Related papers: 1. Dahl, A., Thompson, M., An, U., Krebs, M., Appadurai, V., Border, R., Bacanu, S.-A., Werge, T., Flint, J., Schork, A. J., Sankararaman, S., Kendler, K., & Cai, N. (2022). Phenotype integration improves power and preserves specificity in biobank-based genetic studies of MDD. In bioRxiv. doi.org/10.110...
2. Huang, L., Tang, S., Rietkerk, J., Appadurai, V., Krebs, M. D., Schork, A. J., Werge, T., Zuber, V., Kendler, K., & Cai, N. (2023). Polygenic analyses show important differences between MDD symptoms collected using PHQ9 and CIDI-SF. medRxiv : The Preprint Server for Health Sciences. doi.org/10.110...
3. Liley, J., Todd, J. A., & Wallace, C. (2017). A method for identifying genetic heterogeneity within phenotypically defined disease subgroups. Nature Genetics, 49(2), 310-316.
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5. Tang, D., Freudenberg, J., & Dahl, A. (2022). Factorizing polygenic epistasis improves prediction and uncovers biological pathways in complex traits. In bioRxiv. doi.org/10.110...
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