Predictive markers articles within Nature

Featured

  • Article
    | Open Access

    A meta-analysis of genome-wide association studies for 233 circulating metabolites from 33 cohorts reveals more than 400 loci and suggests probable causal genes, providing insights into metabolic pathways and disease aetiology.

    • Minna K. Karjalainen
    • , Savita Karthikeyan
    •  & Johannes Kettunen

  • Article
    | Open Access

    Blood plasma protein data was combined with machine learning models for a simple method to determine differences in organ-specific aging; the study provides a basis for the prediction of diseases and aging effects using plasma proteomics.

    • Hamilton Se-Hwee Oh
    • , Jarod Rutledge
    •  & Tony Wyss-Coray

  • Perspective |

    This Perspective reviews the utility and interpretation of circulating tumour DNA for the detection of residual and recurrent cancers and provides recommendations regarding its clinical application for a variety of solid tumours.

    • Stacey A. Cohen
    • , Minetta C. Liu
    •  & Alexey Aleshin

  • Article |

    Loss of the Y chromosome in tumour cells is associated with a poor prognosis for patients with bladder cancer by causing local T cell exhaustion, which also increases the response to immune checkpoint blockade therapy.

    • Hany A. Abdel-Hafiz
    • , Johanna M. Schafer
    •  & Dan Theodorescu

  • Article
    | Open Access

    Indole-3-acetic acid (3-IAA), a tryptophan metabolite derived from the gut microbiota, is associated with a better response to chemotherapy in pancreatic ductal adenocarcinoma (PDAC), and dietary interventions could have a role in the treatment of PDAC.

    • Joseph Tintelnot
    • , Yang Xu
    •  & Nicola Gagliani

  • Article
    | Open Access

    A cross-ancestry meta-analysis of genome-wide association studies identifies association signals for stroke and its subtypes at 89 (61 new) independent loci, reveals putative causal genes, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as potential drug targets, and provides cross-ancestry integrative risk prediction.

    • Aniket Mishra
    • , Rainer Malik
    •  & Stephanie Debette

  • Article |

    Targeted therapies matched to genomics improved progression-free survival when genomic alterations were classified as level I/II (according to ESCAT), and genomics should thus be driven by target actionability in patients with metastatic breast cancer.

    • Fabrice Andre
    • , Thomas Filleron
    •  & Ivan Bieche

  • Article
    | Open Access

    Analyses of circulating cell-free RNA (cfRNA) in blood samples from pregnant mothers identify changes in gene expression that could be used in liquid biopsy tests to identify and monitor individuals who are at risk of preeclampsia.

    • Mira N. Moufarrej
    • , Sevahn K. Vorperian
    •  & Stephen R. Quake

  • Perspective |

    The Dog Aging Project is an open-data, community science study to identify genetic, environmental and lifestyle factors associated with canine healthy lifespan, generating knowledge that could readily translate to human ageing.

    • Kate E. Creevy
    • , Joshua M. Akey
    •  & Benjamin S. Wilfond

  • Article |

    Analyses of samples from patients with acute myeloid leukaemia reveal that drug response is associated with mutational status and gene expression; the generated dataset provides a basis for future clinical and functional studies of this disease.

    • Jeffrey W. Tyner
    • , Cristina E. Tognon
    •  & Brian J. Druker

  • Article
    | Open Access

    Analyses of genomes from 914 children, adolescents, and young adults provide a comprehensive resource of genomic alterations across a spectrum of common childhood cancers.

    • Susanne N. Gröbner
    • , Barbara C. Worst
    •  & Stefan M. Pfister

  • Article |

    Circulating tumour DNA profiling in early-stage non-small-cell lung cancer can be used to track single-nucleotide variants in plasma to predict lung cancer relapse and identify tumour subclones involved in the metastatic process.

    • Christopher Abbosh
    • , Nicolai J. Birkbak
    •  & Charles Swanton

  • Letter |

    A rapid gene signature test (LSC17) that captures stem cell expression programs in acute myeloid leukaemia patients at diagnosis is associated with therapy response and survival, facilitating initial treatment stratification.

    • Stanley W. K. Ng
    • , Amanda Mitchell
    •  & Jean C. Y. Wang

  • Brief Communications Arising |

    • Zhaleh Safikhani
    • , Nehme El-Hachem
    •  & Benjamin Haibe-Kains

  • Letter |

    Many factors have been proposed as contributors to risk of alcohol abuse, but quantifying their influence has been difficult; here a longitudinal study of a large sample of adolescents and machine learning are used to generate models of predictors of current and future alcohol abuse, assessing the relative contribution of many factors, including life history, individual personality differences, brain structure and genotype.

    • Robert Whelan
    • , Richard Watts
    •  & Veronika Ziesch.

  • Perspective
    | Open Access

    A checklist of criteria to determine the readiness of high-throughput ‘omics’-based tests for guiding patient therapy in clinical trials is discussed; the checklist, developed by the US National Cancer Institute in collaboration with additional scientists with relevant expertise, provides a framework to evaluate the strength of evidence for a test and outlines practical issues to consider before using the test in a clinical setting, with an aim to avoid premature advancement of omics-based tests in clinical trials.

    • Lisa M. McShane
    • , Margaret M. Cavenagh
    •  & Barbara A. Conley

  • Letter |

    Exploration of the interacting effect of statin exposure and genetic variation on gene expression identifies a cis-eQTL that is differentially associated with expression of the GATM gene, which encodes a rate-limiting enzyme involved in creatine synthesis, and that is associated with incidence of statin-induced myopathy, the major adverse effect of statin treatment.

    • Lara M. Mangravite
    • , Barbara E. Engelhardt
    •  & Ronald M. Krauss

  • Letter |

    The Cancer Cell Line Encyclopedia presents the first results from a large-scale screen of some 947 cancer cell lines with 24 anticancer drugs, with the aim of identifying specific genomic alterations and gene expression profiles associated with selective sensitivity or resistance to potential therapeutic agents.

    • Jordi Barretina
    • , Giordano Caponigro
    •  & Levi A. Garraway

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