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Showing 1–12 of 12 results
Advanced filters: Author: Craig Donner Clear advanced filters

  • 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

  • Accounting for near-surface temperature gradients leads to estimates for annual CO2 uptake in the North Atlantic that are 7% higher, based on a comparison of eddy covariance and bulk CO2 measurements, which is consistent with theory, laboratory assessments and model analysis.

    • Daniel J. Ford
    • Jamie D. Shutler
    • Ian Ashton
    ResearchOpen Access
    Nature Geoscience
    Volume: 17, P: 1135-1140

  • 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

  • Primary open-angle glaucoma (POAG) is highly heritable, yet not well understood from a genetic perspective. Here, the authors perform a meta-analysis of genome-wide association studies in 34,179 POAG cases, identifying 44 previously unreported risk loci and mapping effects across multiple ethnicities.

    • Puya Gharahkhani
    • Eric Jorgenson
    • Janey L. Wiggs
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-16

  • Methods to demonstrate genomic linkages between pathogens across One Health compartments have not been established. Here, the authors compile a collection of E coli genomes from humans, animals, and the environment in Australia and investigate genomic evidence of cross-source clusters.

    • Anne E. Watt
    • Max L. Cummins
    • Benjamin P. Howden
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14

    • Craig H. Jones
    Books & Arts
    Nature Geoscience
    Volume: 5, P: 519

  • A recurrent, transformer-based neural network, called AlphaQubit, learns high-accuracy error decoding to suppress the errors that occur in quantum systems, opening the prospect of using neural-network decoders for real quantum hardware.

    • Johannes Bausch
    • Andrew W. Senior
    • Pushmeet Kohli
    ResearchOpen Access
    Nature
    Volume: 635, P: 834-840

  • 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 influence of X chromosome genetic variation on blood lipids and coronary heart disease (CHD) is not well understood. Here, the authors analyse X chromosome sequencing data across 65,322 multi-ancestry individuals, identifying associations of the Xq23 locus with lipid changes and reduced risk of CHD and diabetes mellitus.

    • Pradeep Natarajan
    • Akhil Pampana
    • Gina M. Peloso
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-14

  • A newly designed control architecture uses deep reinforcement learning to learn to command the coils of a tokamak, and successfully stabilizes a wide variety of fusion plasma configurations.

    • Jonas Degrave
    • Federico Felici
    • Martin Riedmiller
    ResearchOpen Access
    Nature
    Volume: 602, P: 414-419