The Human Disease Ontology (DO), organized as a directed acyclic graph, represents a knowledge base of inherited, environmental, infectious diseases (http://www.disease-ontology.org). DO's textual definition model incorporates a semi-structured format describing the disease etiology built to capture the complex nature of human disease etiology within a is_a hierarchy. DO includes disease concepts for cancer, metabolic disease, infectious disease, mental disorders, genetic disease and syndromes. DO contains disease definitions, external references to resources including ICD, NCI-metathesaurus, SNOMED, MeSH and OMIM and extended relationships that conform to OBO guidelines. DO provides a central ‘switchboard’ for connecting resources, datasets, and computational tools that include disease terms or relationships.
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Human Disease Ontology Project presented at ISB's Biocurator meeting April 2014
1. Lynn M. Schriml
University of Maryland, School of Medicine
Institute for Genome Sciences
lschriml@som.umaryland.edu
The Disease Ontology: an evolving tool for Disease
Curation and Annotation
Warren A. Kibbe
NU Clinical and Translational
Sciences Institute
(NUCATS), Northwestern University
3. Human Genome Project
FISH
2001
Model Organisms
Microbial Genomics – Tree of Life
1995 – first bacteria sequenced
H. influenzae
Metagenome Sequencing
Human Microbiome
Genomes
8. DO v3: reorganization by UMLS disease concepts
mappings to SNOMED CT and ICD-9
DO http://www.disease-ontology.org
2011
2004
Rex Chisholm & Kibbe (Northwestern): founded DO
DO v1: ICD-9 as foundational vocabulary
DO v2: DO reorganized by process, system
affected, and cause (genetic
disorders, infectious diseases, metabolic
disorders)
MeSH added
2008
DO R01 (ARRA, NIH/NCRR, R01RR025342)
DO Advisory Board
(Michael Ashburner, Suzi Lewis, Barry Smith, Alan
Ruttenberg, Chris Mungall, Judy Blake, Rex Chisholm)
DO submitted to OBO Foundry
2006
Cell Line Ontology
Susan Tweedie, Nick Brown
Epilepsy Syndromes
Johanna Albers, Ingo
Helbig
IEDB: Disease Finder
2014
2013 PubChemDO Community Development
OMIM
PRO
Reactome
Building DO
9. The Disease Ontology provides a
unifying structure to map
human disease knowledge
between datasets
patient records
genome sequencing
microbiome samples
drug targets
expression studies
model organism disease models
human genes
KEGG pathways
11. Domain Ontology Application Ontologies
IDO: Influenza
Ontology
ADO: Alzheimer’s disease ontology
Pathogenic disease ontology version 0.1
ProteomeXchange
Sample annotation:
- Cell type. Use the “Cell Type” ontology (CL);
- Disease. Use the “Human Disease” ontology (DOID).
Metadata Standard and Data Exchange Specifications to
Describe, Model, and Integrate Complex and Diverse High-Throughput
Screening Data from the Library of Integrated Network-based Cellular
Signatures (LINCS)
GSC MIxS metadata standard: diseases status, for humans the terms
should be chosen from DO (Disease Ontology)
- a concept mapping tool
- a data annotation tool
12. HPO
Human Phenotype
Ontology
Gene Wiki
DO Community
Samples, Phenotypes, Ontology Team
Sifem Inner
Ear disease
Improving the quality and content of DO
Serving Our Community
• Term requests & review
• Integrating rare diseases
• Coordinating development
with clinicians
Providing support for disease
curation & annotation
15. Community Relationships and Collaborative Development
FlyBase disease model annotation
disease annotations to over 1000 different alleles from around 500 different genes
using nearly 100 distinct disease ontology terms based on phenotypes described in
around 300 papers. http://flybase.org
WormBase: Human disease model data
Curated and orthology-based human disease related data for genes
Currently, over 250 genes have been manually curated, for their relevance to human
disease and several hundred genes are flagged as potential models, based on
orthology to human disease genes.http://www.wormbase.org
OMIM: DOs 947 OMIM xref annotations utilized for OMIM API
Reactome: To identify disease-associated entities and events, a new
‘disease’ attribute is added, taking its value terms from a disease ontology.
Protein Ontology (PRO): Disease references are curated DO mappings.
http://pir.georgetown.edu/pro/pro.shtml
16. Ongoing Collaborative Development of Diseases Terms
Mental Health Diseases
Cardiovascular Diseases
Sleep disorders
Diseases of the Inner Ear
Cancer
Syndromes
pulmonary hypertension
DO to OMIM mappings
DO to SNOMED mappings
sequence variants and genetic disorders
Multiple Sclerosis disease subtypes
DO-EFO mappings
DO-GWAS catalog disease mappings
17. • Follow DO on twitter
• Send us your disease terms DO Term Tracker - Submit new terms, definitions or
suggestions for the Disease Ontology to the DO Term Tracker.
http://sourceforge.net/p/diseaseontology/feature-requests/
• Download DO:
http://sourceforge.net/p/diseaseontology/code/HEAD/tree/trunk/HumanDO.obo
Notas del editor
Genome perspective: genome of organism, diversity of organisms, organisms connected to human healthSelect representative samples, organismsWho and What to Sequence ? what to study, how to sample and analyze the specimen, and the sample descriptive data how the analysis of the microbiome will be impacted if the sample recovery is biased
NIF: Neuroscience Information NetworkNugene: collects and stores genetic (DNA) samples along with EHRs. DO data contributors: [additional] Saul Lozano (Dengue),IDO: Influenza Ontology,Richard Scheuermann: Viral BRC,Gemina: Lynn Schriml
human disease – classified by disease etiology 8,000 + diseases
DO provides a unifying disease terminology DO: a tool for semantic querying and data retrieval
WormBase: Ranjana Kishore @ CaltechPubChem: Evan Bolton & Gang Fu @ NCBIGeneWiki: Andrew Su and Ben Good @ ScrippsNeuroDevNet: Elodie Portales-CasamarEMBL-EBI, EFO/ArrayExpress: Helen Parkinson & James MaloneFlyBase: Susan TweediePomBase: Antonia LockGeorge Washington University, Hive: Raja MazumderPrinceton University: Lewis-Sigler Institute for Integrative Genomics, GO Tools:MichaelLivstoneSifem, Inner ear disease: Marrgie JonesOMIM: Francois Schiettecatte, Joanna Amberger : OMIM APIReactome: BijayJassalCognitive Atlas Project: Russell Poldrack, Univ Texas