Meta-analysis on the association between rs11868035, rs823144, rs3851179 and Parkinson's disease

IF 0.8 Q4 GENETICS & HEREDITY Meta Gene Pub Date : 2021-12-01 DOI:10.1016/j.mgene.2021.100949

Jianle Sun , Luojia Deng , Hengchao Zhu , Mingwei Liu , Ruiqi Lyu , Qingxuan Lai , Yue Zhang

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Abstract

Objectives

To determine whether the SNPs rs11868035, rs823144 and rs3851179 associate with PD susceptibility significantly.

Methods

A meta-analysis on the effect size of rs11868035, rs823144, rs3851179 on PD risk was conducted. The pooled ORs and 95% CIs with dominant, recessive, and allele models were calculated to examine the association effects.

Results

The meta-analysis involves 7786 patients with 33,581 controls, 1480 patients with 1453 controls, and 1160 patients with 1856 controls for the three SNPs respectively. The overall ORs (95% CI) in allele model for the three SNPs are 1.0073 (0.7170, 1.4152), 1.2957 (1.1539, 1.4549) and 1.0839 (0.8147, 1.4421), respectively. The major allele in rs11868035 polymorphism among Chinese and Western population is completely opposite (G for Western and A for Chinese).

Conclusions

Meta-analysis supports a significant association between RAB7L1 rs823144 and PD risk but indicates no significant association of SREBF1 rs11868035 or PICALM rs3851179 with PD susceptibility.

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rs11868035、rs823144、rs3851179与帕金森病相关性的meta分析

目的探讨snp rs11868035、rs823144和rs3851179与帕金森病易感性的相关性。方法对rs11868035、rs823144、rs3851179对PD风险的效应量进行meta分析。计算显性、隐性和等位基因模型的合并or和95% ci，以检验关联效应。结果共纳入7786例患者和33581例对照，1480例患者和1453例对照，1160例患者和1856例对照。在等位基因模型中，3个snp的总体or (95% CI)分别为1.0073(0.7170,1.4152)、1.2957(1.1539,1.4549)和1.0839(0.8147,1.4421)。中国人和西方人rs11868035多态性的主要等位基因完全相反(西方人为G，中国人为A)。结论meta分析支持RAB7L1 rs823144与PD风险有显著相关性，而SREBF1 rs11868035或PICALM rs3851179与PD易感性无显著相关性。

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来源期刊

Meta Gene Biochemistry, Genetics and Molecular Biology-Genetics

CiteScore

1.10

自引率

0.00%

发文量

期刊介绍： Meta Gene publishes meta-analysis, polymorphism and population study papers that are relevant to both human and non-human species. Examples include but are not limited to: (Relevant to human specimens): 1Meta-Analysis Papers - statistical reviews of the published literature of human genetic variation (typically linked to medical conditionals and/or congenital diseases) 2Genome Wide Association Studies (GWAS) - examination of large patient cohorts to identify common genetic factors that influence health and disease 3Human Genetics Papers - original studies describing new data on genetic variation in smaller patient populations 4Genetic Case Reports - short communications describing novel and in formative genetic mutations or chromosomal aberrations (e.g., probands) in very small demographic groups (e.g., family or unique ethnic group). (Relevant to non-human specimens): 1Small Genome Papers - Analysis of genetic variation in organelle genomes (e.g., mitochondrial DNA) 2Microbiota Papers - Analysis of microbiological variation through analysis of DNA sequencing in different biological environments 3Ecological Diversity Papers - Geographical distribution of genetic diversity of zoological or botanical species.