García Pérez, Raquel, 1989-Ramirez, Jose MiguelRipoll Cladellas, AidaChazarra-Gil, RubenOliveros, WinonaSoldatkina, OleksandraBosio, MattiaRognon, Paul JorisCapella Gutiérrez, Salvador Jesús, 1985-Calvo, Miquel (Calvo Llorca)Reverter, FerranGuigó Serra, RodericAguet, FrançoisFerreira, Pedro G.Ardlie, Kristin G.Melé Messeguer, Marta, 1982-2023-02-202023-02-202022García-Pérez R, Ramirez JM, Ripoll-Cladellas A, Chazarra-Gil R, Oliveros W, Soldatkina O, Bosio M, Rognon PJ, Capella-Gutierrez S, Calvo M, Reverter F, Guigó R, Aguet F, Ferreira PG, Ardlie KG, Melé M. The landscape of expression and alternative splicing variation across human traits. Cell Genom. 2022 Dec 30;3(1):100244. DOI: 10.1016/j.xgen.2022.1002442666-979Xhttp://hdl.handle.net/10230/55823Understanding the consequences of individual transcriptome variation is fundamental to deciphering human biology and disease. We implement a statistical framework to quantify the contributions of 21 individual traits as drivers of gene expression and alternative splicing variation across 46 human tissues and 781 individuals from the Genotype-Tissue Expression project. We demonstrate that ancestry, sex, age, and BMI make additive and tissue-specific contributions to expression variability, whereas interactions are rare. Variation in splicing is dominated by ancestry and is under genetic control in most tissues, with ribosomal proteins showing a strong enrichment of tissue-shared splicing events. Our analyses reveal a systemic contribution of types 1 and 2 diabetes to tissue transcriptome variation with the strongest signal in the nerve, where histopathology image analysis identifies novel genes related to diabetic neuropathy. Our multi-tissue and multi-trait approach provides an extensive characterization of the main drivers of human transcriptome variation in health and disease.application/pdfeng© 2022 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).The landscape of expression and alternative splicing variation across human traitsinfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.xgen.2022.100244BMIAgeAlternative splicingAncestryDiabetesGene expressionHuman traitsSexTissueTranscriptomeinfo:eu-repo/semantics/openAccess