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Stephen V. Faraone

· SUNY Upstate Medical University

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Stephen V. Faraone is a registered researcher in their academic field.

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Recent Publications

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Genetic Associations and Epidemiology, Genomic variations and chromosomal abnormalities, Genomics and Rare Diseases · 2022 · Nature

Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Vassily Trubetskoy, Antonio F. Pardiñas, Ting Qi, Georgia Panagiotaropoulou, Swapnil Awasthi, Tim B. Bigdeli, Julien Bryois, Chia‐Yen Chen, Charlotte Dennison, Lynsey S. Hall, Max Lam, Kyoko Watanabe, Oleksandr Frei, Tian Ge, Janet Harwood, Frank Koopmans, Sigurður H. Magnússon, Alexander Richards, Julia Sidorenko, Yang Wu, Jian Zeng, Jakob Grove, Minsoo Kim, Zhiqiang Li, Georgios Voloudakis, Wen Zhang, Mark J. Adams, Ingrid Agartz, Elizabeth G. Atkinson, Esben Agerbo, Mariam Al Eissa, Margot Albus, Madeline Alexander, Behrooz Z. Alizadeh, Köksal Alptekın, Thomas D. Als, Farooq Amin, Volker Arolt, Manuel Arrojo, Lavinia Athanasiu, M.H. Azevedo, Silviu‐Alin Bacanu, Nicholas Bass, Martin Begemann, Richard A. Belliveau, Judit Bene, Beben Benyamin, Sarah E. Bergen, Giuseppe Blasi, Julio Bobes, Stefano Bonassi, Alice Braun, Rodrigo A. Bressan, Evelyn J. Bromet, Richard Bruggeman, P.F. Buckley, Randy L. Buckner, Jonas Bybjerg‐Grauholm, Wiepke Cahn, Murray J. Cairns, Monica E. Calkins, Vaughan J. Carr, David Castle, Stanley V. Catts, Kimberley D. Chambert, Raymond Chan, Boris Chaumette, Wei Cheng, Eric F.C. Cheung, Siow Ann Chong, David Cohen, Angèle Consoli, Quirino Cordeiro, Javier Costas, Charles Curtis, Michael Davidson, Kenneth L. Davis, Lieuwe de Haan, Franziska Degenhardt, Lynn E. DeLisi, Ditte Demontis, Faith Dickerson, Dimitris Dikeos, Timothy G. Dinan, Srdjan Djurovic, Jubao Duan, Giuseppe Ducci, Frank Dudbridge, Johan G. Eriksson, Lourdes Fañanás, Stephen V. Faraone, Alessia Fiorentino, Andreas J. Forstner, Josef Frank, Nelson B. Freimer, Menachem Fromer, Alessandra Frustaci, Ary Gadelha, Giulio Genovese, Elliot S. Gershon

Schizophrenia has a heritability of 60–80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or untranslated region variation. We also implicate fundamental processes related to neuronal function, including synaptic organization, differentiation and transmission. Fine-mapped candidates were enriched for genes associated with rare disruptive coding variants in people with schizophrenia, including the glutamate receptor subunit GRIN2A and transcription factor SP4, and were also enriched for genes implicated by such variants in neurodevelopmental disorders. We identify biological processes relevant to schizophrenia pathophysiology; show convergence of common and rare variant associations in schizophrenia and neurodevelopmental disorders; and provide a resource of prioritized genes and variants to advance mechanistic studies. A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

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Attention Deficit Hyperactivity Disorder, Neuroethics, Human Enhancement, Biomedical Innovations, Medical Research and Practices · 2021 · Neuroscience & Biobehavioral Reviews

The World Federation of ADHD International Consensus Statement: 208 Evidence-based conclusions about the disorder

BACKGROUND: Misconceptions about ADHD stigmatize affected people, reduce credibility of providers, and prevent/delay treatment. To challenge misconceptions, we curated findings with strong evidence base. METHODS: We reviewed studies with more than 2000 participants or meta-analyses from five or more studies or 2000 or more participants. We excluded meta-analyses that did not assess publication bias, except for meta-analyses of prevalence. For network meta-analyses we required comparison adjusted funnel plots. We excluded treatment studies with waiting-list or treatment as usual controls. From this literature, we extracted evidence-based assertions about the disorder. RESULTS: We generated 208 empirically supported statements about ADHD. The status of the included statements as empirically supported is approved by 80 authors from 27 countries and 6 continents. The contents of the manuscript are endorsed by 366 people who have read this document and agree with its contents. CONCLUSIONS: Many findings in ADHD are supported by meta-analysis. These allow for firm statements about the nature, course, outcome causes, and treatments for disorders that are useful for reducing misconceptions and stigma.