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中国汉族人群 ADIPOQ 、PPARG 和 TNF 基因变异与阻塞性睡眠呼吸暂停的联合关联
Authors Li J, Lv Q, Sun H , Yang Y, Jiao X, Yang S, Yu H, Qin Y
Received 7 October 2021
Accepted for publication 9 February 2022
Published 3 March 2022 Volume 2022:14 Pages 363—372
DOI https://doi.org/10.2147/NSS.S343205
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Prof. Dr. Ahmed BaHammam
Purpose: Obstructive sleep apnea (OSA) is a common chronic polygenic disease. Multiple genetic markers associated with OSA have been identified by genome-wide association studies. Here, we aimed to construct a polygenic risk score (PRS) and examine the association with the presence of OSA in a Chinese Han Population.
Patients and Methods: This study included 1057 individuals who were genotyped for nine susceptibility loci from three genes (ADIPOQ, PPARG , and TNF ), from which each individual’s PRS was calculated by summing the number of risk alleles. The associations between PRS and OSA were determined by logistic regression analyses. Model discrimination was assessed by a receiver operating characteristic (ROC) curve using bootstrapping with 1000 resamples.
Results: The subjects included 874 with OSA and 183 controls. A higher PRS was associated with an increased apnea-hypopnea index (AHI). The PRS was an important risk factor for the development of OSA (OR = 1.237 per SD, P = 0.030). Subjects with higher PRS had a 2.88-fold (95% CI: 1.393– 5.955, P = 0.004) and 5.402-fold (95% CI: 2.311– 12.624, P < 0.001) greater risk for having OSA and moderate-to-severe OSA, respectively, compared with those with lower genetic risk. More importantly, compared with determination of risk based solely on clinical factors, addition of the PRS increased discriminatory accuracy for both OSA (AUC from 0.75 to 0.78, P = 0.02) and moderate-to-severe OSA (AUC from 0.80 to 0.83, P = 0.02).
Conclusion: Our study suggests that the PRS is independently associated with AHI and OSA. Combining PRS with conventional risk factors could improve the discrimination of OSA.
Keywords: polygenic risk score, apnea-hypopnea index, single nucleotide polymorphisms, discriminatory accuracy