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Showing 1–50 of 363 results
Advanced filters: Author: Johan Richard Clear advanced filters
  • Here, the authors perform large trans-ancestry fine-mapping analyses identifying large numbers of association signals and putative target genes for colorectal cancer risk, advancing our understanding of the genetic and biological basis of this cancer.

    • Zhishan Chen
    • Xingyi Guo
    • Wei Zheng
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-17
  • This study shows that Bacillus subtilis switches from a solitary, motile lifestyle to a multicellular, sessile state in a random, memoryless fashion, but that the underlying gene network is buffered against its own stochastic variation to tightly time the reverse transition; thus bacteria keep track of time to force their progeny to cooperate during the earliest stage of multicellular growth.

    • Thomas M. Norman
    • Nathan D. Lord
    • Richard Losick
    Research
    Nature
    Volume: 503, P: 481-486
  • X-ray Free Electron Lasers allow fast structure determination. Here, the authors push the temporal limit of atomic level structure determination to 25 fs, the length of a single pulse, paving the way to the study of fast, non-repeatable processes.

    • Gábor Bortel
    • Miklós Tegze
    • Gyula Faigel
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-7
  • Timothy Frayling, Joel Hirschhorn, Peter Visscher and colleagues report a meta-analysis of genome-wide association studies for adult height in 253,288 individuals. They identify 697 variants in 423 loci significantly associated with adult height and find that these variants cluster in pathways involved in growth and together explain one-fifth of the heritability for this trait.

    • Andrew R Wood
    • Tonu Esko
    • Timothy M Frayling
    Research
    Nature Genetics
    Volume: 46, P: 1173-1186
  • Genome-wide association meta-analyses of waist-to-hip ratio adjusted for body mass index in more than 224,000 individuals identify 49 loci, 33 of which are new and many showing significant sexual dimorphism with a stronger effect in women; pathway analyses implicate adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution.

    • Dmitry Shungin
    • Thomas W. Winkler
    • Karen L Mohlke
    Research
    Nature
    Volume: 518, P: 187-196
  • A genome-wide association study and Metabochip meta-analysis of body mass index (BMI) detects 97 BMI-associated loci, of which 56 were novel, and many loci have effects on other metabolic phenotypes; pathway analyses implicate the central nervous system in obesity susceptibility and new pathways such as those related to synaptic function, energy metabolism, lipid biology and adipogenesis.

    • Adam E. Locke
    • Bratati Kahali
    • Elizabeth K. Speliotes
    Research
    Nature
    Volume: 518, P: 197-206
  • Many genetic loci have been identified to be associated with kidney disease, but the molecular mechanisms are not well understood. Here, the authors perform epigenome-wide association studies on kidney function measures to identify epigenetic marks and pathways involved in kidney function.

    • Pascal Schlosser
    • Adrienne Tin
    • Alexander Teumer
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-16
  • Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

    • Andrew D. Grotzinger
    • Josefin Werme
    • Jordan W. Smoller
    ResearchOpen Access
    Nature
    Volume: 649, P: 406-415
  • Probabilistic computing has emerged as a powerful route for tackling hard optimization. Here, authors show p-computers co-designed with modern hardware to run Monte Carlo algorithms solve hard optimization efficiently and establish a rigorous classical baseline to assess practical quantum advantage.

    • Shuvro Chowdhury
    • Navid Anjum Aadit
    • Kerem Y. Camsari
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-10
  • A group of microbiome researchers discuss some of the challenges in developing a new generation of microbiome therapies.

    • Gaspar Taroncher-Oldenburg
    • Susan Jones
    • Jun Wang
    Special Features
    Nature Biotechnology
    Volume: 36, P: 1037-1042
  • 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 multi-ancestry genome-wide association study meta-analysis, combined with transcriptome- and methylome-wide association analyses, identifies risk loci associated with colorectal cancer. Credible effector genes and their target tissues are also highlighted, showing that over a third probably act outside the colonic mucosa.

    • Ceres Fernandez-Rozadilla
    • Maria Timofeeva
    • Ulrike Peters
    Research
    Nature Genetics
    Volume: 55, P: 89-99
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

    • Vassily Trubetskoy
    • Antonio F. Pardiñas
    • Jim van Os
    Research
    Nature
    Volume: 604, P: 502-508
  • Phaeocystales are ecologically significant nanoplankton whose evolutionary history and functional diversity remain incompletely characterized. Here, the authors integrate genomic and transcriptomic data to reveal their lineage diversification, metabolic plasticity, and adaptation to polar and temperate regimes.

    • Zoltán Füssy
    • Robert H. Lampe
    • Andrew E. Allen
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-18
  • Femtosecond X-ray free electron laser (XFEL) pulses enable structure analysis of single particles by diffraction, outrunning radiation damage and avoiding ensemble averaging. Here, the authors inject single lipid vesicles sequentially into an XFEL beam, and analyze the small-angle scattering for each hit to retrieve the radial electron density profile at a resolution high enough to resolve the lipid bilayer.

    • Charlotte Neuhaus
    • Moritz L. Stammer
    • Tim Salditt
    ResearchOpen Access
    Communications Physics
    Volume: 9, P: 1-10
  • P. falciparum (malaria) transmission includes the development of male and female parasite forms called gametocytes, which are taken up by the Anopheles mosquito. The authors of this study use single cell transcriptomics to define the transcriptional programs, identify key regulators and predict novel genes, involved in driving the male and female sexual cell fates.

    • Mubasher Mohammed
    • Alexis Dziedziech
    • Johan Ankarklev
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-20
  • Medulloblastoma is the most common malignant brain tumour in children; having assembled over 1,000 samples the authors report that somatic copy number aberrations are common in medulloblastoma, in particular a tandem duplication of SNCAIP, a gene associated with Parkinson’s disease, which is restricted to subgroup 4α, and translocations of PVT1, which are restricted to Group 3.

    • Paul A. Northcott
    • David J. H. Shih
    • Michael D. Taylor
    ResearchOpen Access
    Nature
    Volume: 488, P: 49-56