Evee provides predictions and mechanistic explanations for 4.2 million genetic variants across the whole human genome

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• EVEE provides mechanistic explanations for variant effects derived from model internals, not just pathogenicity calls.claim0.827
  Core interpretability claim distinguishing EVEE from black-box prediction tools; applies interpretability for science.
• Evee outperforms existing methods for variant pathogenicity predictionclaim0.800
  Interpretive claim supported by the high AUROC findings.
• Evee variant effect prediction methodmethod0.776
  The method that predicts and explains variant pathogenicity using Evo 2, producing disruption profiles.
• Model internals of genomic foundation models can yield mechanistic explanations for variant effectsclaim0.717
  Foundational interpretability claim that the paper exemplifies.
• I believe it will also turn out to be the secret of the evolution of the genes controlling the living structure of the Earth.hypothesis0.715
  Predicts that the principle of small, independent process genes will drive evolution of the built environment.
• MCA generates cryptic variance: many mutations neutralized by developmental regulation persist as a hidden diversity pool exploitable in future environments.claim0.712
  Subclaim.
• Evolution is more intelligent than we realised.claim0.711
  Watson's reinterpretation of formal equivalence between evolution and learning, beyond random variation framework.
• The number of atoms involved in the responsible gene structure is likely to be very small, yet it displays a most regular and lawful activity with a durability that borders upon the miraculous, remaining unperturbed by the disordering tendency of heat motion for centuries.claim0.711
  Schrödinger's statement of the puzzle that quantum mechanics resolves.