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
Publications
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
Hie BL, Kim S, Rando TA, Bryson B, Berger B. Scanorama: integrating large and diverse single-cell transcriptomic datasets. Nature protocols. 2024. doi:10.1038/s41596-024-00991-3
Kilgallon LJ, McFadden TP, Sigman MS, Johnson JA. Tricyclononenes and tricyclononadienes as efficient monomers for controlled ROMP: understanding structure-propagation rate relationships and enabling facile post-polymerization modification. Chemical science. 2024;15(22):8334-8345. doi:10.1039/d4sc01986e
Osmani Z, Beudeker BJB, Groothuismink ZMA, et al. B cell activation gene signature in blood and liver of HBeAg+ immune active chronic hepatitis B patients. The Journal of infectious diseases. 2024. doi:10.1093/infdis/jiae280
Sadikova E, Widome R, Robinson E, Aris IM, Tiemeier H. Delaying high school start times impacts depressed mood among students: evidence from a natural experiment. Social psychiatry and psychiatric epidemiology. 2024. doi:10.1007/s00127-024-02694-2
Williams CG, Moreira ML, Asatsuma T, et al. Plasmodium infection induces phenotypic, clonal, and spatial diversity among differentiating CD4 TÂ cells. Cell reports. 2024;43(6):114317. doi:10.1016/j.celrep.2024.114317
Möller B, Becker LL, Saffari A, et al. The expanding clinical and genetic spectrum of DYNC1H1-related disorders. Brain : a journal of neurology. 2024. doi:10.1093/brain/awae183
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