MGI data not linking through correctly

Thanks for the excellent 25.12 release!

I randomly found that the mouse model evidence information in the target prioritization factor view does not link through to the MGI. For example, for Slc25a13 and the first phenotype (abnormal amino acid level) the two allelic composition links go into the void, as opposed to Slc25a13<tm1Lct> Targeted Allele Detail MGI Mouse (MGI:3028639) for the first one (Slc25a13tm1Lct/Slc25a13+).

Hi,

Thanks for reporting this. We are aware of the issue and currently working on a fix. Apologies for any inconvenience caused.

All the best,

Graham

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I’m experiencing an issue related to this where the API call is not returning MGI ID’s or literature references for models. I’m assuming this is related and wondering if there is a fix coming.

Thanks for your continued work on this platform!

Hi, yes, you are right, what you are (not) seeing on the API response is related to the above mentioned bug. The current response of a model looks like this:

        {
          "targetInModel": "Wrn",
          "targetInModelMgiId": "MGI:109635",
          "modelPhenotypeId": "MP:0001559",
          "modelPhenotypeLabel": "hyperglycemia",
          "modelPhenotypeClasses": [
            {
              "id": "MP:0005376",
              "label": "homeostasis/metabolism phenotype"
            }
          ],
          "biologicalModels": [
            {
              "id": null,
              "allelicComposition": "Wrn<tm1Led>/Wrn<tm1Led>",
              "geneticBackground": "B6.129S6(BKSW)-Wrn<tm1Led>",
              "literature": null
            }
          ]
        }

However in the upcoming 26.03 release the response of the same model look like this:

        {
          "targetInModel": "Wrn",
          "targetInModelMgiId": "MGI:109635",
          "modelPhenotypeId": "MP:0001559",
          "modelPhenotypeLabel": "hyperglycemia",
          "modelPhenotypeClasses": [
            {
              "id": "MP:0005376",
              "label": "homeostasis/metabolism phenotype"
            }
          ],
          "biologicalModels": [
            {
              "id": "MGI:3665480",
              "allelicComposition": "Wrn<tm1Led>/Wrn<tm1Led>",
              "geneticBackground": "B6.129S6(BKSW)-Wrn<tm1Led>",
              "literature": [
                "16330174",
                "15235603"
              ]
            }
          ]
        }

Hang on, the release is scheduled for next week.

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thanks very much for the update. I will test the new output with the latest release.

Best,

Seamus