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If you use GEM in your analysis, please cite the following article:
- Westerman KE, Pham DT, Hong L, Chen Y, Sevilla-González M, Sung YJ, Sun YV, Morrison AC, Chen H, Manning AK. (2021) GEM: scalable and flexible gene- environment interaction analysis in millions of samples. Bioinformatics 37(20):3514-3520. PubMed PMID: [34695175] (https://pubmed.ncbi.nlm.nih.gov/34695175/). PMCID: PMC8545347. DOI: 10.1093/bioinformatics/btab223.
If you use MAGEE in your analysis, please cite the following article:
- Wang, X., Lim, E., Liu, C. T., Sung, Y. J., Rao, D. C., Morrison, A. C., Boerwinkle, E., Manning, A. K., & Chen, H. (2020). Efficient gene-environment interaction tests for large biobank-scale sequencing studies. Genetic epidemiology, 44(8), 908–923
If you use REGEM or METAGEM in your analysis, please cite the following article:
- Pham, D. T., Westerman, K. E., Pan, C., Chen, L., Srinivasan, S., Isganaitis, E., Vajravelu, M. E., Bacha, F., Chernausek, S., Gubitosi-Klug, R., Divers, J., Pihoker, C., Marcovina, S. M., Manning, A. K., & Chen, H. (2023). Re-analysis and meta-analysis of summary statistics from gene-environment interaction studies. Bioinformatics (Oxford, England), 39(12), btad730.