We need to know every factor which determines lifespan.

Lifespan factors often but not always originate from defined genetic elements. They are not just genes, by definition they can be anything for which a Classifications schema can be build for that is related to the regulation of lifespan, such entities may include Single-Nucleotide Polymorphism, transcript variants, proteins and their complexes, compounds (i.e. small molecules like metabolites and drugs), etc. A factor should be based on a defined molecular entity or genomic position and been classified. It shall be highly flexible and scalable Concept.

While individual lifespan factors within each species or precise defined molecular entities will be captured within the Lifespan App, Data Entries of the Data App may summarize for instance the relevance of each factor class (e.g. homologous group; chemical derivate of related structure and properties, etc.) as well as draw overall conclusions. o


  • Species: + -
  • Classifications: + -
  • Types: + -
  • symbol name observation species
    Gnas GNAS (guanine nucleotide binding protein, alpha stimulating) complex locus Mutants in which the Gnasxl transcript is deleted from the Gnas gene, have a high metabolism and are very lean despite consuming more food. The mutant appears to have fewer glial cells in the suprachiasmatic nucleus where the circadian clock is controlled [22253771]. House mouse
    • 1 factor
    Factors are an extension of GenAge and GenDR.

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