Qian Qiheng, Xue Ruikun, Xu Chenle, Wang Fengyu, Zeng Jingyao, Xiao Jingfa
National Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.
Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Nucleic Acids Res. 2025 Jan 6;53(D1):D1348-D1355. doi: 10.1093/nar/gkae848.
Cardiovascular disease (CVD) is the leading cause of illness and death worldwide. Numerous studies have been conducted into the underlying mechanisms and molecular characteristics of CVD using various omics approaches. However, there is still a need for comprehensive resources on CVD. To fill this gap, we present the CVD Atlas, accessed at https://ngdc.cncb.ac.cn/cvd. This database compiles knowledge and information from manual curation, large-scale data analysis, and existing databases, utilizing multi-omics data to understand CVDs comprehensively. The current version of CVD Atlas contains 215,333 associations gathered from 308 publications, 652 datasets and 7 databases. It covers 190 diseases and 44 traits across multiple omics levels. Additionally, it provides an interactive knowledge graph that integrates disease-gene associations and two types of analysis tools, offering an engaging way to query and display relationships. CVD Atlas also features a user-friendly web interface that allows users to easily browse, search, and download all association information, research metadata, and annotation details. In conclusion, CVD Atlas is a valuable resource that enhances the accessibility and utility of knowledge and information related to CVD, benefiting human health and CVD research communities.
心血管疾病（CVD）是全球疾病和死亡的主要原因。人们已经使用各种组学方法对CVD的潜在机制和分子特征进行了大量研究。然而，仍然需要有关CVD的综合资源。为了填补这一空白，我们推出了心血管疾病图谱（CVD Atlas），可通过https://ngdc.cncb.ac.cn/cvd访问。该数据库整合了人工整理、大规模数据分析和现有数据库中的知识与信息，利用多组学数据全面了解心血管疾病。心血管疾病图谱的当前版本包含从308篇出版物、652个数据集和7个数据库中收集的215,333个关联。它涵盖了多个组学层面的190种疾病和44个性状。此外，它提供了一个交互式知识图谱，整合了疾病-基因关联和两种分析工具，提供了一种引人入胜的查询和展示关系的方式。心血管疾病图谱还具有用户友好的网络界面，允许用户轻松浏览、搜索和下载所有关联信息、研究元数据和注释细节。总之，心血管疾病图谱是一个宝贵的资源，它提高了与心血管疾病相关的知识和信息的可及性和实用性，造福于人类健康和心血管疾病研究群体。
