bioRxivGenomicsPreprint
Local genetic effects on gene expression across 44 human tissues
François Aguet, Andrew A. Brown, Stephane E. Castel, Joe R. Davis, Pejman Mohammadi, Ayellet V. Segrè, Zachary Zappala, Nathan S. Abell, Laure Frésard, Eric R. Gamazon, Ellen Gelfand, Michael J. Gloudemans, Yuan He, Farhad Hormozdiari, Xiao Li, Xin Li, Boxiang Liu, Diego Garrido-Martín, Halit Ongen, John J. Palowitch, YoSon Park, Christine B. Peterson, Gerald Quon, Stephan Ripke, Andrey A. Shabalin, , Stephen B. Montgomery
Abstract
Expression quantitative trait locus (eQTL) mapping provides a powerful means to identify functional variants influencing gene expression and disease pathogenesis. We report the identification of cis-eQTLs from 7,051 post-mortem samples representing 44 tissues and 449 individuals as part of the Genotype-Tissue Expression (GTEx) project. We find a cis-eQTL for 88% of all annotated protein-coding genes, with one-third having multiple independent effects. We identify numerous tissue-specific cis-eQTLs, highlighting the unique functional impact of regulatory variation in diverse tissues. By integrating large-scale functional genomics data and state-of-the-art fine-mapping algorithms, we identify multiple features predictive of tissue-specific and shared regulatory effects. We improve estimates of cis-eQTL sharing and effect sizes using allele specific expression across tissues. Finally, we demonstrate the utility of this large compendium of cis-eQTLs for understanding the tissue-specific etiology of complex traits, including coronary artery disease. The GTEx project provides an exceptional resource that has improved our understanding of gene regulation across tissues and the role of regulatory variation in human genetic diseases.
- organism: human
- assay: bulk RNA-seq
- research focus: eQTL / molecular QTL mapping
- approach: statistical model
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