However, the search results such as the number of targets and profiles of them are different. For example, for term “attention deficit hyperactivity disorder”: 1617 targets without any animal models recording; but for term “attention deficit-hyperactivity disorder”: 2427 targets and most of them have animal models recordings. For the same gene (such as DRD2), evidences of the same disorder are different. This seems strange.
So, my questions are:
I’m confused about the reasons of the differences.
What’s more, what should I do to find all evidences of ADHD in your platform?
Maybe I can download two tables.tsv of these terms then combine them, but how to deal with the differences of “overall association score” for the same gene?
These information provided by Open Target Platform are important for my research projects. Thanks for providing the useful tool of Open Targets Platform. It’s convenient for users to search all evidences of interested genes and diseases.
This means that evidence for EFO_0003888 is considered indirect evidence for MONDO_0007743. When searching for targets associated with MONDO_0007743 in the Platform, or displaying all evidence for the association of a target with MONDO_0007743, this will also display evidence from the child term, EFO_0003888.
In other words, you should find all evidence for ADHD by searching for attention deficity-hyperactivity disorder. You can query this in the GraphQL API, or use our data downloads direct and indirect evidence files.
Thank you so much for posting and dealing with this. I’ve seen all the informaiton you mentioned above, that’s clear and helpful.
Only one thing I still want to make sure. As you said “displaying all evidence for the association of a target with MONDO_0007743, this will also display evidence from the child term, EFO_0003888.”, does it mean the evidence of the child term will also display in the MONDO_0007743? I think it should be yes, but the Bibliography of MONDO_0007743 only contains 12 publications.