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dc.contributor.authorCoral, D.E.*
dc.contributor.authorFernández Tajes, Juan*
dc.contributor.authorTsereteli, N.*
dc.contributor.authorPomares-Millan, H.*
dc.contributor.authorFitipaldi, H.*
dc.contributor.authorMutie, P.M.*
dc.contributor.authorAtabaki-Pasdar, N.*
dc.contributor.authorKalamajski, S.*
dc.contributor.authorPoveda, A.*
dc.contributor.authorMiller-Fleming, T.W.*
dc.contributor.authorZhong, X.*
dc.contributor.authorGiordano, G.N.*
dc.contributor.authorPearson, E.R.*
dc.contributor.authorCox, N.J.*
dc.contributor.authorFranks, P.W.*
dc.date.accessioned2025-09-05T08:21:26Z
dc.date.available2025-09-05T08:21:26Z
dc.date.issued2023
dc.identifier.citationCoral DE, Fernandez-Tajes J, Tsereteli N, Pomares-Millan H, Fitipaldi H, Mutie PM, et al. A phenome-wide comparative analysis of genetic discordance between obesity and type 2 diabetes. Nature Metabolism. 2023;5(2):237-47.
dc.identifier.issn2522-5812
dc.identifier.otherhttps://portalcientifico.sergas.gal//documentos/63e7d77437a0683d533f67ea
dc.identifier.urihttp://hdl.handle.net/20.500.11940/20997
dc.description.abstractObesity and type 2 diabetes are causally related, yet there is considerable heterogeneity in the consequences of both conditions and the mechanisms of action are poorly defined. Here we show a genetic-driven approach defining two obesity profiles that convey highly concordant and discordant diabetogenic effects. We annotate and then compare association signals for these profiles across clinical and molecular phenotypic layers. Key differences are identified in a wide range of traits, including cardiovascular mortality, fat distribution, liver metabolism, blood pressure, specific lipid fractions and blood levels of proteins involved in extracellular matrix remodelling. We find marginal differences in abundance of Bacteroidetes and Firmicutes bacteria in the gut. Instrumental analyses reveal prominent causal roles for waist-to-hip ratio, blood pressure and cholesterol content of high-density lipoprotein particles in the development of diabetes in obesity. We prioritize 17 genes from the discordant signature that convey protection against type 2 diabetes in obesity, which may represent logical targets for precision medicine approaches.
dc.description.sponsorshipOpen access funding provided by Lund University.
dc.languageeng
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshHumans *
dc.subject.meshDiabetes Mellitus, Type 2 *
dc.subject.meshObesity *
dc.subject.meshPhenotype *
dc.subject.meshCholesterol *
dc.titleA phenome-wide comparative analysis of genetic discordance between obesity and type 2 diabetes
dc.typeArtigo
dc.authorsophosCoral, D.E.; Fernandez-Tajes, J.; Tsereteli, N.; Pomares-Millan, H.; Fitipaldi, H.; Mutie, P.M.; Atabaki-Pasdar, N.; Kalamajski, S.; Poveda, A.; Miller-Fleming, T.W.; Zhong, X.; Giordano, G.N.; Pearson, E.R.; Cox, N.J.; Franks, P.W.
dc.identifier.doi10.1038/s42255-022-00731-5
dc.identifier.sophos63e7d77437a0683d533f67ea
dc.issue.number2
dc.journal.titleNature Metabolism*
dc.organizationServizo Galego de Saúde::Áreas Sanitarias (A.S.) - Instituto de Investigación Biomédica de A Coruña (INIBIC)::Unidade de investigación
dc.page.initial237
dc.page.final247
dc.relation.projectIDLund University
dc.relation.projectIDWellcome Trust [102820/Z/13/Z] Funding Source: researchfish
dc.relation.publisherversionhttps://doi.org/10.1038/s42255-022-00731-5
dc.rights.accessRightsopenAccess*
dc.subject.keywordAS A Coruña
dc.subject.keywordINIBIC
dc.typefidesArtículo Científico (incluye Original, Original breve, Revisión Sistemática y Meta-análisis)
dc.typesophosArtículo Original
dc.volume.number5


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Attribution 4.0 International (CC BY 4.0)
A non ser que se indique outra cousa, a licenza do ítem descríbese comoAttribution 4.0 International (CC BY 4.0)