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.

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Latest Research and Reviews

  • Protocols |

    The percentage of cancer neoantigens that are spontaneously recognized by T cells is generally very low. This protocol describes how CD8+ T cells from healthy donors can be used for enhanced targeting of these neoantigens.

    • Muhammad Ali
    • , Zsofia Foldvari
    • , Eirini Giannakopoulou
    • , Maxi-Lu Böschen
    • , Erlend Strønen
    • , Weiwen Yang
    • , Mireille Toebes
    • , Benjamin Schubert
    • , Oliver Kohlbacher
    • , Ton N. Schumacher
    •  & Johanna Olweus
  • Research | | open

    Personalized approaches to diagnosis and treatment monitoring could improve the management of cystic fibrosis patients. Here the authors show that multiscale differential dynamic microscopy can assess changes in cilia beating dynamics and coordination in patient-derived airway epithelial cells, in response to different CFTR-modulating drugs, in a patient-specific manner.

    • M. Chioccioli
    • , L. Feriani
    • , J. Kotar
    • , P. E. Bratcher
    •  & P. Cicuta
  • Research | | open

    Structural variants (SVs) in human genomes contribute diversity and diseases. Here, the authors use a multi-platform strategy to generate haplotype-resolved SVs for three human parent–child trios.

    • Mark J. P. Chaisson
    • , Ashley D. Sanders
    • , Xuefang Zhao
    • , Ankit Malhotra
    • , David Porubsky
    • , Tobias Rausch
    • , Eugene J. Gardner
    • , Oscar L. Rodriguez
    • , Li Guo
    • , Ryan L. Collins
    • , Xian Fan
    • , Jia Wen
    • , Robert E. Handsaker
    • , Susan Fairley
    • , Zev N. Kronenberg
    • , Xiangmeng Kong
    • , Fereydoun Hormozdiari
    • , Dillon Lee
    • , Aaron M. Wenger
    • , Alex R. Hastie
    • , Danny Antaki
    • , Thomas Anantharaman
    • , Peter A. Audano
    • , Harrison Brand
    • , Stuart Cantsilieris
    • , Han Cao
    • , Eliza Cerveira
    • , Chong Chen
    • , Xintong Chen
    • , Chen-Shan Chin
    • , Zechen Chong
    • , Nelson T. Chuang
    • , Christine C. Lambert
    • , Deanna M. Church
    • , Laura Clarke
    • , Andrew Farrell
    • , Joey Flores
    • , Timur Galeev
    • , David U. Gorkin
    • , Madhusudan Gujral
    • , Victor Guryev
    • , William Haynes Heaton
    • , Jonas Korlach
    • , Sushant Kumar
    • , Jee Young Kwon
    • , Ernest T. Lam
    • , Jong Eun Lee
    • , Joyce Lee
    • , Wan-Ping Lee
    • , Sau Peng Lee
    • , Shantao Li
    • , Patrick Marks
    • , Karine Viaud-Martinez
    • , Sascha Meiers
    • , Katherine M. Munson
    • , Fabio C. P. Navarro
    • , Bradley J. Nelson
    • , Conor Nodzak
    • , Amina Noor
    • , Sofia Kyriazopoulou-Panagiotopoulou
    • , Andy W. C. Pang
    • , Yunjiang Qiu
    • , Gabriel Rosanio
    • , Mallory Ryan
    • , Adrian Stütz
    • , Diana C. J. Spierings
    • , Alistair Ward
    • , AnneMarie E. Welch
    • , Ming Xiao
    • , Wei Xu
    • , Chengsheng Zhang
    • , Qihui Zhu
    • , Xiangqun Zheng-Bradley
    • , Ernesto Lowy
    • , Sergei Yakneen
    • , Steven McCarroll
    • , Goo Jun
    • , Li Ding
    • , Chong Lek Koh
    • , Bing Ren
    • , Paul Flicek
    • , Ken Chen
    • , Mark B. Gerstein
    • , Pui-Yan Kwok
    • , Peter M. Lansdorp
    • , Gabor T. Marth
    • , Jonathan Sebat
    • , Xinghua Shi
    • , Ali Bashir
    • , Kai Ye
    • , Scott E. Devine
    • , Michael E. Talkowski
    • , Ryan E. Mills
    • , Tobias Marschall
    • , Jan O. Korbel
    • , Evan E. Eichler
    •  & Charles Lee
  • Reviews |

    Personalized multiple sclerosis therapy depends on evidence-based prognostication, an initial treatment choice and evaluation of early treatment responses to identify the need to switch therapy. In this Review, Rotstein and Montalban discuss the factors that need to be taken into account to make personalized treatment decisions.

    • Dalia Rotstein
    •  & Xavier Montalban
  • Research |

    A new standard allows the accuracy of variant calls to be assessed and compared across different technologies, variant types and genomic regions.

    • Peter Krusche
    • , Len Trigg
    • , Paul C. Boutros
    • , Christopher E. Mason
    • , Francisco M. De La Vega
    • , Benjamin L. Moore
    • , Mar Gonzalez-Porta
    • , Michael A. Eberle
    • , Zivana Tezak
    • , Samir Lababidi
    • , Rebecca Truty
    • , George Asimenos
    • , Birgit Funke
    • , Mark Fleharty
    • , Brad A. Chapman
    • , Marc Salit
    •  & Justin M. Zook
    Nature Biotechnology 37, 555-560

News and Comment

  • News and Views |

    Multi-omics longitudinal profiling of individuals can detect subtle changes in health status at the earliest possible time point, allowing preemptive initiation of mechanism-appropriate disease-prevention strategies.

    • Steven R. Steinhubl
    Nature Medicine 25, 712-714
  • Comments and Opinion | | open

    Dr. Matt Field is a Senior Research Fellow in Bioinformatics at the Australian Institute of Tropical Health and Medicine at James Cook University, co-director of the Centre for Tropical Bioinformatics and Molecular Biology, and a Chief Investigator for the Centre for Personalised Immunology, an NHMRC Centre of Research Excellence. His research focuses on developing high-throughput bioinformatic analysis pipelines and bringing genomics and personalised medicine into routine clinical practice. In this instalment of our series on early-career researchers, we asked Dr. Field to talk about his research, career trajectory, and the importance of remembering the big picture when working on projects with potential clinical impact.

  • Editorial |

    The field of cancer genomics is currently in an exciting and fast-paced era. With advances in sequencing technologies, computational approaches and tumor models, understanding of cancer processes is at an all-time high, and the application of new methods to studying cancer holds great promise for developing important breakthroughs in cancer treatment and prevention.

    Nature Genetics 51, 767