Biomedical and Translational Informatics Laboratory

  • Verma, S.S., Keat, K., Li, B. et al. Evaluating the frequency and the impact of pharmacogenetic alleles in an ancestrally diverse Biobank population. J Transl Med 20, 550 (2022). https://doi.org/10.1186/s12967-022-03745-5
  • Verma A, Damrauer SM, Naseer N, Weaver J, Kripke CM, Guare L, Sirugo G, Kember RL, Drivas TG, Dudek SM, et al. The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population. Journal of Personalized Medicine. 2022; 12(12):1974. https://doi.org/10.3390/jpm12121974
  • Wen, J., Cui, Y., Yang, Z., Bao, J., Chen, J., Erus, G., Abdulkadir, A., Mamourian, E., Singh, A., Yang, S., Fan, Y., Saykin, A. J., Thompson, P. M., Jun, G. R., Ritchie, M. D., Shen, L., Wolk, D. A., Shou, H., Nasrallah, I. M., & Davatzikos, C. (2022). Genetic heterogeneity of four MCI/AD neuroanatomical dimensions discovered via deep learning. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association., 18(S6). https://doi.org/10.1002/alz.065223
  • Kanai, M., Elzur, R., Zhou, W., Daly, M. J., Finucane, H. K., Zhou, W., Kanai, M., Wu, K.-H. H., Rasheed, H., Tsuo, K., Hirbo, J. B., Wang, Y., Bhattacharya, A., Zhao, H., Namba, S., Surakka, I., Wolford, B. N., Lo Faro, V., Lopera-Maya, E. A., & Läll, K. (2022). Meta-analysis fine-mapping is often miscalibrated at single-variant resolution. Cell Genomics., 2(12). https://doi.org/10.1016/j.xgen.2022.100210
  • Park, J., MacLean, M. T., Lucas, A. M., Torigian, D. A., Schneider, C. V., Cherlin, T., Xiao, B., Miller, J. E., Bradford, Y., Judy, R. L., Verma, A., Damrauer, S. M., Ritchie, M. D., Witschey, W. R., & Rader, D. J. (2022). Exome-wide association analysis of CT Imaging-derived hepatic fat in a medical biobank. Cell Reports Medicine, 3(12), 100855. https://doi.org/10.1016/j.xcrm.2022.100855
  • Kanoni, S., Graham, S.E., Wang, Y. et al. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis. Genome Biol 23, 268 (2022). https://doi.org/10.1186/s13059-022-02837-1
  • Zhang, C., Verma, A., Feng, Y., Melo, M. C., McQuillan, M., Hansen, M., Lucas, A., Park, J., Ranciaro, A., Thompson, S., Rubel, M. A., Campbell, M. C., Beggs, W., Hirbo, J., Wata Mpoloka, S., George Mokone, G., Nyambo, T., Wolde Meskel, D., Belay, G., … Mitnaul, L. J. (2022). Impact of natural selection on global patterns of genetic variation and association with clinical phenotypes at genes involved in SARS-COV-2 infection. Proceedings of the National Academy of Sciences, 119(21). https://doi.org/10.1073/pnas.2123000119