The landscape of expression and alternative splicing variation across human traits

dc.contributor.author
García Pérez, Raquel, 1989-
dc.contributor.author
Ramirez, Jose Miguel
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Ripoll Cladellas, Aida
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Chazarra-Gil, Ruben
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Oliveros, Winona
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Soldatkina, Oleksandra
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Bosio, Mattia
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Rognon, Paul Joris
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Capella Gutiérrez, Salvador Jesús, 1985-
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Calvo, Miquel (Calvo Llorca)
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Reverter Comes, Ferran
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Guigó Serra, Roderic
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Aguet, François
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Ferreira, Pedro G.
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Ardlie, Kristin G.
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Melé Messeguer, Marta, 1982-
dc.date.issued
2023-02-20T07:16:21Z
dc.date.issued
2023-02-20T07:16:21Z
dc.date.issued
2022
dc.identifier
García-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.2022.100244
dc.identifier
2666-979X
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http://hdl.handle.net/10230/55823
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http://dx.doi.org/10.1016/j.xgen.2022.100244
dc.description.abstract
Understanding 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.
dc.description.abstract
This study was funded by the HumTranscriptom project with reference PID2019-107937GA-I00. R.G.-P. was supported by a Juan de la Cierva fellowship (FJC2020-044119-I) funded by MCIN/AEI/10.13039/501100011033 and “European Union NextGenerationEU/PRTR.” J.M.R. was supported by a predoctoral fellowship from “la Caixa” Foundation (ID 100010434) with code LCF/BQ/DR22/11950022. A.R.-C. was supported by a Formación Personal Investigador (FPI) fellowship (PRE2019-090193) funded by MCIN/AEI. R.C.-G. was supported by an FPI fellowship (PRE2020-092510) funded by MCIN/AEI. M.M. was supported by a Ramon y Cajal fellowship (RYC-2017-22249). Figures 4A and S1A and the graphical abstract were created with BioRender.com. We thank the donors and their families for their generous gifts of organ donation for transplantation and tissue donations for the GTEx research project and the GTEx consortium members.
dc.format
application/pdf
dc.format
application/pdf
dc.language
eng
dc.publisher
Elsevier
dc.relation
Cell Genom. 2022 Dec 30;3(1):100244
dc.relation
info:eu-repo/grantAgreement/ES/2PE/PID2019-107937GA-I00
dc.relation
info:eu-repo/grantAgreement/ES/2PE/FJC2020-044119-I
dc.relation
info:eu-repo/grantAgreement/ES/2PE/PRE2019-090193
dc.relation
info:eu-repo/grantAgreement/ES/2PE/PRE2020-092510
dc.relation
info:eu-repo/grantAgreement/ES/2PE/RYC-2017-22249
dc.rights
© 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/).
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
BMI
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Age
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Alternative splicing
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Ancestry
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Diabetes
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Gene expression
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Human traits
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Sex
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Tissue
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Transcriptome
dc.title
The landscape of expression and alternative splicing variation across human traits
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


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