REFERENCES:
1. Wang, T. N., Lin, M. C., Wu, C. C., and Huang, M. S. Pharmacogenomics and asthma treatment: A new era of precision medicine. International Journal of Molecular Sciences. 2020; 21(15): 5480.
2. Ortega, V. E., Meyers, D. A., and Bleecker, E. R. Asthma pharmacogenetics and the development of genetic profiles for personalized medicine. Pharmacogenomics and Personalized Medicine. 2015; 8: 9–22.
3. Fitzpatrick, A. M., Teague, W. G., and Meyers, D. A. Asthma phenotypes and endotypes for precision medicine and targeted therapy. Journal of Allergy and Clinical Immunology. 2022; 149(2): 406–416.
4. Pavord, I. D., Beasley, R., Agusti, A., Anderson, G. P., Bel, E., Brusselle, G., and Brightling, C. E. After asthma: Redefining airways diseases. The Lancet. 2018; 391(10118): 350–400.
5. Holgate, S. T., Wenzel, S., Postma, D. S., Weiss, S. T., Renz, H., and Sly, P. D. Asthma. Nature Reviews Disease Primers. 2015; 1(1): 15025.
6. Wenzel, S. E., Barnes, P. J., Bleecker, E. R., Bousquet, J., Busse, W., Dahlen, S. E., and Ziegler, S. F. A systematic approach to severe asthma. Journal of Allergy and Clinical Immunology. 2012; 129(5): 946–958.
7. Fahy, J. V., Locksley, R. M. The airway epithelium as a regulator of Th2 responses in asthma. The Journal of Clinical Investigation. 2015; 125(3): 970–980.
8. Moffatt, M. F., Gut, I. G., Demenais, F., Strachan, D. P., Bouzigon, E., Heath, S., and Cookson, W. O. A large-scale, consortium-based genomewide association study of asthma. New England Journal of Medicine. 2010; 363(13): 1211–1221.
9. Demenais, F., Margaritte-Jeannin, P., Barnes, K. C., Cookson, W. O., Altmüller, J., Ang, W., and Moffatt, M. F. Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nature Genetics. 2018; 50(1): 42–53.
10. Lappalainen, T., Sammeth, M., Friedländer, M. R., 't Hoen, P. A. C., Monlong, J., Rivas, M. A., and Dermitzakis, E. T. Transcriptome and genome sequencing uncovers functional variation in humans. Nature. 2017; 501(7468): 506–511.
11. Tantisira, K. G., Lasky-Su, J., Harada, M., Murphy, A., and Litonjua, A. A. Genomewide association study of pharmacogenetic response to inhaled β2-agonists in asthma. Journal of Allergy and Clinical Immunology. 2011; 127(2): 530–537.
12. Hawkins, G. A., Tantisira, K., Meyers, D. A., and Lazarus, R. Pharmacogenetic studies of asthma: the times they are a-changin. Pharmacogenomics. 2012; 13(9): 1139–1148.
13. Wechsler, M. E., Lehman, E., Lazarus, S. C., Lemanske Jr, R. F., and Boushey, H. A. Beta-agonist use and asthma control: The role of pharmacogenetic variation. Respiratory Research. 2009; 10: 108.
14. Klotsman, M., York, T. P., Pillai, S. G., Vargas-Irwin, C., and Ashley-Koch, A. Pharmacogenetics of asthma: a systematic review and meta-analysis. Human Genomics. 2007; 2(2).
15. Zhang, Y., Zheng, L., Guo, J., Zhuang, Q., and Wu, L. Genetic determinants of response to biologic treatments in asthma: Pharmacogenomics insights. Frontiers in Genetics. 2020; 11: 571047.
16. Sordillo, J. E., Kelly, R., Bunyavanich, S., McGeachie, M. J., and Gaffin, J. Multi-omics studies of childhood asthma: integrating the environment, genetics, and epigenetics. Journal of Allergy and Clinical Immunology. 2021; 147(3): 823–832.
17. Wechsler, M. E., Lehman, E., Lazarus, S. C., Lemanske, R. F., Boushey, H. A., Deykin, A., and Israel, E. Beta-adrenergic receptor polymorphisms and response to salmeterol. American Journal of Respiratory and Critical Care Medicine. 2009; 179(4): 323–329.
18. Tantisira, K. G., Lake, S., Silverman, E. S., Palmer, L. J., Lazarus, R., Silverman, E. K., and Weiss, S. T. Corticosteroid pharmacogenetics: association of sequence variants in CRHR1 with improved lung function in asthmatics treated with inhaled corticosteroids. Human Molecular Genetics. 2004; 13(13): 1353–1359.
19. Israel, E., et. al. The effect of polymorphisms of the beta2-adrenergic receptor on the response to regular use of albuterol in asthma. American Journal of Respiratory and Critical Care Medicine. 2000; 162(1): 75–80.
20. Drysdale, C. M., McGraw, D. W., Stack, C. B., Stephens, J. C., Judson, R. S., Nandabalan, K., Arnold, K., Ruano, G., and Liggett, S. B. Complex promoter and coding region beta 2-adrenergic receptor haplotypes alter receptor expression and predict in vivo responsiveness. Proceedings of the National Academy of Sciences. 2000; 97(19): 10483–10488.
21. Leung, D. Y., Hamid, Q., Vottero, A., Szefler, S. J., Surs, W., Minshall, E., Chrousos, G. P., and Klemm, D. J. Association of glucocorticoid insensitivity with increased expression of glucocorticoid receptor β. Journal of Experimental Medicine. 1997; 186(9): 1567–1574.
22. Tantisira, K. G., et. al. Genomewide association between GLCCI1 and response to glucocorticoid therapy in asthma. New England Journal of Medicine. 2011; 365(13): 1173–1183.
23. Tantisira, K. G., Lasky-Su, J., Harada, M., Murphy, A., Litonjua, A. A., Himes, B. E., and Weiss, S. T. Genomewide association scan linked to lung function and clinical outcomes in asthma. New England Journal of Medicine. 2011; 363(13): 1210-1219.
24. Sampson, A. P., Green, C. P., Price, J. F., Yea, C. M., and Lee, T. H. Leukotriene and prostanoid pathways in asthma. Journal of Allergy and Clinical Immunology. 2000; 106(3): S97–S104.
25. Drazen, J. M., Yandava, C. N., Dube, L., Szczerback, N., Hippensteel, R., Pillari, A., Israel, E., and Schork, N. J. Pharmacogenetic association between ALOX5 promoter genotype and the response to anti-asthma treatment. Nature Genetics. 1999; 22(2): 168–170.
26. Ortega, H. G., Liu, M. C., Pavord, I. D., Brusselle, G. G., FitzGerald, J. M., Chetta, A., Humbert, M., Katz, L. E., Keene, O. N., Yancey, S. W., Chanez, P., and Investigators of the DREAM Study. Mepolizumab treatment in patients with severe eosinophilic asthma. New England Journal of Medicine. 2014; 371(13): 1198–1207.
27. Hershey, G. K., Friedrich, M. F., Esswein, L. A., Thomas, M. L., and Chatila, T. A. The association of atopy with a gain-of-function mutation in the alpha subunit of the interleukin-4 receptor. New England Journal of Medicine. 1997; 337(24): 1720–1725.
28. Moffatt, M. F., et. al. Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma. Nature. 2007; 448(7152): 470–473.
29. Castro-Rodriguez, J. A., Forno, E., Celedón, J. C., and Gignoux, C. R. Asthma genetics and genomics 2020: New insights and future directions. Current Opinion in Pulmonary Medicine. 2020; 26(1): 36–42.
30. Yick, C. Y., Ferreira, D. S., Annunziato, F., and Barnes, P. J. Advances in asthma genetics and epigenetics: Pathogenesis to precision medicine. European Respiratory Review. 2021; 30(161): 210093.
31. Nicodemus-Johnson, J., Myers, R. A., Sakabe, N. J., Sobreira, D. R., Hogarth, D. K., Naureckas, E. T., and Ober, C. DNA methylation in lung cells is associated with asthma endotypes and genetic risk. The Journal of Allergy and Clinical Immunology. 2016; 138(6): 1836–1848.
32. Modena, B. D., Bleecker, E. R., Busse, W. W., Erzurum, S. C., Gaston, B. M., Jarjour, N. N., and Fahy, J. V. Gene expression correlated with severe asthma characteristics reveals heterogeneous mechanisms of severe disease. American Journal of Respiratory and Critical Care Medicine. 2017; 195(11): 1449–1463.
33. Vieira Braga, F. A., Kar, G., Berg, M., Carpaij, O. A., Polanski, K., Simon, L. M., ... and Teichmann, S. A. A cellular census of human lungs identifies novel cell states in health and asthma. Nature Medicine. 2019; 25(7): 1153–1163.
34. Jackson, D. J., Makrinioti, H., Rana, B. M. J., Shamji, B. W., Trujillo-Torralbo, M. B., Footitt, J., and Edwards, M. R. Single-cell analysis of airway cells in children with asthma reveals a shift toward innate immune responses. The Journal of Allergy and Clinical Immunology. 2020; 145(5): 1297–1307.
35. Bel, E. H., Wenzel, S. E., Thompson, P. J., Prazma, C. M., Keene, O. N., Yancey, S. W., and Ortega, H. G. Oral glucocorticoid-sparing effect of mepolizumab in eosinophilic asthma. New England Journal of Medicine. 2014; 371(13): 1189-1197.
36. Ortega, H. G., Liu, M. C., Pavord, I. D., Brusselle, G. G., FitzGerald, J. M., Chetta, A., and Humbert, M. Mepolizumab treatment in patients with severe eosinophilic asthma. New England Journal of Medicine. 2014; 371(13): 1198-1207.
37. Molfino, N. A., Gossage, D., Kolbeck, R., Parker, J. M., Geba, G. P., and Aziz, I. Targeting IL-5 or eosinophils for asthma treatment: biomarkers, blood eosinophils, and beyond. Journal of Allergy and Clinical Immunology. 2022; 149(3): 793-804.
38. Menzies-Gow, A., Corren, J., Bourdin, A., Chupp, G., Israel, E., Wechsler, M. E., and Colice, G. Tezepelumab in adults and adolescents with severe, uncontrolled asthma. New England Journal of Medicine. 2021; 384(19): 1800-1809.
39. Tantisira, K. G., Lake, S., Silverman, E. S., Palmer, L. J., Lazarus, R., Silverman, E. K., and Weiss, S. T. Corticosteroid pharmacogenetics: Association of sequence variants in CRHR1 with improved lung function in asthmatics treated with inhaled corticosteroids. Human Molecular Genetics. 2011; 13(13): 1353–1359.
40. Ortega, V. E., Meyers, D. A., and Bleecker, E. R. Asthma pharmacogenetics and the development of genetic profiles for personalized medicine. Pharmacogenomics and Personalized Medicine. 2015; 8: 9–22.
41. Agache, I., Song, Y., Posso, M., Alonso-Coello, P., and Akdis, C. Biologicals for severe asthma: A systematic review and network meta-analysis. Allergy. 2022; 77(5): 1411-1422.
42. Wechsler, M. E., Kelley, J. M., Boyd, I. O., Dutile, S., Marigowda, G., Kirsch, I., and Kaptchuk, T. J. Personalized medicine and genetic approaches to asthma therapy. Current Opinion in Pulmonary Medicine. 2019; 25(1): 86–93.
43. Sharma, S., Guleria, R., Ghosh, B., and Aggarwal, A. N. Pharmacogenomics in asthma: Promises, challenges, and future directions. Frontiers in Pharmacology. 2021; 12: 638343.
44. Manolio, T. A., Chisholm, R. L., Ozenberger, B., Roden, D. M., Williams, M. S., Wilson, R., and Ginsburg, G. S. Implementing genomic medicine in the clinic: The future is here. Genetics in Medicine. 2019; 21(4): 767–774.
45. Zhou, X., Qiu, Y., Zhao, P., and Li, Q. Integration of pharmacogenomics into clinical practice: Opportunities and challenges for asthma therapy. Frontiers in Genetics. 2021; 12: 655184.
46. Liao, K. P., Kurreeman, F., Li, G., Cui, J., Huang, J., Glass, R. J., and Plenge, R. M. Pharmacogenomics and its potential application in asthma and allergy therapy. Pharmacogenomics Journal. 2022; 22(2): 87–96.
47. FitzGerald, J. M., Lemiere, C., Lougheed, M. D., Ducharme, F. M., Dell, S. D., Ramsey, C., and Boulet, L. P. Severe asthma: Clinical management and research priorities. Canadian Journal of Respiratory, Critical Care, and Sleep Medicine. 2022; 6(2): 67-76.
48. Sundar, K. M., Soni, M., and Comellas, A. Application of machine learning in asthma management: Recent advances and future directions. Respiratory Research. 2023; 24(1): 89.
49. Zhao, J., Jiang, P., Zhang, Y., and Wang, Z. Machine learning-based integration of multi-omics data for the prediction of asthma severity. Frontiers in Genetics. 2021; 12: 678574.
50. Pividori, M., Schoettler, N., Nicolae, D. L., Ober, C., and Im, H. K. Shared and distinct genetic risk factors for childhood-onset and adult-onset asthma: genome-wide and transcriptome-wide studies. The Lancet Respiratory Medicine. 2019; 7(6): 509-522.
51. Chung, K. F., Wenzel, S. E., Brozek, J. L., Bush, A., Castro, M., Sterk, P. J., and Teague, W. G. International ERS/ATS guidelines on definition, evaluation, and treatment of severe asthma. European Respiratory Journal. 2022; 59(6): 2102919.
52. Kauppi, P., Linna, M., Martikainen, J., and Haahtela, T. Digital health interventions and asthma self-management: Opportunities and challenges. Journal of Asthma and Allergy. 2023; 16: 279–292.