Explainable machine learning identifies a polygenic risk score as a key predictor of pancreatic cancer risk in the UK Biobank.

Journal: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
PMID: 39632152

Abstract

BACKGROUND: Predicting the risk of developing pancreatic ductal adenocarcinoma (PDAC) is of paramount importance, given its high mortality rate. Current PDAC risk prediction models rely on a limited number of variables, do not include genetics, and have a modest accuracy.

Authors

  • Giulia Peduzzi
    Department of Biology, University of Pisa, Via Luca Ghini, 13 - 56126, Pisa, Italy. Electronic address: giulia.peduzzi@biologia.unipi.it.
  • Alessio Felici
    Department of Biology, University of Pisa, Via Luca Ghini, 13 - 56126, Pisa, Italy. Electronic address: alessio.felici@phd.unipi.it.
  • Roberto Pellungrini
    Classe di scienze, Scuola Normale Superiore, Piazza dei Cavalieri, 7 - 56126, Pisa, Italy. Electronic address: roberto.pellungrini@sns.it.
  • Daniele Campa
    Department of Biology, University of Pisa, Via Luca Ghini, 13 - 56126, Pisa, Italy. Electronic address: daniele.campa@unipi.it.

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