Nature Communications (Jan 2018)

Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database

  • Tao Wang,
  • Chun Hui Bu,
  • Sara Hildebrand,
  • Gaoxiang Jia,
  • Owen M. Siggs,
  • Stephen Lyon,
  • David Pratt,
  • Lindsay Scott,
  • Jamie Russell,
  • Sara Ludwig,
  • Anne R. Murray,
  • Eva Marie Y. Moresco,
  • Bruce Beutler

DOI
https://doi.org/10.1038/s41467-017-02806-4
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 10

Abstract

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Programs such as PolyPhen-2 predict the relative severity of damage by missense mutations. Here, Wang et al estimate probabilities that putative null or missense alleles would reduce protein function to cause detectable phenotype by analyzing data from ENU-induced mouse mutations.