📣Online now! 📄Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studies 🧑‍🤝‍🧑 @lcrawford.bsky.social @julian-stamp.bsky.social & co

Looking forward to presenting my work at ISMB 2025! www.biorxiv.org/content/10.1...

Our recent R-package for the Sparse Marginal Epistasis test (smer) is mentioned on a blog post about the Top 40 New CRAN packages! www.r-bloggers.com/2025/02/janu...

Quick post to close out the week - in our newest preprint, @julian-stamp.bsky.social scales the marginal epistasis test to work on biobanks! The key is that using trait-specific information to induce sparsity in the modeled gene-interactions greatly improves both runtime and power

Can we find epistasis in human traits? To help, in our preprint, we present the most scalable and powerful framework for detecting epistasis to date: the “sparse marginal epistasis test” (SME). Thank you @lcrawford.bsky.social, @sampatsmith.bsky.social, Dan Weinreich! doi.org/10.1101/2025... 1/6

I know I’m not supposed to judge a book by it’s cover but this is so beautiful, Daniel Weinreich! Love Ernst Haeckel‘s drawings.

Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studies https://www.biorxiv.org/content/10.1101/2025.01.11.632557v1

Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studies https://www.biorxiv.org/content/10.1101/2025.01.11.632557v1