Cargando…

Model of genetic and environmental factors associated with type 2 diabetes mellitus in a Chinese Han population

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a metabolic disorder which accounts for high morbidity and mortality due to complications like renal failure, amputations, cardiovascular disease, and cerebrovascular events. METHODS: We collected medical reports, lifestyle details, and blood samples of...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Zheng, Ye, Cheng-yin, Zhao, Tian-Yu, Yang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325035/
https://www.ncbi.nlm.nih.gov/pubmed/32600448
http://dx.doi.org/10.1186/s12889-020-09130-5
_version_ 1783552076563873792
author Li, Zheng
Ye, Cheng-yin
Zhao, Tian-Yu
Yang, Lei
author_facet Li, Zheng
Ye, Cheng-yin
Zhao, Tian-Yu
Yang, Lei
author_sort Li, Zheng
collection PubMed
description BACKGROUND: Type 2 diabetes mellitus (T2DM) is a metabolic disorder which accounts for high morbidity and mortality due to complications like renal failure, amputations, cardiovascular disease, and cerebrovascular events. METHODS: We collected medical reports, lifestyle details, and blood samples of individuals and used the polymerase chain reaction-ligase detection reaction method to genotype the SNPs, and a visit was conducted in August 2016 to obtain the incidence of Type 2 diabetes in the 2113 eligible people. To explore which genes and environmental factors are associated with type 2 diabetes mellitus in a Chinese Han population, we used elastic net to build a model, which is to explain which variables are strongly associated with T2DM, rather than predict the occurrence of T2DM. RESULT: The genotype of the additive of rs964184, together with the history of hypertension, regular intake of meat and waist circumference, increased the risk of T2DM (adjusted OR = 2.38, p = 0.042; adjusted OR = 3.31, p < 0.001; adjusted OR = 1.05, p < 0.001). The TT genotype of the additive and recessive models of rs12654264, the CC genotype of the additive and dominant models of rs2065412, the TT genotype of the additive and dominant models of rs4149336, together with the degree of education, regular exercise, reduced the risk of T2DM (adjusted OR = 0.46, p = 0.017; adjusted OR = 0.53, p = 0.021; adjusted OR = 0.59, p = 0.021; adjusted OR = 0.57, p = 0.01; adjusted OR = 0.59, p = 0.021; adjusted OR = 0.57, p = 0.01; adjusted OR = 0.50, p = 0.007; adjusted OR = 0.80, p = 0.032) . CONCLUSION: Eventually we identified a set of SNPs and environmental factors: rs5805 in the SLC12A3, rs12654264 in the HMGCR, rs2065412 and rs414936 in the ABCA1, rs96418 in the ZPR1 gene, waistline, degree of education, exercise frequency, hypertension, and the intake of meat. Although there was no interaction between these variables, people with two risk factors had a higher risk of T2DM than those only having one factor. These results provide the theoretical basis for gene and other risk factors screening to prevent T2DM.
format Online
Article
Text
id pubmed-7325035
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-73250352020-06-30 Model of genetic and environmental factors associated with type 2 diabetes mellitus in a Chinese Han population Li, Zheng Ye, Cheng-yin Zhao, Tian-Yu Yang, Lei BMC Public Health Research Article BACKGROUND: Type 2 diabetes mellitus (T2DM) is a metabolic disorder which accounts for high morbidity and mortality due to complications like renal failure, amputations, cardiovascular disease, and cerebrovascular events. METHODS: We collected medical reports, lifestyle details, and blood samples of individuals and used the polymerase chain reaction-ligase detection reaction method to genotype the SNPs, and a visit was conducted in August 2016 to obtain the incidence of Type 2 diabetes in the 2113 eligible people. To explore which genes and environmental factors are associated with type 2 diabetes mellitus in a Chinese Han population, we used elastic net to build a model, which is to explain which variables are strongly associated with T2DM, rather than predict the occurrence of T2DM. RESULT: The genotype of the additive of rs964184, together with the history of hypertension, regular intake of meat and waist circumference, increased the risk of T2DM (adjusted OR = 2.38, p = 0.042; adjusted OR = 3.31, p < 0.001; adjusted OR = 1.05, p < 0.001). The TT genotype of the additive and recessive models of rs12654264, the CC genotype of the additive and dominant models of rs2065412, the TT genotype of the additive and dominant models of rs4149336, together with the degree of education, regular exercise, reduced the risk of T2DM (adjusted OR = 0.46, p = 0.017; adjusted OR = 0.53, p = 0.021; adjusted OR = 0.59, p = 0.021; adjusted OR = 0.57, p = 0.01; adjusted OR = 0.59, p = 0.021; adjusted OR = 0.57, p = 0.01; adjusted OR = 0.50, p = 0.007; adjusted OR = 0.80, p = 0.032) . CONCLUSION: Eventually we identified a set of SNPs and environmental factors: rs5805 in the SLC12A3, rs12654264 in the HMGCR, rs2065412 and rs414936 in the ABCA1, rs96418 in the ZPR1 gene, waistline, degree of education, exercise frequency, hypertension, and the intake of meat. Although there was no interaction between these variables, people with two risk factors had a higher risk of T2DM than those only having one factor. These results provide the theoretical basis for gene and other risk factors screening to prevent T2DM. BioMed Central 2020-06-29 /pmc/articles/PMC7325035/ /pubmed/32600448 http://dx.doi.org/10.1186/s12889-020-09130-5 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Li, Zheng
Ye, Cheng-yin
Zhao, Tian-Yu
Yang, Lei
Model of genetic and environmental factors associated with type 2 diabetes mellitus in a Chinese Han population
title Model of genetic and environmental factors associated with type 2 diabetes mellitus in a Chinese Han population
title_full Model of genetic and environmental factors associated with type 2 diabetes mellitus in a Chinese Han population
title_fullStr Model of genetic and environmental factors associated with type 2 diabetes mellitus in a Chinese Han population
title_full_unstemmed Model of genetic and environmental factors associated with type 2 diabetes mellitus in a Chinese Han population
title_short Model of genetic and environmental factors associated with type 2 diabetes mellitus in a Chinese Han population
title_sort model of genetic and environmental factors associated with type 2 diabetes mellitus in a chinese han population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325035/
https://www.ncbi.nlm.nih.gov/pubmed/32600448
http://dx.doi.org/10.1186/s12889-020-09130-5
work_keys_str_mv AT lizheng modelofgeneticandenvironmentalfactorsassociatedwithtype2diabetesmellitusinachinesehanpopulation
AT yechengyin modelofgeneticandenvironmentalfactorsassociatedwithtype2diabetesmellitusinachinesehanpopulation
AT zhaotianyu modelofgeneticandenvironmentalfactorsassociatedwithtype2diabetesmellitusinachinesehanpopulation
AT yanglei modelofgeneticandenvironmentalfactorsassociatedwithtype2diabetesmellitusinachinesehanpopulation