# Credible set variants with PIP but no L2G score

**URL:** <https://community.opentargets.org/t/credible-set-variants-with-pip-but-no-l2g-score/1818>\
**Category:** GraphQL API\
**Tags:** data\
**Created:** [5 June 2025 22:08 UTC](https://community.opentargets.org/t/credible-set-variants-with-pip-but-no-l2g-score/1818 "2025-06-05T22:08:54Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![mjatoi](https://avatars.discourse-cdn.com/v4/letter/m/f08c70/32.png) [@mjatoi](https://community.opentargets.org/u/mjatoi)\
**Post date:** [5 June 2025 22:08 UTC](https://community.opentargets.org/t/credible-set-variants-with-pip-but-no-l2g-score/1818/1 "2025-06-05T22:08:54Z")

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Hi there,

When querying for variants that are in Open Targets in R, I noticed that some credible set variants have a posterior probability but do not have a L2G score; is this because “all [L2G] predictions below 0.05 are filtered out” with all of the data, or does the filtering only apply to the Platform website?

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**Author:** ![ochoa](https://dub1.discourse-cdn.com/flex017/user_avatar/community.opentargets.org/ochoa/32/189_2.png) [@ochoa](https://community.opentargets.org/u/ochoa)\
**Post date:** [6 June 2025 08:43 UTC](https://community.opentargets.org/t/credible-set-variants-with-pip-but-no-l2g-score/1818/2 "2025-06-06T08:43:32Z")

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Hi @mjatoi,

All predictions below 0.05 are filtered out, from data, API and web.

The expectation is that if you didn’t find any L2G \> 0.05, the model couldn’t produce even a vague prediction of the likely causal gene. There could be many reasons for that. For example, the causal gene could be beyond the cis-window under analysis or be a non-protein coding gene which are currently discarded. Future improvements in L2G will aim to improve our resolution on finding causal genes but at the moment we don’t have a reasonable prediction for such credible sets.

If strictly required, L2G \< 0.05 can be recreated using [gentropy](https://github.com/opentargets/gentropy) and running the `locus_to_gene`.

I hope this helps 🙂