Greetings, I'm happy to announce support for multiple phenotypes by FaST-LMM's single_snp function. Running with more phenotypes can generate more data, so we've also added new features related to caching and filtering out unneeded output lines. A new notebook<https://nbviewer.jupyter.org/github/fastlmm/FaST-LMM/blob/master/doc/ipynb/f...> demonstrates all the new features. A university user requested these feature and then used them to do a multi-day run with 16,000 phenotypes. That run found a couple areas with promising associations. To install FaST-LMM, start with Miniconda or Anaconda. (If already installed, un-install it with "pip uninstall fastlmm".) Then ... conda install "mkl==2019.4" "scipy" "numpy" pip install --no-build-isolation fastlmm * Carl