2026-08-05T15:04:40Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/173362024-09-21T21:40:26Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16927col_20.500.12105_16961col_20.500.12105_16969col_20.500.12105_16980col_20.500.12105_16987
Repisalud
author
Perrotti, Pedro P
author
Aterido, Adrià
author
Fernández-Nebro, Antonio
author
Cañete, Juan D
author
Ferrándiz, Carlos
author
Tornero, Jesús
author
Gisbert, Javier P
author
Domènech, Eugeni
author
Fernández-Gutiérrez, Benjamín
author
Gomollón, Fernando
author
García-Planella, Esther
author
Fernández, Emilia
author
Sanmartí, Raimon
author
Gratacós, Jordi
author
Martínez-Taboada, Víctor Manuel
author
Rodríguez-Rodríguez, Luís
author
Palau, Núria
author
Tortosa, Raül
author
Corbeto, Mireia L
author
Lasanta, María L
author
Marsal, Sara
author
Julià, Antonio
author
IMID Consortium
2024-01-23T20:13:09Z
2024-01-23T20:13:09Z
2017-10-05
10.1371/journal.pone.0185889
1932-6203
PloS one
http://hdl.handle.net/10668/11650
28982122
http://hdl.handle.net/20.500.12105/17336
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.
eng
Genetic variation associated with cardiovascular risk in autoimmune diseases.
research article