Strayer N, Vessels T, Choi K, et al. Interoperability of phenome-wide multimorbidity patterns: a comparative study of two large-scale EHR systems. medRxiv : the preprint server for health sciences. 2024. doi:10.1101/2024.03.28.24305045PubMedDOIGoogle Scholar
Publications
Tse MW, Zhu M, Peters B, et al. Massively parallel combination screen reveals small molecule sensitization of antibiotic-resistant Gram-negative ESKAPE pathogens. bioRxiv : the preprint server for biology. 2024. doi:10.1101/2024.03.26.586803PubMedDOIGoogle Scholar
Silverstein S, Orbach R, Syeda S, et al. Differential inclusion of exons 143 and 144 provides insight into -related myopathy variant interpretation and disease manifestation. medRxiv : the preprint server for health sciences. 2024. doi:10.1101/2024.03.25.24304535PubMedDOIGoogle Scholar
Foley R, Bolduc V, Guirguis F, et al. The recurrent deep intronic pseudoexon-inducing variant c.930+189C>T results in a consistently severe phenotype of COL6-related dystrophy: Towards clinical trial readiness for splice-modulating therapy. medRxiv : the preprint server for health sciences. 2024. doi:10.1101/2024.03.29.24304673PubMedDOIGoogle Scholar
Jayne L, Lavin-Peter A, Roessler J, et al. A torpor-like state (TLS) in mice slows blood epigenetic aging and prolongs healthspan. bioRxiv : the preprint server for biology. 2024. doi:10.1101/2024.03.20.585828PubMedDOIGoogle Scholar
Clauwaert J, McVey Z, Gupta R, Yannuzzi I, Menschaert G, Prensner JR. Deep learning to decode sites of RNA translation in normal and cancerous tissues. bioRxiv : the preprint server for biology. 2024. doi:10.1101/2024.03.21.586110PubMedDOIGoogle Scholar
Marin MG, Wippel C, Quinones-Olvera N, et al. Analysis of the limited accessory genome reveals potential pitfalls of pan-genome analysis approaches. bioRxiv : the preprint server for biology. 2024. doi:10.1101/2024.03.21.586149PubMedDOIGoogle Scholar
Antonio-Villa NE, Bello-Chavolla OY, Fermín-Martínez CA, et al. Diabetes subgroups and sociodemographic inequalities in Mexico: a cross-sectional analysis of nationally representative surveys from 2016 to 2022. Lancet regional health. Americas. 2024;33:100732. doi:10.1016/j.lana.2024.100732PubMedDOIGoogle Scholar
Fabritz L, Chua W, Cardoso VR, et al. Blood-based cardiometabolic phenotypes in atrial fibrillation and their associated risk: EAST-AFNET 4 biomolecule study. Cardiovascular research. 2024. doi:10.1093/cvr/cvae067PubMedDOIGoogle Scholar
Raab-Traub N, Gewurz BE. Elliott Dan Kieff, MD, PhD (1943-2024). Cell. 2024;187(8):1819-1821. doi:10.1016/j.cell.2024.02.038PubMedDOIGoogle Scholar