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Adenomas from individuals with pathogenic biallelic variants in the MUTYH and NTHL1 genes demonstrate base excision repair tumour mutational signature profiles similar to colorectal cancers, expanding potential diagnostic and variant classification applications.

Romy WalkerJi-Hoon E JooKhalid MahmoodMark ClendenningJulia ComoSusan G PrestonSharelle L JoselandBernard J PopeAna B D MedeirosBrenely V MurilloNicholas PachterKevin SweetAllan D SpigelmanAlexandra GrovesMargaret GleesonKrzysztof BernatowiczNicola PoplawskiLesley AndrewsEmma HealeySteven GallingerRobert C GrantAung K WinJohn L HopperMark A JenkinsGiovana T TorrezanChristophe RostyFinlay A MacraeIngrid M WinshipDaniel D BuchananPeter Georgeson
Published in: medRxiv : the preprint server for health sciences (2024)
cases, respectively. Therefore, testing adenomas may improve the identification of biallelic cases and facilitate variant classification, ultimately enabling opportunities for CRC prevention.
Keyphrases
  • deep learning
  • machine learning
  • intellectual disability
  • bioinformatics analysis
  • genome wide
  • copy number
  • autism spectrum disorder
  • gene expression
  • climate change
  • young adults
  • genome wide identification