Literature DB >> 27466193

Serum gamma-glutamyl transferase and risk of type 2 diabetes in the general Korean population: a Mendelian randomization study.

Youn Sue Lee1,1, Yoonsu Cho1, Stephen Burgess2,3, George Davey Smith2, Caroline L Relton2,4, So-Youn Shin5, Min-Jeong Shin6,7.   

Abstract

Elevated gamma-glutamyl transferase (GGT) levels are associated with higher risk of type 2 diabetes in observational studies, but the underlying causal relationship is still unclear. Here, we tested a hypothesis that GGT levels have a causal effect on type 2 diabetes risk using Mendelian randomization. Data were collected from 7640 participants in a South Korean population. In a single instrumental variable (IV) analysis using two stage least squares regression with the rs4820599 in the GGT1 gene region as an instrument, one unit of GGT levels (IU/L) was associated with 11% higher risk of type 2 diabetes (odds ratio (OR) = 1.11, 95% confidence interval (CI): 1.04 to 1.19). In a multiple IV analysis using seven genetic variants that have previously been demonstrated to be associated with GGT at a genome-wide level of significance, the corresponding estimate suggested a 2.6% increase in risk (OR = 1.026, 95% CI: 1.001 to 1.052). In a two-sample Mendelian randomization analysis using genetic associations with type 2 diabetes taken from a trans-ethnic GWAS study of 110 452 independent samples, the single IV analysis confirmed an association between the rs4820599 and type 2 diabetes risk (P-value = 0.04); however, the estimate from the multiple IV analysis was compatible with the null (OR = 1.007, 95% CI: 0.993 to 1.022) with considerable heterogeneity between the causal effects estimated using different genetic variants. Overall, there is weak genetic evidence that GGT levels may have a causal role in the development of type 2 diabetes.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2016        PMID: 27466193     DOI: 10.1093/hmg/ddw226

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  14 in total

1.  Mendelian randomization for investigating causal roles of biomarkers in multifactorial health outcomes: a lesson from studies on liver biomarkers.

Authors:  Ali Abbasi
Journal:  Int J Epidemiol       Date:  2017-10-01       Impact factor: 7.196

2.  Liver Function and Risk of Type 2 Diabetes: Bidirectional Mendelian Randomization Study.

Authors:  N Maneka G De Silva; Maria Carolina Borges; Aroon D Hingorani; Jorgen Engmann; Tina Shah; Xiaoshuai Zhang; Jian'an Luan; Claudia Langenberg; Andrew Wong; Diana Kuh; John C Chambers; Weihua Zhang; Marjo-Ritta Jarvelin; Sylvain Sebert; Juha Auvinen; Tom R Gaunt; Deborah A Lawlor
Journal:  Diabetes       Date:  2019-05-14       Impact factor: 9.461

3.  High Liver Enzyme Concentrations are Associated with Higher Glycemia, but not with Glycemic Variability, in Individuals without Diabetes Mellitus.

Authors:  Raymond Noordam; Debbie Vermond; Hermijntje Drenth; Carolien A Wijman; Abimbola A Akintola; Sabrina van der Kroef; Steffy W M Jansen; Neline C Huurman; Bianca A M Schutte; Marian Beekman; P Eline Slagboom; Simon P Mooijaart; Diana van Heemst
Journal:  Front Endocrinol (Lausanne)       Date:  2017-09-13       Impact factor: 5.555

4.  Liver Fat, Hepatic Enzymes, Alkaline Phosphatase and the Risk of Incident Type 2 Diabetes: A Prospective Study of 132,377 Adults.

Authors:  Sean Chun-Chang Chen; Shan Pou Tsai; Jing-Yun Jhao; Wun-Kai Jiang; Chwen Keng Tsao; Ly-Yun Chang
Journal:  Sci Rep       Date:  2017-07-05       Impact factor: 4.379

5.  Non-linear relationship between gamma-glutamyl transferase and type 2 diabetes mellitus risk: secondary analysis of a prospective cohort study.

Authors:  Hao Wang; Lixia Li; Shouyan Zhang
Journal:  J Int Med Res       Date:  2020-07       Impact factor: 1.671

Review 6.  Inferring Causal Relationships Between Risk Factors and Outcomes from Genome-Wide Association Study Data.

Authors:  Stephen Burgess; Christopher N Foley; Verena Zuber
Journal:  Annu Rev Genomics Hum Genet       Date:  2018-04-25       Impact factor: 8.929

7.  Leucocyte Telomere Length and Glucose Tolerance Status in Mixed-Ancestry South Africans.

Authors:  Cecil J Weale; Glenda M Davison; Gloudina M Hon; Andre P Kengne; Rajiv T Erasmus; Tandi E Matsha
Journal:  Cells       Date:  2019-05-16       Impact factor: 6.600

Review 8.  Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses.

Authors:  Vanesa Bellou; Lazaros Belbasis; Ioanna Tzoulaki; Evangelos Evangelou
Journal:  PLoS One       Date:  2018-03-20       Impact factor: 3.240

9.  The Dose-Response Relationship between Gamma-Glutamyl Transferase and Risk of Diabetes Mellitus Using Publicly Available Data: A Longitudinal Study in Japan.

Authors:  Wei Zhao; Jingjing Tong; Jie Liu; Jin Liu; Jinghua Li; Yongtong Cao
Journal:  Int J Endocrinol       Date:  2020-02-21       Impact factor: 3.257

Review 10.  Prioritising Risk Factors for Type 2 Diabetes: Causal Inference through Genetic Approaches.

Authors:  Laura B L Wittemans; Luca A Lotta; Claudia Langenberg
Journal:  Curr Diab Rep       Date:  2018-05-19       Impact factor: 4.810

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