Suppr超能文献

用于阿尔茨海默病和其他神经退行性疾病的人类全基因组基因型和转录组数据。

Human whole genome genotype and transcriptome data for Alzheimer's and other neurodegenerative diseases.

作者信息

Allen Mariet, Carrasquillo Minerva M, Funk Cory, Heavner Benjamin D, Zou Fanggeng, Younkin Curtis S, Burgess Jeremy D, Chai High-Seng, Crook Julia, Eddy James A, Li Hongdong, Logsdon Ben, Peters Mette A, Dang Kristen K, Wang Xue, Serie Daniel, Wang Chen, Nguyen Thuy, Lincoln Sarah, Malphrus Kimberly, Bisceglio Gina, Li Ma, Golde Todd E, Mangravite Lara M, Asmann Yan, Price Nathan D, Petersen Ronald C, Graff-Radford Neill R, Dickson Dennis W, Younkin Steven G, Ertekin-Taner Nilüfer

机构信息

Mayo Clinic, Department of Neuroscience, 4500 San Pablo Road, Jacksonville, Florida 32224, USA.

Institute for Systems Biology, 401 Terry Ave N., Seattle, Washington 98109, USA.

出版信息

Sci Data. 2016 Oct 11;3:160089. doi: 10.1038/sdata.2016.89.

Abstract

Previous genome-wide association studies (GWAS), conducted by our group and others, have identified loci that harbor risk variants for neurodegenerative diseases, including Alzheimer's disease (AD). Human disease variants are enriched for polymorphisms that affect gene expression, including some that are known to associate with expression changes in the brain. Postulating that many variants confer risk to neurodegenerative disease via transcriptional regulatory mechanisms, we have analyzed gene expression levels in the brain tissue of subjects with AD and related diseases. Herein, we describe our collective datasets comprised of GWAS data from 2,099 subjects; microarray gene expression data from 773 brain samples, 186 of which also have RNAseq; and an independent cohort of 556 brain samples with RNAseq. We expect that these datasets, which are available to all qualified researchers, will enable investigators to explore and identify transcriptional mechanisms contributing to neurodegenerative diseases.

摘要

我们团队及其他团队之前进行的全基因组关联研究(GWAS)已经确定了包含神经退行性疾病(包括阿尔茨海默病(AD))风险变异的基因座。人类疾病变异中富含影响基因表达的多态性,包括一些已知与大脑中表达变化相关的多态性。假设许多变异通过转录调控机制赋予神经退行性疾病风险,我们分析了患有AD及相关疾病的受试者脑组织中的基因表达水平。在此,我们描述了我们的综合数据集,包括来自2099名受试者的GWAS数据;来自773个脑样本的微阵列基因表达数据,其中186个样本也有RNA测序数据;以及一个包含556个脑样本RNA测序数据的独立队列。我们期望这些可供所有合格研究人员使用的数据集,将使研究人员能够探索和确定导致神经退行性疾病的转录机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aba4/5058336/db8cd76a84a1/sdata201689-f1.jpg

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