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Nature Neuroscience|April 2, 2014
Mutations in the Matrin 3 gene cause familial amyotrophic lateral sclerosisJanel O Johnson, Erik P Pioro, Ashley Boehringer, et al.
Journal of Medicinal Chemistry|March 14, 2017
Discovery of N-((3R,4R)-4-Fluoro-1-(6-((3-methoxy-1-methyl-1H-pyrazol-4-yl)amino)-9-methyl-9H-purin-2-yl)pyrrolidine-3-yl)acrylamide (PF-06747775) through Structure-Based Drug Design: A High Affinity Irreversible Inhibitor Targeting Oncogenic EGFR Mutants with Selectivity over Wild-Type EGFRSimon Planken, Douglas C Behenna, Sajiv K Nair, et al.
Molecular Psychiatry|October 4, 2017
Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependenceD B Hancock, Y Guo, G W Reginsson, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 11, 2015
Polymorphisms of large effect explain the majority of the host genetic contribution to variation of HIV-1 virus loadPaul J McLaren, Cedric Coulonges, István Bartha, et al.
Nature|June 21, 2019
Large-scale chemical-genetics yields new M. tuberculosis inhibitor classesEachan O Johnson, Emily LaVerriere, Emma Office, et al.
Heart Rhythm|January 15, 2014
Common variation in fatty acid metabolic genes and risk of incident sudden cardiac arrestRozenn N Lemaitre, Catherine O Johnson, Stephanie Hesselson, et al.
Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco|July 12, 2019
Genome-Wide Meta-Analyses of FTND and TTFC PhenotypesJingchun Chen, Anu Loukola, Nathan A Gillespie, et al.
Ebiomedicine|August 21, 2016
Genetic Risk Can Be Decreased: Quitting Smoking Decreases and Delays Lung Cancer for Smokers With High and Low CHRNA5 Risk Genotypes - A Meta-AnalysisLi-Shiun Chen, Timothy Baker, Rayjean J Hung, et al.
Genes, Brain, and Behavior|April 24, 2021
Integration of evidence across human and model organism studies: A meeting reportRohan H C Palmer, Emma C Johnson, Hyejung Won, et al.
Molecular Psychiatry|February 27, 2020
Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics ConsortiumRenato Polimanti, Raymond K Walters, Emma C Johnson, et al.
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