Identification of putative effector genes across the GWAS Catalog using molecular quantitative trait loci from 68 tissues and cell types
Cong Guo, Karsten B. Sieber, Jorge Esparza-Gordillo, Mark R. Hurle, Kijoung S Song, Astrid J.M. Yeo, Laura M. Yerges-Armstrong, Toby Johnson, Matthew R. Nelson
The paper introduces PICCOLO, a method to identify colocalized genes between GWAS and xQTLs, finding 30% of associations have at least one colocalized gene-xQTL.
bioRxiv · Oct 17, 2019 · PreprintGenetics