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Abstract
The aim is to investigate the evidence for shared genetic architecture between each of asthma, allergic rhinitis and eczema with gastro-esophageal reflux disease (GERD). Structural equation models (SEM) and polygenic risk score (PRS) analyses are applied to three Swedish twin cohorts (n = 46,582) and reveal a modest genetic correlation between GERD and asthma of 0.18 and bidirectional PRS and phenotypic associations ranging between OR 1.09-1.14 and no correlations for eczema and allergic rhinitis. Linkage disequilibrium score regression is applied to summary statistics of recently published GERD and asthma/allergic disease genome wide association studies and reveals a genetic correlation of 0.48 for asthma and GERD, and Genomic SEM supports a single latent factor. A gene-/gene-set analysis using MAGMA reveals six pleiotropic genes (two at 12q13.2) associated with asthma and GERD. This study provides evidence that there is a common genetic architecture unique to asthma and GERD that may explain comorbidity and requires further investigation.
Structural equation models, polygenic risk score analysis of twin data and linkage disequilibrium score regression of GWAS studies indicate genetic architecture of asthma and GERD. Gene-/gene-set analysis revealed six pleiotropic genes.
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1 Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626)
2 University of Tartu, Estonian Genome Centre, Institute of Genomics, Tartu, Estonia (GRID:grid.10939.32) (ISNI:0000 0001 0943 7661)
3 Stockholm University, Stress Research Institute, Department of Psychology, Stockholm, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377)
4 University of Newcastle, School of Medicine and Public Health, Newcastle, Australia (GRID:grid.266842.c) (ISNI:0000 0000 8831 109X)
5 Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626); Karolinska University Hospital, Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children’s Hospital, Stockholm, Sweden (GRID:grid.24381.3c) (ISNI:0000 0000 9241 5705)
6 Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626); UNSW, Centre for Big Data Research in Health & School of Clinical Medicine, Sydney, Australia (GRID:grid.1005.4) (ISNI:0000 0004 4902 0432)