Tomasi J, Lisoway AJ, Zai CC, et al. Genetic and polygenic investigation of heart rate variability to identify biomarkers associated with Anxiety disorders. Psychiatry research. 2024;338:115982. doi:10.1016/j.psychres.2024.115982
Publications
Schüller SS, Barman S, Méndez-Giráldez R, et al. Immune profiling of age and adjuvant-specific activation of human blood mononuclear cells in vitro. Communications biology. 2024;7(1):709. doi:10.1038/s42003-024-06390-4
Mo CC, Richardson E, Calabretta E, et al. Endothelial injury and dysfunction with emerging immunotherapies in multiple myeloma, the impact of COVID-19, and endothelial protection with a focus on the evolving role of defibrotide. Blood reviews. 2024:101218. doi:10.1016/j.blre.2024.101218
Tomasi J, Lisoway AJ, Zai CC, et al. Genetic and polygenic investigation of heart rate variability to identify biomarkers associated with Anxiety disorders. Psychiatry research. 2024;338:115982. doi:10.1016/j.psychres.2024.115982
Tomasi J, Lisoway AJ, Zai CC, et al. Genetic and polygenic investigation of heart rate variability to identify biomarkers associated with Anxiety disorders. Psychiatry research. 2024;338:115982. doi:10.1016/j.psychres.2024.115982
Carlsson J, Luttens A. Structure-based virtual screening of vast chemical space as a starting point for drug discovery. Current opinion in structural biology. 2024;87:102829. doi:10.1016/j.sbi.2024.102829
Misek SA, Fultineer A, Kalfon J, et al. Germline variation contributes to false negatives in CRISPR-based experiments with varying burden across ancestries. Nature communications. 2024;15(1):4892. doi:10.1038/s41467-024-48957-z
Kim B, Kim DS, Shin JG, et al. Mapping and annotating genomic loci to prioritize genes and implicate distinct polygenic adaptations for skin color. Nature communications. 2024;15(1):4874. doi:10.1038/s41467-024-49031-4
Urbut SM, Yeung MW, Khurshid S, et al. MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease. Nature communications. 2024;15(1):4884. doi:10.1038/s41467-024-49296-9
Rodriguez A, Kim Y, Nandi TN, et al. Accelerating Genome- and Phenome-Wide Association Studies using GPUs - A case study using data from the Million Veteran Program. bioRxiv : the preprint server for biology. 2024. doi:10.1101/2024.05.17.594583