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  1. forestglip

    Genetics: HLA-DQA*05:01

    Just in case there's a connection, this other study found other suggestive (not significant after correction) protective HLA alleles (one of which, interestingly, it says, is protective against rheumatoid arthritis): Human Leukocyte Antigen alleles associated with Myalgic...
  2. forestglip

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

    The paper says this, so that shouldn't be the case: "A1FREQ is the frequency of the effect allele in the combined cohort."
  3. forestglip

    Genetics: HLA-DQA*05:01

    HLA-DQA*05:01 Potential association from DecodeME:
  4. forestglip

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

    I wonder how much overlap there was between the cases in DecodeME and the 10,327 cases in the UK Biobank.
  5. forestglip

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

    Here are those 8 SNPs from the summary stats for GWAS 1: I'm confused about how the frequency in cases and controls separately for several of these can both be higher than the frequency combined.
  6. forestglip

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

    It's certainly more significant in DecodeME than in the replication. It just didn't reach the strict threshold for genome-wide significance of p<5x10-8 so it wasn't reported as a candidate locus/gene. In DecodeME, it got p=2.48x10-7. In the replication, it got p=.027 (before multiple test...
  7. forestglip

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

    I wonder if there will be an analysis that looks at only severe or only severe+moderate patients. Excluding mild still leaves you with 71% of the participants. Maybe there would be other interesting findings. Maybe larger effect sizes.
  8. forestglip

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

    Just had a quick look at if any of the top 25 significant genes from Table S3 were significant in a few other genetic studies. I only have the genes saved from a few of the genetic studies that have been done, so I hope to check others too at some point, but I found that DCC and CDK5RAP1 were...
  9. forestglip

    Donate to build on the work of DecodeME

    Also done. Let's get that whole genome study, SequenceME, or whatever else they've got cooking.
  10. forestglip

    DecodeME blog: X marks the spot where ME/CFS biology can be discovered

    Yes, these specific parts: Edit: Seems to pretty much be all over the brain though.
  11. forestglip

    DecodeME blog: X marks the spot where ME/CFS biology can be discovered

    Such a historic moment for ME/CFS and related conditions. Thank you to everyone on the DecodeME team, the patients, and everyone else who helped make this happen.
  12. forestglip

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

    If you look at the table I posted a few posts up, it shows the frequency of the effect allele under A1FREQ. So for RABGAP1L, it says 0.325, which means 32.5% of the combined cases and controls had the effect/risk allele.
  13. forestglip

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

    Even though it was tough to get significance with the lower numbers in the male cohort, it's really nice to see that the effect direction is identical for all 8 of the main loci in females and male. And two of the three that were genome-wide significant in females were p<.017 (Bonferroni...
  14. forestglip

    DecodeME in the media

    Just posted on the DecodeME blog: "Initial DecodeME DNA Results" Copying the first section, more at the link: Main findings from our analysis Your genes contribute to your chances of developing ME/CFS. People with an ME/CFS diagnosis have significant genetic differences in their DNA...
  15. forestglip

    Steroid dynamics in myalgic encephalomyelitis / chronic fatigue syndrome: a case-control study [...], 2025, Thomas, Armstrong, Bergquist et al

    So are you suggesting they made an error in the statistics? Or that the results aren't strong enough to base conclusions on? For the former, I don't see any reason to think what they got was not possible. For the latter, their conclusions have very little to do with Table 10's findings.
  16. forestglip

    Financial burden of patients with post-acute COVID-19 syndrome, 2025, Scheel-Barteit et al

    Based on a questionnaire as opposed to objective dollar amounts:
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