Jiang Rong-San, Chen I-Chieh, Chen Yi-Ming, Hsiao Tzu-Hung, Chen Yi-Chen
Departments of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan.
Departments of Otolaryngology, Taichung Veterans General Hospital, Taichung 407219, Taiwan.
Biomedicines. 2023 Oct 9;11(10):2729. doi: 10.3390/biomedicines11102729.
The association between single nucleotide polymorphisms and chronic rhinosinusitis (CRS) has been determined. However, it was not known whether the polygenic risk score (PRS) for nasal polyps (NP) could predict CRS with NP (CRSwNP) or without NP (CRSsNP). The aim of this study was to investigate the association between PRSs for NP and the risk of CRS with or without NP. Data from 535 individuals with CRS and 5350 control subjects in the Taiwan Precision Medicine Initiative project were collected. Four PRSs for NP, including PGS000933, PGS000934, PGS001848, and PGS002060 from UK Biobank, were tested in these participants. They were divided into four groups according to quartiles of PRSs. The logistic regression model was performed to evaluate CRSwNP and CRSsNP risk according to PRSs for NP. The PGS002060 had the highest area under the curve at 0.534 for CRSsNP prediction and at 0.588 for CRSwNP prediction. Compared to subjects in the lowest PRS category, the PGS002060 significantly increased the odds for CRSsNP by 1.48 at the highest quintile ( = 0.003) and by 2.32 at the highest quintile for CRSwNP ( = 0.002). In addition, the odds for CRSwNP increased by 3.01 times in female CRSwNP patients ( = 0.009) at the highest quintile compared with those in the lowest PRS category. The PRSs for NP developed from European populations could be applied to the Taiwanese population to predict CRS risk, especially for female CRSwNP.
单核苷酸多态性与慢性鼻窦炎（CRS）之间的关联已得到确定。然而，尚不清楚鼻息肉（NP）的多基因风险评分（PRS）是否能够预测伴有NP的CRS（CRSwNP）或不伴有NP的CRS（CRSsNP）。本研究的目的是调查NP的PRS与伴有或不伴有NP的CRS风险之间的关联。收集了台湾精准医学计划项目中535例CRS患者和5350例对照受试者的数据。在这些参与者中测试了来自英国生物银行的四个NP的PRS，包括PGS000933、PGS000934、PGS001848和PGS002060。根据PRS的四分位数将他们分为四组。采用逻辑回归模型根据NP的PRS评估CRSwNP和CRSsNP风险。PGS002060在预测CRSsNP时曲线下面积最高，为0.534，在预测CRSwNP时为0.588。与PRS类别最低的受试者相比，在最高五分位数时，PGS002060使CRSsNP的比值显著增加1.48（P = 0.003），使CRSwNP的比值在最高五分位数时增加2.32（P = 0.002）。此外，与PRS类别最低的女性CRSwNP患者相比，在最高五分位数时，女性CRSwNP患者的CRSwNP比值增加了3.01倍（P = 0.009）。源自欧洲人群的NP的PRS可应用于台湾人群以预测CRS风险，尤其是女性CRSwNP。
