Essential Genes

The IMPC is seeking to identify and characterize genes that are essential for organism viability. We attempt to ascertain genes that are critical for development and health and, ultimately, associated to human disease.

Identifying which genes are linked to a rare disease is one of the most difficult challenges geneticists face. The IMPC categorizes genes into essentiality bins (FUSIL bins) by cross comparing viability and phenotyping data from knockout IMPC mice with human cell essentiality (Achilles/Avana) scores from the Cancer Dependency map. These bins range from more to less essential. Thus, genes can be categorised on how essential they are for supporting life and the likelihood they are associated with de novo genetic disorders. In this portal, we present integrated views of viability data to help researchers explore the full genetic spectrum of essentiality and aid unvailing yet unknown genetic associations to human disease. More in our blog post here.

IMPC associated publications: High-throughput discovery of novel developmental phenotypes, Nature 2016 | The IMPC: a functional catalogue of the mammalian genome that informs conservation, Conservation Genetics (Special Issue on Adaptation) 2019 | Human and mouse essentiality screens as a resource for disease gene discovery, Nature Communications 2020


Full Spectrum of Intolerence to Loss of Function


IMPC haploessential screen to study genes most important to life

Batch Query

Submit your gene list to find human and mouse essential scores

IMPC and human cell viability data

FUSIL scores available for 3783 human genes

  • CL- Cellular Essential
  • DL- Developmental Essential
  • SV- Subviable
  • VP- Viable with significant phenotype(s) detected
  • VN- Viable with no signficant phenotype detected

DL genes are enriched for de novo genetic diseases. Check the IMPC paper on gene essentiality in Nature Communications 2020.

Essential genes data portal

You can access the IMPC essential genes database using GraphQL to query and explore:

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