Personalized medicine

Personalized medicine is a therapeutic approach involving the use of an individual’s genetic and epigenetic information to tailor drug therapy or preventive care.

Latest Research and Reviews

News and Comment

  • Comments and Opinion |

    Increasingly sensitive tests have raised the risk overdiagnosis. Understanding a person’s chance of disease could reduce the harmful side effects of screening.

    • Natasha Gilbert
    Nature 579, S2-S4
  • Comments and Opinion |

    Genetic discrimination is one of the most pervasive challenges resulting from research and development in human genetics. To collaboratively study and prevent this ethical issue, we established an international Genetic Discrimination Observatory comprising a network of researchers and stakeholders from more than 19 jurisdictions.

    • Yann Joly
    • , Gratien Dalpé
    • , Charles Dupras
    • , Bénédicte Bévière-Boyer
    • , Aisling de Paor
    • , Edward S. Dove
    • , Palmira Granados Moreno
    • , Calvin W. L. Ho
    • , Chih-Hsing Ho
    • , Katharina Ó Cathaoir
    • , Kazuto Kato
    • , Hannah Kim
    • , Lingqiao Song
    • , Timo Minssen
    • , Pilar Nicolás
    • , Margaret Otlowski
    • , Anya E. R. Prince
    • , Athira P. S. Nair
    • , Ine Van Hoyweghen
    • , Torsten H. Voigt
    • , Chisato Yamasaki
    •  & Yvonne Bombard
    Nature Genetics 52, 466-468
  • Editorial |

    The Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium project, led by the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA), coordinated the sequencing and analysis of 2,583 tumor whole genomes across 38 cancer types. This impressively large project, comprising many working groups focusing on various molecular or genetic features of cancer, has generated valuable data for the cancer research community that will continue to be mined for many years to come.

    Nature Genetics 52, 241
  • Comments and Opinion |

    Machine learning and high-throughput technologies hold promise for the classification, diagnosis and treatment of patients with rheumatic diseases, with the ultimate goal of precision medicine. Several studies in 2019 highlight the feasibility and clinical utility of using machine learning in rheumatology to stratify patients and/or predict treatment responses.

    • Aridaman Pandit
    •  & Timothy R. D. J. Radstake