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Showing 1–50 of 122 results
Advanced filters: Author: Kathryn F. Mills Clear advanced filters
  • An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

    • Erola Pairo-Castineira
    • Konrad Rawlik
    • J. Kenneth Baillie
    ResearchOpen Access
    Nature
    Volume: 617, P: 764-768
  • A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

    • Mari E. K. Niemi
    • Juha Karjalainen
    • Chloe Donohue
    ResearchOpen Access
    Nature
    Volume: 600, P: 472-477
  • Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

    • Athanasios Kousathanas
    • Erola Pairo-Castineira
    • J. Kenneth Baillie
    ResearchOpen Access
    Nature
    Volume: 607, P: 97-103
  • The inaugural Klebsiella Epidemiology and Biology Symposium (KLEBS) took place in November 20-22, 2024, at the Institut Pasteur in Paris. It covered a broad multidisciplinary range of topics from fundamental biology to public health aspects, including epidemiology and public health burden, One Health and clinical aspects, genomics, host-pathogen interactions, vaccines, and therapeutics. This report describes research presented during keynote presentations, plenary sessions and a panel discussion. A recording of the conference is available at: https://www.klebs-2024.conferences-pasteur.org/replay.

    • Chiara Crestani
    • Kelly L. Wyres
    • Sylvain Brisse
    News & ViewsOpen Access
    npj Antimicrobials and Resistance
    Volume: 4, P: 1-9
  • Investigations of human cardiac disease involving human pluripotent stem cell-derived cardiomyocytes are limited by the disorganized presentation of biomechanical cues resulting in cell immaturity. Here the authors develop a platform of micron-scale 2D cardiac muscle bundles to precisely deliver physiologic cues, improving reproducibility and throughput.

    • Yao-Chang Tsan
    • Samuel J. DePalma
    • Adam S. Helms
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-16
  • The PSA (KLK3) genetic variant rs17632542 is associated with reduced prostate cancer risk and lower serum PSA levels, although the underlying reasons are unclear. Here, the authors show that this PSA variant reduced proteolytic activity and leads to smaller tumours, but also increases invasion and bone metastasis, indicating its dual risk association depending on tumour context; the variant is associated with both lower risk and poor clinical outcomes.

    • Srilakshmi Srinivasan
    • Thomas Kryza
    • Jyotsna Batra
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-21
  • In this study, Aggarwal and colleagues perform prospective sequencing of SARS-CoV-2 isolates derived from asymptomatic student screening and symptomatic testing of students and staff at the University of Cambridge. They identify important factors that contributed to within university transmission and onward spread into the wider community.

    • Dinesh Aggarwal
    • Ben Warne
    • Ian G. Goodfellow
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-16
  • Melinda Mills, Nicola Barban, Harold Snieder, Marcel den Hoed and colleagues perform a meta-analysis of data from over 300,000 individuals for age at first birth and number of children ever born. They identify 12 significant loci that associate with these traits, providing insights into the genetic basis of human reproductive behavior.

    • Nicola Barban
    • Rick Jansen
    • Melinda C Mills
    Research
    Nature Genetics
    Volume: 48, P: 1462-1472
  • Mignogna et al. analysed item nonresponse behaviour across 109 questionnaire items from 360,628 individuals in the UK Biobank using phenotypic and genetic data. This can inform our understanding of how item nonresponse might lead to bias in genetic studies more generally.

    • Gianmarco Mignogna
    • Caitlin E. Carey
    • Andrea Ganna
    ResearchOpen Access
    Nature Human Behaviour
    Volume: 7, P: 1371-1387
  • Paul Pharoah and colleagues report the results of a large genome-wide association study of ovarian cancer. They identify new susceptibility loci for different epithelial ovarian cancer histotypes and use integrated analyses of genes and regulatory features at each locus to predict candidate susceptibility genes, including OBFC1.

    • Catherine M Phelan
    • Karoline B Kuchenbaecker
    • Paul D P Pharoah
    Research
    Nature Genetics
    Volume: 49, P: 680-691
  • The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

    • Marek Cmero
    • Ke Yuan
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-15
  • Clinical evidences have demonstrated limited efficacy of HER2-targeted therapies in patients with gastric cancer (GC). Here the authors show that survival benefit to anti-HER2 antibody Trastuzumab is reduced in GC patients with high levels of the caveolin-1 and that, in preclinical cancer models, antibody drug efficacy can be improved by modulating caveolin-1 levels with cholesterol-depleting drugs, statins.

    • Patrícia M. R. Pereira
    • Komal Mandleywala
    • Jason S. Lewis
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-14
  • With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

    • Matthew H. Bailey
    • William U. Meyerson
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-27
  • Analysis of colorectal cancer bulk gene expression data at the pathway level identifies a poor-prognosis subtype associated with cell differentiation. The subtypes are reproducible in single-cell data and offer biological insights beyond existing stratification strategies.

    • Sudhir B. Malla
    • Ryan M. Byrne
    • Philip D. Dunne
    ResearchOpen Access
    Nature Genetics
    Volume: 56, P: 458-472
  • Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

    • Claudia Calabrese
    • Natalie R. Davidson
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 129-136
  • Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

    • Esther Rheinbay
    • Morten Muhlig Nielsen
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 102-111
  • Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

    • Shimin Shuai
    • Federico Abascal
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12
  • Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

    • Moritz Gerstung
    • Clemency Jolly
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 122-128
  • A region on chromosome 19p13 is associated with the risk of developing ovarian and breast cancer. Here, the authors genotyped SNPs in this region in thousands of breast and ovarian cancer patients and identified SNPs associated with three genes, which were analysed with functional studies.

    • Kate Lawrenson
    • Siddhartha Kar
    • Simon A. Gayther
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-22
  • The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

    • Lauri A. Aaltonen
    • Federico Abascal
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 82-93
  • Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

    • Yulia Rubanova
    • Ruian Shi
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12
  • Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

    • Marc Zapatka
    • Ivan Borozan
    • Christian von Mering
    ResearchOpen Access
    Nature Genetics
    Volume: 52, P: 320-330
  • In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

    • Yiqun Zhang
    • Fengju Chen
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-14
  • A comprehensive multi-omic analysis of the EPISTOP trial for Tuberous Sclerosis Complex (TSC). was performed. Here, authors show many differences in serum proteins and metabolites, and blood RNA species, including associations with seizure development.

    • Franz Huschner
    • Jagoda GÅ‚owacka-Walas
    • David J. Kwiatkowski
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-15
  • Rheumatic heart disease (RHD) is a chronic auto-inflammatory reaction to group A streptococcal infection, and frequently occurs in individuals from the South Pacific. This study finds a novel association between an immunoglobulin heavy chain allele and risk of RHD in Pacific Islanders and South Asians.

    • Tom Parks
    • Mariana M. Mirabel
    • Brenton Ward
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-10
  • Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

    • Matthew A. Reyna
    • David Haan
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-17
  • In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

    • Lina Sieverling
    • Chen Hong
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-13
  • Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

    • Yilong Li
    • Nicola D. Roberts
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 112-121
  • Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

    • Marta Paczkowska
    • Jonathan Barenboim
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-16
  • The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

    • Ludmil B. Alexandrov
    • Jaegil Kim
    • Christian von Mering
    ResearchOpen Access
    Nature
    Volume: 578, P: 94-101
  • Genome-wide analyses of vaccine antibody responses in 2,499 infants from Uganda, South Africa and Burkina Faso identify associations between specific HLA genes and response to eight vaccines, providing insights that could be considered for population-adjusted vaccine design strategies.

    • Alexander J. Mentzer
    • Alexander T. Dilthey
    • Manjinder S. Sandhu
    ResearchOpen Access
    Nature Medicine
    Volume: 30, P: 1384-1394
  • There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

    • Constance H. Li
    • Stephenie D. Prokopec
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-24
  • Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

    • Wei Jiao
    • Gurnit Atwal
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12
  • Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

    • Vinayak Bhandari
    • Constance H. Li
    • Christian von Mering
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-10
  • Chiea Chuen Khor, Tin Aung, Francesca Pasutto, Janey Wiggs and colleagues report a global genome-wide association study of exfoliation syndrome and a fine-mapping analysis of a previously identified disease-associated locus, LOXL1. They identify a rare protective variant in LOXL1 exclusive to the Japanese population and five new common variant susceptibility loci.

    • Tin Aung
    • Mineo Ozaki
    • Chiea Chuen Khor
    Research
    Nature Genetics
    Volume: 49, P: 993-1004
  • In this study, Vande Voorde et al. investigate the potential of untargeted metabolomics as a stratification tool for colorectal cancer (CRC). They present a comprehensive pipeline to uncover metabolic vulnerabilities in CRC based on its genetic origin. With this approach, they show perturbations in methionine metabolism linked to APC deficiency, and identify adenosylhomocysteinase as an actionable therapeutic target.

    • Johan Vande Voorde
    • Rory T. Steven
    • Owen J. Sansom
    ResearchOpen Access
    Nature Metabolism
    Volume: 5, P: 1303-1318