biostudies-literatureRosa-Baez CSpanish Ministry of UniversityRedes de Investigación Cooperativa Orientadas a Resultados en SaludMCIN/AEI/10.13039/501100011033Miguel ServetInstituto de Salud Carlos IIIFPUSpanish Ministry of Science Innovation and Universities4022-4031https://www.ebi.ac.uk/biostudies/studies/S-EPMC12107044biostudies-literatureUnknown64(6)<h4>Objectives</h4>Coronavirus disease 2019 (COVID-19) and SSc share multiple similarities in their clinical manifestations, alterations in immune response and therapeutic options. These resemblances have also been identified in other immune-mediated inflammatory diseases where a common genetic component has been found. Thus, we decided to evaluate for the first time this shared genetic architecture with SSc.<h4>Methods</h4>For this study, we retrieved genomic data from two European-ancestry cohorts: 2 597 856 individuals from The COVID-19 Host Genetics Initiative consortium, and 26 679 individuals from the largest genomic scan in SSc. We performed a cross-trait meta-analyses including >9.3 million single nucleotide polymorphisms. Finally, we conducted functional annotation to prioritize pRheumatology (Oxford, England)Cross-trait GWAS in COVID-19 and systemic sclerosis reveals novel genes implicated in fibrotic and inflammation pathways.PMC12107044RD21/0002/0039FPU21/02746MICIU/AEI/10.13039/501100011033FPU22/01652CP21/00132PREP2022-000712RYC2022-036635-IRosa-Baez CRodriguez-Martin IMartin JAcosta-Herrera MBorrego-Yaniz GKerick MOrtiz-Fernandez LfalseCross-trait GWAS in COVID-19 and systemic sclerosis reveals novel genes implicated in fibrotic and inflammation pathways.<h4>Objectives</h4>Coronavirus disease 2019 (COVID-19) and SSc share multiple similarities in their clinical manifestations, alterations in immune response and therapeutic options. These resemblances have also been identified in other immune-mediated inflammatory diseases where a common genetic component has been found. Thus, we decided to evaluate for the first time this shared genetic architecture with SSc.<h4>Methods</h4>For this study, we retrieved genomic data from two European-ancestry cohorts: 2 597 856 individuals from The COVID-19 Host Genetics Initiative consortium, and 26 679 individuals from the largest genomic scan in SSc. We performed a cross-trait meta-analyses including >9.3 million single nucleotide polymorphisms. Finally, we conducted functional annotation to prioritize p2025-01-01T00:00:00Z2025 Jun2026-04-26T03:14:27.455Z2026-04-26T03:08:57.636ZS-EPMC121070443987895110.1093/rheumatology/keaf028