2018
DOI: 10.1111/cea.13181
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Novel genes and insights in complete asthma remission: A genome‐wide association study on clinical and complete asthma remission

Abstract: By defining a strict remission phenotype, we identified 3 SNPs to be associated with complete asthma remission, where 2 SNPs have plausible biological relevance in FRS2, CCT, IL1RL1, IL18R1 and IL13.

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Cited by 19 publications
(23 citation statements)
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“…Remission rates are higher in children with an asthma diagnosis than in adults with an asthma diagnosis. 54,55 Vonk et al 56 performed GWASs of clinical remission and complete remission of asthma in 178 and 55 subjects, respectively, after a median follow-up of 15.5 years among a cohort of 790 asthma cases. No locus in either GWAS was genome-wide significant, likely because of the small number of cases and limited power to detect associations.…”
Section: Gwass Of Asthma Remissionmentioning
confidence: 99%
“…Remission rates are higher in children with an asthma diagnosis than in adults with an asthma diagnosis. 54,55 Vonk et al 56 performed GWASs of clinical remission and complete remission of asthma in 178 and 55 subjects, respectively, after a median follow-up of 15.5 years among a cohort of 790 asthma cases. No locus in either GWAS was genome-wide significant, likely because of the small number of cases and limited power to detect associations.…”
Section: Gwass Of Asthma Remissionmentioning
confidence: 99%
“…In our population, the odds of ED management failure was positively associated with the number of risk alleles in these three significant SNPs. Most genetic studies in asthma have focused on the individual effect of a SNP on asthma‐related outcomes . However, the effect size of individual SNPs is often small and thus very large sample sizes are required to detect such effect.…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, the Dutch group has described genetic variants associated with remission across multiple cohorts, while we have previously noted microRNAs predictive of resolution of airways hyperresponsiveness in CAMP. 5,6 We anticipate that by combining clinical and multiomic data using systems biology, we will be able to further elucidate the mechanisms governing asthma remission and persistence. This will enable us to create personalized and more accurate prediction models for asthma remission and may eventually lead to novel therapeutic approaches for the secondary prevention of asthma.…”
Section: Replymentioning
confidence: 99%