Replies: 6 comments
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Unfortunately they seem to use their own variant id system, so annotating with them would make the most sense. But, there some more complicated options available from the API. First, their API would allow a two stage process of searching for matches to dbSNP ids, which would then return a link to be added. This could be automated fully, so it's the one I would suggest we go for for now. Then there is a "free text" type search (with the |
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Hi, I saw a somewhat similar system in the last months VEP release called AVADA. The publication included some of the HGMD authors. While it may or may not be true anymore that they are most complete today, at least it should be very easy to integrate in pipelines and Scout. |
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Sounds interesting. I guess the challenge with evaluating different systems is benchmarking against a truth set, and also trying to understand how "official" and/or long term a specific project is. I don't know if AVADA has been updated since the 2020 publication, and I don't know if it is supported by any larger organization? But I guess the inclusion in VEP holds some promise. |
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I don't have any inside info on this. Some further digging seems to indicate the new plugin is using the grch37 results from the 2016 literature dump, which cools my initial enthusiasm considerably. I guess let's keep monitoring. So far, no changes on the LitVar2 API/download side. |
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VEP also has a plugin for Mastermind, the Genomenon effort, which has continuously updated to public downloadable data releases (https://www.genomenon.com/cvr/), with variant ids linking back to their site. The site has a free "fair use" policy, but quite quickly will stop showing hits and asking for a PRO license. If we have users that anyway use them this might be acceptable. |
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I think a Mastermind integration could be useful. |
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It might be useful to integrate LitVar 2.0 API calls on the SNV/INDELs variant pages, https://www.ncbi.nlm.nih.gov/research/litvar2/api
While it appears that LitVar is still less comprehensive than HGMD or Genomenon MasterMind, LitVar is fully open source and an official NCBI project that connects to other relevant databases. Furthermore, with version 2.0 the number of searchable published variants have increased from just under 2 million to almost 14 million variants ( https://pubmed.ncbi.nlm.nih.gov/37268776/ ).
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