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  1. ME/CFS Science Blog

    Genetics: Chromosome 20: ARFGEF2, CSE1L, STAU1

    eQTL Catalogue analysis Had a closer look at eQTL that match the DecodeME signal in this region. This uses data from experiments that measured RNA (gene expression) and linked it to the DNA of the participants. eQTL are the DNA letters that change a gene's expression. Often a GWAS hit cannot be...
  2. ME/CFS Science Blog

    News from France

    I don't think any of the authors have actually done research on ME/CFS, only related conditions such as Long Covid, fatigue or functional disorders. So it's a bit weird to try change medical guidelines on a condition that you haven't actually studied or have expertise in. Their involvement...
  3. ME/CFS Science Blog

    Genetics: Chromosome 20: ARFGEF2, CSE1L, STAU1

    Sorry for the late reply. Yes they are all negative values so the deletion is predicted to close chromatin and lower active enhancer marks in the myeloma cell lines.
  4. ME/CFS Science Blog

    General thread on functional disorders in Denmark

    This reminds me of statements by Elise van De Putte who helped pioneer the FINET treatment in children with CFS. A couple of years ago she stated: Source is this 2023 article: Kinderarts Elise van de Putte: ‘Kinderen worden geweldig onder druk gezet’ - NRC
  5. ME/CFS Science Blog

    General thread on functional disorders in Denmark

    Thanks for sharing this. The interview is quite interesting. Here's the link to the RCT on ACT Schroder did but which found null results: Acceptance and Commitment group Therapy for patients with multiple functional somatic syndromes: a three-armed trial comparing ACT in a brief and extended...
  6. ME/CFS Science Blog

    Genetics: Chromosome 20: ARFGEF2, CSE1L, STAU1

    I had a look at the region using ENCODE data on chromatin openness. I used the SCREEN API which organizes the evidence into candidate regulatory elements (CCREs). I looked at 11 core SNPs for the Decode hit (which have more than 80% of the probability of the signal) and found that 7 were in a...
  7. ME/CFS Science Blog

    Fatigue across physical and mental health conditions: results from a multicenter study at the German Center for Mental Health, 2026, Erschens+

    Some caution regarding the 25 CFS patients in this study: They also note the following about PEM which was measured with the DSQ-PEM :
  8. ME/CFS Science Blog

    A comparative atlas of single-cell chromatin accessibility in the human brain, Li et al, 2023

    This is always very useful to calibrate my own analysis. s-LDSC is quite complex to set up and I certainly could have made a mistake. But I tried to redo their schizophrenia and tiredness analysis and my and their coefficients and p-values correlate at 0.99 so that hopefully means my DecodeME...
  9. ME/CFS Science Blog

    A comparative atlas of single-cell chromatin accessibility in the human brain, Li et al, 2023

    Same with tiredness, which looks quite different than ME/CFS in this dataset. The data on tiredness came from the UK biobank using the question: "Over the last two weeks, how often have you felt tired or had little energy?" Source: Deary et al. 2017 Genetic contributions to self-reported...
  10. ME/CFS Science Blog

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

    From the talk around minute 27. Pretty much all autoimmune disorders show a peak and association to HLA, ME/CFS apparently doesn't.
  11. ME/CFS Science Blog

    A comparative atlas of single-cell chromatin accessibility in the human brain, Li et al, 2023

    Their data is in supplementary table 26. I only selected a couple of their traits (many used older and underpowered GWAS) but here's the plot with all of them included. The MSN peak is prominent also in substance disorders such as alcohol and tobacco usage.
  12. ME/CFS Science Blog

    Overview of RNA datasets for tissue and cell type enrichment analysis

    Did an analysis of the chromatin openness (sc-ATAC-seq) rather than RNA in the brain atlas by Li et al. 2023. The main results look like this: For the full analysis see the thread here: A comparative atlas of single-cell chromatin accessibility in the human brain, Li et al, 2023 | Science for ME
  13. ME/CFS Science Blog

    A comparative atlas of single-cell chromatin accessibility in the human brain, Li et al, 2023

    I think this supports the findings of the RNA analyses we did earlier. You can find an overview of these here: Overview of RNA datasets for tissue and cell type enrichment analysis | Science for ME All neuronal traits show peaks at the Intratelencephalic projecting neurons, just like ME/CFS but...
  14. ME/CFS Science Blog

    A comparative atlas of single-cell chromatin accessibility in the human brain, Li et al, 2023

    This is similar to the Siletti 2023 brain atlas that we've been analyzing in relation to DecodeME, but instead of gene expression (RNA), the data points to chromatin openness using snATAC-seq. Chromatin is what packages DNA and more open regions suggests more gene transcription and activity. It...
  15. ME/CFS Science Blog

    A comparative atlas of single-cell chromatin accessibility in the human brain, Li et al, 2023

    Abstract Recent advances in single-cell transcriptomics have illuminated the diverse neuronal and glial cell types within the human brain. However, the regulatory programs governing cell identity and function remain unclear. Using a single-nucleus assay for transposase-accessible chromatin using...
  16. ME/CFS Science Blog

    searchMECFS: An online, interactive platform to facilitate secondary use of biospecimens and associated research data from [ME] […], 2026, Barnette+

    Looks like they require an Institution or Organization Email. https://searchmecfs.org/User/Register
  17. ME/CFS Science Blog

    PRIME International Symposium, September 28-29 2026

    Does anyone know if, where and when videos of the PRIME workshop will become available? I missed it but it sounds very interesting. I wouldn't see this as a replication then, it's probably just DecodeME driving the signal in the meta-analysis due to its large sample size. I look forward to...
  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'm not too keen on this eQTL analysis myself though because it's also influenced by window size and the most important genes might not show a lot of variation and thus eQTLs.
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