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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...

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Autores principales: Hwang, Hyeon Seok, Hong, Kyung-Won, Kim, Jin Sug, Kim, Yang Gyun, Moon, Ju Young, Jeong, Kyung Hwan, Lee, Sang Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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