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自噬相关基因16样蛋白1(ATG16L1)基因多态性与克罗恩病风险的关联

Association between ATG16L1 gene polymorphism and the risk of Crohn's disease.

作者信息

Zhang Bei-Bei, Liang Yu, Yang Bo, Tan Ying-Jun

机构信息

1 Department of Medical Affairs, General Hospital of PLA Chengdu Military Area Command, Chengdu, China.

2 Department of Thoracic Surgery, General Hospital of PLA Chengdu Military Area Command, Chengdu, China.

出版信息

J Int Med Res. 2017 Dec;45(6):1636-1650. doi: 10.1177/0300060516662404. Epub 2016 Oct 2.

DOI:10.1177/0300060516662404
PMID:27698206
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5805181/
Abstract

Objective To perform a meta-analysis to evaluate studies investigating the association between ATG16L1 gene polymorphism and Crohn's disease. Methods PubMed, Embase and Web of Science databases were searched for all studies focusing on the association of ATG16L1 and Crohn's disease. Combined odds ratios with 95% confidence intervals were calculated for four genetic models (allelic model: G allele versus A allele; additive model: GG versus AA; dominant model: GA + GG versus AA; recessive model: GG versus GA + AA) using either a random effects or fixed effects model. Results A total of 47 case-control studies involving 18 638 cases and 30 181 controls were included in the final meta-analysis. There was a significant association between ATG16L1 and Crohn's disease for all four genetic models. Significant associations were also shown in subgroup analyses when stratified by study design (population- or hospital-based). Conclusion In this meta-analysis, the ATG16L1 genotype was significantly associated with the risk of developing Crohn's disease.

摘要

目的 进行一项荟萃分析,以评估关于自噬相关基因16样蛋白1(ATG16L1)基因多态性与克罗恩病关联的研究。方法 在PubMed、Embase和Web of Science数据库中检索所有聚焦于ATG16L1与克罗恩病关联的研究。使用随机效应模型或固定效应模型,针对四种遗传模型(等位基因模型:G等位基因对A等位基因;相加模型:GG对AA;显性模型:GA + GG对AA;隐性模型:GG对GA + AA)计算合并比值比及95%置信区间。结果 最终的荟萃分析共纳入47项病例对照研究,涉及18638例病例和30181例对照。在所有四种遗传模型中,ATG16L1与克罗恩病之间均存在显著关联。按研究设计(基于人群或基于医院)分层进行亚组分析时,也显示出显著关联。结论 在这项荟萃分析中,ATG16L1基因型与患克罗恩病的风险显著相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/e08f9f7e75c4/10.1177_0300060516662404-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/c9acb63a03a6/10.1177_0300060516662404-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/2fbd8308c53f/10.1177_0300060516662404-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/7274148bf4ce/10.1177_0300060516662404-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/0d3d60ebb5df/10.1177_0300060516662404-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/b4a3eda31b53/10.1177_0300060516662404-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/22c7644f15c0/10.1177_0300060516662404-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/e08f9f7e75c4/10.1177_0300060516662404-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/c9acb63a03a6/10.1177_0300060516662404-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/2fbd8308c53f/10.1177_0300060516662404-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/7274148bf4ce/10.1177_0300060516662404-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/0d3d60ebb5df/10.1177_0300060516662404-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/b4a3eda31b53/10.1177_0300060516662404-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/22c7644f15c0/10.1177_0300060516662404-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f6/5805181/e08f9f7e75c4/10.1177_0300060516662404-fig7.jpg

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