Multi-omic QTL mapping in early developmental tissues reveals phenotypic and temporal complexity of regulatory variants underlying GWAS loci
Timothy D. ArthuriD, Jennifer NguyeniD, Benjamin A. Henson, Agnieszka D’Antonio‐ChronowskaiD, Jeff JaureguyiD, Nayara Silva, Angelo D. Arias, Paola Benaglio, W. Travis Berggren, Victor Borja, Megan Cook, Christopher DeBoeveriD, Kenneth E. Diffenderfer, Margaret K.R. Donovan, KathyJean Farnam, Kyohei FujitaiD, Melvin Garcia, Olivier HarismendyiD, David Jakubosky, Kristen JepseniD, Isaac Joshua, He Li, Hiroko Matsui, Angelina McCarron, Naoki Nariai, , Kelly A. FrazeriD
Abstract
Most GWAS loci are presumed to affect gene regulation, however, only [~]43% colocalize with expression quantitative trait loci (eQTLs). To address this colocalization gap, we identify eQTLs, chromatin accessibility QTLs (caQTLs), and histone acetylation QTLs (haQTLs) using molecular samples from three early developmental (EDev) tissues. Through colocalization, we annotate 586 GWAS loci for 17 traits by QTL complexity, QTL phenotype, and QTL temporal specificity. We show that GWAS loci are highly enriched for colocalization with complex QTL modules that affect multiple elements (genes and/or peaks). We also demonstrate that caQTLs and haQTLs capture regulatory variations not associated with eQTLs and explain [~]49% of the functionally annotated GWAS loci. Additionally, we show that EDev-unique QTLs are strongly depleted for colocalizing with GWAS loci. By conducting one of the largest multi-omic QTL studies to date, we demonstrate that many GWAS loci exhibit phenotypic complexity and therefore, are missed by traditional eQTL analyses.
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