| MAGEE-package {MAGEE} | R Documentation |
Mixed Model Association Test for GEne-Environment Interaction
Description
An R package for performing generalized linear mixed model-based single-variant and variant set main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.
Details
| Package: | MAGEE |
| Type: | Package |
| Version: | 1.4.1 |
| Date: | 2024-04-28 |
| License: | GPL (>= 3) |
Author(s)
Xinyu Wang, Han Chen, Duy T. Pham
Maintainer: Han Chen <Han.Chen.2@uth.tmc.edu>
References
Wang, X., Lim, E., Liu, C, Sung, Y.J., Rao, D.C., Morrison, A.C., Boerwinkle, E., Manning, A. K., and Chen, H. (2020) Efficient gene-environment interaction tests for large biobank-scale sequencing studies. Genetic Epidemiology, 44(8): 908-923.
Chen, H., Huffman, J.E., Brody, J.A., Wang, C., Lee, S., Li, Z., Gogarten, S.M., Sofer, T., Bielak, L.F., Bis, J.C., et al. (2019) Efficient variant set mixed model association tests for continuous and binary traits in large-scale whole-genome sequencing studies. The American Journal of Human Genetics, 104 (2): 260-274.
Wang, X., Pham, D.T., Westerman, K.E., Pan, C., Manning, A.K., Chen, H., (2022) Genomic summary statistics and meta-analysis for set-based gene-environment interaction tests in large-scale sequencing studies. medrxiv.