ArticleThe Journal of clinical investigation2026
Tissue-specific clustering of genetic correlations across autoimmune diseases in a nationwide sibling study.
Article in The Journal of clinical investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- All in the family: a population-scale perspective on genetic networks of autoimmune disease.The Journal of clinical investigation · 2026Article
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9 authors.
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Abstract
BACKGROUNDAutoimmune diseases (ADs) often co-occur within individuals and families, indicating shared genetic risk factors. However, the composition of genetic overlap across autoimmunity is largely unknown.METHODSThis nationwide study included 6,336,615 individuals born in Sweden between 1932 and 1983, comprising 3,839,400 full sibling pairs. Based on national health registers, 22 ADs were identified from 1969 to 2013. Aggregation and coaggregation of ADs among siblings was used to estimate pairwise genetic correlations of ADs under a liability-threshold model. Network analysis and principal component analysis were used to characterize the structure of shared genetic risk across ADs.RESULTSA total of 707,995 individuals (11.2%) were diagnosed with at least 1 AD. The studied ADs formed a network of significant genetic correlations (mean rg = 0.24, range 0.08-0.84) with clusters of more closely related ADs (rg ≥ 0.3). We found no evidence of a significant universal factor predisposing to autoimmunity.CONCLUSIONThis study demonstrates that ADs share substantial cluster-specific genetic overlap that largely aligns with affected tissue types, leading to distinct groupings of connective tissue diseases, gastrointestinal disorders, and endocrinopathies, whereas diseases of the nervous system show limited genetic cohesion. This suggests that shared biological mechanisms may drive coaggregation within disease groups. Clinically, these insights highlight the importance of monitoring patients and their relatives for related autoimmune disorders.FUNDINGThe Swedish Society of Medicine, Region Värmland's County Research Council, The Swedish Research Council, The Knut and Alice Wallenberg Foundation, Regional Agreement on Medical Training and Clinical Research (ALF) between Stockholm County Council and Karolinska Institutet.
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