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The Variant rs1784042 of the SIDT2 Gene is Associated with Metabolic Syndrome through Low HDL-c Levels in a Mexican Population
The Mexican population has one of the highest prevalences of metabolic syndrome (MetS) worldwide. The aim of this study was to investigate the association of single-nucleotide polymorphisms (SNPs) with MetS and its components. First, we performed a pilot Genome-wide association study (GWAS) scan on...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602182/ https://www.ncbi.nlm.nih.gov/pubmed/33066450 http://dx.doi.org/10.3390/genes11101192 |
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author | León-Reyes, Guadalupe Rivera-Paredez, Berenice López, Juan Carlos Fernandez Ramírez-Salazar, Eric G. Aquino-Gálvez, Arnoldo Gallegos-Carrillo, Katia Denova-Gutiérrez, Edgar Salmerón, Jorge Velázquez-Cruz, Rafael |
author_facet | León-Reyes, Guadalupe Rivera-Paredez, Berenice López, Juan Carlos Fernandez Ramírez-Salazar, Eric G. Aquino-Gálvez, Arnoldo Gallegos-Carrillo, Katia Denova-Gutiérrez, Edgar Salmerón, Jorge Velázquez-Cruz, Rafael |
author_sort | León-Reyes, Guadalupe |
collection | PubMed |
description | The Mexican population has one of the highest prevalences of metabolic syndrome (MetS) worldwide. The aim of this study was to investigate the association of single-nucleotide polymorphisms (SNPs) with MetS and its components. First, we performed a pilot Genome-wide association study (GWAS) scan on a sub-sample derived from the Health Workers Cohort Study (HWCS) (n = 411). Based on GWAS results, we selected the rs1784042 and rs17120425 SNPs in the SIDT1 transmembrane family member 2 (SIDT2) gene for replication in the entire cohort (n = 1963), using predesigned TaqMan assays. We observed a prevalence of MetS in the HWCS of 52.6%. The minor allele frequency for the variant rs17120425 was 10% and 29% for the rs1784042. The SNP rs1784042 showed an overall association with MetS (OR = 0.82, p = 0.01) and with low levels of high-density lipoprotein (HDL-c) (odds ratio (OR) = 0.77, p = 0.001). The SNP rs17120425 had a significant association with type 2 diabetes (T2D) risk in the overall population (OR = 1.39, p = 0.033). Our results suggest an association of the rs1784042 and rs17120425 variants with MetS, through different mechanisms in the Mexican population. Further studies in larger samples and other populations are required to validate these findings and the relevance of these SNPs in MetS. |
format | Online Article Text |
id | pubmed-7602182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76021822020-11-01 The Variant rs1784042 of the SIDT2 Gene is Associated with Metabolic Syndrome through Low HDL-c Levels in a Mexican Population León-Reyes, Guadalupe Rivera-Paredez, Berenice López, Juan Carlos Fernandez Ramírez-Salazar, Eric G. Aquino-Gálvez, Arnoldo Gallegos-Carrillo, Katia Denova-Gutiérrez, Edgar Salmerón, Jorge Velázquez-Cruz, Rafael Genes (Basel) Article The Mexican population has one of the highest prevalences of metabolic syndrome (MetS) worldwide. The aim of this study was to investigate the association of single-nucleotide polymorphisms (SNPs) with MetS and its components. First, we performed a pilot Genome-wide association study (GWAS) scan on a sub-sample derived from the Health Workers Cohort Study (HWCS) (n = 411). Based on GWAS results, we selected the rs1784042 and rs17120425 SNPs in the SIDT1 transmembrane family member 2 (SIDT2) gene for replication in the entire cohort (n = 1963), using predesigned TaqMan assays. We observed a prevalence of MetS in the HWCS of 52.6%. The minor allele frequency for the variant rs17120425 was 10% and 29% for the rs1784042. The SNP rs1784042 showed an overall association with MetS (OR = 0.82, p = 0.01) and with low levels of high-density lipoprotein (HDL-c) (odds ratio (OR) = 0.77, p = 0.001). The SNP rs17120425 had a significant association with type 2 diabetes (T2D) risk in the overall population (OR = 1.39, p = 0.033). Our results suggest an association of the rs1784042 and rs17120425 variants with MetS, through different mechanisms in the Mexican population. Further studies in larger samples and other populations are required to validate these findings and the relevance of these SNPs in MetS. MDPI 2020-10-14 /pmc/articles/PMC7602182/ /pubmed/33066450 http://dx.doi.org/10.3390/genes11101192 Text en © 2020 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 León-Reyes, Guadalupe Rivera-Paredez, Berenice López, Juan Carlos Fernandez Ramírez-Salazar, Eric G. Aquino-Gálvez, Arnoldo Gallegos-Carrillo, Katia Denova-Gutiérrez, Edgar Salmerón, Jorge Velázquez-Cruz, Rafael The Variant rs1784042 of the SIDT2 Gene is Associated with Metabolic Syndrome through Low HDL-c Levels in a Mexican Population |
title | The Variant rs1784042 of the SIDT2 Gene is Associated with Metabolic Syndrome through Low HDL-c Levels in a Mexican Population |
title_full | The Variant rs1784042 of the SIDT2 Gene is Associated with Metabolic Syndrome through Low HDL-c Levels in a Mexican Population |
title_fullStr | The Variant rs1784042 of the SIDT2 Gene is Associated with Metabolic Syndrome through Low HDL-c Levels in a Mexican Population |
title_full_unstemmed | The Variant rs1784042 of the SIDT2 Gene is Associated with Metabolic Syndrome through Low HDL-c Levels in a Mexican Population |
title_short | The Variant rs1784042 of the SIDT2 Gene is Associated with Metabolic Syndrome through Low HDL-c Levels in a Mexican Population |
title_sort | variant rs1784042 of the sidt2 gene is associated with metabolic syndrome through low hdl-c levels in a mexican population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602182/ https://www.ncbi.nlm.nih.gov/pubmed/33066450 http://dx.doi.org/10.3390/genes11101192 |
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