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  1. forestglip

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

    You mean specifically genes that the DecodeME data suggests might be interesting or based on any source? Including any ME/CFS studies would be a lot more of a challenge depending on what sources are considered. It might be useful. Some other options are linking to that gene list post from the...
  2. forestglip

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

    My shallow understanding is that imputation is done per person in a study, not pooling any participants together, by comparing that person's DNA to a whole genome reference panel, like 1000 Genomes. They look at the pattern of SNPs that they were actually able to test in a person, and see how...
  3. forestglip

    Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes, 2022, Karczewski et al

    I did a bit of a comparison between DecodeME genes and Genebass genes on the DecodeME thread: https://www.s4me.info/threads/initial-findings-from-the-decodeme-genome-wide-association-study-of-myalgic-encephalomyelitis-chronic-fatigue-syndrome-2025-decodeme-collaboration.45490/post-651566 If you...
  4. forestglip

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

    I mainly compiled the list of candidate genes above to check if any of those genes are ranked highly for rare variant associations in the Genebass browser, which includes data from a study of all the phenotypes in the UK BioBank, including ME/CFS. The rare variant study/dataset is discussed...
  5. forestglip

    Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes, 2022, Karczewski et al

    Copying the most significant genes from the Genebass page for CFS here so they show up in searches just in case. These are split up by category of synonymous, missense, or pLoF. There are three types of statistical tests, so three p-values per gene per category. I took the 20 most significant...
  6. forestglip

    Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes, 2022, Karczewski et al

    Not a new paper! This was a large scale effort to look for rare variant associations in all the phenotypes in the UK Biobank, which includes the "chronic fatigue syndrome" trait. ME/CFS is never mentioned in the paper, but the results for all phenotypes are freely accessible on a website they...
  7. forestglip

    Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes, 2022, Karczewski et al

    Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes Published: September 14, 2022 [Line breaks added] Highlights • Public release of gene-based association statistics for 4,529 diseases and traits • Genebass, a browser...
  8. forestglip

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

    Here's an attempt to bring together all of the main candidate genes from different sources: Tier 1 genes, tier 2 genes, genes significant in MAGMA, and the gene (or two genes if it is not clear) closest to a locus for the top 25 loci. Sources: Tier 1 and 2 genes: Candidate genes document...
  9. forestglip

    [Poster abstract] Multimodal non-invasive neurophysiological testing of small fibre neuropathy in long COVID, 2025, Khoo et al

    3603 Multimodal non-invasive neurophysiological testing of small fibre neuropathy in long COVID Anthony Khoo, Kisani Manuel, David Lynn, Maria Crotty Background Long COVID is associated with a diverse range of debilitating neuropathic and autonomic symptoms that may indicate small fibre...
  10. forestglip

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

    Interesting that in this meta-analysis, there actually is a significant gene set enrichment in MAGMA: GOCC_GLUTAMATERGIC_SYNAPSE Paolo commented this on ME/CFS Science Blog's blog about overlapping controls, so I'm not sure how much impact this may have had on the results: I don't know enough...
  11. forestglip

    Article: Leading journal accused of abandoning science over ‘social justice agenda’

    Oh weird. On Firefox for Android, it's redirecting to the homepage of MSN. But every other browser, it seems to work. Thanks for adding the other link.
  12. forestglip

    HLA and pathogens in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and other post-infection conditions, 2025, Georgopoulos et al

    Note that your link goes to the paper the HLA data comes from, which happened before DecodeME, but the text says the title of the thread's paper. Anyway, it looks like the reason they didn't genotype HLA-DQA1 and other loci is that for data on healthy controls, they used the results of an...
  13. forestglip

    Characterizing post-COVID-19 syndrome in multiple sclerosis: Vaccine status, infection burden, and therapy categories as predictors, 2025, Sharma +

    Characterizing post-COVID-19 syndrome in multiple sclerosis: Vaccine status, infection burden, and therapy categories as predictors Deepak Sharma ∙ Christian P. Kamm ∙ Robert Hoepner ∙ Iris-Katharina Penner ∙ Thomas Nyffeler ∙ Lara Diem [Line breaks added] Background Post-COVID-19 syndrome...
  14. forestglip

    Is the key pathology of ME/CFS in bone marrow?

    Maybe specifically EBV-infected B cells? Just to pull from lupus research again, these authors think EBV may be necessary for lupus: The toll like receptor 7 pathway and the sex bias of systemic lupus erythematosus, 2025, Frontiers in Immunology
  15. forestglip

    Pre-pandemic diabetes and risk of long COVID: longitudinal evidence, 2025, Adebisi et al

    Comment on “Pre-pandemic diabetes and risk of long COVID: Longitudinal evidence” Ali Madad Haq Published: 23 October 2025 Main points: Web | PDF | Journal of Diabetes & Metabolic Disorders | Open Access
  16. forestglip

    Pre-pandemic diabetes and risk of long COVID: longitudinal evidence, 2025, Adebisi et al

    Pre-pandemic diabetes and risk of long COVID: longitudinal evidence Yusuff Adebayo Adebisi, Anas Ali Alhur, Najim Z Alshahrani, Victor C Cañezo Jr, Edgar G Cue, Don Eliseo Lucero-Prisno III [Line breaks added] Objective To examine whether pre-pandemic diabetes is associated with an increased...
  17. forestglip

    Bristol Chronic Fatigue Syndrome/ME Service; Bristol M.E. Service - Peter Gladwell

    I don't know if this needs its own thread, but this chapter, from the book 'The Palgrave Handbook of Third-Wave Psychotherapies', is written by Fiona McKechnie, who is affiliated with Bristol ME/CFS Service, according to the journal. Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long...
  18. forestglip

    Protocol Assessing Neuroinflammation in Gulf War Illness Using Magnetic Resonance Spectroscopy, Younger

    Now published: Neurometabolite alterations in Gulf War Illness: a whole-brain magnetic resonance spectroscopy study, 2025, Jones, Younger et al
  19. forestglip

    Neurometabolite alterations in Gulf War Illness: a whole-brain magnetic resonance spectroscopy study, 2025, Jones, Younger et al

    Neurometabolite alterations in Gulf War Illness: a whole-brain magnetic resonance spectroscopy study Chloe Jones, Olivia Haskin, Jarred Younger [Line breaks added] Abstract Gulf War Illness (GWI) affects approximately 30% of veterans who served in the 1991 Persian Gulf War and is...
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