Genome-wide association analysis identifies 11 risk variants associated with the asthma with hay fever phenotype
- PMID: 24388013
- PMCID: PMC4280183
- DOI: 10.1016/j.jaci.2013.10.030
Genome-wide association analysis identifies 11 risk variants associated with the asthma with hay fever phenotype
Abstract
Background: To date, no genome-wide association study (GWAS) has considered the combined phenotype of asthma with hay fever. Previous analyses of family data from the Tasmanian Longitudinal Health Study provide evidence that this phenotype has a stronger genetic cause than asthma without hay fever.
Objective: We sought to perform a GWAS of asthma with hay fever to identify variants associated with having both diseases.
Methods: We performed a meta-analysis of GWASs comparing persons with both physician-diagnosed asthma and hay fever (n = 6,685) with persons with neither disease (n = 14,091).
Results: At genome-wide significance, we identified 11 independent variants associated with the risk of having asthma with hay fever, including 2 associations reaching this level of significance with allergic disease for the first time: ZBTB10 (rs7009110; odds ratio [OR], 1.14; P = 4 × 10(-9)) and CLEC16A (rs62026376; OR, 1.17; P = 1 × 10(-8)). The rs62026376:C allele associated with increased asthma with hay fever risk has been found to be associated also with decreased expression of the nearby DEXI gene in monocytes. The 11 variants were associated with the risk of asthma and hay fever separately, but the estimated associations with the individual phenotypes were weaker than with the combined asthma with hay fever phenotype. A variant near LRRC32 was a stronger risk factor for hay fever than for asthma, whereas the reverse was observed for variants in/near GSDMA and TSLP. Single nucleotide polymorphisms with suggestive evidence for association with asthma with hay fever risk included rs41295115 near IL2RA (OR, 1.28; P = 5 × 10(-7)) and rs76043829 in TNS1 (OR, 1.23; P = 2 × 10(-6)).
Conclusion: By focusing on the combined phenotype of asthma with hay fever, variants associated with the risk of allergic disease can be identified with greater efficiency.
Keywords: Rhinitis; atopy; bivariate; genetic correlation; selection; single nucleotide polymorphism.
Copyright © 2013 American Academy of Allergy, Asthma & Immunology. Published by Mosby, Inc. All rights reserved.
Conflict of interest statement
Disclosure of potential conflict of interest: M. A. R. Ferreira has received research support from the Australian National Health and Medical Research Council (NHMRC). A. K. Kiefer has received research support from the National Institutes of Health (NIH) and is employed by and has stock/stock options in 23andMe. D. L Duffy has received research support from the NHMRC. N. Eriksson has received research support from the NIH and is employed by and has stock/stock options in 23andMe. P. A. Madden has received research support from the NIH (R01DA012854 [NAG] and R25DA027995 [R25]) and has received lecture fees. M. J. Abramson has received research support from Pfizer and has received travel support from Boehringer Ingelheim. A. C. Heath has received research support from the National Institutes of Health. C. F. Robertson has received research support from the NHMRC (grants 436959, 490321, 491246, 1006215, 044816, and 1044829), the MCRI, the US Cystic Fibrosis Foundation, the Australian Cystic Fibrosis Research Trust, and the NHMRC Centre for Research Excellence. G. W. Montgomery has received research support from the NHMRC. A. J. Henderson has received research support from the Medical Research Council UK and the Wellcome Trust. J. Y. Tung has received research support from the NIH (1R43HL115873-01) and is employed by and has stock/stock options in 23andMe. C. Pennell has received research support from the NHMRC (APP572613, 2009–2012), the NIH, CIHR, and Channel 7 Telethon; is a board member for the Raine Executive Committee; is employed by the University of Western Australia; has patents from the United States; and has received travel expenses from the March of Dimes Preventing Prematurity meeting, the GAPPS meeting, and PreHOT meetings from 2009–2012. D. M. Evans has received research support from the MRC and the Wellcome trust (supply core support to Avon Longitudinal Study of Parents and Their Children). D. A. Hinds has received research support from the NIH (1R43HL115873-01) and is employed by and has stock/stock options in 23andMe. The rest of the authors declare that they have no relevant conflicts of interest.
Figures

Similar articles
-
Genome-wide association analysis of 350 000 Caucasians from the UK Biobank identifies novel loci for asthma, hay fever and eczema.Hum Mol Genet. 2019 Dec 1;28(23):4022-4041. doi: 10.1093/hmg/ddz175. Hum Mol Genet. 2019. PMID: 31361310 Free PMC article.
-
Eleven loci with new reproducible genetic associations with allergic disease risk.J Allergy Clin Immunol. 2019 Feb;143(2):691-699. doi: 10.1016/j.jaci.2018.03.012. Epub 2018 Apr 19. J Allergy Clin Immunol. 2019. PMID: 29679657 Free PMC article.
-
A genome-wide meta-analysis of genetic variants associated with allergic rhinitis and grass sensitization and their interaction with birth order.J Allergy Clin Immunol. 2011 Nov;128(5):996-1005. doi: 10.1016/j.jaci.2011.08.030. J Allergy Clin Immunol. 2011. PMID: 22036096
-
Genome-wide association studies in asthma; perhaps, the end of the beginning.Curr Opin Allergy Clin Immunol. 2013 Oct;13(5):463-9. doi: 10.1097/ACI.0b013e328364ea5f. Curr Opin Allergy Clin Immunol. 2013. PMID: 23945178 Review.
-
Lessons from ten years of genome-wide association studies of asthma.Clin Transl Immunology. 2017 Dec 15;6(12):e165. doi: 10.1038/cti.2017.54. eCollection 2017 Dec. Clin Transl Immunology. 2017. PMID: 29333270 Free PMC article. Review.
Cited by
-
A novel mouse model for the identification of thioredoxin-1 protein interactions.Free Radic Biol Med. 2016 Oct;99:533-543. doi: 10.1016/j.freeradbiomed.2016.09.013. Epub 2016 Sep 14. Free Radic Biol Med. 2016. PMID: 27639450 Free PMC article.
-
eQTL of bronchial epithelial cells and bronchial alveolar lavage deciphers GWAS-identified asthma genes.Allergy. 2015 Oct;70(10):1309-18. doi: 10.1111/all.12683. Epub 2015 Jul 24. Allergy. 2015. PMID: 26119467 Free PMC article.
-
TSLP disease-associated genetic variants combined with airway TSLP expression influence asthma risk.J Allergy Clin Immunol. 2022 Jan;149(1):79-88. doi: 10.1016/j.jaci.2021.05.033. Epub 2021 Jun 7. J Allergy Clin Immunol. 2022. PMID: 34111451 Free PMC article.
-
eQTL discovery and their association with severe equine asthma in European Warmblood horses.BMC Genomics. 2018 Aug 2;19(1):581. doi: 10.1186/s12864-018-4938-9. BMC Genomics. 2018. PMID: 30071827 Free PMC article.
-
Identification of a Novel Pyroptosis-Related Gene Signature Indicative of Disease Prognosis and Treatment Response in Skin Cutaneous Melanoma.Int J Gen Med. 2022 Jul 12;15:6145-6163. doi: 10.2147/IJGM.S367693. eCollection 2022. Int J Gen Med. 2022. PMID: 35855761 Free PMC article.
References
-
- Guerra S, Sherrill DL, Martinez FD, Barbee RA. Rhinitis as an independent risk factor for adult-onset asthma. J Allergy Clin Immunol. 2002;109:419–25. - PubMed
-
- Leynaert B, Bousquet J, Neukirch C, Liard R, Neukirch F. Perennial rhinitis: An independent risk factor for asthma in nonatopic subjects: results from the European Community Respiratory Health Survey. J Allergy Clin Immunol. 1999;104:301–4. - PubMed
-
- Shaaban R, Zureik M, Soussan D, Neukirch C, Heinrich J, Sunyer J, et al. Rhinitis and onset of asthma: a longitudinal population-based study. Lancet. 2008;372:1049–57. - PubMed
-
- Burgess JA, Walters EH, Byrnes GB, Matheson MC, Jenkins MA, Wharton CL, et al. Childhood allergic rhinitis predicts asthma incidence and persistence to middle age: a longitudinal study. J Allergy Clin Immunol. 2007;120:863–9. - PubMed
-
- Togias A. Rhinitis and asthma: evidence for respiratory system integration. J Allergy Clin Immunol. 2003;111:1171–84. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
- R01 AA007535/AA/NIAAA NIH HHS/United States
- AA13320/AA/NIAAA NIH HHS/United States
- R01 AA007728/AA/NIAAA NIH HHS/United States
- DA12854/DA/NIDA NIH HHS/United States
- AA17688/AA/NIAAA NIH HHS/United States
- R01 AA013321/AA/NIAAA NIH HHS/United States
- MC_PC_15018/MRC_/Medical Research Council/United Kingdom
- AA07728/AA/NIAAA NIH HHS/United States
- R43 HL115873/HL/NHLBI NIH HHS/United States
- R01 DA012854/DA/NIDA NIH HHS/United States
- R01 AA010249/AA/NIAAA NIH HHS/United States
- WT_/Wellcome Trust/United Kingdom
- AA14041/AA/NIAAA NIH HHS/United States
- AA13326/AA/NIAAA NIH HHS/United States
- R01 AA013320/AA/NIAAA NIH HHS/United States
- R01 AA014041/AA/NIAAA NIH HHS/United States
- K05 AA017688/AA/NIAAA NIH HHS/United States
- R01 MH066206/MH/NIMH NIH HHS/United States
- MOP-82893/CAPMC/ CIHR/Canada
- P60 AA011998/AA/NIAAA NIH HHS/United States
- P50 AA011998/AA/NIAAA NIH HHS/United States
- AA13321/AA/NIAAA NIH HHS/United States
- AA10248/AA/NIAAA NIH HHS/United States
- R01 AA013326/AA/NIAAA NIH HHS/United States
- R56 DA012854/DA/NIDA NIH HHS/United States
- MH66206/MH/NIMH NIH HHS/United States
- AA11998/AA/NIAAA NIH HHS/United States
- MC_UU_12013/4/MRC_/Medical Research Council/United Kingdom
- R37 AA007728/AA/NIAAA NIH HHS/United States
- R25 DA027995/DA/NIDA NIH HHS/United States
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical