BACKGROUND: Although human leukocyte antigen (HLA)-DR and HLA-DQ genes and gluten play crucial roles in developing celiac disease (CD), most patients with these risk factors still do not develop CD, which indicates additional unrecognized risk factors. OBJECTIVE: To determine the association between asthma and the risk of CD in children. METHODS: We conducted a population-based retrospective case-control study in children who resided in Olmsted County, Minnesota. We identified children with CD (cases) between January 1, 1997, and December 31, 2014, and compared these with children without CD (controls) (1:2 matching). Asthma status was ascertained by using the predetermined asthma criteria (PAC) and the asthma predictive index (API). Data analysis included conditional logistic regression models and an unsupervised network analysis by using an independent phenome-wide association scan (PheWAS) data set. RESULTS: Although asthma status as determined by using PAC was not associated with the risk of CD (odds ratio [OR] 1.4 [95% confidence interval {CI}, 0.8-2.5]; p = 0.2), asthma status by using the API was significantly associated (OR 2.8 [95% CI, 1.3-6.0]; p = 0.008). A subgroup analysis indicated that children with both asthma as determined by using PAC and a family history of asthma had an increased risk of CD compared with those without asthma (OR 2.28 [95% CI, 1.11-4.67]; p = 0.024). PheWAS data showed a cluster of asthma single nucleotide polymorphisms and patients with CD. CONCLUSION: A subgroup of children with asthma who also had a family history of asthma seemed to be at an increased risk of CD, and, thus, the third factor that underlies the risk of CD might be related to genetic factors for asthma. Heterogeneity of asthma plays a role in determining the risk of asthma-related comorbidity.
BACKGROUND: Although human leukocyte antigen (HLA)-DR and HLA-DQ genes and gluten play crucial roles in developing celiac disease (CD), most patients with these risk factors still do not develop CD, which indicates additional unrecognized risk factors. OBJECTIVE: To determine the association between asthma and the risk of CD in children. METHODS: We conducted a population-based retrospective case-control study in children who resided in Olmsted County, Minnesota. We identified children with CD (cases) between January 1, 1997, and December 31, 2014, and compared these with children without CD (controls) (1:2 matching). Asthma status was ascertained by using the predetermined asthma criteria (PAC) and the asthma predictive index (API). Data analysis included conditional logistic regression models and an unsupervised network analysis by using an independent phenome-wide association scan (PheWAS) data set. RESULTS: Although asthma status as determined by using PAC was not associated with the risk of CD (odds ratio [OR] 1.4 [95% confidence interval {CI}, 0.8-2.5]; p = 0.2), asthma status by using the API was significantly associated (OR 2.8 [95% CI, 1.3-6.0]; p = 0.008). A subgroup analysis indicated that children with both asthma as determined by using PAC and a family history of asthma had an increased risk of CD compared with those without asthma (OR 2.28 [95% CI, 1.11-4.67]; p = 0.024). PheWAS data showed a cluster of asthma single nucleotide polymorphisms and patients with CD. CONCLUSION: A subgroup of children with asthma who also had a family history of asthma seemed to be at an increased risk of CD, and, thus, the third factor that underlies the risk of CD might be related to genetic factors for asthma. Heterogeneity of asthma plays a role in determining the risk of asthma-related comorbidity.
Authors: R Pillon; F Ziberna; L Badina; A Ventura; G Longo; S Quaglia; L De Leo; S Vatta; S Martelossi; G Patano; T Not; I Berti Journal: Allergy Date: 2015-07-27 Impact factor: 13.146
Authors: Ivor D Hill; Martha H Dirks; Gregory S Liptak; Richard B Colletti; Alessio Fasano; Stefano Guandalini; Edward J Hoffenberg; Karoly Horvath; Joseph A Murray; Mitchell Pivor; Ernest G Seidman Journal: J Pediatr Gastroenterol Nutr Date: 2005-01 Impact factor: 2.839
Authors: Joshua C Denny; Marylyn D Ritchie; Melissa A Basford; Jill M Pulley; Lisa Bastarache; Kristin Brown-Gentry; Deede Wang; Dan R Masys; Dan M Roden; Dana C Crawford Journal: Bioinformatics Date: 2010-03-24 Impact factor: 6.937
Authors: A Mori; M Suko; O Kaminuma; S Inoue; T Ohmura; Y Nishizaki; T Nagahori; Y Asakura; A Hoshino; Y Okumura; G Sato; K Ito; H Okudaira Journal: J Immunol Date: 1996-04-01 Impact factor: 5.422
Authors: Young J Juhn; Hirohito Kita; Barbara P Yawn; Thomas G Boyce; Kwang H Yoo; Michaela E McGree; Amy L Weaver; Peter Wollan; Robert M Jacobson Journal: J Allergy Clin Immunol Date: 2008-09-13 Impact factor: 10.793
Authors: Bronwyn K Brew; Emma Caffrey Osvald; Tong Gong; Anna M Hedman; Kirsten Holmberg; Henrik Larsson; Jonas F Ludvigsson; Mwenya Mubanga; Awad I Smew; Catarina Almqvist Journal: Clin Exp Allergy Date: 2022-07-28 Impact factor: 5.401