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Showing 1–50 of 417 results
Advanced filters: Author: Francisco Adrian Clear advanced filters
  • Genomic analyses of DNA from modern individuals show that, about 800 years ago, pre-European contact occurred between Polynesian individuals and Native American individuals from near present-day Colombia, while remote Pacific islands were still being settled.

    • Alexander G. Ioannidis
    • Javier Blanco-Portillo
    • Andrés Moreno-Estrada
    Research
    Nature
    Volume: 583, P: 572-577
  • The social exposome—lifelong social and economic adversity—can shape brain health and dementia risk. Here, the authors show that an adverse social exposome is linked to poorer clinical, cognitive, and brain changes in Latin American older adults.

    • Joaquin Migeot
    • Stefanie D. Pina-Escudero
    • Agustin Ibanez
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-18
  • The authors introduce the Neurolipid Atlas, a dynamic resource for the community to gain insight into lipid alterations in neurodegenerative disease, and they leverage the platform to show how cholesterol alterations in astrocytes can dysregulate neuroinflammatory pathways in Alzheimer disease.

    • Femke M. Feringa
    • Sascha J. Koppes-den Hertog
    • Rik van der Kant
    ResearchOpen Access
    Nature Metabolism
    P: 1-23
  • In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

    • Erin M. Buchanan
    • Kelly Cuccolo
    • Savannah C. Lewis
    Research
    Nature Human Behaviour
    P: 1-20
  • Analysis of soundscape data from 139 globally distributed sites reveals that sounds of biological origin exhibit predictable rhythms depending on location and season, whereas sounds of anthropogenic origin are less predictable. Comparisons between paired urban–rural sites show that urban green spaces are noisier and dominated by sounds of technological origin.

    • Panu Somervuo
    • Tomas Roslin
    • Otso Ovaskainen
    ResearchOpen Access
    Nature Ecology & Evolution
    Volume: 9, P: 1585-1598
  • Polygenic risk scores can help identify individuals at higher risk of type 2 diabetes. Here, the authors characterise a multi-ancestry score across nearly 900,000 people, showing that its predictive value depends on demographic and clinical context and extends to related traits and complications.

    • Boya Guo
    • Yanwei Cai
    • Burcu F. Darst
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-16
  • Ultrack leverages candidate segmentations from multiple algorithms and temporal consistency across time points for robust, long-term 3D segmentation in challenging samples such as densely packed zebrafish, fruit fly and nematode embryos.

    • Jordão Bragantini
    • Ilan Theodoro
    • Loïc A. Royer
    ResearchOpen Access
    Nature Methods
    P: 1-14
  • 2023 CX1 is the only L-chondrite-like asteroid analysed from space to ground. It catastrophically fragmented in the atmosphere, depositing 98% of its energy in one burst—an unusual, high-risk fragmentation mode with implications for planetary defence.

    • Auriane Egal
    • Denis Vida
    • Peter Jenniskens
    Research
    Nature Astronomy
    P: 1-14
  • 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
  • Transcription factors (TFs) represent an emerging class of therapeutic targets in oncology. Here, the authors develop Epiregulon, a computational method that constructs gene regulatory networks from ChIP-seq, ATAC-seq and RNA-seq data for accurate prediction of TF activity at the single-cell level, thereby facilitating the discovery of therapeutics targeting TFs.

    • Tomasz Włodarczyk
    • Aaron Lun
    • Xiaosai Yao
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-19
  • Analyses of the exposomes of populations across 40 countries found global disparities in healthy aging attributed to diverse biological, socioeconomic and political factors, with accelerated aging seen in populations from Egypt, South Africa, and Latin American and Caribbean regions.

    • Hernan Hernandez
    • Hernando Santamaria-Garcia
    • Agustin Ibanez
    Research
    Nature Medicine
    Volume: 31, P: 3089-3100
  • 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
  • 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 diversity of ponerine ants varies widely across the globe. This study finds that the origin and early colonization in Gondwana’s tropical regions mainly shaped this distribution, while differences in diversification and dispersal have balanced regional diversity over time.

    • Maël Doré
    • Marek L. Borowiec
    • Bonnie B. Blaimer
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-17
  • 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
  • Geospatial estimates of the prevalence of anemia in women of reproductive age across 82 low-income and middle-income countries reveals considerable heterogeneity and inequality at national and subnational levels, with few countries on track to meet the WHO Global Nutrition Targets by 2030.

    • Damaris Kinyoki
    • Aaron E. Osgood-Zimmerman
    • Simon I. Hay
    ResearchOpen Access
    Nature Medicine
    Volume: 27, P: 1761-1782
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Ziwen Liu et al. report Cytoland, an approach to train robust models to virtually stain landmark organelles of cells and address the generalization gap of current models. The training pipeline, models and datasets are shared under open-source permissive licences.

    • Ziwen Liu
    • Eduardo Hirata-Miyasaki
    • Shalin B. Mehta
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 7, P: 901-915
  • Colitis is one of the most common immune-related adverse events in patients with cancer treated with immune checkpoint inhibitors. Here the authors show that a polygenic risk score for ulcerative colitis can predict immune checkpoint inhibitor-mediated colitis in patients with cancer.

    • Pooja Middha
    • Rohit Thummalapalli
    • Elad Ziv
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-10
  • The prognostic and diagnostic roles of DNA methylation in acute myeloid leukemia remains to be explored. Here, the authors develop DNA methylation-based models for the prediction of five-year survival and clinical molecular subtypes in both pediatric and adult test cohorts.

    • Francisco Marchi
    • Vivek M. Shastri
    • Jatinder K. Lamba
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-19
  • Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

    • Isidro Cortés-Ciriano
    • Jake June-Koo Lee
    • Christian von Mering
    ResearchOpen Access
    Nature Genetics
    Volume: 52, P: 331-341