Xiao Q, Mears J, Nathan A, et al. Immunosuppression causes dynamic changes in expression QTLs in psoriatic skin. Nature communications. 2023;14(1):6268. doi:10.1038/s41467-023-41984-2
Publications
Barner LAE, Gao G, Reddi DM, et al. AI-Triaged 3D Pathology to Improve Detection of Esophageal Neoplasia While Reducing Pathologist Workloads. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc. 2023;36(12):100322. doi:10.1016/j.modpat.2023.100322
Mekbib KY, Muñoz W, Allington G, et al. Human genetics and molecular genomics of Chiari malformation type 1. Trends in molecular medicine. 2023. doi:10.1016/j.molmed.2023.08.013
Wang Y, Selvaraj MS, Li X, et al. Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study. American journal of human genetics. 2023;110(10):1704-1717. doi:10.1016/j.ajhg.2023.09.003
Shi X, Lu C, Corman A, et al. Heterozygous deletion of the autism-associated gene CHD8 impairs synaptic function through widespread changes in gene expression and chromatin compaction. American journal of human genetics. 2023;110(10):1750-1768. doi:10.1016/j.ajhg.2023.09.004
Ausejo-Mauleon I, Labiano S, de la Nava D, et al. TIM-3 blockade in diffuse intrinsic pontine glioma models promotes tumor regression and antitumor immune memory. Cancer cell. 2023. doi:10.1016/j.ccell.2023.09.001
Zhao B, Nguyen MA, Woo S, Kim J, Yu TW, Lee EA. Contribution and therapeutic implications of retroelement insertions in ataxia telangiectasia. American journal of human genetics. 2023. doi:10.1016/j.ajhg.2023.09.008
Trovão NS, Pan V, Goel C, et al. Evolutionary and spatiotemporal analyses reveal multiple introductions and cryptic transmission of SARS-CoV-2 VOC/VOI in Malta. Microbiology spectrum. 2023:e0153923. doi:10.1128/spectrum.01539-23
Gao J, Karp JM, Langer R, Joshi N. The Future of Drug Delivery. Chemistry of materials : a publication of the American Chemical Society. 2023;35(2):359-363. doi:10.1021/acs.chemmater.2c03003
Khurshid S, Churchill TW, Diamant N, et al. Deep learned representations of the resting 12-lead electrocardiogram to predict V̇O2 at peak exercise. European journal of preventive cardiology. 2023. doi:10.1093/eurjpc/zwad321