Qiying Zeng,1,* Wenjun Xue,2,* Zhicheng Wei,1 Hangdong Shen,1 Huajun Xu,1 Huaming Zhu,1 Jian Guan,1 Hongliang Yi,1 Yunhai Feng,2 Xinyi Li,1 Haibo Ye1 

1Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Sleep Disordered Breathing, Otorhinolaryngology Institute of Shanghai Jiao Tong University, Shanghai, 200233, People’s Republic of China; 2Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Eighth People’s Hospital Affiliated to Jiangsu University, Shanghai, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Xinyi Li; Haibo Ye, Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Sleep Disordered Breathing, Otorhinolaryngology Institute of Shanghai JiaoTong University, Shanghai, 200233, People’s Republic of China, Tel/Fax +86-2164834143, Email lixinyilixinyi123@163.com; yehaibo_2012@163.com

Background: Sleep-disordered breathing is more prevalent in individuals with allergic rhinitis (AR) than in those without AR. In addition to increased risk for sleep-disordered breathing, AR is associated with greater severity of obstructive sleep apnea (OSA) symptoms. The aim of this research study was to evaluate the association of multiple single nucleotide polymorphism (SNP) variations in AR with sleep- and breathing-related parameters in men with OSA.
Methods: Men who had complained of snoring were consecutively enrolled in the Shanghai Sleep Health Study of Shanghai Sixth People’s Hospital from 2007 to 2018. After rigorous screening, 5322 men were included in the analysis. Anthropometric, fasting biochemical, and polysomnographic parameters, along with 27 AR-associated SNPs were analyzed. The associations between AR-related genetic polymorphisms and OSA were determined via linear, binary, and multinomial logistic regression analyses.
Results: Rs12509403 had significantly positive associations with most sleep-breathing parameters. While the risk for OSA was increased by rs12509403, it was decreased by rs7717955 [odds ratio (OR) = 1.341, 95% confidence interval [CI] = 1.039– 1.732, P = 0.024; OR = 0.829, 95% CI = 0.715– 0.961, P = 0.013, respectively]. A graded increase in the risk of being in the highest quartile (Q4) vs the reference category (Q1) for sleep breathing indicators, especially REM-AHI and NREM-AHI, was identified by rs12509403 (OR = 1.496, 95% CI = 1.175– 1.904, P = 0.001; OR = 1.471, 95% CI = 1.151– 1.879, P < 0.001, respectively).
Conclusion: The association of multiple AR SNPs with OSA-related hypoxia and sleep indices provides a genetic explanation for the higher AR susceptibility of OSA patients. Understanding the AR-related genetic underpinnings of OSA may lead to more personalized treatment approaches.

Keywords: allergic rhinitis, obstructive sleep apnea, single nucleotide polymorphism, polysomnography