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Showing 1–3 of 3 results
Advanced filters: Author: Ninon Mounier Clear advanced filters

  • Mendelian Randomization approaches are being increasingly refined, but certain statistical limitations hinder their application to GWAS. Here, the authors propose a new Mendelian Randomization method to estimate bi- directional causal effects and explicitly account for heritable confounding.

    • Liza Darrous
    • Ninon Mounier
    • Zoltán Kutalik
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-15

  • Most gene-by-environment interaction methods rely on the availability of the interacting environment. Here, the authors propose a robust maximum likelihood method for estimating the overall statistical interaction between a genetic risk score for a continuous outcome and all environmental variables.

    • Jonathan Sulc
    • Ninon Mounier
    • Zoltán Kutalik
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-13

  • Jonathan Sulc et al. use principal component analysis and Mendelian randomization to conduct a comprehensive analysis of 14 body morphology metrics using data from the UK Biobank. Their results suggest that body size and adiposity have distinct impacts on obesity-related outcomes and highlight a BMI-neutral component affecting body fat distribution, providing further insight into the genetic basis of body shape and its consequences on human health and lifestyle.

    • Jonathan Sulc
    • Anthony Sonrel
    • Zoltán Kutalik
    ResearchOpen Access
    Communications Biology
    Volume: 4, P: 1-13