ArticlePloS one2026
Local genetic correlations between systemic sclerosis and common cancer types.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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5 authors.
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Abstract
introductionThe incidence of cancer, encompassing all major types, is significantly higher among patients with systemic sclerosis (SSc) compared to the general population. While previous studies have assessed the global genetic relationships between SSc and various cancers and found no evidence of causality or pleiotropy, these methods average effects across the genome and thus ignore potential opposing directional effects at different loci, thereby missing locus-specific associations. To address this gap, we assessed fine-scaled genetic overlap between SSc and commonly associated cancers, namely breast and lung cancers, as well as hematologic malignancies, by applying local genetic correlation analyses.
methodsWe assessed the genetic relationship between SSc and cancers that frequently co-occur with SSc: breast cancer and its' four main molecular subtypes: HER2-enriched-like, luminal A and B-like, and triple-negative breast cancers, as well as lung cancer, lymphocytic leukemia, and non-Hodgkin's lymphoma. Published genome-wide association study statistics were obtained from the GWAS catalog and The Breast Cancer Association Consortium, and data were standardized, quality control filtered, and preprocessed. Global and local genetic correlations were evaluated using linkage disequilibrium score regression and Local Analysis of [co]Variant Annotation software. Gene-based cross-trait meta-analysis, colocalization and fine-mapping approaches were used to assess evidence of pleiotropy across regions identified by local genetic correlation analyses. We implemented visualization of the local genetic correlations and functional enrichment analyses of pleiotropic genes from these local correlations.
resultsWe did not detect any significant global genetic correlation between SSc and the analyzed cancer subtypes. However, we identified 23 significant local bivariate correlations; 21 were with different molecular subtypes of breast cancer. However, only the locus shared between SSc and lung cancer showed strong evidence of pleiotropy. Genes within loci shared with lung cancer were involved in cell communication and signaling, extracellular matrix remodelling and skin morphogenesis.
conclusionsWe report a pleiotropic locus between SSc and lung cancer, illuminating potential pathobiological mechanisms and providing gene candidates for future research.
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