Risk Prediction of Chronic Rhinosinusitis with or without Nasal Polyps in Taiwanese Population Using Polygenic Risk Score for Nasal Polyps

Author:

Jiang Rong-San1234ORCID,Chen I-Chieh1ORCID,Chen Yi-Ming1456789ORCID,Hsiao Tzu-Hung11011,Chen Yi-Chen1ORCID

Affiliation:

1. Departments of Medical Research, Taichung Veterans General Hospital, Taichung 407219, Taiwan

2. Departments of Otolaryngology, Taichung Veterans General Hospital, Taichung 407219, Taiwan

3. School of Medicine, Chung Shan Medical University, Taichung 402306, Taiwan

4. RongHsing Research Center for Translational Medicine, National Chung Hsing University, Taichung 402202, Taiwan

5. Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 402202, Taiwan

6. Division of Allergy, Immunology and Rheumatology, Taichung Veterans General Hospital, Taichung 407219, Taiwan

7. School of Medicine, National Yang-Ming Chiao Tung University, Taipei 112304, Taiwan

8. Institute of Biomedical Science, National Chung Hsing University, Taichung 402202, Taiwan

9. Precision Medicine Research Center, College of Medicine, National Chung Hsing University, Taichung 402202, Taiwan

10. Department of Public Health, Fu Jen Catholic University, New Taipei City 242062, Taiwan

11. Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung 402202, Taiwan

Abstract

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 (p = 0.003) and by 2.32 at the highest quintile for CRSwNP (p = 0.002). In addition, the odds for CRSwNP increased by 3.01 times in female CRSwNP patients (p = 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.

Funder

Academia Sinica

Publisher

MDPI AG

Subject

General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

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