Familial and Genetic Overlap Analysis of Sjögren's Disease

Eighteen studies evaluate familial clustering of Sjögren’s disease with other autoimmune diseases. The meta-analysis calculates pooled relative risks, such as a 10.54 RR when both proband and first-degree relative are affected, and integrates GWAS summary statistics to assess genetic architecture.

Use Cases

• Analyze pooled relative risks (RRs) for Sjögren’s disease across different autoimmune probands, such as the 4.49 RR for systemic lupus erythematosus.
• Investigate genome-wide polygenic correlation (LDSC) results demonstrating substantial genetic sharing between Sjögren’s disease and systemic autoimmune diseases.
• Examine locus-level overlap metrics, like the Jaccard index, to identify shared genetic loci, noting the predominant role of the HLA region.
• Use SNP-level pleiotropy detection analyses to distinguish HLA-dependent from non-HLA genetic signals in autoimmune disease sharing.

Strengths

• Integrates data from 18 studies on familial aggregation of autoimmune diseases.
• Provides specific pooled relative risk figures, such as 10.54 for concordant Sjögren’s disease cases.
• Applies multiple genomic analysis methods: LDSC, Jaccard index, union-based mapping, and pleiotropy detection.

Limitations

• Inference is limited by reliance on GWAS summary statistics rather than individual-level genetic data.
• Locus-based resolution may miss finer-grained causal variant information.
• The 13.9 KB file size indicates the dataset is a textual summary document, not raw genetic or familial data tables.

Provenance

Source

figshare, author Hitomi Ono-Minagi.

Collection Method

Systematic meta-analysis of published 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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