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Goodfire says its EVEE tool helped reclassify a hearing-loss gene variant

2 articles1 sourcesince Oct 14Last article 1h ago ·

Overview

AISummary of 2 articles

Goodfire says its interpretability system EVEE scored all 4.2 million variants in the NIH's ClinVar database in April.

The MEPE c.209_212del variant scored particularly high, and Goodfire says it built a case that got the variant reclassified as "likely pathogenic." The variant is linked to hearing loss in Goodfire's post.

Goodfire says about 2 million ClinVar variants remain classified as "uncertain" and that interpretability can help resolve many of them. Goodfire also released a write-up describing how it built EVEE, which it names as a method for explaining genetic variants.

Written by AI from the articles below · updated Oct 14, 12:38 PM ET

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Developments

2 developments

  1. Oct 14, 12:26 PM ET · 1 article
    Goodfire publishes EVEE, a tool explaining genetic variants, and a write-up of how it was made
    Goodfire: Goodfire releases EVEE, a tool for explaining genetic variants
  2. Oct 14, 12:26 PM ET · 1 article
    Goodfire says its EVEE interpretability system helped get a hearing-loss gene variant reclassified as likely pathogenic
    Goodfire: Goodfire identifies gene variant linked to hearing loss using EVEE

Article timeline

The articles in this story. Times are ET.

Oct 14
  1. GoodfireOfficial
    Goodfire releases EVEE, a tool for explaining genetic variants

    AIGoodfire announces EVEE, a method for explaining genetic variants, and links to its research write-up. The post includes a ClinVar record for one variant, number 3358411, and a link to how the team built EVEE.

  2. GoodfireOfficial
    Goodfire identifies gene variant linked to hearing loss using EVEE

    AIGoodfire says its interpretability system EVEE scored all 4.2M variants in the NIH's ClinVar database in April. The variant MEPE c.209_212del scored particularly high, and Goodfire built a case that got it reclassified as "likely pathogenic." About 2M variants remain classified as "uncertain," which Goodfire believes interpretability can help resolve.

    GIF from @GoodfireAI's post

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