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Association between fibrosis-related gene polymorphism and long-term allograft outcome in renal transplant recipients

BACKGROUND: Renal allograft fibrosis is one of characteristic causes of long-term renal function loss. The purpose of our study is to investigate the association between fibrosis-related genes single nucleotide polymorphism (SNPs) and kidney function in 5 years after kidney transplantation. METHODS:...

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Autores principales: Yin, Yu, Zhang, Han, Sun, Li, Han, Qianguang, Zheng, Ming, Chen, Hao, Fei, Shuang, Tan, Ruoyun, Ju, Xiaobing, Wang, Zijie, Gu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591404/
https://www.ncbi.nlm.nih.gov/pubmed/37867197
http://dx.doi.org/10.1186/s12920-023-01686-6
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author Yin, Yu
Zhang, Han
Sun, Li
Han, Qianguang
Zheng, Ming
Chen, Hao
Fei, Shuang
Tan, Ruoyun
Ju, Xiaobing
Wang, Zijie
Gu, Min
author_facet Yin, Yu
Zhang, Han
Sun, Li
Han, Qianguang
Zheng, Ming
Chen, Hao
Fei, Shuang
Tan, Ruoyun
Ju, Xiaobing
Wang, Zijie
Gu, Min
author_sort Yin, Yu
collection PubMed
description BACKGROUND: Renal allograft fibrosis is one of characteristic causes of long-term renal function loss. The purpose of our study is to investigate the association between fibrosis-related genes single nucleotide polymorphism (SNPs) and kidney function in 5 years after kidney transplantation. METHODS: A total of 143 recipients were eligible for screening with 5-year follow-up information and SNP sequencing information from blood samples were included in this study. Minor Allele Frequency (MAF) and Hardy–Weinberg Equilibrium (HWE) analysis was conducted to identify tagger single-nucleotide polymorphisms (SNPs) and haplotypes. SNPs associated with the fifth year chronic kidney disease (CKD) staging were screened by SPSS and the “SNPassoc” package in RStudio and used for subsequent prediction model construction. RESULTS: A total of 275 renal transplant-related SNPs identified after target sequencing analysis. 64 Tagger SNPs were selected, and two SNPs (rs13969 and rs243849) were statistically significant for stage of CKD in 5 years. Finally, a model based on Gender, Age, rs1396, and rs243849 was constructed by multivariate linear regression analysis. Additionally, this model has a good performance in predicting uremia five years after kidney transplantation. CONCLUSION: Two SNPs (rs13969 and rs243849) were identified to be significantly associated with long-term renal allograft function. Based on this, a prediction model for long-term allograft function was established containing Gender, Age, rs1396, and rs243849. However, an independent cohort should be enrolled to validate the predicting performance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01686-6.
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spelling pubmed-105914042023-10-24 Association between fibrosis-related gene polymorphism and long-term allograft outcome in renal transplant recipients Yin, Yu Zhang, Han Sun, Li Han, Qianguang Zheng, Ming Chen, Hao Fei, Shuang Tan, Ruoyun Ju, Xiaobing Wang, Zijie Gu, Min BMC Med Genomics Research BACKGROUND: Renal allograft fibrosis is one of characteristic causes of long-term renal function loss. The purpose of our study is to investigate the association between fibrosis-related genes single nucleotide polymorphism (SNPs) and kidney function in 5 years after kidney transplantation. METHODS: A total of 143 recipients were eligible for screening with 5-year follow-up information and SNP sequencing information from blood samples were included in this study. Minor Allele Frequency (MAF) and Hardy–Weinberg Equilibrium (HWE) analysis was conducted to identify tagger single-nucleotide polymorphisms (SNPs) and haplotypes. SNPs associated with the fifth year chronic kidney disease (CKD) staging were screened by SPSS and the “SNPassoc” package in RStudio and used for subsequent prediction model construction. RESULTS: A total of 275 renal transplant-related SNPs identified after target sequencing analysis. 64 Tagger SNPs were selected, and two SNPs (rs13969 and rs243849) were statistically significant for stage of CKD in 5 years. Finally, a model based on Gender, Age, rs1396, and rs243849 was constructed by multivariate linear regression analysis. Additionally, this model has a good performance in predicting uremia five years after kidney transplantation. CONCLUSION: Two SNPs (rs13969 and rs243849) were identified to be significantly associated with long-term renal allograft function. Based on this, a prediction model for long-term allograft function was established containing Gender, Age, rs1396, and rs243849. However, an independent cohort should be enrolled to validate the predicting performance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01686-6. BioMed Central 2023-10-23 /pmc/articles/PMC10591404/ /pubmed/37867197 http://dx.doi.org/10.1186/s12920-023-01686-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yin, Yu
Zhang, Han
Sun, Li
Han, Qianguang
Zheng, Ming
Chen, Hao
Fei, Shuang
Tan, Ruoyun
Ju, Xiaobing
Wang, Zijie
Gu, Min
Association between fibrosis-related gene polymorphism and long-term allograft outcome in renal transplant recipients
title Association between fibrosis-related gene polymorphism and long-term allograft outcome in renal transplant recipients
title_full Association between fibrosis-related gene polymorphism and long-term allograft outcome in renal transplant recipients
title_fullStr Association between fibrosis-related gene polymorphism and long-term allograft outcome in renal transplant recipients
title_full_unstemmed Association between fibrosis-related gene polymorphism and long-term allograft outcome in renal transplant recipients
title_short Association between fibrosis-related gene polymorphism and long-term allograft outcome in renal transplant recipients
title_sort association between fibrosis-related gene polymorphism and long-term allograft outcome in renal transplant recipients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591404/
https://www.ncbi.nlm.nih.gov/pubmed/37867197
http://dx.doi.org/10.1186/s12920-023-01686-6
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