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Showing 1–50 of 207 results
Advanced filters: Author: Benjamin I. Perry Clear advanced filters
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

    • Joshua S. Weinstock
    • Jayakrishnan Gopakumar
    • Siddhartha Jaiswal
    Research
    Nature
    Volume: 616, P: 755-763
  • 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
  • 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
  • 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
  • John Perry and colleagues report the results of a large genome-wide association study meta-analysis to identify variants influencing age at natural menopause. They identify 54 independent signals and find enrichment near genes involved in delayed puberty and DNA damage response.

    • Felix R Day
    • Katherine S Ruth
    • Anna Murray
    Research
    Nature Genetics
    Volume: 47, P: 1294-1303
  • Genetic analyses identify widespread sex-differential participation bias in population-based studies and show how this bias can lead to incorrect inferences. These findings highlight new challenges for association studies as sample sizes continue to grow.

    • Nicola Pirastu
    • Mattia Cordioli
    • Andrea Ganna
    Research
    Nature Genetics
    Volume: 53, P: 663-671
  • 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
  • Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.

    • David W Clark
    • Yukinori Okada
    • James F Wilson
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-17
  • Field-effect transistors based on semiconductor nanocrystals are promising candidates for low-cost, flexible electronics. This work demonstrates fabrication on flexible substrates and low-voltage operations of integrated circuits based on nanocrystal transistors, including amplifiers and ring oscillators.

    • David K. Kim
    • Yuming Lai
    • Cherie R. Kagan
    Research
    Nature Communications
    Volume: 3, P: 1-6
  • 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
  • Oncologic tumour resection is not fully accurate. Here the authors report a label-free virtual histological imaging method based on a non-contact, reflection-mode ultraviolet photoacoustic remote sensing and scattering microscope, combined with unsupervised deep learning using a cycle-consistent GAN.

    • Matthew T. Martell
    • Nathaniel J. M. Haven
    • Roger J. Zemp
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-17
  • 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
  • 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
  • Sequencing data from two large-scale studies show that most of the genetic variation influencing the risk of type 2 diabetes involves common alleles and is found in regions previously identified by genome-wide association studies, clarifying the genetic architecture of this disease.

    • Christian Fuchsberger
    • Jason Flannick
    • Mark I. McCarthy
    Research
    Nature
    Volume: 536, P: 41-47
  • Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

    • Céline Bellenguez
    • Fahri Küçükali
    • Jean-Charles Lambert
    ResearchOpen Access
    Nature Genetics
    Volume: 54, P: 412-436
  • 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
  • A study shows that clonal haematopoiesis of indeterminate potential is associated with an increased risk of chronic liver disease specifically through the promotion of liver inflammation and injury.

    • Waihay J. Wong
    • Connor Emdin
    • Pradeep Natarajan
    Research
    Nature
    Volume: 616, P: 747-754
  • 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
  • The goals, resources and design of the NHLBI Trans-Omics for Precision Medicine (TOPMed) programme are described, and analyses of rare variants detected in the first 53,831 samples provide insights into mutational processes and recent human evolutionary history.

    • Daniel Taliun
    • Daniel N. Harris
    • Gonçalo R. Abecasis
    ResearchOpen Access
    Nature
    Volume: 590, P: 290-299
  • A study generates a clinicogenomics dataset resource, MSK-CHORD, that combines natural language processing-derived clinical annotations with patient medical data from various sources to improve models of cancer outcome.

    • Justin Jee
    • Christopher Fong
    • Xinran Bi
    ResearchOpen Access
    Nature
    Volume: 636, P: 728-736
  • Silicon-vacancy centres in diamond are promising candidates as emitters in photonic quantum networks, but their coherence is degraded by large electron-phonon interactions. Sohn et al. demonstrate the use of strain to tune a silicon vacancy’s electronic structure and suppress phonon-mediated decoherence.

    • Young-Ik Sohn
    • Srujan Meesala
    • Marko Lončar
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-6
  • Phagocytosis is regulated by the mechanical properties of both the phagocyte and its cargo. Here, the authors show that macrophages employ β2 integrins to sense the rigidity of phagocytic cargo and then mount the appropriate form of engulfment.

    • Alexander H. Settle
    • Benjamin Y. Winer
    • Morgan Huse
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-20