Lee, S., Hecker, J., Vardarajan, B. N., Kelly, R. S., Prince, N., Mullin, K., Lutz, S. M., Hahn, G., Lasky‐Su, J., Mayeux, R. P., Tanzi, R. E., Lange, C., & Prokopenko, D. (2025). Uncovering Ethnicity‐Specific Recessive Loci for Alzheimer’s Disease in 89 Dominican Families Using Family‐Based WGS Analysis. Genetic Epidemiology, 49(5). Portico. https://doi.org/10.1002/gepi.70014

Schooling, C. M., & Terry, M. B. (2024). Interpreting disease genome‐wide association studies and polygenetic risk scores given eligibility and study design considerations. Genetic Epidemiology. Portico. https://doi.org/10.1002/gepi.22567

Hopper, J. L., Li, S., MacInnis, R. J., Dowty, J. G., Nguyen, T. L., Bui, M., Dite, G. S., Esser, V. F. C., Ye, Z., Makalic, E., Schmidt, D. F., Goudey, B., Alpen, K., Kapuscinski, M., Win, A. K., Dugué, P., Milne, R. L., Jayasekara, H., Brooks, J. D., … Jenkins, M. A. (2024). Breast and bowel cancers diagnosed in people ‘too young to have cancer’: A blueprint for research using family and twin studies. Genetic Epidemiology. Portico. https://doi.org/10.1002/gepi.22555

Yang, Y., Basu, S., & Zhang, L. (2021). A Bayesian hierarchically structured prior for gene‐based association testing with multiple traits in genome‐wide association studies. Genetic Epidemiology, 46(1), 63–72. Portico. https://doi.org/10.1002/gepi.22437