Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria.

MLA

Day, Felix, et al. “Large-Scale Genome-Wide Meta-Analysis of Polycystic Ovary Syndrome Suggests Shared Genetic Architecture for Different Diagnosis Criteria.” PLoS Genetics, vol. 14, no. 12, Dec. 2018, pp. 1–20. EBSCOhost, https://doi.org/10.1371/journal.pgen.1007813.

APA

Day, F., Karaderi, T., Jones, M. R., Meun, C., He, C., Drong, A., Kraft, P., Lin, N., Huang, H., Broer, L., Magi, R., Saxena, R., Laisk, T., Urbanek, M., Hayes, M. G., Thorleifsson, G., Fernandez-Tajes, J., Mahajan, A., Mullin, B. H., & Stuckey, B. G. A. (2018). Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria. PLoS Genetics, 14(12), 1–20. https://doi.org/10.1371/journal.pgen.1007813

Chicago

Day, Felix, Tugce Karaderi, Michelle R. Jones, Cindy Meun, Chunyan He, Alex Drong, Peter Kraft, et al. 2018. “Large-Scale Genome-Wide Meta-Analysis of Polycystic Ovary Syndrome Suggests Shared Genetic Architecture for Different Diagnosis Criteria.” PLoS Genetics 14 (12): 1–20. doi:10.1371/journal.pgen.1007813.