ArticleMetabolism open2026
Cross-trait genetic architecture of intracerebral hemorrhage highlights convergent vascular, hematologic and lipid pathways.
Article in Metabolism open, 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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6 authors.
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Abstract
Intracerebral hemorrhage (ICH) is a severe stroke subtype, but the extent to which its susceptibility architecture is shared with other complex traits remains unclear. Here we integrated FinnGen release 12 ICH summary statistics (5112 cases and 450,016 controls) with 898 GWAS datasets curated through BIGA and the GWAS Catalog, and applied a layered analytical framework spanning linkage disequilibrium score regression, cross-trait association testing, locus annotation, Bayesian colocalization, multi-method gene prioritization, and two-sample Mendelian randomization. Among 46 nominal LDSC correlations (P < 0.05), only stroke and one atrial-fibrillation dataset remained significant after both Benjamini-Hochberg false-discovery-rate and Bonferroni correction; the hematologic and fatty-acid/lipid correlations were therefore treated as exploratory. Joint analyses yielded 34 MTAG-positive and 45 CPASSOC-positive trait pairs, whereas locus-level refinement highlighted recurrent regions at 1q22, 2q33, 5p15.33, 13q34, and 15q, with 15 regions showing evidence of colocalization (PP.H4 > 0.7). Integrative prioritization across SMR, FUSION, mBAT-combo, and PoPS nominated 117 candidate genes, including ten genes supported by all four approaches, with
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