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Showing 1–23 of 23 results
Advanced filters: Author: Scott Thomas Russell Walsh Clear advanced filters

  • 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

  • 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

  • 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

  • A genome-wide association study of critically ill patients with COVID-19 identifies genetic signals that relate to important host antiviral defence mechanisms and mediators of inflammatory organ damage that may be targeted by repurposing drug treatments.

    • Erola Pairo-Castineira
    • Sara Clohisey
    • J. Kenneth Baillie
    Research
    Nature
    Volume: 591, P: 92-98

  • In this study, Aggarwal and colleagues perform prospective sequencing of SARS-CoV-2 isolates derived from asymptomatic student screening and symptomatic testing of students and staff at the University of Cambridge. They identify important factors that contributed to within university transmission and onward spread into the wider community.

    • Dinesh Aggarwal
    • Ben Warne
    • Ian G. Goodfellow
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-16

  • The Somatic Mosaicism across Human Tissues Network aims to create a reference catalogue of somatic mosaicism across different tissues and cells within individuals.

    • Tim H. H. Coorens
    • Ji Won Oh
    • Yuqing Wang
    Reviews
    Nature
    Volume: 643, P: 47-59

  • Immune lymphocyte estimation from nucleotide sequencing (ImmuneLENS) infers B cell and T cell fractions from whole-genome sequencing data. Applied to the 100,000 Genomes Project datasets, circulating T cell fraction provides sex-dependent and prognostic insights in patients.

    • Robert Bentham
    • Thomas P. Jones
    • Nicholas McGranahan
    ResearchOpen Access
    Nature Genetics
    Volume: 57, P: 694-705

  • It is known that exercise influences many human traits, but not which tissues and genes are most important. This study connects transcriptome data collected across 15 tissues during exercise training in rats as part of the Molecular Transducers of Physical Activity Consortium with human data to identify traits with similar tissue specific gene expression signatures to exercise.

    • Nikolai G. Vetr
    • Nicole R. Gay
    • Stephen B. Montgomery
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-14

  • Temporal multi-omic analysis of tissues from rats undergoing up to eight weeks of endurance exercise training reveals widespread shared, tissue-specific and sex-specific changes, including immune, metabolic, stress response and mitochondrial pathways.

    • David Amar
    • Nicole R. Gay
    • Elena Volpi
    ResearchOpen Access
    Nature
    Volume: 629, P: 174-183

  • A design pipeline is presented whereby binding proteins can be designed de novo without the need for prior information on binding hotspots or fragments from structures of complexes with binding partners.

    • Longxing Cao
    • Brian Coventry
    • David Baker
    ResearchOpen Access
    Nature
    Volume: 605, P: 551-560

  • Relatives of patients with amyotrophic lateral sclerosis have an unexpectedly high incidence of schizophrenia. Here, the authors show a genetic link between the two conditions, suggesting shared neurobiological mechanisms.

    • Russell L. McLaughlin
    • Dick Schijven
    • Michael C. O’Donovan
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-12

  • Better analytical methods are needed to extract biological meaning from genome-wide association studies (GWAS) of psychiatric disorders. Here the authors take GWAS data from over 60,000 subjects, including patients with schizophrenia, bipolar disorder and major depression, and identify common etiological pathways shared amongst them.

    • Colm O'Dushlaine
    • Lizzy Rossin
    • Gerome Breen
    Research
    Nature Neuroscience
    Volume: 18, P: 199-209

  • Sexual dimorphism in genetic vulnerability to schizophrenia, systemic lupus erythematosus and Sjögren’s syndrome is linked to differential protein abundance from alleles of complement component 4.

    • Nolan Kamitaki
    • Aswin Sekar
    • Steven A. McCarroll
    Research
    Nature
    Volume: 582, P: 577-581

  • Naomi Wray and colleagues report an analysis of genome-wide association data sets from the Psychiatric Genomics Consortium for five psychiatric disorders. They find that common variation explains 17–29% of the variance in liability and provide further support for a shared genetic etiology for these related psychiatric disorders.

    • S Hong Lee
    • Stephan Ripke
    • Naomi R Wray
    Research
    Nature Genetics
    Volume: 45, P: 984-994

  • A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. To facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters, we propose the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard.

    • Marnix H Medema
    • Renzo Kottmann
    • Frank Oliver Glöckner
    Comments & OpinionOpen Access
    Nature Chemical Biology
    Volume: 11, P: 625-631