Genetic variation associated with cardiovascular risk in autoimmune diseases

Autoimmune diseases have a higher prevalence of cardiovascular events compared to the general population. The objective of this study was to investigate the genetic basis of cardiovascular disease (CVD) risk in autoimmunity. We analyzed genome-wide genotyping data from 6,485 patients from six autoim...

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Detalles Bibliográficos
Autores: Perrotti, Pedro Pablo, Aterido, Adrià, Fernández Nebro, Antonio, Cañete Crespillo, Juan D., Ferrándiz, Carlos, Tornero, Jesús, Gisbert, Javier P., Domènech, Eugeni, Fernández Gutiérrez, Benjamín, Gomollón García, Fernando, Garcia Planella, Esther, Fernández, Emilia, Sanmartí Sala, Raimon, Gratacós Masmitjà, Jordi, Martínez Taboada, Víctor Manuel, Rodríguez-Rodríguez, Luis, Palau, Núria, Tortosa, Raül, Corbeto, Mireia L., Lasanta, María L., Marsal Barril, Sara, Julià, Antonio, Nolla Solé, Joan Miquel, Montilla, Carlos, Ramírez, Julio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/123286
Acceso en línea:https://hdl.handle.net/2445/123286
Access Level:acceso abierto
Palabra clave:Genètica
Malalties autoimmunitàries
Malalties cardiovasculars
Genetics
Autoimmune diseases
Cardiovascular diseases
Descripción
Sumario:Autoimmune diseases have a higher prevalence of cardiovascular events compared to the general population. The objective of this study was to investigate the genetic basis of cardiovascular disease (CVD) risk in autoimmunity. We analyzed genome-wide genotyping data from 6,485 patients from six autoimmune diseases that are associated with a high socio-economic impact. First, for each disease, we tested the association of established CVD risk loci. Second, we analyzed the association of autoimmune disease susceptibility loci with CVD. Finally, to identify genetic patterns associated with CVD risk, we applied the cross-phenotype meta-analysis approach (CPMA) on the genome-wide data. A total of 17 established CVD risk loci were significantly associated with CVD in the autoimmune patient cohorts. From these, four loci were found to have significantly different genetic effects across autoimmune diseases. Six autoimmune susceptibility loci were also found to be associated with CVD risk. Genome-wide CPMA analysis identified 10 genetic clusters strongly associated with CVD risk across all autoimmune diseases. Two of these clusters are highly enriched in pathways previously associated with autoimmune disease etiology (TNFα and IFNγ cytokine pathways). The results of this study support the presence of specific genetic variation associated with the increase of CVD risk observed in autoimmunity.

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