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越来越多的证据表明 BIN1 是阿尔茨海默病的风险基因。

Convergent lines of evidence support BIN1 as a risk gene of Alzheimer's disease.

机构信息

Department of Psychiatry, Jining Medical University, 133 He Hua Road, Jining, 272067, Shandong, China.

Department of Psychiatry, Jining Psychiatric Hospital, Jining, 272051, Shandong, China.

出版信息

Hum Genomics. 2021 Jan 30;15(1):9. doi: 10.1186/s40246-021-00307-6.

Abstract

Genome-wide association studies (GWAS) have identified several susceptibility loci of Alzheimer's disease (AD), which were mainly located in noncoding regions of the genome. Meanwhile, the putative biological mechanisms underlying AD susceptibility loci were still unclear. At present, identifying the functional variants of AD pathogenesis remains a major challenge. Herein, we first used summary data-based Mendelian randomization (SMR) with AD GWAS summary and expression quantitative trait loci (eQTL) data to identify variants who affects expression levels of nearby genes and contributed to the risk of AD. Using the SMR integrative analysis, we totally identified 14 SNPs significantly affected the expression level of 16 nearby genes in blood or brain tissues and contributed to the AD risk. Then, to confirm the results, we replicated the GWAS and eQTL results across multiple samples. Totally, four risk SNP (rs11682128, rs601945, rs3935067, and rs679515) were validated to be associated with AD and affected the expression level of nearby genes (BIN1, HLA-DRA, EPHA1-AS1, and CR1). Besides, our differential expression analysis showed that the BIN1 gene was significantly downregulated in the hippocampus (P = 2.0 × 10) and survived after multiple comparisons. These convergent lines of evidence suggest that the BIN1 gene identified by SMR has potential roles in the pathogenesis of AD. Further investigation of the roles of the BIN1 gene in the pathogenesis of AD is warranted.

摘要

全基因组关联研究(GWAS)已经确定了几个阿尔茨海默病(AD)的易感基因座,这些基因座主要位于基因组的非编码区域。同时,AD 易感基因座背后的潜在生物学机制仍不清楚。目前,确定 AD 发病机制的功能变异仍然是一个主要挑战。在这里,我们首次使用 AD GWAS 汇总数据和表达数量性状基因座(eQTL)数据进行基于汇总数据的孟德尔随机化(SMR),以确定影响附近基因表达水平并导致 AD 风险的变异。使用 SMR 综合分析,我们总共鉴定出 14 个 SNP,这些 SNP 显著影响血液或脑组织中 16 个附近基因的表达水平,并导致 AD 风险。然后,为了确认结果,我们在多个样本中复制了 GWAS 和 eQTL 结果。总共,四个风险 SNP(rs11682128、rs601945、rs3935067 和 rs679515)被验证与 AD 相关,并影响附近基因(BIN1、HLA-DRA、EPHA1-AS1 和 CR1)的表达水平。此外,我们的差异表达分析显示,BIN1 基因在海马体中显著下调(P=2.0×10),并且在多次比较后仍然存活。这些相互一致的证据表明,SMR 鉴定的 BIN1 基因在 AD 的发病机制中具有潜在作用。进一步研究 BIN1 基因在 AD 发病机制中的作用是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9d8/7847034/6c9adf1e8e38/40246_2021_307_Fig1_HTML.jpg

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