Integrating Mouse and Human Genetic Data to Move beyond GWAS and Identify Causal Genes in Cholesterol Metabolism.

MLA

Li, Zhonggang, et al. “Integrating Mouse and Human Genetic Data to Move beyond GWAS and Identify Causal Genes in Cholesterol Metabolism.” Cell Metabolism, vol. 31, no. 4, Apr. 2020, p. 741. EBSCOhost, https://doi.org/10.1016/j.cmet.2020.02.015.

APA

Li, Z., Votava, J. A., Zajac, G. J. M., Nguyen, J. N., Leyva Jaimes, F. B., Ly, S. M., Brinkman, J. A., De Giorgi, M., Kaul, S., Green, C. L., St Clair, S. L., Belisle, S. L., Rios, J. M., Nelson, D. W., Sorci-Thomas, M. G., Lagor, W. R., Lamming, D. W., Eric Yen, C.-L., & Parks, B. W. (2020). Integrating Mouse and Human Genetic Data to Move beyond GWAS and Identify Causal Genes in Cholesterol Metabolism. Cell Metabolism, 31(4), 741. https://doi.org/10.1016/j.cmet.2020.02.015

Chicago

Li, Zhonggang, James A Votava, Gregory J M Zajac, Jenny N Nguyen, Fernanda B Leyva Jaimes, Sophia M Ly, Jacqueline A Brinkman, et al. 2020. “Integrating Mouse and Human Genetic Data to Move beyond GWAS and Identify Causal Genes in Cholesterol Metabolism.” Cell Metabolism 31 (4): 741. doi:10.1016/j.cmet.2020.02.015.