Cargando…

Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Han Chinese Population: A Replication Study and Meta-Analysis

BACKGROUND: Several genome-wide association studies (GWAS) involving European populations have successfully identified risk genetic variants associated with type 2 diabetes mellitus (T2DM). However, the effects conferred by these variants in Han Chinese population have not yet been fully elucidated....

Descripción completa

Detalles Bibliográficos
Autores principales: Chang, Yi-Cheng, Liu, Pi-Hua, Yu, Yu-Hsiang, Kuo, Shan-Shan, Chang, Tien-Jyun, Jiang, Yi-Der, Nong, Jiun-Yi, Hwang, Juey-Jen, Chuang, Lee-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3988150/
https://www.ncbi.nlm.nih.gov/pubmed/24736664
http://dx.doi.org/10.1371/journal.pone.0095045
_version_ 1782311988635893760
author Chang, Yi-Cheng
Liu, Pi-Hua
Yu, Yu-Hsiang
Kuo, Shan-Shan
Chang, Tien-Jyun
Jiang, Yi-Der
Nong, Jiun-Yi
Hwang, Juey-Jen
Chuang, Lee-Ming
author_facet Chang, Yi-Cheng
Liu, Pi-Hua
Yu, Yu-Hsiang
Kuo, Shan-Shan
Chang, Tien-Jyun
Jiang, Yi-Der
Nong, Jiun-Yi
Hwang, Juey-Jen
Chuang, Lee-Ming
author_sort Chang, Yi-Cheng
collection PubMed
description BACKGROUND: Several genome-wide association studies (GWAS) involving European populations have successfully identified risk genetic variants associated with type 2 diabetes mellitus (T2DM). However, the effects conferred by these variants in Han Chinese population have not yet been fully elucidated. METHODS: We analyzed the effects of 24 risk genetic variants with reported associations from European GWAS in 3,040 Han Chinese subjects in Taiwan (including 1,520 T2DM cases and 1,520 controls). The discriminative power of the prediction models with and without genotype scores was compared. We further meta-analyzed the association of these variants with T2DM by pooling all candidate-gene association studies conducted in Han Chinese. RESULTS: Five risk variants in IGF2BP2 (rs4402960, rs1470579), CDKAL1 (rs10946398), SLC30A8 (rs13266634), and HHEX (rs1111875) genes were nominally associated with T2DM in our samples. The odds ratio was 2.22 (95% confidence interval, 1.81-2.73, P<0.0001) for subjects with the highest genetic score quartile (score>34) as compared with subjects with the lowest quartile (score<29). The incoporation of genotype score into the predictive model increased the C-statistics from 0.627 to 0.657 (P<0.0001). These estimates are very close to those observed in European populations. Gene-environment interaction analysis showed a significant interaction between rs13266634 in SLC30A8 gene and age on T2DM risk (P<0.0001). Further meta-analysis pooling 20 studies in Han Chinese confirmed the association of 10 genetic variants in IGF2BP2, CDKAL1, JAZF1, SCL30A8, HHEX, TCF7L2, EXT2, and FTO genes with T2DM. The effect sizes conferred by these risk variants in Han Chinese were similar to those observed in Europeans but the allele frequencies differ substantially between two populations. CONCLUSION: We confirmed the association of 10 variants identified by European GWAS with T2DM in Han Chinese population. The incorporation of genotype scores into the prediction model led to a small but significant improvement in T2DM prediction.
format Online
Article
Text
id pubmed-3988150
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-39881502014-04-21 Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Han Chinese Population: A Replication Study and Meta-Analysis Chang, Yi-Cheng Liu, Pi-Hua Yu, Yu-Hsiang Kuo, Shan-Shan Chang, Tien-Jyun Jiang, Yi-Der Nong, Jiun-Yi Hwang, Juey-Jen Chuang, Lee-Ming PLoS One Research Article BACKGROUND: Several genome-wide association studies (GWAS) involving European populations have successfully identified risk genetic variants associated with type 2 diabetes mellitus (T2DM). However, the effects conferred by these variants in Han Chinese population have not yet been fully elucidated. METHODS: We analyzed the effects of 24 risk genetic variants with reported associations from European GWAS in 3,040 Han Chinese subjects in Taiwan (including 1,520 T2DM cases and 1,520 controls). The discriminative power of the prediction models with and without genotype scores was compared. We further meta-analyzed the association of these variants with T2DM by pooling all candidate-gene association studies conducted in Han Chinese. RESULTS: Five risk variants in IGF2BP2 (rs4402960, rs1470579), CDKAL1 (rs10946398), SLC30A8 (rs13266634), and HHEX (rs1111875) genes were nominally associated with T2DM in our samples. The odds ratio was 2.22 (95% confidence interval, 1.81-2.73, P<0.0001) for subjects with the highest genetic score quartile (score>34) as compared with subjects with the lowest quartile (score<29). The incoporation of genotype score into the predictive model increased the C-statistics from 0.627 to 0.657 (P<0.0001). These estimates are very close to those observed in European populations. Gene-environment interaction analysis showed a significant interaction between rs13266634 in SLC30A8 gene and age on T2DM risk (P<0.0001). Further meta-analysis pooling 20 studies in Han Chinese confirmed the association of 10 genetic variants in IGF2BP2, CDKAL1, JAZF1, SCL30A8, HHEX, TCF7L2, EXT2, and FTO genes with T2DM. The effect sizes conferred by these risk variants in Han Chinese were similar to those observed in Europeans but the allele frequencies differ substantially between two populations. CONCLUSION: We confirmed the association of 10 variants identified by European GWAS with T2DM in Han Chinese population. The incorporation of genotype scores into the prediction model led to a small but significant improvement in T2DM prediction. Public Library of Science 2014-04-15 /pmc/articles/PMC3988150/ /pubmed/24736664 http://dx.doi.org/10.1371/journal.pone.0095045 Text en © 2014 Chang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Chang, Yi-Cheng
Liu, Pi-Hua
Yu, Yu-Hsiang
Kuo, Shan-Shan
Chang, Tien-Jyun
Jiang, Yi-Der
Nong, Jiun-Yi
Hwang, Juey-Jen
Chuang, Lee-Ming
Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Han Chinese Population: A Replication Study and Meta-Analysis
title Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Han Chinese Population: A Replication Study and Meta-Analysis
title_full Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Han Chinese Population: A Replication Study and Meta-Analysis
title_fullStr Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Han Chinese Population: A Replication Study and Meta-Analysis
title_full_unstemmed Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Han Chinese Population: A Replication Study and Meta-Analysis
title_short Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Han Chinese Population: A Replication Study and Meta-Analysis
title_sort validation of type 2 diabetes risk variants identified by genome-wide association studies in han chinese population: a replication study and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3988150/
https://www.ncbi.nlm.nih.gov/pubmed/24736664
http://dx.doi.org/10.1371/journal.pone.0095045
work_keys_str_mv AT changyicheng validationoftype2diabetesriskvariantsidentifiedbygenomewideassociationstudiesinhanchinesepopulationareplicationstudyandmetaanalysis
AT liupihua validationoftype2diabetesriskvariantsidentifiedbygenomewideassociationstudiesinhanchinesepopulationareplicationstudyandmetaanalysis
AT yuyuhsiang validationoftype2diabetesriskvariantsidentifiedbygenomewideassociationstudiesinhanchinesepopulationareplicationstudyandmetaanalysis
AT kuoshanshan validationoftype2diabetesriskvariantsidentifiedbygenomewideassociationstudiesinhanchinesepopulationareplicationstudyandmetaanalysis
AT changtienjyun validationoftype2diabetesriskvariantsidentifiedbygenomewideassociationstudiesinhanchinesepopulationareplicationstudyandmetaanalysis
AT jiangyider validationoftype2diabetesriskvariantsidentifiedbygenomewideassociationstudiesinhanchinesepopulationareplicationstudyandmetaanalysis
AT nongjiunyi validationoftype2diabetesriskvariantsidentifiedbygenomewideassociationstudiesinhanchinesepopulationareplicationstudyandmetaanalysis
AT hwangjueyjen validationoftype2diabetesriskvariantsidentifiedbygenomewideassociationstudiesinhanchinesepopulationareplicationstudyandmetaanalysis
AT chuangleeming validationoftype2diabetesriskvariantsidentifiedbygenomewideassociationstudiesinhanchinesepopulationareplicationstudyandmetaanalysis