Introducing dAUTObase: a first step towards the global scale geoepidemiology of autoimmune syndromes and diseases

Bioinformatics. 2015 Feb 15;31(4):581-6. doi: 10.1093/bioinformatics/btu690. Epub 2014 Oct 20.

Abstract

Motivation: An autoimmune disorder occurs when the immune system mistakenly attacks and destroys its own healthy body tissues. The initiation of a geoepidemiological database, for recording autoimmune incidents with a focus to clinical manifestations, demographic parameters and geographic background is crucial to detect correlations.

Results: The dAUTObase collects an ever increasing number of publications-currently counting 435-on autoimmune diseases' frequencies in various populations and ethnic groups. The respective data have been hosted by a web application developed for the task. It uses three data visualization tools: the PivotViewer, the Disease Treemap and the Disease World Map, to assist the effective data querying.

Availability and implementation: The dAUTObase 2.0 version (www.biodata.gr/dautobase) needs no registration for querying, but data entry and modification is reserved for registered users (curators-administrators).

Contact: kpoulas@upatras.gr or tzimas@cti.gr.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Autoimmune Diseases / epidemiology*
  • Autoimmune Diseases / genetics*
  • Computational Biology / methods*
  • Databases, Genetic*
  • Diabetes Mellitus, Type 1 / epidemiology
  • Diabetes Mellitus, Type 1 / genetics
  • Ethnicity / genetics*
  • Female
  • Genetics, Population / methods
  • Genome, Human*
  • Global Health
  • Humans
  • Male
  • Software*
  • Syndrome