Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing data.
Document Type
Journal Article
Publication Date
1-22-2019
Journal
Human genetics
DOI
10.1007/s00439-019-01975-0
APA Citation
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, (). http://dx.doi.org/10.1007/s00439-019-01975-0
Peer Reviewed
1
Comments
Epub ahead of print