S
Stephen V. Faraone
Researcher at State University of New York Upstate Medical University
Publications - 1470
Citations - 155368
Stephen V. Faraone is an academic researcher from State University of New York Upstate Medical University. The author has contributed to research in topics: Attention deficit hyperactivity disorder & Bipolar disorder. The author has an hindex of 188, co-authored 1427 publications receiving 140298 citations. Previous affiliations of Stephen V. Faraone include University of Bergen & National Institute for Health Research.
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Journal ArticleDOI
Intellectual performance and school failure in children with attention deficit hyperactivity disorder and in their siblings.
Stephen V. Faraone,Joseph Biederman,Belinda Krifcher Lehman,Thomas J. Spencer,Dennis K. Norman,Larry J. Seidman,Ilana Kraus,James M. Perrin,Wei J. Chen,Ming T. Tsuang +9 more
TL;DR: Investigation of psychiatric and intellectual assessments of children with attention deficit hyperactivity disorder and their siblings found converging evidence that the ADHD syndrome is familial.
Journal ArticleDOI
A Comparison of the Efficacy of Medications for Adult Attention-Deficit/Hyperactivity Disorder Using Meta-Analysis of Effect Sizes
TL;DR: Although both stimulant and nonstimulant medications are effective for treating ADHD in adults, stimulant medications show greater efficacy for the short durations of treatment characteristic of placebo-controlled studies.
Journal ArticleDOI
A large, double-blind, randomized clinical trial of methylphenidate in the treatment of adults with attention-deficit/hyperactivity disorder
Thomas J. Spencer,Joseph Biederman,Timothy E. Wilens,Robert Doyle,Craig B. H. Surman,Jefferson B. Prince,Eric Mick,Megan Aleardi,Kathleen Herzig,Stephen V. Faraone +9 more
TL;DR: A marked therapeutic response for the MPH treatment of ADHD symptoms that exceeded the placebo response was found and robust doses of MPH are effective in the treatment of adult ADHD.
Journal ArticleDOI
Genome-wide copy number variation study associates metabotropic glutamate receptor gene networks with attention deficit hyperactivity disorder
Josephine Elia,Joseph T. Glessner,Kai Wang,Nagahide Takahashi,Corina Shtir,Dexter Hadley,Patrick M. A. Sleiman,Haitao Zhang,Cecilia E. Kim,Reid J. Robison,Gholson J. Lyon,James H. Flory,Jonathan P. Bradfield,Marcin Imielinski,Cuiping Hou,Edward C. Frackelton,Rosetta M. Chiavacci,Takeshi Sakurai,Cara R. Rabin,Frank A. Middleton,Kelly A. Thomas,Maria Garris,Frank D. Mentch,Christine M. Freitag,Hans-Christoph Steinhausen,Hans-Christoph Steinhausen,Hans-Christoph Steinhausen,Alexandre A. Todorov,Andreas Reif,Aribert Rothenberger,Barbara Franke,Eric Mick,Herbert Roeyers,Jan K. Buitelaar,Klaus-Peter Lesch,Tobias Banaschewski,Richard P. Ebstein,Fernando Mulas,Robert D. Oades,Joseph A. Sergeant,Edmund J.S. Sonuga-Barke,Edmund J.S. Sonuga-Barke,Edmund J.S. Sonuga-Barke,Tobias J. Renner,Marcel Romanos,Jasmin Romanos,Andreas Warnke,Susanne Walitza,Susanne Walitza,Jobst Meyer,Haukur Palmason,Christiane Seitz,Sandra K. Loo,Susan L. Smalley,Joseph Biederman,Lindsey Kent,Philip Asherson,Richard Anney,J. William Gaynor,Philip Shaw,Marcella Devoto,Peter White,Struan F.A. Grant,Struan F.A. Grant,Joseph D. Buxbaum,Judith L. Rapoport,Nigel Williams,Stanley F. Nelson,Stephen V. Faraone,Hakon Hakonarson +69 more
TL;DR: A gene network analysis showed that genes interacting with the genes in the GRM family are enriched for CNVs in ∼10% of the cases, and rare recurrent CNVs affecting glutamatergic neurotransmission genes that were overrepresented in multiple ADHD cohorts were identified.
Posted ContentDOI
Analysis of shared heritability in common disorders of the brain
Verneri Anttila,Brendan Bulik-Sullivan,Hilary K. Finucane,Jose Bras,Laramie E. Duncan,Valentina Escott-Price,Guido J. Falcone,Padhraig Gormley,Rainer Malik,Nikolaos A. Patsopoulos,Stephan Ripke,Raymond K. Walters,Zhi Wei,Dongmei Yu,Dongmei Yu,Phil Lee,Phil Lee,Metastroke,Ocd,Gerome Breen,Cynthia M. Bulik,Mark J. Daly,Martin Dichgans,Stephen V. Faraone,Rita Guerreiro,Peter Holmans,Kenneth S. Kendler,Bobby P. C. Koeleman,Carol A. Mathews,Jeremiah M. Scharf,Pamela Sklar,Julie Williams,Nicholas W. Wood,Chris Cotsapas,Chris Cotsapas,Aarno Palotie,Jordan W. Smoller,Patrick F. Sullivan,Jonathan Rosand,Aiden Corvin,Benjamin M. Neale +40 more
TL;DR: This work quantified the genetic sharing of 25 brain disorders based on summary statistics from genome-wide association studies of 215,683 patients and 657,164 controls, and their relationship to 17 phenotypes from 1,191,588 individuals and performed extensive simulations to explore how power, diagnostic misclassification and phenotypic heterogeneity affect genetic correlations.