Abstract 16606: Utilization of the Genome Aggregation Database, In Silico Tools, and Heterologous Expression Patch Clamp Studies to Identify and Demote Previously Published Type 2 Long QT Syndrome-Causative Variants From Pathogenic to Likely Benign.

MLA

Mattivi, Connor L., et al. “Abstract 16606: Utilization of the Genome Aggregation Database, In Silico Tools, and Heterologous Expression Patch Clamp Studies to Identify and Demote Previously Published Type 2 Long QT Syndrome-Causative Variants From Pathogenic to Likely Benign.” Circulation, vol. 138, Nov. 2018, p. A16606. EBSCOhost, https://doi.org/10.1161/circ.138.suppl_1.16606.

APA

Mattivi, C. L., Ye, D., Tester, D. J., Clemens, D. J., Zhou, W., Giudicessi, J. R., & Ackerman, M. J. (2018). Abstract 16606: Utilization of the Genome Aggregation Database, In Silico Tools, and Heterologous Expression Patch Clamp Studies to Identify and Demote Previously Published Type 2 Long QT Syndrome-Causative Variants From Pathogenic to Likely Benign. Circulation, 138, A16606. https://doi.org/10.1161/circ.138.suppl_1.16606

Chicago

Mattivi, Connor L, Dan Ye, David J Tester, Daniel J Clemens, Wei Zhou, John R Giudicessi, and Michael J Ackerman. 2018. “Abstract 16606: Utilization of the Genome Aggregation Database, In Silico Tools, and Heterologous Expression Patch Clamp Studies to Identify and Demote Previously Published Type 2 Long QT Syndrome-Causative Variants From Pathogenic to Likely Benign.” Circulation 138 (November): A16606. doi:10.1161/circ.138.suppl_1.16606.