Literature DB >> 27706734

Association between miR-137 polymorphism and risk of schizophrenia: a meta-analysis.

M L Ou1,2, G Liu3, D Xiao1, B H Zhang1, C C Guo1, X G Ye1, Y Liu1, N Zhang1, M Wang1, Y J Han1, X H Ye1, C X Jing1,4, G Yang5,6.   

Abstract

miR-137, a brain-enriched microRNA, is involved in the control of neuronal proliferation, differentiation, and dendritic arborization, all of which are important for proper neurogenesis and relevant to schizophrenia. miR-137 is also known to regulate many genes implicated in schizophrenia risk. Although reports have associated the miR-137 polymorphism rs1625579 with this disease, their results have been inconsistent. The aim of this meta-analysis was to evaluate the relationship between rs1625579 and schizophrenia. Data were obtained from an electronic database, and pooled odds ratios (ORs) with 95% confidence intervals (95%CI) were used to test the association using the RevMan 5.3 software. Twelve case-control studies comprising 11,583 cases and 14,315 controls were included. An estimated lambda value of 0.46 was recorded, suggesting that a codominant model of inheritance was most likely. A statistically significant association was established under allelic (T vs G: OR = 1.15, 95%CI = 1.10-1.21, P < 0.001) and homogeneous codominant models (TT vs GG: OR = 1.32, 95%CI = 1.13-1.54, P < 0.001), but no such relationship was detected using the heterogeneous codominant model (GT vs GG: OR = 1.14, 95%CI = 0.97-1.34, P = 0.11). This meta-analysis demonstrates that the rs1625579 miR-137 genetic variant significantly increases schizophrenia risk.

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Year:  2016        PMID: 27706734     DOI: 10.4238/gmr.15038703

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  2 in total

Review 1.  Non-Coding RNA as Novel Players in the Pathophysiology of Schizophrenia.

Authors:  Andrew Gibbons; Madhara Udawela; Brian Dean
Journal:  Noncoding RNA       Date:  2018-04-12

2.  Genetic association analysis of microRNA137 and its target complex 1 with schizophrenia in Han Chinese.

Authors:  Weihong Lu; Yi Zhang; Xinyu Fang; Weixing Fan; Wei Tang; Jun Cai; Lisheng Song; Chen Zhang
Journal:  Sci Rep       Date:  2017-11-08       Impact factor: 4.379

  2 in total

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