Genomic analysis articles within Nature Reviews Nephrology

Featured

  • Review Article |

    Spatially resolved transcriptomic technologies enable the mapping of transcripts at single-cell or near single-cell resolution in a multiplex manner. This Review describes current and emerging spatial transcriptomic methods, their applications of relevance to kidney biology and remaining challenges for the field.

    • Sanjay Jain
    •  & Michael T. Eadon

  • Review Article |

    Studies of lineage relationships in the mouse have advanced the understanding of kidney development and repair. Here, the authors discuss these advances as well as how the application of lineage tools to kidney organoids will facilitate studies of human lineage relationships.

    • Melissa H. Little
    • , Sara E. Howden
    •  & Jessica M. Vanslambrouck

  • News & Views |

    A recent metabolite genome-wide association study (mGWAS) investigated the relationship between genetic factors and the urine metabolome in kidney disease. The findings demonstrate that mGWAS hold promise for identifying novel genetic factors involved in adsorption, distribution, metabolism and excretion of metabolites and pharmaceuticals, as well as biomarkers for disease progression.

    • Daniel Montemayor
    •  & Kumar Sharma

  • News & Views |

    A new study links pathogenic cubilin gene (CUBN) variants to proteinuria without progressive renal impairment, providing reassurance for a subset of patients, calling into question the accepted pathogenesis of glomerulosclerosis and suggesting future therapeutic options.

    • Catherine Quinlan

  • Editorial |

    The increasing volumes of biological and clinical data have the potential to greatly enhance our understanding of the processes underlying kidney function and disease. However, maximizing outputs from these data requires a collaborative and open approach to data sharing that can only be achieved through united efforts by researchers, funders and publishers.

  • Comment |

    To advance kidney discovery, our community is driven to maximize the utility of genomic data that we all generate. We can best accomplish this through excellence in appropriately incorporating publicly available genomic data into our research efforts and by enthusiastically embracing widespread data sharing in a manner that facilitates its broad use.

    • Matthew G. Sampson
    •  & Hyun Min Kang

  • News & Views |

    A new study used genome-wide association data and Mendelian randomization to investigate associations between the gut microbiome and metabolic traits. The researchers demonstrate that host genetic variants influence levels of the short-chain fatty acids butyrate and propionate in the gut, which in turn modulate host glycaemic metabolism.

    • Wei Ling Lau
    •  & Nosratola D. Vaziri

  • News & Views |

    Chronic kidney disease (CKD) is often clinically silent and traditional clinical data alone cannot differentiate disease subtypes. A recent study of the genetic basis of CKD in adults that examined the prevalence of monogenic kidney disease aetiologies supports the use of genetic analysis to improve diagnostics and treatment in CKD.

    • Asaf Vivante
    •  & Karl Skorecki

  • News & Views |

    A new study discovered thousands of expression quantitative trait loci (eQTLs) in the renal glomerular and tubulointerstitial compartments and integrated these data with other omics data sets to identify genes with roles in the pathogenesis of chronic kidney disease. This report reinforces the necessity of using compartment-derived eQTLs to advance kidney genomic discovery.

    • Matthew G. Sampson

  • News & Views |

    Pre-eclampsia is a common disorder of pregnancy for which the underlying mechanism is poorly understood. A genome-wide association study has now identified a pre-eclampsia susceptibility locus located near the FLT1 gene. This study brings us a step closer to dissecting the underlying causes of pre-eclampsia.

    • Eric M. George
    •  & Joey P. Granger

  • Review Article |

    Epigenetic machinery and chromatin remodelling complexes are disrupted in >80% of clear cell renal cell carcinoma tumours. Here, the authors discuss the impact of genomics in identifying genes that affect susceptibility to renal cell carcinoma as well as the opportunities for a precision medicine approach to diagnosis and treatment.

    • Yasser Riazalhosseini
    •  & Mark Lathrop

Browse broader subjects

Browse narrower subjects

Browse Genomic analysis across other nature.com journals