A cross-disease meta-GWAS identifies four new susceptibility loci shared between systemic sclerosis and Crohn's disease.
David González-SernaEguzkine OchoaElena López-IsacAntonio JuliàFrauke DegenhardtNorberto Ortego-CentenoTimothy R D J RadstakeAndre FrankeSara MarsalMaureen D MayesJavier MartínAna Márqueznull nullPublished in: Scientific reports (2020)
Genome-wide association studies (GWASs) have identified a number of genetic risk loci associated with systemic sclerosis (SSc) and Crohn's disease (CD), some of which confer susceptibility to both diseases. In order to identify new risk loci shared between these two immune-mediated disorders, we performed a cross-disease meta-analysis including GWAS data from 5,734 SSc patients, 4,588 CD patients and 14,568 controls of European origin. We identified 4 new loci shared between SSc and CD, IL12RB2, IRF1/SLC22A5, STAT3 and an intergenic locus at 6p21.31. Pleiotropic variants within these loci showed opposite allelic effects in the two analysed diseases and all of them showed a significant effect on gene expression. In addition, an enrichment in the IL-12 family and type I interferon signaling pathways was observed among the set of SSc-CD common genetic risk loci. In conclusion, through the first cross-disease meta-analysis of SSc and CD, we identified genetic variants with pleiotropic effects on two clinically distinct immune-mediated disorders. The fact that all these pleiotropic SNPs have opposite allelic effects in SSc and CD reveals the complexity of the molecular mechanisms by which polymorphisms affect diseases.
Keyphrases
- genome wide
- genome wide association
- systemic sclerosis
- genome wide association study
- gene expression
- interstitial lung disease
- dna methylation
- end stage renal disease
- systematic review
- newly diagnosed
- ejection fraction
- nk cells
- copy number
- peritoneal dialysis
- prognostic factors
- signaling pathway
- dendritic cells
- randomized controlled trial
- cell proliferation
- patient reported outcomes
- oxidative stress
- big data
- case control
- endoplasmic reticulum stress