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HDAM: A resource of human disease associated mutations from next generation sequencing studies

  • Meiwei Jia
  • , Yanli Liu
  • , Zhongchao Shen
  • , Chen Zhao
  • , Meixia Zhang
  • , Zhenghui Yi
  • , Chengping Wen
  • , Youping Deng
  • , Tieliu Shi*
  • *Corresponding author for this work
  • East China Normal University
  • Sichuan University
  • Shanghai Jiao Tong University
  • Zhejiang Chinese Medical University
  • Rush University

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Next generation sequencing (NGS) technologies have greatly facilitated the rapid and economical detection of pathogenic mutations in human disorders. However, mutation descriptions are hard to be compared and integrated due to various reference sequences and annotation tools adopted in different articles as well as the nomenclature of diseases/traits. Description. The Human Disease Associated Mutation (HDAM) database is dedicated to collect, standardize and re-annotate mutations for human diseases discovered by NGS studies. In the current release, HDAM contains 1,114 mutations, located in 669 genes and associated with 125 human diseases through literature mining. All mutation records have uniform and unequivocal descriptions of sequence changes according to the Human Genome Sequence Variation Society (HGVS) nomenclature recommendations. Each entry displays comprehensive information, including mutation location in genome (hg18/hg19), gene functional annotation, protein domain annotation, susceptible diseases, the first literature report of the mutation and etc. Moreover, new mutation-disease relationships predicted by Bayesian network are also presented under each mutation. Conclusion: HDAM contains hundreds rigorously curated human mutations from NGS studies and was created to provide a comprehensive view of these mutations that confer susceptibility to the common disorders. HDAM can be freely accessed at http://www.megabionet.org/HDAM.

Original languageEnglish
Article numberS16
JournalBMC Medical Genomics
Volume6
Issue numberSUPPL.1
DOIs
StatePublished - 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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