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Multi-ancestry meta-analysis of keloids uncovers novel susceptibility loci in diverse populations
Multi-ancestry meta-analysis of keloids uncovers novel susceptibility loci in diverse populations
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Multi-ancestry meta-analysis of keloids uncovers novel susceptibility loci in diverse populations
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Multi-ancestry meta-analysis of keloids uncovers novel susceptibility loci in diverse populations
Multi-ancestry meta-analysis of keloids uncovers novel susceptibility loci in diverse populations

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Multi-ancestry meta-analysis of keloids uncovers novel susceptibility loci in diverse populations
Multi-ancestry meta-analysis of keloids uncovers novel susceptibility loci in diverse populations
Journal Article

Multi-ancestry meta-analysis of keloids uncovers novel susceptibility loci in diverse populations

2025
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Overview
Keloids are raised scars that grow beyond original wound boundaries, resulting in pain and disfigurement. Reasons for keloid development are not well-understood, and current treatment options are limited. Keloids are more likely to occur in darker-skinned individuals of African and Asian descent than in Europeans. We performed a genome-wide association study (GWAS) examining keloid risk across and within continental ancestry groups, incorporating 7837 cases and 1,593,009 controls. We detected 26 loci in the multi-ancestry analysis, 12 of which replicated in an independent dataset. Heritability estimates were 6%, 21%, and 34% for the European, East Asian, and African ancestry analyses, respectively. Genetically predicted gene expression and colocalization analyses identified 27 gene-tissue pairs, nine in skin and fibroblasts. Pathway analyses implicated integrin signaling and upstream regulators involved in cancer, fibrosis, and sex hormone signaling. This investigation nearly quintuples the number of keloid-associated risk loci, illuminating biological processes in keloid pathology. Keloids are fibroproliferative scars with higher prevalence in individuals of African and Asian ancestry. Here, the authors perform a multi-ancestry GWAS identifying 26 loci and pathways linked to fibrosis, integrin signalling, and hormone regulation.