Cargando…
Analysis of the interaction effect of 48 SNPs and obesity on type 2 diabetes in Chinese Hans
INTRODUCTION: Both environmental and genetic factors contribute to type 2 diabetes (T2D) risk. Dozens of T2D susceptibility loci have been identified by genome-wide association study. However, these loci account for only a small fraction of the familial T2D risk. We hypothesized that the gene-obesit...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674088/ https://www.ncbi.nlm.nih.gov/pubmed/33203726 http://dx.doi.org/10.1136/bmjdrc-2020-001638 |
_version_ | 1783611443459915776 |
---|---|
author | Liu, Jia Wang, Lu Qian, Yun Shen, Qian Chen, Hai Ma, Hongxia Dai, Juncheng Shen, Chong Jin, Guangfu Hu, Zhibin Shen, Hongbing |
author_facet | Liu, Jia Wang, Lu Qian, Yun Shen, Qian Chen, Hai Ma, Hongxia Dai, Juncheng Shen, Chong Jin, Guangfu Hu, Zhibin Shen, Hongbing |
author_sort | Liu, Jia |
collection | PubMed |
description | INTRODUCTION: Both environmental and genetic factors contribute to type 2 diabetes (T2D) risk. Dozens of T2D susceptibility loci have been identified by genome-wide association study. However, these loci account for only a small fraction of the familial T2D risk. We hypothesized that the gene-obesity interaction may contribute to the missing heritability. RESEARCH DESIGN AND METHOD: Forty-eight T2D-associated variants were genotyped using the TaqMan OpenArray Genotyping System and iPLEX Sequenom MassARRAY platform in two separate studies. Obesity was defined according to multiple indexes (body mass index (BMI), waist circumference and waist-hip ratio). Multiplicative interactions were tested using general logistic regression to assess the gene-obesity interaction effect on T2D risk among a total of 6206 Chinese Hans. RESULTS: After adjusting for the main effects of genes and obesity, as well as covariates (age, sex, smoking and alcohol consumption status), robust multiplicative interaction effects were observed between rs10811661 in CDKN2A/CDKN2B and multiple obesity indices (p ranged from 0.001 to 0.043 for BMI, waist circumference and waist-hip ratio). Obese individuals with the TT genotype had a drastically higher risk of T2D than normal weight individuals without the risk allele (OR=17.58, p<0.001). There were no significant differences between subgroups in the stratification analysis. Plausible biological explanations were established using a public database. However, there were no significant interaction effects between the other 47 single nucleotide polymorphism (SNPs) and obesity. CONCLUSION: Our findings indicated that the CDKN2A/CDKN2B gene-obesity interaction significantly increases T2D risk in Chinese Hans. The interaction effect identified in our study may help to explain some of the missing heritability in the context of T2D susceptibility. In addition, the interaction effect may play a role in the precise prevention of T2D in Chinese individuals. |
format | Online Article Text |
id | pubmed-7674088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-76740882020-11-30 Analysis of the interaction effect of 48 SNPs and obesity on type 2 diabetes in Chinese Hans Liu, Jia Wang, Lu Qian, Yun Shen, Qian Chen, Hai Ma, Hongxia Dai, Juncheng Shen, Chong Jin, Guangfu Hu, Zhibin Shen, Hongbing BMJ Open Diabetes Res Care Genetics/Genomes/Proteomics/Metabolomics INTRODUCTION: Both environmental and genetic factors contribute to type 2 diabetes (T2D) risk. Dozens of T2D susceptibility loci have been identified by genome-wide association study. However, these loci account for only a small fraction of the familial T2D risk. We hypothesized that the gene-obesity interaction may contribute to the missing heritability. RESEARCH DESIGN AND METHOD: Forty-eight T2D-associated variants were genotyped using the TaqMan OpenArray Genotyping System and iPLEX Sequenom MassARRAY platform in two separate studies. Obesity was defined according to multiple indexes (body mass index (BMI), waist circumference and waist-hip ratio). Multiplicative interactions were tested using general logistic regression to assess the gene-obesity interaction effect on T2D risk among a total of 6206 Chinese Hans. RESULTS: After adjusting for the main effects of genes and obesity, as well as covariates (age, sex, smoking and alcohol consumption status), robust multiplicative interaction effects were observed between rs10811661 in CDKN2A/CDKN2B and multiple obesity indices (p ranged from 0.001 to 0.043 for BMI, waist circumference and waist-hip ratio). Obese individuals with the TT genotype had a drastically higher risk of T2D than normal weight individuals without the risk allele (OR=17.58, p<0.001). There were no significant differences between subgroups in the stratification analysis. Plausible biological explanations were established using a public database. However, there were no significant interaction effects between the other 47 single nucleotide polymorphism (SNPs) and obesity. CONCLUSION: Our findings indicated that the CDKN2A/CDKN2B gene-obesity interaction significantly increases T2D risk in Chinese Hans. The interaction effect identified in our study may help to explain some of the missing heritability in the context of T2D susceptibility. In addition, the interaction effect may play a role in the precise prevention of T2D in Chinese individuals. BMJ Publishing Group 2020-11-17 /pmc/articles/PMC7674088/ /pubmed/33203726 http://dx.doi.org/10.1136/bmjdrc-2020-001638 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Genetics/Genomes/Proteomics/Metabolomics Liu, Jia Wang, Lu Qian, Yun Shen, Qian Chen, Hai Ma, Hongxia Dai, Juncheng Shen, Chong Jin, Guangfu Hu, Zhibin Shen, Hongbing Analysis of the interaction effect of 48 SNPs and obesity on type 2 diabetes in Chinese Hans |
title | Analysis of the interaction effect of 48 SNPs and obesity on type 2 diabetes in Chinese Hans |
title_full | Analysis of the interaction effect of 48 SNPs and obesity on type 2 diabetes in Chinese Hans |
title_fullStr | Analysis of the interaction effect of 48 SNPs and obesity on type 2 diabetes in Chinese Hans |
title_full_unstemmed | Analysis of the interaction effect of 48 SNPs and obesity on type 2 diabetes in Chinese Hans |
title_short | Analysis of the interaction effect of 48 SNPs and obesity on type 2 diabetes in Chinese Hans |
title_sort | analysis of the interaction effect of 48 snps and obesity on type 2 diabetes in chinese hans |
topic | Genetics/Genomes/Proteomics/Metabolomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674088/ https://www.ncbi.nlm.nih.gov/pubmed/33203726 http://dx.doi.org/10.1136/bmjdrc-2020-001638 |
work_keys_str_mv | AT liujia analysisoftheinteractioneffectof48snpsandobesityontype2diabetesinchinesehans AT wanglu analysisoftheinteractioneffectof48snpsandobesityontype2diabetesinchinesehans AT qianyun analysisoftheinteractioneffectof48snpsandobesityontype2diabetesinchinesehans AT shenqian analysisoftheinteractioneffectof48snpsandobesityontype2diabetesinchinesehans AT chenhai analysisoftheinteractioneffectof48snpsandobesityontype2diabetesinchinesehans AT mahongxia analysisoftheinteractioneffectof48snpsandobesityontype2diabetesinchinesehans AT daijuncheng analysisoftheinteractioneffectof48snpsandobesityontype2diabetesinchinesehans AT shenchong analysisoftheinteractioneffectof48snpsandobesityontype2diabetesinchinesehans AT jinguangfu analysisoftheinteractioneffectof48snpsandobesityontype2diabetesinchinesehans AT huzhibin analysisoftheinteractioneffectof48snpsandobesityontype2diabetesinchinesehans AT shenhongbing analysisoftheinteractioneffectof48snpsandobesityontype2diabetesinchinesehans |