疾病
计算生物学
背景(考古学)
资源(消歧)
药物靶点
组学
人口
生物
计算机科学
生物信息学
医学
病理
计算机网络
药理学
环境卫生
古生物学
作者
Maria A. Wörheide,Jan Krumsiek,Serge Nataf,Kwangsik Nho,Anna K. Greenwood,Tong Wu,Kevin Huynh,Patrick Weinisch,Werner Römisch‐Margl,Nick Lehner,Jan Baumbach,Peter J. Meikle,Andrew J. Saykin,P. Murali Doraiswamy,Cornelia M. van Duijn,Karsten Suhre,Rima Kaddurah‐Daouk,Gabi Kastenmüller,Matthias Arnold
出处
期刊:Cold Spring Harbor Laboratory - medRxiv
日期:2021-09-22
被引量:10
标识
DOI:10.1101/2021.09.14.21263565
摘要
ABSTRACT INTRODUCTION Embedding single-omics disease associations into the wider context of multi-level molecular changes in Alzheimer’s disease (AD) remains one central challenge in AD research. METHODS Results from numerous AD-specific omics studies from AMP-AD, NIAGADS, and other initiatives were integrated into a comprehensive network resource and complemented with molecular associations from large-scale population-based studies to provide a global view on AD. RESULTS We present the AD Atlas, an online resource ( www.adatlas.org ) integrating over 20 large studies providing disease-relevant information on 20,353 protein-coding genes, 8,615 proteins, 997 metabolites and 31 AD-related phenotypes. Multiple showcases demonstrate the utility of this resource for contextualization of AD research results and subsequent downstream analyses, such as drug repositioning approaches. DISCUSSION By providing a global view on multi-omics results through a user-friendly interface, the AD Atlas enables the formulation of molecular hypotheses and retrieval of clinically relevant insights that can be validated in follow-up analyses or experiments.
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