Literature DB >> 33621469

Understanding How Asthma Starts: Longitudinal Patterns of Wheeze and the Chromosome 17q Locus.

Gerard H Koppelman1,2, Elin T G Kersten1,2.   

Abstract

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Year:  2021        PMID: 33621469      PMCID: PMC8017592          DOI: 10.1164/rccm.202102-0443ED

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


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Most childhood asthma starts in the preschool years. Symptoms such as wheeze, cough, and dyspnea are not specific to asthma and can also represent transient symptoms due to viral respiratory tract infections. Triggers of preschool wheeze can change over time (1) and therefore are not reliable predictors of asthma. No valid, reproducible diagnostic or predictive test of preschool asthma is currently available (2). This inability to diagnose preschool asthma has seriously impeded better understanding of childhood-onset asthma and the ability to design targeted, early-life interventions. In this issue of the Journal, Hallmark and colleagues (pp. 864–870) combine two strategies to better understand the development of childhood wheeze: the description of longitudinal patterns of wheeze in seven U.S. birth cohorts participating in the Children’s Respiratory Research and Environment Workgroup, and the investigation of the association of these longitudinal wheezing phenotypes with the 17q12-21 locus (“17q”) (3). 17q is the most replicated childhood-onset asthma locus (4). Using data from birth until age 11 years, their latent class modeling revealed four classes of wheeze: infrequent (no or low presence of wheeze; estimated prevalence 62% based on post hoc assignment to most probable class), transient (wheeze in the first years of life, but absent at school age; 17%), late-onset (10%), and persistent (wheeze persisting from preschool to school age; 11%). These patterns were similar in children of European American (EA) and African American (AA) descent. Notably, AA children had higher probability to be assigned to the persistent wheeze group, indicating a higher burden of wheeze in these children. This clearly calls for further research to better understand this higher burden in AA children. Are four wheezing patterns all there are? Whereas many longitudinal birth cohorts have identified these four patterns (5, 6), two additional wheezing patterns have been described by latent class analysis of UK and Dutch birth cohorts, with an additional transient wheeze group (prolonged early wheeze) and an additional late-onset group, the intermediate-onset wheeze group, which is strongly associated with atopy (7). This illustrates the strength but also the limitation of data-driven methods: the ability to define wheezing phenotypes is indeed strongly driven by the data, such as the number of assessments of wheeze and number of children studied. How does the description of longitudinal wheezing phenotypes advance our understanding of asthma development? No wheezing pattern was uniquely predictive of asthma; in fact, all wheezing patterns were associated with a higher chance of ever developing asthma (3). Interpretation of this analysis may be complicated by the fact that a doctor’s diagnosis of asthma at any age was taken as an outcome, as many children obtained their asthma diagnosis in the first 3 years of life. However, other studies also indicate that there is no wheezing pattern that uniquely leads to asthma, defined by asthma at school age, reduced lung function, or airway hyperresponsiveness (7). Thus, the pattern itself has limited ability to predict asthma, and the fact that these wheezing patterns can only be defined retrospectively limits their clinical use. Do the longitudinal wheezing phenotypes represent unique pathophysiological mechanisms and thus represent endotypes of asthma (8)? Genetic studies may reveal this, and Hallmark and coworkers chose to investigate SNPs at the 17q locus. Recent analysis has shown that this locus is strongly related to the age of onset of asthma but not to the onset of eczema or hay fever (9). 17q SNPs were associated with any of the three wheezing phenotypes in both AA and EA children, suggesting that these phenotypes have a shared genetic origin and, thus, that differences may actually be influenced by other factors, such as the environment. Fine mapping of this locus has been challenging because of extensive linkage disequilibrium (LD). By investigating associations between wheezing phenotypes and 17q SNPs in both EA and AA children, in whom the LD blocks extend over shorter distances, they aimed to pinpoint potential causal variants. The same technique recently allowed Ober and coworkers (10) to narrow down the association between 17q SNPs and childhood-onset asthma (<6 yr) in AA children to two SNPs: rs2305480 and rs8076131. In a subsequent expression quantitative trait loci analysis, rs2305480, an SNP in the coding region for GSDMB (gasdermin B), was strongly associated with expression of GSDMB in airway epithelial cells. Similarly, Gui and coworkers (11) used next-generation DNA sequencing data from AA individuals in three cohorts to evaluate the association between 17q and childhood-onset asthma (<5 yr). The lead association from their meta-analysis, rs11078928, is located in a 4-kb haplotype block containing four potentially functional polymorphisms in very strong LD, including rs2305480. rs11078928 affects splicing of GSDMB transcripts, and expression levels of these transcript isoforms in whole blood RNA sequencing were associated with asthma status, making this a likely causal candidate mechanism of childhood-onset asthma (12). The authors propose that the 17q locus may be considered a “wheezing locus” instead of an “asthma locus.” However, this statement may need support from future studies. For most of the tested SNPs, the odd ratios are higher in wheezing classes with higher proportions of children with doctor-diagnosed asthma. These results are in line with previous observations by Granell and coworkers (13) who describe a strong association of 17q SNPs, including rs2305480, with persistent and intermediate-onset childhood wheezing phenotypes, but a much weaker association with transient wheeze. Similarly, Sordillo and coworkers (14) observed an increased odds for persistent wheeze, but no association with transient or late-onset wheeze, for the 17q SNP rs12603332. In fact, in one of the first studies to assess the association between rs2305480 and preschool wheeze, the association was strongest for children wheezing in the third and fourth year of life (likely indicating persistent wheeze) and nonsignificant for wheeze in the first year of life (with the highest prevalence of the transient wheezing phenotype) (15). Hallmark and coworkers (3) have shown that it is possible to harmonize and jointly analyze multiple birth cohorts. Investigating the genetics of longitudinal wheezing phenotypes, in the future at a genome-wide basis, may help to disentangle mechanisms of early life wheeze and subsequent asthma development.
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Review 1.  Asthma endotypes: a new approach to classification of disease entities within the asthma syndrome.

Authors:  Jan Lötvall; Cezmi A Akdis; Leonard B Bacharier; Leif Bjermer; Thomas B Casale; Adnan Custovic; Robert F Lemanske; Andrew J Wardlaw; Sally E Wenzel; Paul A Greenberger
Journal:  J Allergy Clin Immunol       Date:  2011-02       Impact factor: 10.793

2.  Characterization of longitudinal wheeze phenotypes from infancy to adolescence in Project Viva, a prebirth cohort study.

Authors:  Joanne E Sordillo; Brent A Coull; Sheryl L Rifas-Shiman; Ann Chen Wu; Sharon M Lutz; Marie-France Hivert; Emily Oken; Diane R Gold
Journal:  J Allergy Clin Immunol       Date:  2019-11-06       Impact factor: 10.793

3.  Interaction of a 17q12 variant with both fetal and infant smoke exposure in the development of childhood asthma-like symptoms.

Authors:  R J P van der Valk; L Duijts; M Kerkhof; S P Willemsen; A Hofman; H A Moll; H A Smit; B Brunekreef; D S Postma; V W V Jaddoe; G H Koppelman; J C de Jongste
Journal:  Allergy       Date:  2012-04-03       Impact factor: 13.146

4.  Classification and pharmacological treatment of preschool wheezing: changes since 2008.

Authors:  Paul L P Brand; Daan Caudri; Ernst Eber; Erol A Gaillard; Luis Garcia-Marcos; Gunilla Hedlin; John Henderson; Claudia E Kuehni; Peter J F M Merkus; Soren Pedersen; Arunas Valiulis; Göran Wennergren; Andrew Bush
Journal:  Eur Respir J       Date:  2014-02-13       Impact factor: 16.671

5.  Prediction models for childhood asthma: A systematic review.

Authors:  Dilini M Kothalawala; Latha Kadalayil; Veronique B N Weiss; Mohammed Aref Kyyaly; Syed Hasan Arshad; John W Holloway; Faisal I Rezwan
Journal:  Pediatr Allergy Immunol       Date:  2020-04-13       Impact factor: 6.377

Review 6.  Characterizing wheeze phenotypes to identify endotypes of childhood asthma, and the implications for future management.

Authors:  Danielle C M Belgrave; Adnan Custovic; Angela Simpson
Journal:  Expert Rev Clin Immunol       Date:  2013-10       Impact factor: 4.473

7.  Expression quantitative trait locus fine mapping of the 17q12-21 asthma locus in African American children: a genetic association and gene expression study.

Authors:  Carole Ober; Chris G McKennan; Kevin M Magnaye; Matthew C Altman; Charles Washington; Catherine Stanhope; Katherine A Naughton; Mario G Rosasco; Leonard B Bacharier; Dean Billheimer; Diane R Gold; Lisa Gress; Tina Hartert; Suzanne Havstad; Gurjit K Khurana Hershey; Brian Hallmark; D Kyle Hogarth; Daniel J Jackson; Christine C Johnson; Meyer Kattan; Robert F Lemanske; Susan V Lynch; Eneida A Mendonca; Rachel L Miller; Edward T Naureckas; George T O'Connor; Christine M Seroogy; Ganesa Wegienka; Steven R White; Robert A Wood; Anne L Wright; Edward M Zoratti; Fernando D Martinez; Dennis Ownby; Dan L Nicolae; Albert M Levin; James E Gern
Journal:  Lancet Respir Med       Date:  2020-05       Impact factor: 30.700

8.  Chromosome 17q12-21 Variants Are Associated with Multiple Wheezing Phenotypes in Childhood.

Authors:  Brian Hallmark; Ganesa Wegienka; Suzanne Havstad; Dean Billheimer; Dennis Ownby; Eneida A Mendonca; Lisa Gress; Debra A Stern; Jocelyn Biagini Myers; Gurjit K Khurana Hershey; Lori Hoepner; Rachel L Miller; Robert F Lemanske; Daniel J Jackson; Diane R Gold; George T O'Connor; Dan L Nicolae; James E Gern; Carole Ober; Anne L Wright; Fernando D Martinez
Journal:  Am J Respir Crit Care Med       Date:  2021-04-01       Impact factor: 21.405

9.  Distinguishing Wheezing Phenotypes from Infancy to Adolescence. A Pooled Analysis of Five Birth Cohorts.

Authors:  Ceyda Oksel; Raquel Granell; Sadia Haider; Sara Fontanella; Angela Simpson; Steve Turner; Graham Devereux; Syed Hasan Arshad; Clare S Murray; Graham Roberts; John W Holloway; Paul Cullinan; John Henderson; Adnan Custovic
Journal:  Ann Am Thorac Soc       Date:  2019-07

10.  Diversity and the Splice of Life: Mapping the 17q12-21.1 Locus for Variants Associated with Early-Onset Asthma in African American Individuals.

Authors:  Benjamin A Raby; Scott T Weiss
Journal:  Am J Respir Crit Care Med       Date:  2021-02-15       Impact factor: 21.405

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