Abstract
IntroductionGenetic contributions to hernia development are incompletely understood. This study performed the first comprehensive genome-wide association study (GWAS) for diaphragmatic hernia using a large population-based cohort in the UK Biobank (UKB).Methods and proceduresTwo-stage GWAS (discovery and confirmation) was performed for diaphragmatic hernia in the UKB. Briefly, 275,549 and 91,850 subjects were randomly selected for association tests in Stages 1 and 2, respectively. Association tests between 8,568,156 SNPs (genotyped or imputed with MAF > 0.01) in the autosomal genome and diaphragmatic hernia were performed in Stage 1. SNPs with P < 1 × 10-5 were selected for confirmation in Stage 2, and those with P < 0.05 and the same direction of association as Stage 1 were selected for combined association testing; SNPs with combined P < 5 × 10-8 were considered GWAS-significant. LD clumping analysis identified genetically independent chromosomal regions (loci). A genetic risk score (GRS) measured the cumulative risk of independent SNPs in 91,849 additional subjects using odds ratios (ORs) from Stages 1 and 2.Results36,351 patients were identified with diaphragmatic hernia (ICD-10 K44). In Stage 1 analysis, 2654 SNPs were associated (P < 1 × 10-5) with diaphragmatic hernia. Stage 2 analysis confirmed 338 SNPs (P < 0.05). In combined analysis, 245 SNPs reached GWAS significance (P < 5 × 10-8). LD clumping analysis revealed 14 independent loci associated with diaphragmatic hernia. Two loci have been previously associated with inguinal hernia at 2p16 (rs181661155) and 11p13 (rs5030123). eQTL analysis suggested genes CRLF1, UBA52, and CALD1 are also significantly associated with these loci. GRS showed significant increase in cases compared to controls (P < 1 × 10-16) and is associated with increased risk of diaphragmatic hernia (P < 1 × 10-7).ConclusionsWe identified 245 SNPs at 14 susceptibility loci associated with diaphragmatic hernia in a large population-based cohort. These results offer insight into pathogenetic mechanisms of diaphragmatic hernia development and may be used in genetic risk scores for pre-operative risk-stratification and clinical prediction models.Graphical abstract</p>