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Article Abstract

Human endogenous retroviruses (HERVs), as remnants of ancient exogenous retrovirus infected and integrated into germ cells, comprise ∼8% of the human genome. These HERVs have been implicated in numerous diseases, and extensive research has been conducted to uncover their specific roles. Despite these efforts, a comprehensive source of HERV-disease association still needs to be added. To address this gap, we introduce the HervD Atlas (https://ngdc.cncb.ac.cn/hervd/), an integrated knowledgebase of HERV-disease associations manually curated from all related published literature. In the current version, HervD Atlas collects 60 726 HERV-disease associations from 254 publications (out of 4692 screened literature), covering 21 790 HERVs (21 049 HERV-Terms and 741 HERV-Elements) belonging to six types, 149 diseases and 610 related/affected genes. Notably, an interactive knowledge graph that systematically integrates all the HERV-disease associations and corresponding affected genes into a comprehensive network provides a powerful tool to uncover and deduce the complex interplay between HERVs and diseases. The HervD Atlas also features a user-friendly web interface that allows efficient browsing, searching, and downloading of all association information, research metadata, and annotation information. Overall, the HervD Atlas is an essential resource for comprehensive, up-to-date knowledge on HERV-disease research, potentially facilitating the development of novel HERV-associated diagnostic and therapeutic strategies.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10767980PMC
http://dx.doi.org/10.1093/nar/gkad904DOI Listing

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Article Synopsis
  • Human endogenous retroviruses (HERVs) make up about 8% of the human genome and have been linked to various diseases, but there hasn't been a complete resource summarizing these associations.
  • The HervD Atlas is a new knowledgebase that compiles 60,726 HERV-disease associations from 254 publications, covering a wide range of HERVs, diseases, and related genes.
  • It features an interactive knowledge graph and a user-friendly interface, making it easier to explore HERV-disease connections and potentially aiding in the development of new diagnostic and treatment options.
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