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dc.contributor.authorBorrego-Yaniz, G.
dc.contributor.authorOrtiz-Fernández, L.
dc.contributor.authorMadrid-Paredes, A.
dc.contributor.authorKerick, M.
dc.contributor.authorHernández-Rodríguez, J.
dc.contributor.authorMackie, S. L.
dc.contributor.authorVaglio, A.
dc.contributor.authorCastañeda, S.
dc.contributor.authorSolans, R.
dc.contributor.authorMestre-Torres, J.
dc.contributor.authorKhalidi, N.
dc.contributor.authorLangford, C. A.
dc.contributor.authorYtterberg, S.
dc.contributor.authorBeretta, L.
dc.contributor.authorGovoni, M.
dc.contributor.authorEmmi, G.
dc.contributor.authorCimmino, M. A.
dc.contributor.authorWitte, T.
dc.contributor.authorGonzález-Gay Mantecón, Miguel Ángel 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-10-09T17:42:42Z
dc.date.available2024-10-09T17:42:42Z
dc.date.issued2024-05-08
dc.identifier.issn2665-9913
dc.identifier.urihttps://hdl.handle.net/10902/34197
dc.description.abstractBackground: Giant cell arteritis is an age-related vasculitis that mainly affects the aorta and its branches in individuals aged 50 years and older. Current options for diagnosis and treatment are scarce, highlighting the need to better understand its underlying pathogenesis. Genome-wide association studies (GWAS) have emerged as a powerful tool for unravelling the pathogenic mechanisms involved in complex diseases. We aimed to characterise the genetic basis of giant cell arteritis by performing the largest GWAS of this vasculitis to date and to assess the functional consequences and clinical implications of identified risk loci. Methods: We collected and meta-analysed genomic data from patients with giant cell arteritis and healthy controls of European ancestry from ten cohorts across Europe and North America. Eligible patients required confirmation of giant cell arteritis diagnosis by positive temporal artery biopsy, positive temporal artery doppler ultrasonography, or imaging techniques confirming large-vessel vasculitis. We assessed the functional consequences of loci associated with giant cell arteritis using cell enrichment analysis, fine-mapping, and causal gene prioritisation. We also performed a drug repurposing analysis and developed a polygenic risk score to explore the clinical implications of our findings. Findings: We included a total of 3498 patients with giant cell arteritis and 15 550 controls. We identified three novel loci associated with risk of giant cell arteritis. Two loci, MFGE8 (rs8029053; p=4·96 × 10-8; OR 1·19 [95% CI 1·12-1·26]) and VTN (rs704; p=2·75 × 10-9; OR 0·84 [0·79-0·89]), were related to angiogenesis pathways and the third locus, CCDC25 (rs11782624; p=1·28 × 10-8; OR 1·18 [1·12-1·25]), was related to neutrophil extracellular traps (NETs). We also found an association between this vasculitis and HLA region and PLG. Variants associated with giant cell arteritis seemed to fulfil a specific regulatory role in crucial immune cell types. Furthermore, we identified several drugs that could represent promising candidates for treatment of this disease. The polygenic risk score model was able to identify individuals at increased risk of developing giant cell arteritis (90th percentile OR 2·87 [95% CI 2·15-3·82]; p=1·73 × 10-13). Interpretation: We have found several additional loci associated with giant cell arteritis, highlighting the crucial role of angiogenesis in disease susceptibility. Our study represents a step forward in the translation of genomic findings to clinical practice in giant cell arteritis, proposing new treatments and a method to measure genetic predisposition to this vasculitis. Funding: Institute of Health Carlos III, Spanish Ministry of Science and Innovation, UK Medical Research Council, and National Institute for Health and Care Research.es_ES
dc.description.sponsorshipFunding: Institute of Health Carlos III, Spanish Ministry of Science and Innovation, UK Medical Research Council, and National Institute for Health and Care Research Acknowledgments: We thank Sofía Vargas and Gema Robledo for their excellent technical support, and the participants for their collaboration. This research is part of the doctoral degree awarded to GB-Y within the Biomedicine programme from the University of Granada, entitled ‘Caracterización del mapa genético de la arteritis de células gigantes’ (‘Characterisation of the genetic landscape of giant cell arteritis’). We thank the developers of the R packages ggplot2, ggbreak, and MetBrewer, which were used for plotting the results of this work. This work was supported by the Redes de Investigación Cooperativa Orientadas a Resultados en Salud (RD21/0002/0039) and grant PI18/00040, funded by Instituto de Salud Carlos III. LO-F was supported by a Juan de la Cierva Incorporación fellowship (IJC2019-040746-I), funded by MCIN/AEI/10.13039/501100011033. MI is supported in part by the NIHR Leeds Biomedical Research Centre. This work was supported in part by the MRC “Treatment According to Response in Giant cEll arteritis” (TARGET) Partnership award (grant number, MR/N011775/1), NIHR Leeds Biomedical Research Centre, and a NIHR Senior Investigator award to AWM. The views expressed are those of the authors and not necessarily those of the National Health Service, the NIHR, or the UK Department of Health and Social Care.es_ES
dc.format.extent10 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rights© 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceThe Lancet Rheumatology, 2024, 6(6), e374-e383es_ES
dc.titleRisk loci involved in giant cell arteritis susceptibility: a genome-wide association studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/S2665-9913(24)00064-X
dc.type.versionpublishedVersiones_ES


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© 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Excepto si se señala otra cosa, la licencia del ítem se describe como © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.