Greetings, I'm happy to announce a new version of FaST-LMM with new features for epistasis. Recall that FaST-LMM allows you to test for epistatic interactions between pairs of SNPs. New: * The output now includes β, the linear coefficient of the epistatic interaction, and its variance. Specifically, the epistatic interaction is the product of standardized and is a fixed effect. Thanks to Ava Khamseh of the University of University of Edinburgh for her derivation of the formula for the variance<https://github.com/fastlmm/FaST-LMM/raw/epibeta/doc/notes/FaST_LMM_variance....> and for requesting this feature. Thanks to FaST-LMM team members Christian Widmer and David Heckerman for their work on this feature. * User-supplied eigenvalue decomposition for epistasis - If you know the eigenvalue decomposition of realized relationship matrix (RRM), the epistasis function can use that information to run much faster. For examples of the new features see: fastlmm2021.ipynb#epistasis<https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/f...> To install the new version: * pip uninstall fastlmm · conda install "mkl==2019.4" "scipy" "numpy" · pip install --no-build-isolation fastlmm Yours, Carl Carl Kadie, Ph.D. FaST-LMM & PySnpTools Team<https://fastlmm.github.io/> (Microsoft Research, retired) https://www.linkedin.com/in/carlk/ Join the FaST-LMM user discussion and announcement list via email<mailto:fastlmm-user-join@python.org?subject=Subscribe> (or use web sign up<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmail.python.org%2Fmailman3%2Flists%2Ffastlmm-user.python.org&data=02%7C01%7C%7C13a5c33d7cd84cad5cdf08d7bba56e20%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637184191498409587&sdata=2CQWjQEwOpQol2rQ1eoyVTgY8WvInV8UH31Wtl68FzY%3D&reserved=0>)