Murray-Nerger LA, Gewurz BE. Efficient CRISPR/Cas9 Knock-in Approaches for Manipulation of Endogenous Genes in Human B Lymphoma Cells. Current protocols. 2024;4(11):e70041. doi:10.1002/cpz1.70041
Publications
Braun A, Shekhar S, Levey DF, et al. Genome-wide meta-analysis of myasthenia gravis uncovers new loci and provides insights into polygenic prediction. Nature communications. 2024;15(1):9839. doi:10.1038/s41467-024-53595-6
Ramirez-Diaz AM, Diaz-Zuluaga AM, Stroud RE, et al. Phenotype harmonization and analysis for The Populations Underrepresented in Mental illness Association Studies (the PUMAS Project). medRxiv : the preprint server for health sciences. 2024. doi:10.1101/2024.10.02.24314732
Kisiang’ani IB, Aden M, Mwangi HR, et al. Exploring psychotic symptoms among substance-naïve individuals and recent abstainers without a psychosis diagnosis: A cross-country study across Kenya, Uganda, Ethiopia, and South Africa. Psychiatry research. 2024;342:116253. doi:10.1016/j.psychres.2024.116253
Mostovoy Y, Boone PM, Huang Y, et al. Resolution of ring chromosomes, Robertsonian translocations, and complex structural variants from long-read sequencing and telomere-to-telomere assembly. American journal of human genetics. 2024. doi:10.1016/j.ajhg.2024.10.006
Ye W, Zhang RS, Hosang GM, et al. Association of NTRK2 gene with suicidality: a meta-analysis. Psychiatric genetics. 2024;34(6):124-133. doi:10.1097/YPG.0000000000000373
Montanucci L, Brünger T, Bhattarai N, et al. Ligand distances as key predictors of pathogenicity and function in NMDA receptors. Human molecular genetics. 2024. doi:10.1093/hmg/ddae156
Zhong LY, Xie C, Le Zhang L, et al. Research landmarks on the 60th anniversary of Epstein-Barr virus. Science China. Life sciences. 2024. doi:10.1007/s11427-024-2766-0
Sekar A, Griffin R, Parikh SA, et al. Mosaic chromosomal alterations (mCAs) in individuals with monoclonal B-cell lymphocytosis (MBL). Blood cancer journal. 2024;14(1):193. doi:10.1038/s41408-024-01175-8
Szczerbiński L, Mandla R, Schroeder P, et al. Algorithms for the identification of prevalent diabetes in the All of Us Research Program validated using polygenic scores. Scientific reports. 2024;14(1):26895. doi:10.1038/s41598-024-74730-9