Search results

  1. forestglip

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

    The only result I see of these from a search of the words is multiple sclerosis in UK BioBank and it doesn't look to be significant. (Also all results from all tested traits are in the attached files if you want to explore.) From UK BioBank: Multiple Sclerosis: Diagnoses - main ICD10: G35...
  2. forestglip

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

    I've now run this tool on a few different datasets using LDSC to find genetic correlations between ME/CFS and other traits. I'll attach all results for download and just mention some specific correlations. Wikipedia: First I ran it on the dataset "PGC (Psychiatric Genomics Consortium) and...
  3. forestglip

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

    The above was the 10th most significant locus in the main GWAS (though its p-value of 1.19e-7 didn't pass the genome-wide threshold). NEGR1 appears to be the closest gene. Lead variant: 1:73,126,414:C:CA There appears to be evidence linking NEGR1 to depression. Link to PubMed search for...
  4. forestglip

    Mapping cerebral blood flow in [ME/CFS] and orthostatic intolerance: insights from a systematic review, 2025, Christopoulos, Armstrong et al

    Which part of the conclusion goes beyond the evidence? It seems fairly reserved to me. They saw many studies that found reduced CBF in ME/CFS. They said CBF is reduced in ME/CFS. The reason for the CBF reduction (deconditioning, medications, ME/CFS pathophysiology, etc) is a different...
  5. forestglip

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

    Awesome! I'm not yet positive I understand it right, but I've been trying to find if there's any tool to find the best correlations based on raw genetic data from thousands of other traits, and this might be it? And you don't even have to convert to grch37 or rsids.
  6. forestglip

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

    Some posts about sleep disturbance in ME/CFS have been moved to: Sleep problems in ME/CFS - discussion thread
  7. forestglip

    Favorable responses to upadacitinib, a JAK1 inhibitor, in [LC] with predominant neuropsychiatric symptoms: case reports [...], 2025, Jyonouchi et al

    Favorable responses to upadacitinib, a JAK1 inhibitor, in long COVID patients with predominant neuropsychiatric symptoms: case reports in 2 autistic patients and one typically developing patient Harumi Jyonouchi, Jeffery Kornitzer, Lee Geng [Line breaks added] Abstract The long-term impact of...
  8. forestglip

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

    I see a few reasons: - Different reference panel (1000G vs UK BioBank). - Liftover to another assembly only loses 0.3% of variants, while our mapping to SNP method lost 6% (though it's unclear how many more are lost later in both methods when MAGMA refers to the LD reference panels) - I don't...
  9. forestglip

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

    Just a guess, but I think the UK BioBank data might not be open access like 1000 Genomes is. Maybe worth checking though.
  10. forestglip

    DecodeME in the media

    I get a print subscription to Science. I've been excitedly waiting for this issue, and it finally came:
  11. forestglip

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

    Yeah, I don't know where to start to find the right files. It's all so interesting. It feels like there's so much hidden treasure in this data file of DNA, and all these free tools across the internet to analyze it. I'm just very lacking in the experience and energy departments, so most of it...
  12. forestglip

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

    Looks interesting. I tried to see if I could do anything, but it's too much stuff I don't know how to do, like the part about creating credible set files. In other news, based on a suggestion by @hotblack, I tried to use the UK BioBank reference panel for FUMA instead of the 1000 Genomes...
  13. forestglip

    Review Recent research on Gulf War illness and other health problems in veterans of the 1991 Gulf War: Effects of toxicant exposures [...], 2015, White et al

    Hmm, the veterans affairs website says: The file it links to is a 2011 document, but the above study (which appears to be commissioned by the VA) is from 2015. Edit: See appendix A for the literature review from the VA in 2009 that found the evidence was not sufficiently strong to connect PB...
  14. forestglip

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

    Note that the script hotblack posted includes a lot of extras for convenience, like remembering settings for future runs. These are the only required steps we used: FUMA does make MAGMA much easier (though requires converting to GRCh37). I've been looking for other online tools for analyzing...
  15. forestglip

    Review Recent research on Gulf War illness and other health problems in veterans of the 1991 Gulf War: Effects of toxicant exposures [...], 2015, White et al

    Information from Veterans Affairs: Bateman Horne Center says this for dosages for orthostatic intolerance: Interestingly, potentially lower dosage for military than for OI patients.
  16. forestglip

    Preprint Effects of ketamine and esketamine on death, suicidal behaviour, and suicidal ideation in psychiatric disorders: [review], 2025, Plöderl et al

    I think ketamine has been regarded as one of the most promising psychiatric drugs, but this seems to show the effect may not be so impressive, at least for suicidality.
  17. forestglip

    Preprint Effects of ketamine and esketamine on death, suicidal behaviour, and suicidal ideation in psychiatric disorders: [review], 2025, Plöderl et al

    Effects of ketamine and esketamine on death, suicidal behaviour, and suicidal ideation in psychiatric disorders: A systematic review and meta-analysis Martin Plöderl, Ruth Cooper, Tom Walker, Vibha Shah, Mark Horowitz, Constantin Volkmann, Joanna Moncrieff [Line breaks added] Background...
  18. forestglip

    Review Recent research on Gulf War illness and other health problems in veterans of the 1991 Gulf War: Effects of toxicant exposures [...], 2015, White et al

    Note this is not a new study. This is a very wide-ranging review of gulf war illness research published up to 2015. I'm particularly interested in how sure they appear to be that pyridostigmine bromide (PB) (AKA Mestinon) and pesticides are causally linked to GWI. Table 4 summarizes all the...
  19. forestglip

    Review Recent research on Gulf War illness and other health problems in veterans of the 1991 Gulf War: Effects of toxicant exposures [...], 2015, White et al

    Recent research on Gulf War illness and other health problems in veterans of the 1991 Gulf War: Effects of toxicant exposures during deployment Roberta F White, Lea Steele, James P O’Callaghan, Kimberly Sullivan, James H Binns, Beatrice A Golomb, Floyd E Bloom, James A Bunker, Fiona Crawford...
  20. forestglip

    NLRP3 Inflammasome and Caspase-1 Promote Fibronectin Dysregulation in Long COVID Syndrome, 2025, Musa et al

    NLRP3 Inflammasome and Caspase-1 Promote Fibronectin Dysregulation in Long COVID Syndrome Hawraa Kadhum Musa, Hussein Kadhem Al-Hakeim [Line breaks added] Abstract Long COVID (LC) syndrome which persist after of acute COVID-19 Neuropsychiatric disorders, fatigue and respiratory symptoms are...
Back
Top Bottom