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Showing 1–50 of 280 results
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  • The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

    • Alex G. Contreras
    • Skylar Walters
    • Timothy J. Hohman
    ResearchOpen Access
    Nature Communications
    P: 1-17
    • Richard Webb
    News & Views
    Nature Physics
    Volume: 4, P: 355
  • Five-year survival data and biomarker analysis of the PRADO extension cohort of the phase 2 OpACIN-neo trial, in which patients with high-risk stage III melanoma received neoadjuvant ipilimumab and nivolumab and underwent pathologic response-directed surgery and adjuvant therapy, show 71% event-free survival and 88% overall survival, with tumor mutational burden, IFNγ signature and PD-L1 expression associated with favorable outcomes.

    • Lotte L. Hoeijmakers
    • Petros Dimitriadis
    • Christian U. Blank
    Research
    Nature Medicine
    P: 1-12
  • 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
    • Marco Bentivenga
    • Richard Brierley
    • Nina Meinzer
    Books & Arts
    Nature Physics
    Volume: 13, P: 1145-1146
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Hepatitis C virus (HCV) variability and its phenotypic consequences aren’t well studied in relation to viral replication fitness and disease severity. Here, the authors identify a replication-enhancing domain in non-structural protein 5A, linking high replication fitness to severe disease outcomes, with implications for understanding HCV pathogenesis in immunocompromised patients.

    • Paul Rothhaar
    • Tomke Arand
    • Volker Lohmann
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-18
  • Creators of software widely used in computational biology discuss the factors that contributed to their success

    • Stephen Altschul
    • Barry Demchak
    • Cole Trapnell
    Special Features
    Nature Biotechnology
    Volume: 31, P: 894-897
  • Whole-genome sequencing of an ancient male Egyptian revealed a mixture of North African Neolithic and eastern Fertile Crescent ancestry, suggesting human migration between Egypt and Mesopotamia by the Old Kingdom period.

    • Adeline Morez Jacobs
    • Joel D. Irish
    • Linus Girdland-Flink
    ResearchOpen Access
    Nature
    Volume: 644, P: 714-721
  • 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
  • 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
  • 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
  • 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
  • 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
  • The authors summarize the data produced by phase III of the Encyclopedia of DNA Elements (ENCODE) project, a resource for better understanding of the human and mouse genomes.

    • Federico Abascal
    • Reyes Acosta
    • Zhiping Weng
    ResearchOpen Access
    Nature
    Volume: 583, P: 699-710
  • Claudia Langenberg, James Meigs and colleagues apply a joint meta-analysis approach that accounts for differences in body mass index to identify variants associated with glycemic traits. They report six new loci associated with fasting insulin levels and provide insights into the genetic basis of insulin resistance.

    • Alisa K Manning
    • Marie-France Hivert
    • Claudia Langenberg
    Research
    Nature Genetics
    Volume: 44, P: 659-669
  • 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
  • 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
  • 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
  • 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
  • A study reports whole-genome sequences for 490,640 participants from the UK Biobank and combines these data with phenotypic data to provide new insights into the relationship between human variation and sequence variation.

    • Keren Carss
    • Bjarni V. Halldorsson
    • Ole Schulz-Trieglaff
    ResearchOpen Access
    Nature
    Volume: 645, P: 692-701
  • The Cancer Genome Atlas Research Network reports an integrative analysis of more than 400 samples of clear cell renal cell carcinoma based on genomic, DNA methylation, RNA and proteomic characterisation; frequent mutations were identified in the PI(3)K/AKT pathway, suggesting this pathway might be a potential therapeutic target, among the findings is also a demonstration of metabolic remodelling which correlates with tumour stage and severity.

    • Chad J. Creighton
    • Margaret Morgan
    • Heidi J. Sofia.
    ResearchOpen Access
    Nature
    Volume: 499, P: 43-49
  • Here the authors identify TNIP1 as a risk factor for a fatal neurodegenerative disorder and discover specific genetic loci associated with the three main subtypes of this disorder. The findings highlight distinct disease mechanisms, emphasizing the roles of immunity and the notch signaling pathway.

    • Cyril Pottier
    • Fahri Küçükali
    • Rosa Rademakers
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-19
  • A chromosome-level genome assembly for the Ninu (greater bilby) and genome sequences for the extinct Yallara (lesser bilby), together with resequenced genomes, shed light on the demographic history of Ninu and inform conservation plans for this culturally and ecologically important marsupial.

    • Carolyn J. Hogg
    • Richard J. Edwards
    • Katherine Belov
    ResearchOpen Access
    Nature Ecology & Evolution
    Volume: 8, P: 1311-1326
  • To address the question of whether a recurrent tumour is genetically similar to the tumour at diagnosis, the evolution of medulloblastoma has been studied in both an in vivo mouse model of clinical tumour therapy as well as in humans with recurrent disease; targeted tumour therapies are usually based on targets present in the tumour at diagnosis but the results from this study indicate that post-treatment recurring tumours (compared with the tumour at diagnosis) have undergone substantial clonal divergence of the initial dominant tumour clone.

    • A. Sorana Morrissy
    • Livia Garzia
    • Michael D. Taylor
    Research
    Nature
    Volume: 529, P: 351-357
  • Chromodomain Helicase DNA-binding (CHD) proteins have been implicated in neurodevelopmental processes. Here, the authors identify missense variants in CHD3 that disturb its chromatin remodeling activities and cause a neurodevelopmental disorder with macrocephaly and speech and language impairment.

    • Lot Snijders Blok
    • Justine Rousseau
    • Philippe M. Campeau
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-12
  • Tatsuhiro Shibata, David Wheeler, Hiroyuki Aburatani and colleagues report the genomic, exomic and oncoviral sequencing of hundreds of liver cancers from the United States and Japan. The authors analyzed mutation patterns and identified signatures unique to the Asian cases.

    • Yasushi Totoki
    • Kenji Tatsuno
    • Tatsuhiro Shibata
    Research
    Nature Genetics
    Volume: 46, P: 1267-1273
  • The goal of the 1000 Genomes Project is to provide in-depth information on variation in human genome sequences. In the pilot phase reported here, different strategies for genome-wide sequencing, using high-throughput sequencing platforms, were developed and compared. The resulting data set includes more than 95% of the currently accessible variants found in any individual, and can be used to inform association and functional studies.

    • Richard M. Durbin
    • David Altshuler (Co-Chair)
    • Gil A. McVean
    ResearchOpen Access
    Nature
    Volume: 467, P: 1061-1073