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Showing 1–7 of 7 results
Advanced filters: Author: Elodie Persyn Clear advanced filters

  • Cerebral small vessel disease (CSVD) is a major cause of stroke and associated with structural changes of the brain. Here, Persyn et al. perform genome-wide association studies for magnetic resonance imaging (MRI) markers of CSVD, explore genetic correlations and prioritize candidate genes.

    • Elodie Persyn
    • Ken B. Hanscombe
    • Hugh S. Markus
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-12

  • Mendelian randomization can be used to mimic the effects of protein-targeting drugs in a population of individuals. Here, the authors have identified potential causal proteins for stroke in a two-sample Mendelian randomization framework, providing potential stroke therapeutic targets.

    • Lingyan Chen
    • James E. Peters
    • Joanna M. M. Howson
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-14

  • Here the authors perform a trans expression quantitative trait locus meta-analysis study of over 3,700 people and link a USP18 variant to expression of 50 inflammation genes and lupus risk, highlighting how genetic regulation of immune responses drives autoimmune disease and informs new therapies.

    • Krista Freimann
    • Anneke Brümmer
    • Kaur Alasoo
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15

  • A machine learning approach is used to analyse multi-omics (proteomics, metabolomics and transcriptomics) data, producing genetic scores for more than 17,000 biomolecular traits in human blood, and identifying possible associations with disease.

    • Yu Xu
    • Scott C. Ritchie
    • Michael Inouye
    Research
    Nature
    Volume: 616, P: 123-131

  • Here, the authors present a method to build genetically personalised metabolic models across tissues to estimate individualised reaction fluxes. A fluxome-wide association study in UK Biobank identifies fluxes associated with metabolites and coronary artery disease.

    • Carles Foguet
    • Yu Xu
    • Michael Inouye
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-15

  • Mendelian randomization (MR) identifies causal relationships from observational data but has increased error rates when the genetic variants used as instruments come from a single region, a typical scenario when assessing molecular traits like protein or metabolite levels as risk factors. Here the authors introduce a single-region pleiotropy-robust MR method, validating the method on three ground truth sources, showing its capability to identify disease-causing molecular traits.

    • Adriaan van der Graaf
    • Robert Warmerdam
    • Zoltán Kutalik
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-19