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Strategy to Estimate Sample Sizes to Justify the Association between MMP1 SNP and Osteoarthritis
Background: the impact of knee osteoarthritis (OA) poses a formidable challenge to older adults. Studies have reported that genetic factors, such as MMP1, are one of important risk factors for knee OA. Although the relationship between the genetic polymorphism of MMP1 rs1799750 and the risk of knee...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222496/ https://www.ncbi.nlm.nih.gov/pubmed/35741844 http://dx.doi.org/10.3390/genes13061084 |
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author | Kao, Chung-Cheng Hsu, Hsiang-En Lai, Jen-Chieh Chen, Hsiang-Cheng Chuang, Su-Wen Lee, Meng-Chang |
author_facet | Kao, Chung-Cheng Hsu, Hsiang-En Lai, Jen-Chieh Chen, Hsiang-Cheng Chuang, Su-Wen Lee, Meng-Chang |
author_sort | Kao, Chung-Cheng |
collection | PubMed |
description | Background: the impact of knee osteoarthritis (OA) poses a formidable challenge to older adults. Studies have reported that genetic factors, such as MMP1, are one of important risk factors for knee OA. Although the relationship between the genetic polymorphism of MMP1 rs1799750 and the risk of knee OA has been explored, conclusions have been nonunanimous and pending due to research sample sizes, one of determinants in studying genetic polymorphisms associated with disease. Objective: to establish a model to assess whether the genetic polymorphism of MMP1 rs1799750 is associated with knee OA based on an estimation of sample sizes. Methods: samples were collected from a case–control and meta-analysis study. In the case–control study, patients who underwent knee X-ray examinations based on the Kellgren–Lawrence Grading System (KL) as diagnostic criteria were recruited at the Health Examination Center of the Tri-Service General Hospital from 2015 to 2019. Gene sequencing was conducted using iPLEX Gold. Those with unsuccessful gene sequencing were excluded. Finally, there were 569 patients in the knee OA group (KL ≥ 2) and 534 participants in the control group (KL < 2). In the meta-analysis, we used the databases PubMed, EMBASE, and Cochrane to search for studies on the relationship between MMP1 rs1799750 and knee OA. Next, we adopted the trial sequential analysis (TSA) method to assess whether sample sizes were sufficient or not to determine the risk of the genetic polymorphism of MMP1 rs1799750 on knee OA in Caucasians and Asians. Results: in Caucasians, the MMP1 rs1799750 was not significantly associated with knee OA with an odds ratios (OR) of 1.10 (95% confidence interval, CI: 0.45–2.68). Some extra 8559 samples were needed to conclude this relationship in Caucasians by the TSA model. In Asians, neither our case–control study results (n = 1103) nor a combination of samples from the case–control and meta-analysis results showed an association between MMP1 rs1799750 and knee OA. The OR (95% CI) was 1.10 (0.81–1.49) in a combination of Asian samples. Some extra 5517 samples were needed to justify this relationship in Asians by the TSA model. Conclusions: this research shows that an extra 8559 and 5517 samples are needed in Caucasians and Asians, respectively, in order to justify the association between MMP1 rs1799750 and knee OA. |
format | Online Article Text |
id | pubmed-9222496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92224962022-06-24 Strategy to Estimate Sample Sizes to Justify the Association between MMP1 SNP and Osteoarthritis Kao, Chung-Cheng Hsu, Hsiang-En Lai, Jen-Chieh Chen, Hsiang-Cheng Chuang, Su-Wen Lee, Meng-Chang Genes (Basel) Article Background: the impact of knee osteoarthritis (OA) poses a formidable challenge to older adults. Studies have reported that genetic factors, such as MMP1, are one of important risk factors for knee OA. Although the relationship between the genetic polymorphism of MMP1 rs1799750 and the risk of knee OA has been explored, conclusions have been nonunanimous and pending due to research sample sizes, one of determinants in studying genetic polymorphisms associated with disease. Objective: to establish a model to assess whether the genetic polymorphism of MMP1 rs1799750 is associated with knee OA based on an estimation of sample sizes. Methods: samples were collected from a case–control and meta-analysis study. In the case–control study, patients who underwent knee X-ray examinations based on the Kellgren–Lawrence Grading System (KL) as diagnostic criteria were recruited at the Health Examination Center of the Tri-Service General Hospital from 2015 to 2019. Gene sequencing was conducted using iPLEX Gold. Those with unsuccessful gene sequencing were excluded. Finally, there were 569 patients in the knee OA group (KL ≥ 2) and 534 participants in the control group (KL < 2). In the meta-analysis, we used the databases PubMed, EMBASE, and Cochrane to search for studies on the relationship between MMP1 rs1799750 and knee OA. Next, we adopted the trial sequential analysis (TSA) method to assess whether sample sizes were sufficient or not to determine the risk of the genetic polymorphism of MMP1 rs1799750 on knee OA in Caucasians and Asians. Results: in Caucasians, the MMP1 rs1799750 was not significantly associated with knee OA with an odds ratios (OR) of 1.10 (95% confidence interval, CI: 0.45–2.68). Some extra 8559 samples were needed to conclude this relationship in Caucasians by the TSA model. In Asians, neither our case–control study results (n = 1103) nor a combination of samples from the case–control and meta-analysis results showed an association between MMP1 rs1799750 and knee OA. The OR (95% CI) was 1.10 (0.81–1.49) in a combination of Asian samples. Some extra 5517 samples were needed to justify this relationship in Asians by the TSA model. Conclusions: this research shows that an extra 8559 and 5517 samples are needed in Caucasians and Asians, respectively, in order to justify the association between MMP1 rs1799750 and knee OA. MDPI 2022-06-17 /pmc/articles/PMC9222496/ /pubmed/35741844 http://dx.doi.org/10.3390/genes13061084 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kao, Chung-Cheng Hsu, Hsiang-En Lai, Jen-Chieh Chen, Hsiang-Cheng Chuang, Su-Wen Lee, Meng-Chang Strategy to Estimate Sample Sizes to Justify the Association between MMP1 SNP and Osteoarthritis |
title | Strategy to Estimate Sample Sizes to Justify the Association between MMP1 SNP and Osteoarthritis |
title_full | Strategy to Estimate Sample Sizes to Justify the Association between MMP1 SNP and Osteoarthritis |
title_fullStr | Strategy to Estimate Sample Sizes to Justify the Association between MMP1 SNP and Osteoarthritis |
title_full_unstemmed | Strategy to Estimate Sample Sizes to Justify the Association between MMP1 SNP and Osteoarthritis |
title_short | Strategy to Estimate Sample Sizes to Justify the Association between MMP1 SNP and Osteoarthritis |
title_sort | strategy to estimate sample sizes to justify the association between mmp1 snp and osteoarthritis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222496/ https://www.ncbi.nlm.nih.gov/pubmed/35741844 http://dx.doi.org/10.3390/genes13061084 |
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