Contract No. DE-AC02-06CH11357, and the Canadian Light Source and its funding partners.

Background: The key aim of the study is to establish an agreed standardised core outcome set (COS) for use when evaluating non-pharmacological health and social care interventions for people living at home with dementia. Methods/design: Drawing on the guidance and approaches of the Core Outcome Measures in Effectiveness Trials (COMET), this study uses a four-phase mixed-methods design: 1 Focus groups and interviews with key stakeholder groups (people living with dementia, care partners, relevant health and social care professionals, researchers and policymakers) and a review of the literature will be undertaken to build a long list of outcomes. 2 Two rounds of Delphi surveys will be used with key stakeholder groups. Statements for the Delphi surveys and participation processes will be developed and informed through substantial member involvement with people living with dementia and care partners. A consensus meeting will be convened with key participant groups to discuss the key findings and finalise the COS. 3 A systematic literature review will be undertaken to assess the properties of tools and instruments to assess components of the COS. Measurement properties, validity and reliability will be assessed using the Consensus-based Standards for the Selection of Health Measurement (COSMIN) and COMET guidance. 4 A stated preference survey will elicit the preferences of key stakeholders for the outcomes identified as important to measure in the COS. Discussion: To the best of our knowledge, this study is the first to use a modified Delphi process to involve people living with dementia as a participant group. Though the study is confined to collecting data in the United Kingdom, use of the COS by researchers will enhance the comparability of studies evaluating non-pharmacological and community-based interventions. ; Funding Agencies|ESRC; NIHR

The renewable-electricity-powered CO2 electroreduction reaction provides a promising means to store intermittent renewable energy in the form of valuable chemicals and dispatchable fuels. Renewable methane produced using CO2 electroreduction attracts interest due to the established global distribution network; however, present-day efficiencies and activities remain below those required for practical application. Here we exploit the fact that the suppression of *CO dimerization and hydrogen evolution promotes methane selectivity: we reason that the introduction of Au in Cu favors *CO protonation vs. C-C coupling under low *CO coverage and weakens the *H adsorption energy of the surface, leading to a reduction in hydrogen evolution. We construct experimentally a suite of Au-Cu catalysts and control *CO availability by regulating CO2 concentration and reaction rate. This strategy leads to a 1.6× improvement in the methane:H2 selectivity ratio compared to the best prior reports operating above 100 mA cm-2. We as a result achieve a CO2-to-methane Faradaic efficiency (FE) of (56 ± 2)% at a production rate of (112 ± 4) mA cm-2. ; This work was supported by the Natural Gas Innovation Fund, the Natural Sciences and Engineering Research Council (NSERC) of Canada, the Natural Resources Canada Clean Growth Program, and the Ontario Research Fund—Research Excellence program. All DFT computations were performed on the Niagara supercomputer at the SciNet HPC Consortium. SciNet is funded by the Canada Foundation for Innovation, the Government of Ontario, the Ontario Research Fund Research Excellence Program, and the University of Toronto. The XPS, TEM/STEM, SEM, and EDX analyses were carried out at the CFI-funded Ontario Centre for the Characterization of Advanced Materials at the University of Toronto. The authors acknowledge the Paul Scherrer Institut, Villigen, Switzerland, for the provision of synchrotron radiation beamtime at beamline SuperXAS of the SLS and would like to thank Dr. Maarten Nachtegaal for assistance. Part of this research used resources of the Advanced Photon Source, an Office of Science User Facility operated for the U.S. Department of Energy (DOE) Office of Science by Argonne National Laboratory, and was supported by the U.S. DOE under Contract No. DE-AC02-06CH11357, and the Canadian Light Source and its funding partners. D.S. acknowledges the NSERC E.W.R. Steacie Memorial Fellowship. J.L. acknowledges the financial support from the European Union's Horizon 2020 Research and Innovation program under the Marie Skłodowska-Curie Grant Agreement (MSCA) No. 838686.

The highly infectious disease COVID-19 caused by the Betacoronavirus SARS-CoV-2 poses a severe threat to humanity and demands the redirection of scientific efforts and criteria to organized research projects. The international COVID19-NMR consortium seeks to provide such new approaches by gathering scientific expertise worldwide. In particular, making available viral proteins and RNAs will pave the way to understanding the SARS-CoV-2 molecular components in detail. The research in COVID19-NMR and the resources provided through the consortium are fully disclosed to accelerate access and exploitation. NMR investigations of the viral molecular components are designated to provide the essential basis for further work, including macromolecular interaction studies and high-throughput drug screening. Here, we present the extensive catalog of a holistic SARS-CoV-2 protein preparation approach based on the consortium's collective efforts. We provide protocols for the large-scale production of more than 80% of all SARS-CoV-2 proteins or essential parts of them. Several of the proteins were produced in more than one laboratory, demonstrating the high interoperability between NMR groups worldwide. For the majority of proteins, we can produce isotope-labeled samples of HSQC-grade. Together with several NMR chemical shift assignments made publicly available on covid19-nmr.com, we here provide highly valuable resources for the production of SARS-CoV-2 proteins in isotope-labeled form. ; This work was supported by Goethe University (Corona funds), the DFG-funded CRC: "Molecular Principles of RNA-Based Regulation," DFG infrastructure funds (project numbers: 277478796, 277479031, 392682309, 452632086, 70653611), the state of Hesse (BMRZ), the Fondazione CR Firenze (CERM), and the IWB-EFRE-program 20007375. This project has received funding from the European Union's Horizon 2020 research and innovation program under Grant Agreement No. 871037. AS is supported by DFG Grant SCHL 2062/2-1 and by the JQYA at Goethe through project number 2019/AS01. Work in the lab of KV was supported by a CoRE grant from the University of New Hampshire. The FLI is a member of the Leibniz Association (WGL) and financially supported by the Federal Government of Germany and the State of Thuringia. Work in the lab of RM was supported by NIH (2R01EY021514) and NSF (DMR-2002837). BN-B was supported by theNSF GRFP.MCwas supported byNIH (R25 GM055246 MBRS IMSD), and MS-P was supported by the HHMI Gilliam Fellowship. Work in the labs of KJ and KT was supported by Latvian Council of Science Grant No. VPP-COVID 2020/1-0014. Work in the UPAT's lab was supported by the INSPIRED (MIS 5002550) project, which is implemented under the Action "Reinforcement of the Research and Innovation Infrastructure," funded by the Operational Program "Competitiveness, Entrepreneurship and Innovation" (NSRF 2014–2020) and cofinanced by Greece and the EU (European Regional Development Fund) and the FP7 REGPOT CT-2011- 285950–"SEE-DRUG" project (purchase of UPAT's 700MHz NMR equipment). Work in the CM-G lab was supported by the Helmholtz society. Work in the lab of ABö was supported by the CNRS, the French National Research Agency (ANR, NMRSCoV2- ORF8), the Fondation de la Recherche Médicale (FRM, NMR-SCoV2-ORF8), and the IR-RMN-THC Fr3050 CNRS. Work in the lab of BM was supported by the Swiss National Science Foundation (Grant number 200020_188711), the Günthard Stiftung für Physikalische Chemie, and the ETH Zurich. Work in the labs of ABö and BM was supported by a common grant from SNF (grant 31CA30_196256). This work was supported by the ETHZurich, the grant ETH40 18 1, and the grant Krebsliga KFS 4903 08 2019. Work in the lab of the IBS Grenoble was supported by the Agence Nationale de Recherche (France) RA-COVID SARS2NUCLEOPROTEIN and European Research Council Advanced Grant DynamicAssemblies. Work in the CA lab was supported by Patto per il Sud della Regione Siciliana–CheMISt grant (CUP G77B17000110001). Part of this work used the platforms of the Grenoble Instruct-ERIC center (ISBG; UMS 3518 CNRS-CEA-UGA-EMBL) within the Grenoble Partnership for Structural Biology (PSB), supported by FRISBI (ANR-10-INBS-05-02) and GRAL, financed within the University Grenoble Alpes graduate school (Ecoles Universitaires de Recherche) CBH-EUR-GS (ANR-17-EURE- 0003). Work at the UW-Madison was supported by grant numbers NSF MCB2031269 and NIH/NIAID AI123498. MM is a Ramón y Cajal Fellow of the Spanish AEI-Ministry of Science and Innovation (RYC2019-026574-I), and a "La Caixa" Foundation (ID 100010434) Junior Leader Fellow (LCR/BQ/PR19/11700003). Funded by project COV20/00764 fromthe Carlos III Institute of Health and the SpanishMinistry of Science and Innovation to MMand DVL. VDJ was supported by the Boehringer Ingelheim Fonds. Part of this work used the resources of the Italian Center of Instruct-ERIC at the CERM/ CIRMMP infrastructure, supported by the Italian Ministry for University and Research (FOE funding). CF was supported by the Stiftung Polytechnische Gesellschaft. Work in the lab of JH was supported by NSF (RAPID 2030601) and NIH (R01GM123249). ; Peer reviewed

The direct estimation of heritability from genome-wide common variant data as implemented in the program Genome-wide Complex Trait Analysis (GCTA) has provided a means to quantify heritability attributable to all interrogated variants. We have quantified the variance in liability to disease explained by all SNPs for two phenotypically-related neurobehavioral disorders, obsessive-compulsive disorder (OCD) and Tourette Syndrome (TS), using GCTA. Our analysis yielded a heritability point estimate of 0.58 (se = 0.09, p = 5.64e-12) for TS, and 0.37 (se = 0.07, p = 1.5e-07) for OCD. in addition, we conducted multiple genomic partitioning analyses to identify genomic elements that concentrate this heritability. We examined genomic architectures of TS and OCD by chromosome, MAF bin, and functional annotations. in addition, we assessed heritability for early onset and adult onset OCD. Among other notable results, we found that SNPs with a minor allele frequency of less than 5% accounted for 21% of the TS heritability and 0% of the OCD heritability. Additionally, we identified a significant contribution to TS and OCD heritability by variants significantly associated with gene expression in two regions of the brain (parietal cortex and cerebellum) for which we had available expression quantitative trait loci (eQTLs). Finally we analyzed the genetic correlation between TS and OCD, revealing a genetic correlation of 0.41 (se = 0.15, p = 0.002). These results are very close to previous heritability estimates for TS and OCD based on twin and family studies, suggesting that very little, if any, heritability is truly missing (i.e., unassayed) from TS and OCD GWAS studies of common variation. the results also indicate that there is some genetic overlap between these two phenotypically-related neuropsychiatric disorders, but suggest that the two disorders have distinct genetic architectures. ; Judah Foundation ; NIH ; Tourette Syndrome Association International Consortium for Genetics (TSAICG) ; New Jersey Center for Tourette Syndrome and Associated Disorders ; NIMH ; Obsessive Compulsive Foundation ; Ontario Mental Health Foundation ; Tourette Syndrome Association ; American Academy of Child and Adolescent Psychiatry (AACAP) ; Anxiety Disorders Association of America (ADAA) ; University of British Columbia ; Michael Smith Foundation ; American Recovery and Re-investment Act (ARRA) ; Australian Research Council ; Australian National Health and Medical Research Council ; German Research Foundation ; NIH Genes, Environment and Health Initiative [GEI] ; Gene Environment Association Studies (GENEVA) under GEI ; NIH GEI ; National Institute on Alcohol Abuse and Alcoholism ; National Institute on Drug Abuse ; Univ Chicago, Dept Med, Med Genet Sect, Chicago, IL 60637 USA ; Harvard Univ, Massachusetts Gen Hosp, Dept Psychiat,Sch Med, Psychiat & Neurodev Genet Unit,Ctr Human Genet Re, Boston, MA USA ; Broad Inst Harvard & MIT, Stanley Ctr Psychiat Res, Cambridge, MA USA ; Univ Chicago, Dept Med, Chicago, IL 60637 USA ; Univ Chicago, Dept Human Genet, Chicago, IL 60637 USA ; Univ Amsterdam, Acad Med Ctr, Dept Psychiat, NL-1105 AZ Amsterdam, Netherlands ; Massachusetts Gen Hosp, Analyt & Translat Genet Unit, Boston, MA 02114 USA ; Univ Queensland, Diamantina Inst, Brisbane, Qld 4072, Australia ; Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia ; Univ Hlth Network, Toronto Western Res Inst, Toronto, ON, Canada ; Hosp Sick Children, Toronto, ON M5G 1X8, Canada ; Univ Vita Salute San Raffaele, Milan, Italy ; Hadassah Hebrew Univ Med Ctr, Herman Dana Div Child & Adolescent Psychiat, Jerusalem, Israel ; Univ Pontificia Bolivariana, Univ Antioquia, Medellin, Colombia ; Johns Hopkins Univ, Sch Med, Dept Psychiat & Behav Sci, Baltimore, MD 21205 USA ; Yale Univ, Dept Psychiat, New Haven, CT 06520 USA ; Yale Univ, Sch Med, Ctr Child Study, New Haven, CT 06510 USA ; North Shore Long Isl Jewish Med Ctr, Manhasset, NY USA ; NYU Med Ctr, New York, NY 10016 USA ; North Shore Long Isl Jewish Hlth Syst, Manhasset, NY USA ; Hofstra Univ, Sch Med, Hempstead, NY 11550 USA ; Inst Nacl Psiquiatria Ramon de la Fuente Muniz, Mexico City, DF, Mexico ; UCL, London, England ; Univ Hong Kong, Dept Psychiat, Hong Kong, Hong Kong, Peoples R China ; Univ São Paulo, Sch Med, Dept Psychiat, São Paulo, Brazil ; Vrije Univ Amsterdam, Med Ctr, Dept Psychiat, Amsterdam, Netherlands ; Univ Utrecht, Dept Clin & Hlth Psychol, Utrecht, Netherlands ; Altrecht Acad Anxiety Ctr, Utrecht, Netherlands ; Univ Milan, Osped San Raffaele, I-20127 Milan, Italy ; Univ Calif Los Angeles, Dept Psychol, Los Angeles, CA 90024 USA ; Univ Calif San Diego, Dept Psychiat, La Jolla, CA 92093 USA ; Univ Montreal, Montreal, PQ, Canada ; Univ Calif Los Angeles, Keck Sch Med, Div Biostat, Dept Preventat Med, Los Angeles, CA USA ; Univ Illinois, Dept Psychiat, Inst Juvenile Res, Chicago, IL 60612 USA ; Univ Ghent, Lab Pharmaceut Biotechnol, B-9000 Ghent, Belgium ; Inst Pasteur, Paris, France ; French Natl Sci Fdn, Fondat Fondamental, Creteil, France ; Hop Robert Debre, AP HP, Dept Child & Adolescent Psychiat, F-75019 Paris, France ; Univ Montreal, Dept Psychiat, Montreal, PQ H3C 3J7, Canada ; Univ Wurzburg, Dept Child & Adolescent Psychiat Psychosomat & Ps, D-97070 Wurzburg, Germany ; Univ Munich, Dept Psychiat & Psychotherapy, Munich, Germany ; Yale Univ, Sch Med, Dept Psychiat, New Haven, CT USA ; Harvard Univ, Sch Med, Dept Psychiat, Massachusetts Gen Hosp,OCD Program, Boston, MA 02115 USA ; Univ Med Greifswald, Helios Hosp Stralsund, Dept Psychiat & Psychotherapy, Greifswald, Germany ; Butler Hosp, Brown Med Sch, Dept Psychiat & Human Behav, Providence, RI 02906 USA ; Shaare Zedek Med Ctr, Neuropediatr Unit, Jerusalem, Israel ; Rutgers State Univ, Dept Genet, Human Genet Inst New Jersey, Piscataway, NJ USA ; Univ Stellenbosch, Dept Psychiat, ZA-7600 Stellenbosch, South Africa ; Univ São Paulo, Fac Med, Dept Psychiat, BR-05508 São Paulo, Brazil ; Baylor Coll Med, Dept Neurol, Parkinsons Dis Ctr, Houston, TX 77030 USA ; Baylor Coll Med, Dept Neurol, Movement Disorders Clin, Houston, TX 77030 USA ; Massachusetts Gen Hosp, Dept Psychiat, Boston, MA 02114 USA ; Ctr Addict & Mental Hlth, Neurogenet Sect, Toronto, ON, Canada ; Univ Toronto, Dept Psychiat, Toronto, ON, Canada ; Yale Univ, Sch Med, Dept Genet, Yale Child Study Ctr, New Haven, CT 06510 USA ; Overlook Hosp, Atlantic Neurosci Inst, Summit, NJ USA ; Carracci Med Grp, Mexico City, DF, Mexico ; Inst Mondor Rech Biomed, Creteil, France ; Yale Univ, Ctr Child Study, New Haven, CT 06520 USA ; Univ Bonn, Dept Psychiat & Psychotherapy, Bonn, Germany ; Univ Illinois, Dept Psychiat, Inst Human Genet, Chicago, IL 60612 USA ; Univ Stellenbosch, Dept Psychiat, MRC Unit Anxiety & Stress Disorders, ZA-7600 Stellenbosch, South Africa ; Univ Calif San Francisco, Dept Psychiat, San Francisco, CA USA ; UCI, Sch Med, Dept Psychiat & Human Behav, Irvine, CA USA ; Univ Utah, Salt Lake City, UT USA ; NIMH Intramural Res Program, Clin Sci Lab, Bethesda, MD USA ; Med City Dallas Hosp, Dept Clin Res, Dallas, TX USA ; Univ Med Ctr, Rudolf Magnus Inst Neurosci, Dept Psychiat, Utrecht, Netherlands ; Univ Calif Los Angeles, Semel Inst Neurosci & Human Behav, Ctr Neurobehav Genet, Los Angeles, CA 90024 USA ; Yale Univ, Sch Med, Dept Genet, New Haven, CT 06510 USA ; Univ So Calif, Keck Sch Med, Zilkha Neurogenet Inst, Dept Psychiat & Behav Sci, Los Angeles, CA 90033 USA ; Univ Calif Los Angeles, David Geffen Sch Med, Dept Psychiat & Biobehav Sci, Los Angeles, CA 90095 USA ; Yale Univ, Dept Psychol, New Haven, CT 06520 USA ; Partners Psychiat & McLean Hosp, Boston, MA USA ; Sunnybrook Hlth Sci Ctr, Frederick W Thompson Anxiety Disorders Ctr, Toronto, ON M4N 3M5, Canada ; St George Hosp, London, England ; Sch Med, London, England ; Hosp Nacl Ninos Dr Carlos Saenz Herrera, San Jose, Costa Rica ; Universidade Federal de São Paulo, Dept Psychiat, Child & Adolescent Psychiat Unit UPIA, São Paulo, Brazil ; Wayne State Univ, Dept Psychiat & Behav Neurosci, Detroit, MI 48207 USA ; Detroit Med Ctr, Detroit, MI USA ; McGill Univ, Montreal Neurol Inst, Montreal, PQ, Canada ; Univ Cologne, Dept Psychiat & Psychotherapy, D-50931 Cologne, Germany ; Univ Fed Bahia, Univ Hlth Care Serv SMURB, Salvador, BA, Brazil ; Youthdale Treatment Ctr, Toronto, ON, Canada ; Johns Hopkins Univ Sch Med, Baltimore, MD USA ; Univ Cape Town, ZA-7925 Cape Town, South Africa ; Univ Med Ctr Utrecht, Dept Med Genet, Utrecht, Netherlands ; Vanderbilt Univ, Kennedy Ctr Res Human Dev, Dept Psychiat, Nashville, TN 37235 USA ; Vanderbilt Univ, Kennedy Ctr Res Human Dev, Dept Pediat & Pharmacol, Nashville, TN 37235 USA ; Vanderbilt Univ, Inst Brain, Nashville, TN 37235 USA ; Univ Zurich, Dept Child & Adolescent Psychiat, Zurich, Switzerland ; Univ Wurzburg, Dept Child & Adolescent Psychiat, D-97070 Wurzburg, Germany ; Univ Amsterdam, Acad Med Ctr, Ctr Psychiat, NL-1105 BC Amsterdam, Netherlands ; Inst Royal Netherlands Acad Arts & Sci NIN KNAW, Netherlands Inst Neurosci, Amsterdam, Netherlands ; NIMH Intramural Res Program, Unit Stat Genom, Bethesda, MD USA ; Univ Utah, Dept Psychiat, Salt Lake City, UT USA ; Natl Inst Genom Med SAP, Carracci Med Grp, Mexico City, DF, Mexico ; Vrije Univ Amsterdam, Ctr Neurogen & Cognit Res, Dept Funct Genom, Amsterdam, Netherlands ; Vrije Univ Amsterdam Med Ctr, Dept Clin Genet, Amsterdam, Netherlands ; Erasmus Univ, Med Ctr, Dept Child & Adolescent Psychiat, Rotterdam, Netherlands ; Univ Michigan, Dept Psychiat, Ann Arbor, MI 48109 USA ; Vrije Univ Amsterdam, Med Ctr, Dept Clin Genet, Sect Med Genom, Amsterdam, Netherlands ; German Ctr Neurodegenerat Dis, Tubingen, Germany ; Hosp Sick Children, Program Genet & Genome Biol, Toronto, ON M5G 1X8, Canada ; Erasmus MC, Dept Clin Genet, Rotterdam, Netherlands ; Univ British Columbia, British Columbia Mental Hlth & Addict Res Inst, Vancouver, BC V5Z 1M9, Canada ; Brigham & Womens Hosp, Div Cognit & Behav Neurol, Boston, MA 02115 USA ; Massachusetts Gen Hosp, Dept Neurol, Boston, MA 02114 USA ; Universidade Federal de São Paulo, Dept Psychiat, Child & Adolescent Psychiat Unit UPIA, São Paulo, Brazil ; NIH: NS40024 ; NIH: NS16648 ; NIH: MH079489 ; NIH: MH073250 ; NIH: NS037484 ; NIH: 1R01MH079487-01A1 ; NIH: K20 MH01065 ; NIH: R01 MH58376 ; NIH: MH085057 ; NIH: MH079494 ; NIH: HHSN268200782096C ; NIMH: R01MH092293 ; American Recovery and Re-investment Act (ARRA): NS40024-07S1 ; American Recovery and Re-investment Act (ARRA): NS16648-29S1 ; Australian Research Council: FT0991360 ; Australian Research Council: DE130100614 ; Australian National Health and Medical Research Council: 1047956 ; Australian National Health and Medical Research Council: 1052684 ; German Research Foundation: DFG GR 1912/1-1 ; NIH Genes, Environment and Health Initiative [GEI]: U01 HG004422 ; NIH GEI: U01HG004438 ; : R01 MH090937 ; : P50MH094267 ; Web of Science