Stephen V. Faraone
Affiliations: | SUNY Upstate Medical University, Syracuse, Syracuse, NY |
Google:
"Stephen Faraone"Mean distance: 18.01 (cluster 11)
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Hess JL, Mattheisen M, Greenwood TA, et al. (2023) A polygenic resilience score moderates the genetic risk for schizophrenia: Replication in 18,090 cases and 28,114 controls from the Psychiatric Genomics Consortium. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics |
Hess JL, Quinn TP, Zhang C, et al. (2023) BrainGENIE: The Brain Gene Expression and Network Imputation Engine. Translational Psychiatry. 13: 98 |
Demontis D, Walters GB, Athanasiadis G, et al. (2023) Genome-wide analyses of ADHD identify 27 risk loci, refine the genetic architecture and implicate several cognitive domains. Nature Genetics |
Mattheisen M, Grove J, Als TD, et al. (2022) Identification of shared and differentiating genetic architecture for autism spectrum disorder, attention-deficit hyperactivity disorder and case subgroups. Nature Genetics |
Hou J, Hess JL, Armstrong N, et al. (2022) Polygenic resilience scores capture protective genetic effects for Alzheimer's disease. Translational Psychiatry. 12: 296 |
Barnett EJ, Biederman J, Doyle AE, et al. (2022) Identifying Pediatric Mood Disorders From Transdiagnostic Polygenic Risk Scores: A Study of Children and Adolescents. The Journal of Clinical Psychiatry. 83 |
Trubetskoy V, Pardiñas AF, Qi T, et al. (2022) Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature |
Singh T, Poterba T, Curtis D, et al. (2022) Rare coding variants in ten genes confer substantial risk for schizophrenia. Nature |
Cramer EY, Ray EL, Lopez VK, et al. (2022) Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences of the United States of America. 119: e2113561119 |
Zhang-James Y, Hess J, Salkin A, et al. (2021) A seq2seq model to forecast the COVID-19 cases, deaths and reproductive R numbers in US counties. Research Square |