• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Prediction and Subtyping of Hypertension from Pan-Tissue Transcriptomic and Genetic Analyses.基于泛组织转录组学和遗传学分析的高血压预测和亚型分析。
Genetics. 2017 Nov;207(3):1121-1134. doi: 10.1534/genetics.117.300280. Epub 2017 Sep 12.
2
SNP eQTL status and eQTL density in the adjacent region of the SNP are associated with its statistical significance in GWA studies.SNP 的 eQTL 状态和 SNP 相邻区域的 eQTL 密度与其在 GWAS 研究中的统计学意义相关。
BMC Genet. 2019 Nov 12;20(1):85. doi: 10.1186/s12863-019-0786-0.
3
Exploring regulation in tissues with eQTL networks.探索具有 eQTL 网络的组织中的调控。
Proc Natl Acad Sci U S A. 2017 Sep 12;114(37):E7841-E7850. doi: 10.1073/pnas.1707375114. Epub 2017 Aug 29.
4
Endometrial vezatin and its association with endometriosis risk.子宫内膜 vezatin 及其与子宫内膜异位症风险的关联。
Hum Reprod. 2016 May;31(5):999-1013. doi: 10.1093/humrep/dew047. Epub 2016 Mar 22.
5
Conditional eQTL analysis reveals allelic heterogeneity of gene expression.条件性表达数量性状基因座分析揭示了基因表达的等位基因异质性。
Hum Mol Genet. 2017 Apr 15;26(8):1444-1451. doi: 10.1093/hmg/ddx043.
6
The genetic regulation of transcription in human endometrial tissue.人类子宫内膜组织中转录的遗传调控。
Hum Reprod. 2017 Apr 1;32(4):893-904. doi: 10.1093/humrep/dex006.
7
eQTL networks unveil enriched mRNA master integrators downstream of complex disease-associated SNPs.表达数量性状基因座(eQTL)网络揭示了复杂疾病相关单核苷酸多态性(SNP)下游富集的信使核糖核酸(mRNA)主整合因子。
J Biomed Inform. 2015 Dec;58:226-234. doi: 10.1016/j.jbi.2015.10.010. Epub 2015 Oct 30.
8
Trans-eQTLs identified in whole blood have limited influence on complex disease biology.全血中转录调控区单核苷酸多态性对复杂疾病生物学的影响有限。
Eur J Hum Genet. 2018 Sep;26(9):1361-1368. doi: 10.1038/s41431-018-0174-7. Epub 2018 Jun 11.
9
Integrating regulatory features data for prediction of functional disease-associated SNPs.整合调控特征数据以预测功能疾病相关的 SNPs。
Brief Bioinform. 2019 Jan 18;20(1):26-32. doi: 10.1093/bib/bbx094.
10
Genetic control of longissimus dorsi muscle gene expression variation and joint analysis with phenotypic quantitative trait loci in pigs.猪背最长肌基因表达变异的遗传控制及与表型数量性状位点的联合分析。
BMC Genomics. 2019 Jan 3;20(1):3. doi: 10.1186/s12864-018-5386-2.

引用本文的文献

1
Decoding the mechanism of hypertension through multiomics profiling.通过多组学分析解析高血压的发病机制。
J Hum Hypertens. 2023 Apr;37(4):253-264. doi: 10.1038/s41371-022-00769-8. Epub 2022 Nov 3.
2
Predicting tissue-specific gene expression from whole blood transcriptome.从全血转录组预测组织特异性基因表达。
Sci Adv. 2021 Apr 2;7(14). doi: 10.1126/sciadv.abd6991. Print 2021 Apr.
3
Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension.人工智能在预测和管理高血压方面的未来方向。
Curr Hypertens Rep. 2018 Jul 6;20(9):75. doi: 10.1007/s11906-018-0875-x.

本文引用的文献

1
Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases.人类多种组织中与年龄相关的基因表达同步变化及其与复杂疾病的关联。
Sci Rep. 2015 Oct 19;5:15145. doi: 10.1038/srep15145.
2
Non-coding genetic variants in human disease.人类疾病中的非编码基因变异
Hum Mol Genet. 2015 Oct 15;24(R1):R102-10. doi: 10.1093/hmg/ddv259. Epub 2015 Jul 7.
3
One year in review 2015: systemic lupus erythematosus.2015年回顾:系统性红斑狼疮
Clin Exp Rheumatol. 2015 May-Jun;33(3):414-25. Epub 2015 Jun 22.
4
Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans.人类基因组学。基因型-组织表达(GTEx)试点分析:人类多组织基因调控
Science. 2015 May 8;348(6235):648-60. doi: 10.1126/science.1262110. Epub 2015 May 7.
5
Understanding multicellular function and disease with human tissue-specific networks.利用人类组织特异性网络理解多细胞功能与疾病。
Nat Genet. 2015 Jun;47(6):569-76. doi: 10.1038/ng.3259. Epub 2015 Apr 27.
6
The metabolome profiling and pathway analysis in metabolic healthy and abnormal obesity.代谢健康型肥胖与异常肥胖中的代谢组学分析及通路分析
Int J Obes (Lond). 2015 Aug;39(8):1241-8. doi: 10.1038/ijo.2015.65. Epub 2015 Apr 24.
7
Integrative network analysis reveals molecular mechanisms of blood pressure regulation.整合网络分析揭示血压调节的分子机制。
Mol Syst Biol. 2015 Apr 16;11(1):799. doi: 10.15252/msb.20145399.
8
A meta-analysis of gene expression signatures of blood pressure and hypertension.血压和高血压基因表达特征的荟萃分析。
PLoS Genet. 2015 Mar 18;11(3):e1005035. doi: 10.1371/journal.pgen.1005035. eCollection 2015 Mar.
9
Insulin resistance and hypertension: new insights.胰岛素抵抗与高血压:新的认识。
Kidney Int. 2015 Mar;87(3):497-9. doi: 10.1038/ki.2014.392.
10
Managing comorbidities in COPD.慢性阻塞性肺疾病(COPD)合并症的管理
Int J Chron Obstruct Pulmon Dis. 2015 Jan 7;10:95-109. doi: 10.2147/COPD.S54473. eCollection 2015.

基于泛组织转录组学和遗传学分析的高血压预测和亚型分析。

Prediction and Subtyping of Hypertension from Pan-Tissue Transcriptomic and Genetic Analyses.

机构信息

Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742.

Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201.

出版信息

Genetics. 2017 Nov;207(3):1121-1134. doi: 10.1534/genetics.117.300280. Epub 2017 Sep 12.

DOI:10.1534/genetics.117.300280
PMID:28899996
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5676229/
Abstract

(HT) is a complex systemic disease involving transcriptional changes in multiple organs. Here we systematically investigate the pan-tissue transcriptional and genetic landscape of HT spanning dozens of tissues in hundreds of individuals. We find that in several tissues, previously identified HT-linked genes are dysregulated and the gene expression profile is predictive of HT. Importantly, many expression quantitative trait loci (eQTL) SNPs associated with the population variance of the dysregulated genes are linked with blood pressure in an independent genome-wide association study, suggesting that the functional effect of HT-associated SNPs may be mediated through tissue-specific transcriptional dysregulation. Analyses of pan-tissue transcriptional dysregulation profile, as well as eQTL SNPs underlying the dysregulated genes, reveals substantial heterogeneity among the HT patients, revealing two broad groupings - a group where several tissues exhibit HT-associated molecular alterations and a group where such alterations are localized to very few tissues. These two patient subgroups differ in several clinical phenotypes including respiratory, cerebrovascular, diabetes, and heart disease. These findings suggest that the Diffused and Localized subgroups may be driven by different molecular mechanisms and have different genetic underpinning.

摘要

HT 是一种复杂的系统性疾病,涉及多个器官的转录变化。在这里,我们系统地研究了跨越数百个人数百种组织的 HT 的全组织转录组和遗传景观。我们发现,在几种组织中,先前确定的与 HT 相关的基因发生失调,基因表达谱可预测 HT。重要的是,许多与失调基因的群体变异相关的表达数量性状基因座(eQTL)SNP 在独立的全基因组关联研究中与血压相关,这表明与 HT 相关的 SNP 的功能效应可能是通过组织特异性转录失调介导的。对全组织转录失调谱以及失调基因的 eQTL SNP 的分析表明,HT 患者之间存在很大的异质性,揭示了两个广泛的分组——一个分组中,几个组织表现出与 HT 相关的分子改变,另一个分组中,这种改变局限于极少数组织。这两个患者亚组在包括呼吸、脑血管、糖尿病和心脏病在内的几种临床表型上存在差异。这些发现表明,弥漫性和局限性亚组可能由不同的分子机制驱动,具有不同的遗传基础。