Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing data.

He, K., Li, X., Kelly, T., Liang, J., Cade, B., Assimes, T., Becker, L., Beitelshees, A., Bress, A., Chang, Y., Chen, Y., de Vries, P., Fox, E., Franceschini, N., Furniss, A., Gao, Y., Guo, X., Haessler, J., Hwang, S., Irvin, M., Kalyani, R., Liu, C., Liu, C., Martin, L., Montasser, M., Muntner, P., Mwasongwe, S., Palmas, W., Reiner, A., Shimbo, D., Smith, J., Snively, B., Yanek, L., Boerwinkle, E., Correa, A., Cupples, L., He, J., Kardia, S., Kooperberg, C., Mathias, R., Mitchell, B., Psaty, B., Vasan, R., Rao, D., Rich, S., Rotter, J., Wilson, J., Chakravarti, A., Morrison, A., Levy, D., Arnett, D., Redline, S., & Zhu, X. (2019). Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing data.. Human genetics, (). PMID:30671673