Journal ArticleDOI
A common variant in the glucokinase regulatory gene rs780094 and risk of nonalcoholic fatty liver disease: A meta-analysis
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TLDR
A meta‐analysis was performed to evaluate the effect strength caused by GCKR rs780094 on NAFLD.Abstract:
Background and Aim
Although studies have suggested that rs780094, a common variant in the glucokinase regulatory (GCKR) gene to be associated with type 2 diabetes, obesity, and their related traits, the genetic basis of the association between GCKR rs780094 and nonalcoholic fatty liver disease (NAFLD) is still being examined. This meta-analysis was performed to evaluate the effect strength caused by GCKR rs780094 on NAFLD.
Methods
We searched Medline, PubMed, Scopus, and Embase for relevant articles published up to April 2014. Data were extracted, and summary estimates of the association between GCKR rs780094 and NAFLD were examined. Heterogeneity and publication bias were also examined.
Results
This meta-analysis incorporated a total of 2091 NAFLD cases and 3003 controls from five studies. Overall, the pooled result indicated that the GCKR rs780094 was significantly associated with increased risk of NAFLD (additive: odds ratio (OR) 1.25, 95% confidence interval (CI) 1.14–1.36, P < 0.00001). Analysis also revealed significant associations with different alternative genetic models for the inheritance: dominant, recessive, and homozygote (OR 1.40, 95%CI 1.23–1.61, P < 0.00001; OR 0.79, 95% CI 0.68–0.91, P = 0.001, and; (OR 1.27, 95% CI 1.10–1.47, P = 0.001, respectively), but not the heterozygote model. Population subgroup analysis demonstrated similar effect size in both Asians and non-Asians (OR 1.27, 95%CI 1.12–1.45, P = 0.0003 and OR 1.22, 95%CI 1.10–1.37, P = 0.0003, respectively).
Conclusions
Our meta-analysis provides evidence of significant association between GCKR rs780094 and risk of NAFLD. Similar effect size was demonstrated in both Asian and non-Asian populations.read more
Citations
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Noninvasive biomarkers in NAFLD and NASH - current progress and future promise.
Vincent Wai-Sun Wong,Leon A. Adams,Victor de Lédinghen,Grace Lai-Hung Wong,Silvia Cristina Sookoian,Silvia Cristina Sookoian +5 more
TL;DR: Current and potential biomarkers for different features of NAFLD, namely, steatosis, necroinflammation and fibrosis are reviewed, and MRI-estimated proton density fat fraction is currently the most accurate test to quantify hepatic steatohepatitis and can be considered the gold standard.
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Genetic predisposition in nonalcoholic fatty liver disease
TL;DR: This review focused on the genetic component of NAFLD, with special emphasis on the role of genetics in the disease pathogenesis and natural history, and insights into the topic of the genetic susceptibility in lean individuals withNAFLD are discussed.
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Strategies, models and biomarkers in experimental non-alcoholic fatty liver disease research
Joost Willebrords,Isabel Veloso Alves Pereira,Michaël Maes,Sara Crespo Yanguas,Isabelle Colle,Bert Van Den Bossche,Tereza Cristina da Silva,Claudia P. Oliveira,Wellington Andraus,Venâncio Avancini Ferreira Alves,Bruno Cogliati,Mathieu Vinken +11 more
TL;DR: The array of tools and models for the study of liver steatosis is discussed, and the current state-of-art regarding experimental biomarkers such as epigenetic, genetic, transcriptomic, proteomic and metabonomic biomarkers will be reviewed.
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The role of omics in the pathophysiology, diagnosis and treatment of non-alcoholic fatty liver disease.
TL;DR: The chief contributions of these techniques in understanding, diagnosing and treating NAFLD are summarized herein.
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Toward Genetic Prediction of Nonalcoholic Fatty Liver Disease Trajectories: PNPLA3 and Beyond
TL;DR: Key NAFLD risk genes are summarized and their interactions in a 3D "risk space" are illustrated to envision clinical utility in better trial design, outcome prediction, andNAFLD surveillance.
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