Familial and Genetic Overlap of Sjögren’s Disease with Autoimmune Disorders

Hitomi Ono-Minagi's 2026 meta-analysis integrates familial risk data and GWAS summary statistics to characterize Sjögren’s disease overlap with other autoimmune conditions. The study includes pooled relative risk calculations from 18 studies, nine of which were used in the final analysis. It demonstrates substantial polygenic sharing, positioning SjD as a bridging disorder within systemic autoimmune diseases.

Use Cases

• Analyze pooled relative risks (RRs) for Sjögren’s disease among first-degree relatives of probands with other autoimmune diseases like systemic lupus erythematosus (SLE).
• Investigate genome-wide polygenic correlation (LDSC) and locus-level overlap (Jaccard index) between SjD and systemic autoimmune diseases using GWAS summary statistics.
• Examine SNP-level pleiotropy signals to distinguish HLA-driven genetic sharing from non-HLA convergence in autoimmune susceptibility.
• Map union-based susceptibility loci to identify immune regulatory hubs shared between SjD and related disorders.

Strengths

• Integrates data from 18 studies on familial aggregation of Sjögren’s disease with other autoimmune conditions.
• Employs a hierarchical genomic framework combining multiple analysis methods (LDSC, Jaccard index, union mapping, pleiotropy detection).
• Published in 2026, providing a recent synthesis of familial and genetic evidence.

Limitations

• Inference is limited by reliance on GWAS summary statistics rather than individual-level genetic data.
• Locus-level overlap analysis is largely driven by the HLA region, with fewer non-HLA signals identified.
• The dataset is a 16.9 KB DOCX file containing textual results and tables, not a large-scale raw data resource.

Provenance

Source

figshare, author Hitomi Ono-Minagi.

Collection Method

Systematic meta-analysis of familial studies and analysis of publicly available GWAS summary statistics.

Time Range

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Freshness

Last updated March 2026.

Geography

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