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      Childhood asthma is associated with COPD and known asthma variants in COPDGene: a genome-wide association study

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          Abstract

          Background

          Childhood asthma is strongly influenced by genetics and is a risk factor for reduced lung function and chronic obstructive pulmonary disease (COPD) in adults. This study investigates self-reported childhood asthma in adult smokers from the COPDGene Study. We hypothesize that childhood asthma is associated with decreased lung function, increased risk for COPD, and that a genome-wide association study (GWAS) will show association with established asthma variants.

          Methods

          We evaluated current and former smokers ages 45–80 of non-Hispanic white (NHW) or African American (AA) race. Childhood asthma was defined by self-report of asthma, diagnosed by a medical professional, with onset at < 16 years or during childhood. Subjects with a history of childhood asthma were compared to those who never had asthma based on lung function, development of COPD, and genetic variation. GWAS was performed in NHW and AA populations, and combined in meta-analysis. Two sets of established asthma SNPs from published literature were examined for association with childhood asthma.

          Results

          Among 10,199 adult smokers, 730 (7%) reported childhood asthma and 7493 (73%) reported no history of asthma. Childhood asthmatics had reduced lung function and increased risk for COPD (OR 3.42, 95% CI 2.81–4.18). Genotype data was assessed for 8031 subjects. Among NHWs, 391(7%) had childhood asthma, and GWAS identified one genome-wide significant association in KIAA1958 (rs59289606, p = 4.82 × 10 − 8). Among AAs, 339 (12%) had childhood asthma. No SNPs reached genome-wide significance in the AAs or in the meta-analysis combining NHW and AA subjects; however, potential regions of interest were identified. Established asthma SNPs were examined, seven from the NHGRI-EBI database and five with genome-wide significance in the largest pediatric asthma GWAS. Associations were found in the current childhood asthma GWAS with known asthma loci in IL1RL1, IL13, LINC01149, near GSDMB, and in the C11orf30-LRRC32 region (Bonferroni adjusted p < 0.05 for all comparisons).

          Conclusions

          Childhood asthmatics are at increased risk for COPD. Defining asthma by self-report is valid in populations at risk for COPD, identifying subjects with clinical and genetic characteristics known to associate with childhood asthma. This has potential to improve clinical understanding of asthma-COPD overlap (ACO) and enhance future research into ACO-specific treatment regimens.

          Trial registration

          ClinicalTrials.gov, NCT00608764 (Active since January 28, 2008).

          Electronic supplementary material

          The online version of this article (10.1186/s12931-018-0890-0) contains supplementary material, which is available to authorized users.

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          Most cited references44

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          Epidemiology Standardization Project (American Thoracic Society).

          B G Ferris (1978)
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            Meta-analysis methods for genome-wide association studies and beyond.

            Meta-analysis of genome-wide association studies (GWASs) has become a popular method for discovering genetic risk variants. Here, we overview both widely applied and newer statistical methods for GWAS meta-analysis, including issues of interpretation and assessment of sources of heterogeneity. We also discuss extensions of these meta-analysis methods to complex data. Where possible, we provide guidelines for researchers who are planning to use these methods. Furthermore, we address special issues that may arise for meta-analysis of sequencing data and rare variants. Finally, we discuss challenges and solutions surrounding the goals of making meta-analysis data publicly available and building powerful consortia.
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              A genome-wide association study identifies CDHR3 as a susceptibility locus for early childhood asthma with severe exacerbations.

              Asthma exacerbations are among the most frequent causes of hospitalization during childhood, but the underlying mechanisms are poorly understood. We performed a genome-wide association study of a specific asthma phenotype characterized by recurrent, severe exacerbations occurring between 2 and 6 years of age in a total of 1,173 cases and 2,522 controls. Cases were identified from national health registries of hospitalization, and DNA was obtained from the Danish Neonatal Screening Biobank. We identified five loci with genome-wide significant association. Four of these, GSDMB, IL33, RAD50 and IL1RL1, were previously reported as asthma susceptibility loci, but the effect sizes for these loci in our cohort were considerably larger than in the previous genome-wide association studies of asthma. We also obtained strong evidence for a new susceptibility gene, CDHR3 (encoding cadherin-related family member 3), which is highly expressed in airway epithelium. These results demonstrate the strength of applying specific phenotyping in the search for asthma susceptibility genes.
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                Author and article information

                Contributors
                617-525-2072 , Lystra.Hayden@childrens.harvard.edu
                michael.cho@channing.harvard.edu
                benjamin.raby@channing.harvard.edu
                tbeaty1@jhu.edu
                edwin.silverman@channing.harvard.edu
                craig.hersh@channing.harvard.edu
                Journal
                Respir Res
                Respir. Res
                Respiratory Research
                BioMed Central (London )
                1465-9921
                1465-993X
                29 October 2018
                29 October 2018
                2018
                : 19
                : 209
                Affiliations
                [1 ]ISNI 0000 0004 0378 8438, GRID grid.2515.3, Division of Respiratory Diseases, Boston Children’s Hospital, ; Boston, MA USA
                [2 ]ISNI 0000 0004 0378 8294, GRID grid.62560.37, Channing Division of Network Medicine, Brigham and Women’s Hospital, ; 181 Longwood Avenue, Boston, MA 02115 USA
                [3 ]ISNI 0000 0004 0378 8294, GRID grid.62560.37, Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, ; Boston, MA USA
                [4 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Bloomberg School of Public Health, Johns Hopkins University, ; Baltimore, MD USA
                Author information
                http://orcid.org/0000-0001-6874-0097
                Article
                890
                10.1186/s12931-018-0890-0
                6206739
                30373671
                2b9f244d-18b3-41ae-91d3-03e9a386a2f2
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 18 July 2018
                : 12 September 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: K23HL136851
                Award ID: K12HL120004
                Award ID: R01HL113264
                Award ID: U01HL089856
                Award ID: U01HL089897
                Award ID: R01HL130512
                Award ID: R01HL125583
                Award ID: P01HL105339
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Respiratory medicine
                childhood asthma,genome-wide association study,chronic obstructive pulmonary disease,lung function,genetic epidemiology

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