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Validation of Identified Susceptible Gene Variants for New-Onset Diabetes in Renal Transplant Recipients
Genome-wide association studies (GWAS) and candidate gene approaches have identified single nucleotide polymorphisms (SNPs) associated with new-onset diabetes after renal transplantation (NODAT). We evaluated associations between NODAT and SNPs identified in previous studies. We genotyped 1102 renal...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832625/ https://www.ncbi.nlm.nih.gov/pubmed/31623129 http://dx.doi.org/10.3390/jcm8101696 |
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author | Hwang, Hyeon Seok Hong, Kyung-Won Kim, Jin Sug Kim, Yang Gyun Moon, Ju Young Jeong, Kyung Hwan Lee, Sang Ho |
author_facet | Hwang, Hyeon Seok Hong, Kyung-Won Kim, Jin Sug Kim, Yang Gyun Moon, Ju Young Jeong, Kyung Hwan Lee, Sang Ho |
author_sort | Hwang, Hyeon Seok |
collection | PubMed |
description | Genome-wide association studies (GWAS) and candidate gene approaches have identified single nucleotide polymorphisms (SNPs) associated with new-onset diabetes after renal transplantation (NODAT). We evaluated associations between NODAT and SNPs identified in previous studies. We genotyped 1102 renal transplant recipients from the Korean Organ Transplantation Registry (KOTRY) database; 13 SNPs were assessed for associations with NODAT (occurring in 254 patients; 23.0%), within one year after transplantation. The frequency of the T allele at KCNQ1 rs2237892 was significantly lower in patients with NODAT compared to control patients (0.30 vs. 0.39; p = 8.5 × 10(−5)). The T allele at rs2237892 was significantly associated with decreased risk of NODAT after adjusting for multiple variables, compared to the C allele (OR 0.63, 95% CI 0.51–0.79; p = 5.5 × 10(−5)). Dominant inheritance modeling showed that CT/TT genotypes were associated with a lower risk for development of NODAT (OR 0.56, 95% CI 0.42–0.76; p = 2.0 × 10(−4)) compared to the CC genotype. No other SNPs were associated with NODAT. Our study validated the protective effect of T allele at KCNQ1 rs2237892 on the development of NODAT in a large cohort of renal transplant recipients. Our findings on susceptibility variants might be a useful tool to predict NODAT development after renal transplantation. |
format | Online Article Text |
id | pubmed-6832625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68326252019-11-25 Validation of Identified Susceptible Gene Variants for New-Onset Diabetes in Renal Transplant Recipients Hwang, Hyeon Seok Hong, Kyung-Won Kim, Jin Sug Kim, Yang Gyun Moon, Ju Young Jeong, Kyung Hwan Lee, Sang Ho J Clin Med Article Genome-wide association studies (GWAS) and candidate gene approaches have identified single nucleotide polymorphisms (SNPs) associated with new-onset diabetes after renal transplantation (NODAT). We evaluated associations between NODAT and SNPs identified in previous studies. We genotyped 1102 renal transplant recipients from the Korean Organ Transplantation Registry (KOTRY) database; 13 SNPs were assessed for associations with NODAT (occurring in 254 patients; 23.0%), within one year after transplantation. The frequency of the T allele at KCNQ1 rs2237892 was significantly lower in patients with NODAT compared to control patients (0.30 vs. 0.39; p = 8.5 × 10(−5)). The T allele at rs2237892 was significantly associated with decreased risk of NODAT after adjusting for multiple variables, compared to the C allele (OR 0.63, 95% CI 0.51–0.79; p = 5.5 × 10(−5)). Dominant inheritance modeling showed that CT/TT genotypes were associated with a lower risk for development of NODAT (OR 0.56, 95% CI 0.42–0.76; p = 2.0 × 10(−4)) compared to the CC genotype. No other SNPs were associated with NODAT. Our study validated the protective effect of T allele at KCNQ1 rs2237892 on the development of NODAT in a large cohort of renal transplant recipients. Our findings on susceptibility variants might be a useful tool to predict NODAT development after renal transplantation. MDPI 2019-10-16 /pmc/articles/PMC6832625/ /pubmed/31623129 http://dx.doi.org/10.3390/jcm8101696 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hwang, Hyeon Seok Hong, Kyung-Won Kim, Jin Sug Kim, Yang Gyun Moon, Ju Young Jeong, Kyung Hwan Lee, Sang Ho Validation of Identified Susceptible Gene Variants for New-Onset Diabetes in Renal Transplant Recipients |
title | Validation of Identified Susceptible Gene Variants for New-Onset Diabetes in Renal Transplant Recipients |
title_full | Validation of Identified Susceptible Gene Variants for New-Onset Diabetes in Renal Transplant Recipients |
title_fullStr | Validation of Identified Susceptible Gene Variants for New-Onset Diabetes in Renal Transplant Recipients |
title_full_unstemmed | Validation of Identified Susceptible Gene Variants for New-Onset Diabetes in Renal Transplant Recipients |
title_short | Validation of Identified Susceptible Gene Variants for New-Onset Diabetes in Renal Transplant Recipients |
title_sort | validation of identified susceptible gene variants for new-onset diabetes in renal transplant recipients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832625/ https://www.ncbi.nlm.nih.gov/pubmed/31623129 http://dx.doi.org/10.3390/jcm8101696 |
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