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Meta-analyses of the association of G6PC2 allele variants with elevated fasting glucose and type 2 diabetes

OBJECTIVE: To collectively evaluate the association of glucose-6-phosphatase catalytic unit 2 (G6PC2) allele variants with elevated fasting glucose (FG) and type 2 diabetes (T2D). DESIGN: Meta-analysis DATA SOURCES: PubMed, Web of Knowledge and Embase databases. STUDY SELECTION: Full text articles o...

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Autores principales: Shi, Yuanyuan, Li, Yuqian, Wang, Jinjin, Wang, Chongjian, Fan, Jingjing, Zhao, Jingzhi, Yin, Lei, Liu, Xuejiao, Zhang, Dongdong, Li, Linlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509327/
https://www.ncbi.nlm.nih.gov/pubmed/28704540
http://dx.doi.org/10.1371/journal.pone.0181232
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author Shi, Yuanyuan
Li, Yuqian
Wang, Jinjin
Wang, Chongjian
Fan, Jingjing
Zhao, Jingzhi
Yin, Lei
Liu, Xuejiao
Zhang, Dongdong
Li, Linlin
author_facet Shi, Yuanyuan
Li, Yuqian
Wang, Jinjin
Wang, Chongjian
Fan, Jingjing
Zhao, Jingzhi
Yin, Lei
Liu, Xuejiao
Zhang, Dongdong
Li, Linlin
author_sort Shi, Yuanyuan
collection PubMed
description OBJECTIVE: To collectively evaluate the association of glucose-6-phosphatase catalytic unit 2 (G6PC2) allele variants with elevated fasting glucose (FG) and type 2 diabetes (T2D). DESIGN: Meta-analysis DATA SOURCES: PubMed, Web of Knowledge and Embase databases. STUDY SELECTION: Full text articles of studies that identified an association of G6PC2 with T2D and elevated FG. PATIENT INVOLVEMENT: There was no T2D patient involvement in the analyses on the association of FG with G6PC2, there were T2D patients and non-diabetes patient involvement in the analyses on the association of T2D with G6PC2. STATISTICAL ANALYSIS: Random-effects meta-analyses were used to calculate the pool effect sizes. I(2) metric and H(2) tests were used to calculate the heterogeneity. Begg's funnel plot and Egger’s linear regression test were done to assess publication bias. RESULTS: Of the 423 studies identified, 21 were eligible and included. Data on three loci (rs560887, rs16856187 and rs573225) were available. The G allele at rs560887 in three ethnicities, the C allele at rs16856187 and the A allele at rs573225 all had a positive association with elevated FG. Per increment of G allele at rs560887 and A allele at rs573225 resulted in a FG 0.070 mmol/l and 0.075 mmol/l higher (ß (95% CI) = 0.070 (0.060, 0.079), p = 4.635e-50 and 0.075 (0.065, 0.085), p = 5.856e-48, respectively). With regard to the relationship of rs16856187 and FG, an increase of 0.152 (95% CI: 0.034–0.270; p = 0.011) and 0.317 (95% CI: 0.193–0.442, p = 6.046e-07) was found in the standardized mean difference (SMD) of FG for the AC and CC genotypes, respectively, when compared with the AA reference genotype. However, the G-allele of rs560887 in Caucasians under the additive model and the C-allele of rs16856187 under the allele and dominant models were associated with a decreased risk of T2D (OR (95% CI) = 0.964 (0.947, 0.981), p = 0.570e-4; OR (95% CI) = 0.892 (0.832, 0.956), p = 0.001; and OR (95% CI) = 0.923(0.892, 0.955), p = 5.301e-6, respectively). CONCLUSIONS: Our meta-analyses demonstrate that all three allele variants of G6PC2 (rs560887, rs16856187 and rs573225) are associated with elevated FG, with two variants (rs560887 in the Caucasians subgroup and rs16856187 under the allele and dominant model) being associated with T2D as well. Further studies utilizing larger sample sizes and different ethnic populations are needed to extend and confirm these findings.
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spelling pubmed-55093272017-08-07 Meta-analyses of the association of G6PC2 allele variants with elevated fasting glucose and type 2 diabetes Shi, Yuanyuan Li, Yuqian Wang, Jinjin Wang, Chongjian Fan, Jingjing Zhao, Jingzhi Yin, Lei Liu, Xuejiao Zhang, Dongdong Li, Linlin PLoS One Research Article OBJECTIVE: To collectively evaluate the association of glucose-6-phosphatase catalytic unit 2 (G6PC2) allele variants with elevated fasting glucose (FG) and type 2 diabetes (T2D). DESIGN: Meta-analysis DATA SOURCES: PubMed, Web of Knowledge and Embase databases. STUDY SELECTION: Full text articles of studies that identified an association of G6PC2 with T2D and elevated FG. PATIENT INVOLVEMENT: There was no T2D patient involvement in the analyses on the association of FG with G6PC2, there were T2D patients and non-diabetes patient involvement in the analyses on the association of T2D with G6PC2. STATISTICAL ANALYSIS: Random-effects meta-analyses were used to calculate the pool effect sizes. I(2) metric and H(2) tests were used to calculate the heterogeneity. Begg's funnel plot and Egger’s linear regression test were done to assess publication bias. RESULTS: Of the 423 studies identified, 21 were eligible and included. Data on three loci (rs560887, rs16856187 and rs573225) were available. The G allele at rs560887 in three ethnicities, the C allele at rs16856187 and the A allele at rs573225 all had a positive association with elevated FG. Per increment of G allele at rs560887 and A allele at rs573225 resulted in a FG 0.070 mmol/l and 0.075 mmol/l higher (ß (95% CI) = 0.070 (0.060, 0.079), p = 4.635e-50 and 0.075 (0.065, 0.085), p = 5.856e-48, respectively). With regard to the relationship of rs16856187 and FG, an increase of 0.152 (95% CI: 0.034–0.270; p = 0.011) and 0.317 (95% CI: 0.193–0.442, p = 6.046e-07) was found in the standardized mean difference (SMD) of FG for the AC and CC genotypes, respectively, when compared with the AA reference genotype. However, the G-allele of rs560887 in Caucasians under the additive model and the C-allele of rs16856187 under the allele and dominant models were associated with a decreased risk of T2D (OR (95% CI) = 0.964 (0.947, 0.981), p = 0.570e-4; OR (95% CI) = 0.892 (0.832, 0.956), p = 0.001; and OR (95% CI) = 0.923(0.892, 0.955), p = 5.301e-6, respectively). CONCLUSIONS: Our meta-analyses demonstrate that all three allele variants of G6PC2 (rs560887, rs16856187 and rs573225) are associated with elevated FG, with two variants (rs560887 in the Caucasians subgroup and rs16856187 under the allele and dominant model) being associated with T2D as well. Further studies utilizing larger sample sizes and different ethnic populations are needed to extend and confirm these findings. Public Library of Science 2017-07-13 /pmc/articles/PMC5509327/ /pubmed/28704540 http://dx.doi.org/10.1371/journal.pone.0181232 Text en © 2017 Shi 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shi, Yuanyuan
Li, Yuqian
Wang, Jinjin
Wang, Chongjian
Fan, Jingjing
Zhao, Jingzhi
Yin, Lei
Liu, Xuejiao
Zhang, Dongdong
Li, Linlin
Meta-analyses of the association of G6PC2 allele variants with elevated fasting glucose and type 2 diabetes
title Meta-analyses of the association of G6PC2 allele variants with elevated fasting glucose and type 2 diabetes
title_full Meta-analyses of the association of G6PC2 allele variants with elevated fasting glucose and type 2 diabetes
title_fullStr Meta-analyses of the association of G6PC2 allele variants with elevated fasting glucose and type 2 diabetes
title_full_unstemmed Meta-analyses of the association of G6PC2 allele variants with elevated fasting glucose and type 2 diabetes
title_short Meta-analyses of the association of G6PC2 allele variants with elevated fasting glucose and type 2 diabetes
title_sort meta-analyses of the association of g6pc2 allele variants with elevated fasting glucose and type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509327/
https://www.ncbi.nlm.nih.gov/pubmed/28704540
http://dx.doi.org/10.1371/journal.pone.0181232
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