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  1. ME/CFS Science Blog

    The symptom signaling theory of ME/CFS involving neurons and their synapses

    Genetic data Let’s now move on to some actual data. The best evidence that we have is from genetic studies because of large sample sizes that control for population differences and that are not confounded by other factors such as diet, behavior, or the illness itself. If we look at all the...
  2. ME/CFS Science Blog

    The symptom signaling theory of ME/CFS involving neurons and their synapses

    I wanted to make a thread to discuss the theory that ME/CFS is a signaling problem, located in the synapses of neurons in the brain. I think it fits and would help explain the few findings and observations that we have about the illness. The clinical picture First of all, there is no clear...
  3. ME/CFS Science Blog

    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    For the hits on chromsome 1 and 20, there are so many potential genes on the location it's harder to guess which one might be relevant.
  4. ME/CFS Science Blog

    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    For the hit on chromosome 17, CA10 is the only candidate and it also clearly linked to neurons and synapses. So if we focus on the close-by genes, the clearest hits seem to point to neurons/synapses. The exceptions are OLFM4 on chromosome 13, which has a clear immune connection (linked to...
  5. ME/CFS Science Blog

    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    PEBP1 seems like the second closest to the hit on chromosome 12, next to TAOK3, which seems very stretched out. EDIT: added the image below
  6. ME/CFS Science Blog

    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    Another gene that hasn't been discussed yet but that seems the closest to the hit on chromosome 6q is POU3F2 POU3F2 Gene - GeneCards | PO3F2 Protein | PO3F2 Antibody EDIT: added the image below
  7. ME/CFS Science Blog

    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    Highlighting gene UNC13C, which seems the closest to the hits on chromosome 15. The gene card reads as follows: UNC13C Gene - GeneCards | UN13C Protein | UN13C Antibody EDIT: added the image below
  8. ME/CFS Science Blog

    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    This lecture is interesting and relevant to our discussion: MPG Primer: Linking SNPs with genes in GWAS (2022) Don't understand everything, but there's some discussion that eQTL data and GWAS hits often do not match very well. Genes that are likely to be causally related to disease often do not...
  9. ME/CFS Science Blog

    Multimodal neuroimaging of fatigability development, 2025, Bedard/Nath/Walitt et al

    If these experiments could show that the problems likely do not lie in the muscles itself (peripheral fatigue): wouldn't that affect theories about mitochondrial and endothelial dysfunction as being less likely causes of ME/CFS symptoms?
  10. ME/CFS Science Blog

    Multimodal neuroimaging of fatigability development, 2025, Bedard/Nath/Walitt et al

    They did this in the intramural NIH study (some of the participants in this paper were healthy controls in the ME/CFS study). They reported that ME/CFS patients had faster declines in grip strength but that there were no signs of peripheral fatigue. This reported the slope of the Dimitrov...
  11. ME/CFS Science Blog

    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    This is fascinating @forestglip ! I'm quite a bit behind in my understanding of MAGMA and FUMA compared to you, but I will try to catch up. Based on what you posted, the evidence seems quite persuasive that the differences found in DecodeME (not just the 8 hits) point to something happening in...
  12. ME/CFS Science Blog

    Genetics: HLA-DQA*05:01

    Looks like the accuracy of imputation is usually > 95% in common variants in European populations (although I found it quite hard to find the numbers on this. I suppose it's easy to test: you could just deleted a portion of what you measured and then try to impute them.)...
  13. ME/CFS Science Blog

    Genetics: HLA-DQA*05:01

    Of the 8 hits, only 1 was measured, but the others have a high INFO_SCORE suggestion that their distributions follow Hardy-Weinberg Equilibrium. I suppose it's based on the strong correlations between SNPs that you only need to know a few to be pretty certain what the others are. But I was...
  14. ME/CFS Science Blog

    Genetics: HLA-DQA*05:01

    My understanding is that only ca. 820.000 SNPs were measured, and approximately half of these were discarded because of bad quality. The other 8 million were imputed. See Chris his response here...
  15. ME/CFS Science Blog

    Effects of therapeutic interventions on long COVID: a meta-analysis of randomized controlled trials, 2025, Chang Tan et al

    Didn't feel like going deeper into the evidence because the included populations were so diverse and dissimilar to ME/CFS. Also got the impression that the reviewers didn't care much about quality of evidence. Only briefly scanned the studies but of the 25 included I don't think there's one...
  16. ME/CFS Science Blog

    Effects of therapeutic interventions on long COVID: a meta-analysis of randomized controlled trials, 2025, Chang Tan et al

    Made this thread on the review: 1) A new review on Long Covid recommends 'exercise training' but it's based on low-quality trials with high risk of bias and problematic inclusion criteria. Some didn't even focus on Long Covid patients, just people who survived COVID-19. 2) The review included...
  17. ME/CFS Science Blog

    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    In that case it might be quite important. I wonder if we should interpret the likelihood of possible genes in light of this MAGMA analysis: those that are not expressed in the brain might be less likely to be a relevant gene compared to those who are highly expressed in the brain (Figure 4 In...
  18. ME/CFS Science Blog

    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    I think in the DecodeME webinar just now Sonya said that they had 9 requests from other researchers to access the DecodeME data.
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