Machine Learning Approaches for Predicting Bisphosphonate-Related Osteonecrosis in Women with Osteoporosis Using VEGFA Gene Polymorphisms
- Title
- Machine Learning Approaches for Predicting Bisphosphonate-Related Osteonecrosis in Women with Osteoporosis Using VEGFA Gene Polymorphisms
- Author
- 정지은
- Keywords
- bisphosphonate-related osteonecrosis; VEGFA; gene polymorphism; machine learning
- Issue Date
- 2021-06
- Publisher
- MDPI
- Citation
- JOURNAL OF PERSONALIZED MEDICINE, v. 11, no. 6, Article no. 541, 10pp
- Abstract
- Objective: This nested case-control study aimed to investigate the effects of VEGFA polymorphisms on the development of bisphosphonate-related osteonecrosis of the jaw (BRONJ) in women with osteoporosis. Methods: Eleven single nucleotide polymorphisms (SNPs) of the VEGFA were assessed in a total of 125 patients. Logistic regression was performed for multivariable analysis. Machine learning algorithms, namely, fivefold cross-validated multivariate logistic regression, elastic net, random forest, and support vector machine, were developed to predict risk factors for BRONJ occurrence. Area under the receiver-operating curve (AUROC) analysis was conducted to assess clinical performance. Results: The VEGFA rs881858 was significantly associated with BRONJ development. The odds of BRONJ development were 6.45 times (95% CI, 1.69-24.65) higher among carriers of the wild-type rs881858 allele compared with variant homozygote carriers after adjusting for covariates. Additionally, variant homozygote (GG) carriers of rs10434 had higher odds than those with wild-type allele (OR, 3.16). Age ˃= 65 years (OR, 16.05) and bisphosphonate exposure ˃= 36 months (OR, 3.67) were also significant risk factors for BRONJ occurrence. AUROC values were higher than 0.78 for all machine learning methods employed in this study. Conclusion: Our study showed that the BRONJ occurrence was associated with VEGFA polymorphisms in osteoporotic women.
- URI
- https://www.proquest.com/docview/2544883606?accountid=11283https://repository.hanyang.ac.kr/handle/20.500.11754/166584
- ISSN
- 2075-4426
- DOI
- 10.3390/jpm11060541
- Appears in Collections:
- COLLEGE OF PHARMACY[E](약학대학) > PHARMACY(약학과) > Articles
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