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酒精依赖相关拷贝数变异的全基因组荟萃分析。

Genome-wide meta-analysis of copy number variations with alcohol dependence.

作者信息

Sulovari A, Liu Z, Zhu Z, Li D

机构信息

Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, VT, USA.

Spine Surgery, Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.

出版信息

Pharmacogenomics J. 2018 May 22;18(3):398-405. doi: 10.1038/tpj.2017.35. Epub 2017 Jul 11.

Abstract

Genetic association studies and meta-analyses of alcohol dependence (AD) have reported AD-associated single nucleotide polymorphisms (SNPs). These SNPs collectively account for a small portion of estimated heritability in AD. Recent genome-wide copy number variation (CNV) studies have identified CNVs associated with AD and substance dependence, suggesting that a portion of the missing heritability is explained by CNV. We applied PennCNV and QuantiSNP CNV calling algorithms to identify consensus CNVs in five AD cohorts of European and African origins. After rigorous quality control, genome-wide meta-analyses of CNVs were carried out in 3243 well-diagnosed AD cases and 2802 controls. We identified nine CNV regions, including a deletion in chromosome 5q21.3 with a suggestive association with AD (OR=2.15 (1.41-3.29) and P=3.8 × 10) and eight nominally significant CNV regions. All regions were replicated with consistent effect sizes across studies and populations. Pathway and gene-drug interaction enrichment analyses based on the resulting genes indicated the mitogen-activated protein kinase signaling pathway and the recombinant insulin and hyaluronidase drugs, which were relevant to AD biology or treatment. To our knowledge, this is the first genome-wide meta-analysis of CNVs with addiction. Further investigation of the AD-associated CNV regions will provide better understanding of the AD genetic mechanism.

摘要

酒精依赖(AD)的基因关联研究和荟萃分析报告了与AD相关的单核苷酸多态性(SNP)。这些SNP共同占AD估计遗传力的一小部分。最近的全基因组拷贝数变异(CNV)研究已经确定了与AD和物质依赖相关的CNV,这表明部分缺失的遗传力可以用CNV来解释。我们应用PennCNV和QuantiSNP CNV检测算法,在五个欧洲和非洲裔的AD队列中识别一致性CNV。经过严格的质量控制后,对3243例诊断明确的AD病例和2802例对照进行了全基因组CNV荟萃分析。我们识别出9个CNV区域,包括5号染色体q21.3处的一个缺失,与AD存在提示性关联(OR = 2.15(1.41 - 3.29),P = 3.8×10)以及8个名义上显著的CNV区域。所有区域在各项研究和人群中均以一致的效应大小得到重复验证。基于所得基因的通路和基因 - 药物相互作用富集分析表明,丝裂原活化蛋白激酶信号通路以及重组胰岛素和透明质酸酶药物与AD生物学或治疗相关。据我们所知,这是首次对成瘾相关CNV进行全基因组荟萃分析。对与AD相关的CNV区域的进一步研究将有助于更好地理解AD的遗传机制。

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