Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Jun;7(6):509-522.
doi: 10.1016/S2213-2600(19)30055-4. Epub 2019 Apr 27.

Shared and distinct genetic risk factors for childhood-onset and adult-onset asthma: genome-wide and transcriptome-wide studies

Affiliations

Shared and distinct genetic risk factors for childhood-onset and adult-onset asthma: genome-wide and transcriptome-wide studies

Milton Pividori et al. Lancet Respir Med. 2019 Jun.

Abstract

Background: Childhood-onset and adult-onset asthma differ with respect to severity and comorbidities. Whether they also differ with respect to genetic risk factors has not been previously investigated in large samples. The goals of this study were to identify shared and distinct genetic risk loci for childhood-onset and adult-onset asthma, and to identify the genes that might mediate the effects of associated variation.

Methods: We did genome-wide and transcriptome-wide studies, using data from the UK Biobank, in individuals with asthma, including adults with childhood-onset asthma (onset before 12 years of age), adults with adult-onset asthma (onset between 26 and 65 years of age), and adults without asthma (controls; aged older than 38 years). We did genome-wide association studies (GWAS) for childhood-onset asthma and adult-onset asthma each compared with shared controls, and for age of asthma onset in all asthma cases, with a genome-wide significance threshold of p<5 × 10-8. Enrichment studies determined the tissues in which genes at GWAS loci were most highly expressed, and PrediXcan, a transcriptome-wide gene-based test, was used to identify candidate risk genes.

Findings: Of 376 358 British white individuals from the UK Biobank, we included 37 846 with self-reports of doctor-diagnosed asthma: 9433 adults with childhood-onset asthma; 21 564 adults with adult-onset asthma; and an additional 6849 young adults with asthma with onset between 12 and 25 years of age. For the first and second GWAS analyses, 318 237 individuals older than 38 years without asthma were used as controls. We detected 61 independent asthma loci: 23 were childhood-onset specific, one was adult-onset specific, and 37 were shared. 19 loci were associated with age of asthma onset. The most significant asthma-associated locus was at 17q12 (odds ratio 1·406, 95% CI 1·365-1·448; p=1·45 × 10-111) in the childhood-onset GWAS. Genes at the childhood onset-specific loci were most highly expressed in skin, blood, and small intestine; genes at the adult onset-specific loci were most highly expressed in lung, blood, small intestine, and spleen. PrediXcan identified 113 unique candidate genes at 22 of the 61 GWAS loci. Single-nucleotide polymorphism-based heritability estimates were more than three times larger for childhood-onset asthma (0·327) than for adult-onset disease (0·098). The onset of disease in childhood was associated with additional genes with relatively large effect sizes, with the largest odds ratio observed at the FLG locus at 1q21.3 (1·970, 95% CI 1·823-2·129).

Interpretation: Genetic risk factors for adult-onset asthma are largely a subset of the genetic risk for childhood-onset asthma but with overall smaller effects, suggesting a greater role for non-genetic risk factors in adult-onset asthma. Combined with gene expression and tissue enrichment patterns, we suggest that the establishment of disease in children is driven more by dysregulated allergy and epithelial barrier function genes, whereas the cause of adult-onset asthma is more lung-centred and environmentally determined, but with immune-mediated mechanisms driving disease progression in both children and adults.

Funding: US National Institutes of Health.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest

Dr. Im reports personal fees from AbbVie, personal fees from GSK, outside the submitted work. The other authors declare no conflicts of interest.

Figures

Figure 1.
Figure 1.. GWAS of childhood onset and adult onset asthma.
Miami plot showing results for the childhood onset versus controls GWAS (blue, panel A) and adult onset versus controls GWAS (red, panel B). Each point corresponds to a SNP; the y-axes show the -log10p-values from the childhood onset GWAS (panel A) and adult onset GWAS (panel B). The x-axis shows the position of each SNP along the 22 autosomes. See appendix Figure 6 for the age of asthma onset Manhatten plot.
Figure 2.
Figure 2.
Forest plot showing the odds ratios (ORs) and 95% confidence intervals from the childhood onset (blue) and adult onset (red) GWASs, and betas and standard errors (gray) from the age of onset GWAS for the 61 asthma associated loci. Left panel: Childhood onset specific loci (top) and adult onset specific locus (bottom); right panel: Shared loci. Loci within each group are sorted by OR in the childhood onset GWAS (largest to smallest).
Figure 3.
Figure 3.
Age of onset effects (ORs) for lead SNPs at three genome-wide signficant childhood onset specific loci (1q21·3, 4p14 and 17q12), and three genome-wide signficant shared loci (2q12·1, 6p21·32, and 11q13·5). The sample sizes for the age of onset bins are [0,5]: n=4,637; [6,10]: n=4,255; [11,15]: n=2,684; [16,20]: n=2,128; [21,25]: n=2,578; [26,30]: n=2,923; [31,35]: n=2,599; [36,40]: n=3,571; [41,45]: n=2,967; [46,50]: n=3,266, [51,55]: n=2,544; [56,65]: n=3,694.
Figure 4.
Figure 4.. Results of PrediXcan studies at non-HLA region loci.
Genes whose predicted expression was significantly associated with asthma in either the childhood onset cases or the adult onset cases are shown for skin (left panels), lung (middle panels) and whole blood (right panels). Values shown for skin combine both sun exposed and not sun exposed skin, showing the most significant statistic of the two. Results using gene expression in spleen and small intestine are shown in appendix Figure 8. The z-scores on the x- and y-axes are from transcriptome-wide tests of association with asthma using SNP sets that predict the expression of that gene. The diagonal dashed lines show the expected when associations are the same in the childhood onset and adult onset cases. The horizontal/vertical dashed lines correspond to z-scores ±4·84 (p=1·29×10−6); the horizontal/vertical dotted lines correspond to z-scores ±1·96 (p=0·05). Colored backgrounds correspond to the chromosome location of each gene (see Key). Upper panels: Genes that are associated with childhood onset asthma (no genes were associated with adult onset asthma). Lower panels: Shared genes associated with both childhood onset and adult onset asthma. HLA region genes (6p21·32 and 6p21·33) are shown in Figure 5.
Figure 5.
Figure 5.. Results of PrediXcan studies of HLA region genes.
Genes in the HLA region whose predicted expression was associated with childhood onset or adult onset asthma are shown for skin (left panel), lung tissue (middle panel) and whole blood (right panel). Results using gene expression in spleen and small intestine are shown in appendix Figure 9. The genes on darker shaded backgrounds correspond to shared genes; the four genes on lighter color backgrounds are age-specific. See Figure 4 for additional details.

Comment in

Similar articles

Cited by

  • Targeting TNF/TNFR superfamilies in immune-mediated inflammatory diseases.
    Veerasubramanian PK, Wynn TA, Quan J, Karlsson FJ. Veerasubramanian PK, et al. J Exp Med. 2024 Nov 4;221(11):e20240806. doi: 10.1084/jem.20240806. Epub 2024 Sep 19. J Exp Med. 2024. PMID: 39297883 Free PMC article. Review.
  • Human milk oligosaccharides are associated with maternal genetics and respiratory health of human milk-fed children.
    Ambalavanan A, Chang L, Choi J, Zhang Y, Stickley SA, Fang ZY, Miliku K, Robertson B, Yonemitsu C, Turvey SE, Mandhane PJ, Simons E, Moraes TJ, Anand SS, Paré G, Williams JE, Murdoch BM, Otoo GE, Mbugua S, Kamau-Mbuthia EW, Kamundia EW, Gindola DK, Rodriguez JM, Pareja RG, Sellen DW, Moore SE, Prentice AM, Foster JA, Kvist LJ, Neibergs HL, McGuire MA, McGuire MK, Meehan CL, Sears MR, Subbarao P, Azad MB, Bode L, Duan Q. Ambalavanan A, et al. Nat Commun. 2024 Sep 4;15(1):7735. doi: 10.1038/s41467-024-51743-6. Nat Commun. 2024. PMID: 39232002 Free PMC article.
  • Host-microbial interactions differ with age of asthma onset.
    Versi A, Azim A, Ivan FX, Abdel-Aziz MI, Bates S, Riley J, Maitland-Van Der Zee AH, Dahlen SE, Djukanovic R, Chotirmall SH, Howarth P, Kermani NZ, Chung KF, Adcock IM; U-BIOPRED study group. Versi A, et al. Eur Respir J. 2024 Sep 5;64(3):2400428. doi: 10.1183/13993003.00428-2024. Print 2024 Sep. Eur Respir J. 2024. PMID: 39190793 Free PMC article.
  • Enhancers regulate genes linked to severe and mild childhood asthma.
    Akhter T, Mileti E, Kere MM, Kolmert J, Konradsen JR, Hedlin G, Melén E, Daub CO. Akhter T, et al. Heliyon. 2024 Jul 9;10(14):e34386. doi: 10.1016/j.heliyon.2024.e34386. eCollection 2024 Jul 30. Heliyon. 2024. PMID: 39108895 Free PMC article.
  • Asthma-Genomic Advances Toward Risk Prediction.
    Herrera-Luis E, Martin-Almeida M, Pino-Yanes M. Herrera-Luis E, et al. Clin Chest Med. 2024 Sep;45(3):599-610. doi: 10.1016/j.ccm.2024.03.002. Epub 2024 Apr 21. Clin Chest Med. 2024. PMID: 39069324 Review.

References

    1. Collaborators GBDCRD. Global, regional, and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Respir Med 2017; 5(9): 691–706. - PMC - PubMed
    1. Bush A, Menzies-Gow A. Phenotypic differences between pediatric and adult asthma. Proc Am Thorac Soc 2009; 6(8): 712–9. - PubMed
    1. Busse W, Banks-Schlegel SP, Larsen GL. Childhood- versus adult-onset asthma. Am J Respir Crit Care Med 1995; 151(5): 1635–9. - PubMed
    1. Dijk FN, de Jongste JC, Postma DS, Koppelman GH. Genetics of onset of asthma. Curr Opin Allergy Clin Immunol 2013; 13(2): 193–202. - PubMed
    1. Holloway JW, Arshad SH, Holgate ST. Using genetics to predict the natural history of asthma? J Allergy Clin Immunol 2010; 126(2): 200–9; quiz 10-1. - PubMed

Publication types