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Zeller T, Seiffert M, Müller C, et al. Genome-Wide Association Analysis for Severity of Coronary Artery Disease Using the Gensini Scoring System. Front Cardiovasc Med. 2017;4:57doi: 10.3389/fcvm.2017.00057.
Zeller, T., Seiffert, M., Müller, C., Scholz, M., Schäffer, A., Ojeda, F., Drexel, H., Mündlein, A., Kleber, M. E., März, W., Sinning, C., Brunner, F. J., Waldeyer, C., Keller, T., Saely, C. H., Sydow, K., Thiery, J., Teupser, D., Blankenberg, S., & Schnabel, R. (2017). Genome-Wide Association Analysis for Severity of Coronary Artery Disease Using the Gensini Scoring System. Frontiers in cardiovascular medicine, 457. https://doi.org/10.3389/fcvm.2017.00057
Zeller, Tanja, et al. "Genome-Wide Association Analysis for Severity of Coronary Artery Disease Using the Gensini Scoring System." Frontiers in cardiovascular medicine vol. 4 (2017): 57. doi: https://doi.org/10.3389/fcvm.2017.00057
Zeller T, Seiffert M, Müller C, Scholz M, Schäffer A, Ojeda F, Drexel H, Mündlein A, Kleber ME, März W, Sinning C, Brunner FJ, Waldeyer C, Keller T, Saely CH, Sydow K, Thiery J, Teupser D, Blankenberg S, Schnabel R. Genome-Wide Association Analysis for Severity of Coronary Artery Disease Using the Gensini Scoring System. Front Cardiovasc Med. 2017 Sep 20;4:57. doi: 10.3389/fcvm.2017.00057. eCollection 2017. PMID: 28979897; PMCID: PMC5611399.
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