Xianyong Yin, Debraj Bose, Annie Kwon, Sarah C Hanks, Anne U Jackson, Heather M Stringham, Ryan Welch, Anniina Oravilahti, Lilian Fernandes Silva, Adam E Locke, Christian Fuchsberger, Susan K Service, Michael R Erdos, Lori L Bonnycastle, Johanna Kuusisto, Nathan O Stitziel, Ira M Hall, Jean Morrison, Samuli Ripatti, Aarno Palotie, Nelson B Freimer, Francis S Collins, Karen L Mohlke, Laura J Scott, Eric B Fauman, Charles Burant, Michael Boehnke, Markku Laakso, Xiaoquan Wen
Transcriptomics data have been integrated with genome-wide association studies (GWASs) to help understand disease/trait molecular mechanisms. The utility of metabolomics, integrated with transcriptomics and disease GWASs, to understand molecular mechanisms for metabolite levels or diseases has not been thoroughly evaluated. We performed probabilistic transcriptome-wide association and locus-level colocalization analyses to integrate transcriptomics results for 49 tissues in 706 individuals from the GTEx project, metabolomics results for 1,391 plasma metabolites in 6,136 Finnish men from the METSIM study, and GWAS results for 2,861 disease traits in 260,405 Finnish individuals from the FinnGen study...
October 6, 2022: American Journal of Human Genetics