magma

  1. ME/CFS Science Blog

    Genetic identification of brain cell types underlying schizophrenia, Skene, 2018

    Abstract With few exceptions, the marked advances in knowledge about the genetic basis of schizophrenia have not converged on findings that can be confidently used for precise experimental modeling. By applying knowledge of the cellular taxonomy of the brain from single-cell RNA sequencing, we...
  2. ME/CFS Science Blog

    Overview of RNA datasets for tissue and cell type enrichment analysis

    I thought it would be useful to make an overview of RNA datasets that we can match to the DecodeME DNA results. This could give us clues to which tissues or cell types are potentially involved in ME/CFS. I've made an overview of datasets below and plan to update it as we find new ones. The Chan...
  3. ME/CFS Science Blog

    Preprint Identification of cell types associated with 14 brain phenotypes from more than 10 million single cells, 2025, Phung et al.

    Abstract Genome-wide association studies (GWAS) have yielded unprecedented insight into the genetic variants associated with many human traits. However, translating this insight into knowledge about causal biological mechanisms remains challenging. One promising recent strategy is to link...
  4. ChronicallyOverIt

    Running FLAMES on DecodeME data

    Hi all, Something that has been in the back of my head since the DecodeME data was released was running the newer FLAMES analysis: https://github.com/Marijn-Schipper/FLAMES Somewhat discussed here...
Back
Top Bottom