Cardiovascular
From GO Public
Return to GOC Main Page
Cardiovascular GO Annotation Initiative, UCL site
Cardiovascular GO Annotation Initiative, GOC site
Rat Genome Database Cardiovascular Portal for Rat, Human and Mouse genes
Workshop for the development of the GO terms relating to Heart Development
A Cardiovascular annotation group has formed to focus on the annotation of genes associated with heart development and cardiovascular processes. The annotation of human genes associated with cardiovascular processes is funded by the British Heart Foundation grant SP/07/007/23671
We have defined a list gene products of highest interest to Cardiovascular researchers (see Defining CV-associated gene list for more information). This list includes over 4000 genes of which we prioritized 250 of these genes for annotation in the first year (see Priority Cardiovascular genes for the wiki gene records).
We would be grateful for any suggestions from cardiovascular scientists on the genes that should be included in full gene list or for gene specific information, such as publications or GO terms missing from a gene record. These suggestions can either be sent through our feedback form or by email GOannotation@ucl.ac.uk or goa@ebi.ac.uk.
Along with annotating genes associated with cardiovascular processes we are also creating new GO terms. Please use these links for a full list of cardivascular relevant GO term requests, or open cardiovascular relevant GO term requests. You will need to register with SouceForge to access these pages, which is a simple process. Once registered you will be able to comment on these new GO terms.
Useful links
Full list of cardiovascular associated genes
The ITMAT Gene List (approximately 2200 genes) was compiled by the ITMAT/Broad/CARE (IBC CHIP) Vascular Disease 50k SNP Array Consortia
Kyoto Encyclopedia of Genes and Genomes KEGG
Protein ANalysis THrough Evolutionary Relationships PANTHER
RGD has completed a Cardiovascular Disease Portal initiative in which genes associated with cardiovascular diseases, related phenotypes, biological processes and relevant pathways were prioritized for full curation including comprehensive GO annotation. This provides a great starting point for others who wish to do similar initiatives. [1]
