An Effector Index to Predict Causal Genes at GWAS Loci
Vincenzo Forgetta, Lai Jiang, Nicholas A. Vulpescu, Megan S. Hogan, Siyuan Chen, John A. Morris, Stepan Grinek, Christian Benner, Dongkeun Jang, Quy Hoang, Noël P. Burtt, Jason A. Flannick, Mark I. McCarthy, Eric B. Fauman, Celia M.T. Greenwood, , John Brent Richards
The paper introduces the Effector Index, an algorithm to predict causal genes at GWAS loci using genomic features, achieving 85% AUC in type 2 diabetes validation.
Human Genetics · Feb 11, 2022Peer-reviewedBioinformatics